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Category: Analytics

Is an engineering background essential to becoming a data scientist?

Posted on by Imarticus Learning

Data science is one of the most popular career options at present. It is one of the rare fields that offer a combination of both exciting and challenging job profiles. What is best about data science is that it does not restrict. Whether you’re from a science, commerce, or arts background, if you’re good at programming and statistics, you can become a data scientist.

Now coming to the big question, is an engineering background essential for becoming a data scientist? The answer is no, it is not at all necessary to have an engineering background if you want to be a data scientist. 

Although being from a technical background gives a lot of edges, this job profile doesn’t necessarily ask for a degree from a particular stream, be it engineering or some other. Instead, data science recruiters always look for candidates which have strong problem-solving and analytical skills along with a good knowledge of programming languages such as R, Python, Java, AWS, etc. 

How to Become a Data Scientist Without Engineering? 

If you’re not from an engineering background and want to pursue a career in data science, then it is definitely possible to do so. The job of a data scientist doesn’t discriminate on the basis of educational background and degrees that one has. In fact, an engineering degree is of no relevance in the field of data science unless it is computer science. 

Below are some tips that will help you set your foot in the data science industry and build a successful data scientist career:

Have a Basic Understanding 

The very thing you should do is have a basic knowledge of what exactly is data science, what skills it requires, and what job profiles it offers. Here are some common streams in data science:

  • Business Analyst 
  • Data Analyst 
  • Data Engineering 
  • MIS Reporting Executive 

A good idea is to learn about all the job roles and profiles in this sector and then try to figure out what roles you’re interested in. It is recommended to have a clear mindset of the industry or business sector that you want to work with, especially when you don’t belong to a technical background. 

Learn Programming Languages and Mathematics 

When you finally decide to switch your career path, then the first skills you need to acquire to become a data scientist include programming languages and mathematics. 

If you haven’t done engineering, then learning mathematics and programming languages can sound a bit tough at first, but always remember that nothing is too difficult to learn. You can easily gain these skills with practice and the right guidance. 

Programming languages such as Python, SQL, R, etc. are the prerequisites in data science. And believe it or not, these languages are much more comfortable and easier to learn than other languages like Java, C, and C++.

However, remember that learning only the programming languages is not enough. You also have to brush up on your mathematics and learn statistics very thoroughly. 

Take Data Scientist Course 

If you don’t know where to get started, then the best option is to take the right data scientist course. The best course from a reputed institute can help you learn data science online in the most effective and convenient way. 

Practice with Real-world Projects 

Once you’ve enough knowledge of mathematics and programming, you need to start practicing with real-world projects to enhance your practical knowledge. Always remember, data science doesn’t require any bookish knowledge, it requires the candidates to be exceptional at problem-solving, instead. 

Working on real projects not only helps you gain more expertise but also helps you build a strong portfolio to get a good job. 

Be a Part of the Data Science Community

Always keep looking for conferences, events, and summits related to data science. By attending these events, you get a great chance to network along with an opportunity to learn more about the field. Not just offline, you can join such events online as well. Furthermore, for networking, a good idea is to stay active on platforms like LinkedIn. 

Finally, Prepare to Face the Interviews

Once you’ve understood data science, acquired the right skills, and taken the right course, you can start applying for data science jobs and prepare for the interviews. Build your resume, write cover letters, and start contacting the network you’ve built by highlighting the projects you’ve worked upon. 

Conclusion

Is an engineering degree necessary for becoming a data scientist? The short answer is, NO! 

Anyone from any field, be it science, commerce, or arts can become a data scientist. More than the educational background and degree, data science recruiters look for the right skills such as programming and mathematics. By gaining great proficiency in these skills, you can definitely build a successful data scientist career. We hope the information provided in this article helps you in taking the right direction! 

The best Python online course for beginners

Posted on by Imarticus Learning

No doubt that Python programming is gaining tremendous popularity, and it’s no surprise that more and more people are searching for the best way to learn Python online. Python is a highly versatile language that can be used for data science and analytics, web development, game development, and more.

For those who are new to Python programming, an online course is an ideal way to learn! By signing up for a comprehensive online data science and analytics course or Python course, you can learn the fundamentals of the language without ever having to leave your home or office.

In this post, we will discuss the rise of Python programming. We will also cover some of the benefits of learning Python and how this language can help you in your career choice.

The rise of Python programming

Python programming is quickly becoming a must-have skill set for data science and analytics jobs. Companies are looking for developers who have experience manipulating data and creating meaningful insights from data sets. And in order to learn the skills required for these jobs, programming knowledge is essential.

Not only is Python an excellent language to learn for data-related tasks, but it’s also becoming increasingly popular with web developers due to its simple syntax and readability. As a result, many tech companies are investing in Python courses and tutorials to ensure their employees have the necessary skills.

Benefits of learning Python

Python programming offers numerous benefits when compared to other languages. 

Here are 7 of the most notable advantages of learning Python:

  • Easy to learn and use – Python is an ideal language for starters because it is easy to learn and use. It has a simple syntax that makes coding fun and intuitive.
  • Highly versatile – Python can be used for almost any project, from web development to data science and analytics.
  • Scalable – As your projects grow in complexity, you can easily scale up your code using the powerful features of Python programming.
  • Flexible – The language is flexible enough to make changes without any need to rewrite the entire program from scratch.
  • Portable – The same code can be used on various machines, making Python portable.
  • Open source – Python is open source, meaning the code is free to use, modify, and distribute.
  • Supported by a large community – With a massive online community of users and developers offering support, it’s easier than ever to learn Python programming and find help when you need it!

How can it help you in your career?

Python programming is an incredibly useful skill for data scientists, web developers, and software engineers. It’s a highly versatile language that can be used to create powerful programs and applications.

Those with knowledge of Python programming can easily learn the fundamentals of data science and analytics as well as web development. This skill set will open up new career opportunities in a variety of industries and help you stand out amongst your peers.

By learning Python online through an interactive course, you will gain valuable knowledge that will help you succeed in the modern tech industry. The best part is that you don’t need to leave your home comfort to learn this powerful language! With the right online course, you can learn Python wherever or whenever you like.

So, Start your journey today by signing up for the best Python online course for beginners!

Explore Data science and analytics course with Imarticus Learning

Imarticus Learning offers a comprehensive data science and analytics certification course. With our experienced instructors and interactive lessons, you will learn the fundamentals of Python programming in no time. Our course covers everything from basic Python concepts to advanced data analysis techniques, giving you valuable insights into the world of data science and analytics.

Course Benefits for Students:

  • Students can learn Python online without leaving their home comfort.
  • Gain hands-on experience with data science and analytics codes.
  • PG in data analytics certification provides learners the complete theoretical and practical knowledge of data analytics.

Visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad, or get in touch via the chat support system.

The evolution of Machine Learning courses in 2022

Posted on by Imarticus Learning

Machine Learning is a field of study that involves using data for automating various tasks and improving the efficiency of systems or machines. It is identified as a component of artificial intelligence. Machine Learning algorithms can develop a model based on sample data, called training data for making decisions. These algorithms also help in predicting an outcome without being exclusively dedicated to doing so. Machine Learning algorithms are used in various applications like email filtering, computer vision, and medicine where creating traditional algorithms for performing the required tasks seems challenging. We are here with this IIT AIML course that can help you in taking a huge step closer to your dream career. 

Importance of Machine Learning

The main importance of Machine Learning is that it helps enterprises visualise the patterns of business operation and customer behaviour. It also helps in developing new products. Many reputed companies like Google, Uber, and Facebook have made machine learning an integral part of their operational wing. Machine learning has also become a major differentiating point for several companies with their counterparts. 

What are the Different Types of Machine Learning? 

Conventional machine learning is often determined by how an algorithm achieves higher accuracy in its predictions. There are four major approaches namely, Unsupervised Learning, Supervised Learning, Reinforcement Learning, and Semi-supervised Learning. Data scientists have to choose a suitable algorithm type based on the type of data that they predict. 

  • Unsupervised Learning: This is a type of machine learning involving algorithms that work in unlabelled data. The algorithm scans data sets searching for a useful connection. These algorithms can help in predetermining the output of these predictions.
  • Supervised Learning: In this category, data scientists provide algorithms with determined training data and assess the variables which have to be checked for correlations. Both the input and output of the algorithm are mentioned here.
  • Reinforcement Learning: Data Scientists mostly use this type of machine learning to help a machine learn how to complete a process that involves multiple steps and pre-defined rules. Data scientists create an algorithm to accomplish a task and provide positive or negative prompts on completing a specific task. Mostly, the algorithm on itself can decide what steps must be taken along the way.
  • Semi-supervised Learning: This type of machine learning is a combination of two supervised learning and unsupervised learning. Data scientists mostly feed only labeled training data in algorithms but the model can freely investigate data by itself and create its apprehension of the data set. 

About this Artificial Intelligence and Machine Learning Certification Programme 

corporate leadership

This certificate program in Artificial Intelligence and Machine Learning is one of the best machine learning courses you can go for. There are numerous advantages to enrolling in this program. It has been introduced in partnership with E&ICT Academy IIT Guwahati and industry giants to deliver effective learning to those who want to build a career in Artificial Intelligence and Machine Learning. It is a 9-month long program that prepares you for high-paid job profiles like Machine Learning Engineer, Data Scientist, AI Engineer, and Data Analyst. 

This course can effectively boost your basic concepts and skills in Machine Learning and Artificial Intelligence. Get benefits from our Expert Mentorship service and acquire hands-on experience working with real-world projects. Many realistic projects from different industries have been added to the curriculum to strengthen your knowledge and guide you on how to implement your skills practically. Not just that, but this course can also take you a long way in grabbing profitable career opportunities in all fields related to Machine Learning and Artificial Intelligence. 

Why Should You Enrol in This Programme? 

If you’re interested in Data Science, you need to learn Machine Learning thoroughly as it is an important tool used in data science. However, if you’re still not sure about why you should enrol for this artificial intelligence certification course, here are some major highlights of this program for you: 

  • World-class academic faculty 

By enrolling in this program, you can learn machine learning from top-rated faculty in India as they content group discussions and live online classes. These sessions also help you in improving your basic concepts of Data Science and industry giants will guide you on the practical use of Machine Learning techniques through various projects. 

  • Flexible learning 

The curriculum of this course has been designed based on NEP 2020 and it ensures to give a lot of flexibility for the students. You can transfer the program credits for 1 year. 

  • Acquire job-required skills 

Lastly, this program helps you in acquiring skills that are in great demand and are required by every aspirant of Data Science. 

Conclusion 

That’s all you need to know about our certification program in Machine Learning and Artificial Intelligence. There are so many remarkable aspects of this program that make it highly useful for all those who are willing to build their career in Data Science. This program can only help you in learning the concepts of Machine Learning but it covers all the relevant fields. This, in turn, prepares you for all job opportunities related to the field of Data Science. 

Getting a Certification In AI? Here’s What You Need to Know

Posted on by Imarticus Learning

It is a commonly known fact that the popularity of artificial intelligence and machine learning courses is gaining pace with each passing day. Thanks to the interest of people in this field and the necessary impetus by the education sector in India, AI and ML courses are available at almost every technological institution in India. 

Resultantly, students, especially if they are from the Computer Science or Computer Applications stream, are leaning towards AI certification because of the rich pool of jobs in this sector.

Before enrolling in a course in artificial intelligence and machine learning, you need to be aware of some trends in this sector. They will help you make the right decision and choose a course that suits your requirements.

5 points to know about AI and ML certification

Here are 5 points that you should keep in mind when looking for a course in AI and ML –

Python is the predominant language in AI and ML

In an artificial intelligence and machine learning course, Python is the only language you need to master. So if you have a background in C, C++ or Java, then you need to add one more programming language to your list. Don’t worry; the basics of all these languages are the same, with some minor differences in syntax and some concepts. If you have a programming background, then you will pick it up easily, and with regular practice, you will master it.

Knowing Mathematics and Statistics is important for AI and ML

An extensive knowledge of various mathematical concepts like Linear Algebra, Calculus and Probability is required for a student to know. They also need to know the in-depth concept of statistics like accuracy, precision, correlation, recall, variance, f-score, simple linear regression, root mean squared error and basic hypothesis testing like p-values and test statistics.  

There are multiple types of AI certifications that you can acquire

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You might get an AI certification majorly in two or three combinations. The first one could be an artificial intelligence and machine learning course. In this course, the focus could be to learn machine learning fundamentals like Python Programming, Supervised and Unsupervised learning. You also need to learn computer vision, natural language processing, speech and Neural Networks.

There is also the Artificial Intelligence and Data Science Certification. Although it could set you off in a different direction than expected, it is relevant to this field. It is more suited to people who would love to be involved in projects to extract insights. The third type, of course, could be AI and Analytics. However, it is a distant cousin of sorts. So, it makes no point in pursuing it.  

Capstone projects make all the difference while you are seeking a job  

Without a capstone project, an AI certification course is incomplete. It gives you a whiff of what you might have to face after you are hired as a professional in a company. Most employers love a job-ready employee, i.e. a professional who does not need to be trained.

It is illogical to think a student would be prepared for a job beforehand. But with the aid of these capstone projects, they get enough experience and skills to land a job. They are also aware of all challenges they would have to face when facing different real-life situations. They will have a problem-solving approach rather than being in panic mode. So the students will be mentally prepared beforehand.

Institution and certification matters

The biggest problem the students face when they are in AI and ML is that there is no dearth of colleges, universities and institutes that are offering it. There are even courses that are available online. Even the topmost software companies are offering it. Some of these are auditing courses, and others give you a certification.

But do they hold value? Will a student be able to gain the requisite knowledge and land a real-life job with these certifications? For that, we can only tell the institution’s reputation and credibility matter big time when it comes to the value of the certification. This is why Imarticus Learning has collaborated with E&ICT and IIT Guwahati to provide a certification course in AI and ML from the most prestigious technological institute in India. The course has substance and holds enough value to land you a job.

To sum up, these are some points you need to keep in mind while researching for an AI certification. It will help you make the final decision and select a course that will fit your career goals, ensuring success in the coming years.

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Learn supply-chain compliances and leverage a competitive advantage

Posted on by Imarticus Learning

Learn supply-chain compliances and leverage a competitive advantage

It’s no secret that supply-chain management is a complex and ever-changing field. With new regulations and standards being enacted all the time, it can be hard to keep up. But if you want your business to remain competitive, it’s important to stay on top of the latest changes. One area that has seen a lot of recent activity is supply-chain compliance. Understanding the various compliance requirements and how to meet them can give your business a significant advantage. In this blog post, we’ll look at some of the most important compliance issues to be aware of and how you can ensure your supply chain is up to date.

Significance of Supply Chain Management for new-age businesses

The internet has disrupted nearly every industry, and the business world is no exception. In the past, businesses could get by with a linear supply chain, taking raw materials, turning them into products, and then selling them to customers.

However, the internet has made the world more connected than ever before, and customers now expect businesses to be able to meet their needs on a more personal level. This means that companies need to have a more complex and efficient supply chain to succeed.

Supply chain management coordinates all the different moving parts of a business’s supply chain to ensure everything runs smoothly. This includes everything from sourcing raw materials to manufacturing products to distributing them to customers.

There are many benefits of having a well-managed supply chain. Perhaps most importantly, it can help businesses save money. A well-run supply chain can source materials at the best possible price and then get them quickly and efficiently to where they need to go. Additionally, a well-managed supply chain can help businesses respond quickly to changes in customer demand.

In today’s business world, having a strong supply chain management strategy is essential for any company that wants to be successful. By taking the time to understand all the different aspects of supply chain management and putting together a solid plan, businesses can put themselves in a great position to succeed in the years ahead.

Leveraging competitive advantage through supply-chain management?

To leverage a competitive advantage through supply-chain management, businesses must ensure compliance with all relevant regulations. This includes rules governing the procurement of materials, the transportation of goods, and the disposal of waste. By complying with these regulations, businesses can avoid costly fines and penalties and improve their overall efficiency. In addition, by maintaining a compliant supply chain, businesses can build trust with their customers and partners, leading to improved relationships and increased sales.

What are the basic skills needed to be a Supply Chain Manager?

To be a successful supply chain manager, certain basic skills are needed. These include strong analytical and problem-solving abilities and good communication and interpersonal skills. The ability to effectively manage and motivate teams is also essential. Additionally, supply chain managers need to have a good understanding of technology and how it can be used to improve efficiency and effectiveness within the supply chain.

Learn and Grow with Iamrticus Learning:

training and development

Future-proof your career new-age curriculum offered through professional certification in the supply chain & Analytics program from Imarticus Learning.

Industry leaders have designed this IIT Roorkee supply chain management course to provide a cutting-edge experience to candidates willing to make a career in operations and supply chain. The course makes you an expert in managing uncertainties in a Supply Chain system. 

Supply Chain Analytics enables management to make data-driven decisions at strategic, tactical, and operational levels.

Certifications for supply chain professionals are significant with increasing need for professionals with process and analytics skills. This course prepares you for high-demand job roles such as Data Scientist, Demand Planner, Supply and Operations Planner, and Supply Planner. 

Course USPs:

  • Learn in-demand tools and projects with six real-world projects.
  • Master new-age SCM and Analytics skills
  • Best trainers and faculty in India
  • Attend 1:1 mentoring sessions with industry stalwarts 

For further details, contact the Live Chat Support system or visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, Gurgaon, and Ahmedabad.

Want to master ML (machine learning) and AI to supercharge your career? Read on

Posted on by Imarticus Learning

Want to master ML (machine learning) and AI to supercharge your career? Read on

Artificial intelligence (AI) and machine learning (ML) are the two hottest topics in the tech world. Companies like Google, Facebook, and Amazon are all investing heavily in these cutting-edge technologies, and they’re always searching for talented engineers who can help them push the envelope even further. If you’re looking to supercharge your career, mastering ML and AI is a great way to do it. Here’s what you need to know.

What are AI and Machine Learning?

Before we dive into how to master ML and AI, it’s essential to understand what these terms mean. 

Artificial intelligence is a broad field that deals with creating intelligent machines that can react and work like humans. This can be anything from teaching a computer how to play chess to building a self-driving car. 

On the other hand, machine learning (ML) is a subset of AI that allows computers to improve and learn from experience without being explicitly programmed. So instead of programming a computer to do something specific, you feed it data (known as “training data”), and it figures out how to do it. 

For example, if you wanted to build a system that could automatically identify cats in images, you would give it a bunch of images containing cats and images that don’t include cats. The ML algorithm would then learn from this training data and be able to identify cats in new images automatically. 

How to Become an AI/ML Expert?

 

  • Get a degree 

 

Although you don’t need a degree to get started in ML or AI, having one will give you a solid foundation of knowledge to build upon. Plus, degrees from top schools are highly respected by employers in the tech industry. If you’re unsure which route to take, consider getting a degree focusing on data science or artificial intelligence.

  • Take online courses from leading providers. 

There are many online courses available that can teach student’s the basics of machine learning and artificial intelligence. Courses from leading providers are respected by employers and will give you the necessary skills to get started in the field.

  • Participate in open-source projects. 

There are several ways to get involved in the machine learning and artificial intelligence community. You can join open-source projects, make contributions, or collaborate with others on their ideas – all of which will give you invaluable experience for your future career!

  • Stay up-to-date on the latest developments. 

Machine learning and AI constantly evolve, so staying updated on the latest developments is essential. Attend conferences, read blogs and whitepapers, and follow leaders on social media to ensure you’re always learning new things.

Following these four steps, you can master machine learning and artificial intelligence and embark on a rewarding career. With the right skills, you’ll be in high demand by businesses across all industries that are looking to harness the power of these transformative technologies. So what are you waiting for? Start learning today!

Discover IIT artificial intelligence course with Imarticus Learning

edtech institute

Enroll in the AI and machine learning courses program at the E & ICT Academy to learn more about machine learning.

Course Benefits For Learners:

  • Students work on 25 real-world projects as part of the IIT AI ML course to gain practical business experience and prepare for a rewarding data science career. 
  • Students can grab employers’ attention and showcase their abilities with a certificate recognized by the E & ICT Academy, IIT Guwahati, and a credential supported by Imarticus Learning. 
  • Students who pass this deep learning certification may find lucrative employment in the artificial intelligence and machine learning fields.

Visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad, or get in touch via a chat support system.

Scaling the supply chain management: Giving technology its due.

Posted on by Imarticus Learning

Scaling the supply chain management: Giving technology its due

Supply chain management (SCM) has been one of the most important topics in the business world for years. As businesses have become more globalized, optimizing and streamlining supply chains has become more pressing. However, while SCM is a critical function for any business, it is also an area that needs to be addressed regarding technology investments.

Role of Technology in supply chain management for digital transformation.

Technology plays a vital role in today’s supply chain management as digital transformation becomes an increasing reality for businesses. Automation, data analytics, tracking, and collaboration tools are ways technology changes how supply chains operate.

workplace etiquette

Digital transformation affects every aspect of business today, and the supply chain is no exception. To stay competitive, companies must embrace new technologies that can help them streamline their operations and improve efficiencies. One of the most critical aspects of this is data analytics.

Data analytics allows businesses to track their inventory levels, production rates, shipping times, and more in real time. This information is critical for making decisions about where to allocate resources and how to optimize the supply chain. In addition, data analytics can help businesses predict future demand trends and anticipate potential problems further down the line.

Another key area where technology is having an impact is collaboration tools. To effectively manage a supply chain, businesses need to be able to communicate and collaborate seamlessly. This is often easier said than done, but various software platforms now allow businesses to share information and work together more efficiently.

Technology is also changing the way shipments are tracked throughout the supply chain. GPS tracking devices attached to loads allow businesses to monitor their real-time progress and identify potential delays. This information can then be used to adjust the route or schedule if necessary.

Benefits of using technology for SCM?

Technology has revolutionized the way businesses operate and manage their supply chains. In the past, supply chain management was a manually intensive process that was often error-prone and inefficient. However, with the advent of new technologies, businesses have been able to automate many of the processes involved in managing their supply chains. This has significantly improved the supply chain’s accuracy, efficiency, and visibility.

Implementing technology solutions has dramatically reduced costs, which is very valuable for businesses.

How can Supply chain management course with Analytics help make a career?

A career in supply chain management is demanding and challenging, but it can be gratifying. A successful career in this field requires strong analytical skills and business acumen.

A supply chain management course with analytics can help you develop the skills you need to be successful in this field. The course will teach you how to use data to identify trends and optimize the supply chain. You will also learn how to manage risk and create plans for dealing with disruptions.

After completing the course, you will be well-prepared to enter the workforce or advance your career in supply chain management. With the knowledge and skills you’ve acquired, you’ll be able to impact your organization’s bottom line positively.

Learn and grow with Imarticus Learning

The Professional Certification in Supply Chain Management and Analytics from Imarticus Learning will prepare you for high-demand job roles such as Demand Planner, Data Scientist, or Operations Planning Manager. This IIT Roorkee supply chain management course prepares you to become supply chain analyst and attain skillset by providing the cutting-edge experience necessary due to the shortage of professionals with process & analytics talents in today’s industry landscape.

Course USPs:

Master SCM skills in analytics through with cutting-edge curriculum designed by IIT Roorkee. 

Learn from the best faculties in India through live online sessions and discussions.

The course offers a campus Immersion module at IIT Roorkee. This allows interaction with peers and faculty from the IIT campus.

Learn to solve complex problems demanding a thorough understanding of concepts, mastery over skills & knowledge of the business context.

Participate in building smarter, strategic, and tactical global Supply Chains of the future by combining traditional Supply Chain techniques and overlaying them with data-centric decision-making.

For further details, contact the Live Chat Support system or visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, Gurgaon, and Ahmedabad.

Automatically Summarise Your Emails with Natural Language Processing

Posted on by Imarticus Learning

Automatically Summarise Your Emails with Natural Language Processing

With the rise of Artificial Intelligence and Machine Learning, several new technologies are coming to the fore. Out of these new applications, Natural Language Processing (NLP) is one of the most popular parts of AI and ML technology. It is the new buzzword, and many companies are investing in its implementation.

But what is NLP? It is a process that helps break down human language and meaningfully interpret it. It forms the core of many software applications you use daily. It is making a real difference in summarising emails. But, it has far greater usage, and you can learn all about it here.

Translation software, grammar correction software, chatbots, spam filters, voice assistants and search engines, every software app mentioned here uses NLP to understand the text better. It is also used for several data analyst training apps.  

How does NLP work?

NLP works by following a simple process, which consists of two basic steps. The first step is the training that comprises text vectorisation. In this process, the text or voice is converted into a form that the machine can understand. This is carried out with the help of various NLP tools. After that, ML training algorithms are fed this data to train as per requirement and generate output data or tags. The machines build the statistical models to train their knowledge bank. All text features are extracted and fed into the ML algorithm.

Then this data is fed into the next stage after the training stage. It is called the prediction stage, where the text is then processed in the classifier model. The data from the text is segregated, and then the output is extracted.

What can natural language processing help you in doing?

From all the above apps, you have a clear idea of what NLP can help us do. But NLP is not limited to that only. It can help us to do a lot of other things as well. It combines the power of computer science and linguistics for performing various technology-related actions. If you have been using Cortana, Siri or Alexa, then you might clearly understand what text-based technology can do. After using the voice input, it can convert it into text and then use it for:

  • Transcription
  • Translating one language to another language
  • Training ML models for another task

Other secondary and tertiary tasks can be done with natural language processing. NLP is taught as a part of the analytics and machine learning course. In today’s market, it is in demand and generating employment rapidly. Software developers and data analysts who understand AI and ML can make full use of knowing NLP. You can earn a lot by simply using your NLP skills in the market.

How can you automatically summarise your emails with the help of NLP? 

Email filtering and email summarisation can be easily performed with the help of NLP. The text is extracted, and then a piece of summarising content or snippet is searched. If that is not present, automatic paraphrasing is done, and new sentences are introduced, which can automatically summarise the email. This technique is also helpful and used in data entry of e-commerce websites, and the descriptions are summarised on the main display page of the website.

Another use of natural language processing is a shocking and simple one. It is not worth missing because it is so basic yet advantageous. It is your email inbox. Have you seen the spam folder containing all promotional emails and useless messages? Email services can filter out spam messages by using NLP to filter them out.

Are there any other advantages of NLP?

Yes, due to the advent in the field of Artificial Intelligence and Machine Learning, NLP can be used in the following:

  • Performing large-scale analysis

NLP helps to resolve issues of news reports by analysing fake news. It can also help handle customer tickets by prioritising the important ones over the less important ones. It also helps filter and match social media comments to specific profiles and block out profane ones.

  • Automate the real-time processes

NLP is vital in building automated tools with little or no human supervision or interaction. It can perform these actions all around the clock without stopping at any time. It has been used rampantly in all the fields involving virtual avatars, in the content industry and in movies.

  • Customising voice and text-enabled software

You can tailor AI software by customising natural language processing to suit your needs. These can be used to produce and filter human-like emotions from the given datasets.

With NLP and creativity, you can do anything you want. All you need to do is find how NLP can aid you in simplifying and automating various processes.

To sum up, NLP is helping to streamline different processes and summarising emails is one of the main areas. Now, if you are intrigued by the whole technology and how it is making a difference, you can learn more about it by enrolling in data analytics and machine learning courses offered by Imarticus Learning. You can check out the PG program in ML and AI that covers the fundamentals of the field and prepare you for the professional life ahead. 

Learn the top 5 data science and machine learning hacks.

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Learn the top 5 data science and machine learning hacks

It is clear that the world is moving towards machine learning and data science technology. The demand for machine learning professionals has skyrocketed in the last few years. To stay ahead of the competition and secure your future, it pays to know some of the most valuable machine learning/data science hacks that can help you succeed.

And one of the ideal ways to learn these machine-learning hacks is through machine-learning certification courses. These courses provide a comprehensive overview of machine learning and data science concepts and techniques, giving you the knowledge and skills to use machine learning in multiple scenarios. 

Moreover, the good thing about machine learning certification courses is that they are available online, so you don’t have to leave your home or office to attend them. You just have to enroll in one of these courses and start learning machine-learning hacks with ease.

So, what are some of the machine-learning hacks you can learn through machine-learning certification courses? 

Well, here are the top five machine learning and data science hacks that you should consider learning:

Understand Machine learning frameworks:
It’s true that without a machine learning framework, machine learning will not be able to execute. So, you should have an in-depth understanding of machine learning frameworks. Also, explore machine learning algorithms and work on hands-on machine learning projects to gain an in-depth understanding of machine learning.

Experiment with data:
Data is an essential component in machine learning. So, experiment with different types of data like text data, image data, audio data, etc., to get a better understanding of how machine learning works. And try to use data from different sources to get insights into machine learning. You can also use data visualization tools to explore data.

Creative thinking:
Machine learning is all about creativity. Think out of the box and fill up your mind with creative ideas to solve machine learning problems. These creative ideas can be applied to build machine learning models or improve machine learning accuracy.

Get practical experience:
Machine learning can be learned through theoretical courses, but that doesn’t make you an expert. You need to have practical experience in machine learning and data science projects to become an expert. So, enroll in data science online training programs from reputed organizations.

Knowledge of Statistics:
To understand machine learning and data science, you need to have a good grasp of statistics. You should know the basics of descriptive and inferential statistics for machine learning applications. Furthermore, gain an understanding of machine learning accuracy measures such as precision and recall.

These are the top 5 machine learning and data science hacks that will help you build a successful machine learning career. With these tips in mind, you can become an expert machine-learning engineer and get ready to take on complex machine-learning projects! 

Discover Data Science and machine learning certification courses with Imarticus Learning.

With this IIT Roorkee data science and machine learning course, students can lay the foundations for their data science careers. The curriculum will provide them with an understanding of data science and machine learning principles, along with the ability to apply these concepts practically.

 Course Benefits For Learners:

  • This five-month course, developed by IIT faculty members to help students understand data mining and machine learning methodologies, introduces them to Python.
  • This certification course is taught by subject matter experts and provides students with the opportunity to learn machine learning algorithms.
  • By enrolling in our online program, students can set themselves up for success in data science.

 Visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad, or get in touch with us via chat support.

Imarticus Learning’s supply chain management course. The foundation of your successful supply chain management career.

Posted on by Imarticus Learning

A supply chain is a network of facilities and distribution options that starts with producing goods and ends with the delivery to the final customer. The main aim of supply chain management (SCM) is to reduce inventory costs while maintaining high levels of customer service. To manage a supply chain effectively, you need to have a strong understanding of how each link in the chain works together. You also need to know the latest trends and developments in SCM. The Imarticus Learning supply chain management course is designed to give you a comprehensive overview of SCM, from strategy and planning to execution and control. By the end of the period, you will have all the knowledge and skills you need to build a successful career in SCM.

What is Supply chain management? Scope of growth of the Supply Chain Management industry

Supply chain management (SCM) is the process of planning, executing, and controlling the supply chain’s operations to ensure customer satisfaction and achieve a competitive advantage.

The scope of supply chain management has grown in recent years as businesses have become more global and complex. The industry is expected to grow as companies look for ways to improve their operations and increase their competitiveness.

Who is a Supply Chain Manager? Tasks and Duties of Supply Chain Managers

A supply chain manager is a professional responsible for coordinating and managing the various activities and resources involved in the movement of goods or services from supplier to customer.

The main tasks and duties of a supply chain manager include the following:

– Planning and developing strategies for the efficient and effective movement of goods or services from supplier to customer.

– Coordinating and managing the activities of all the stakeholders involved in the supply chain, such as suppliers, manufacturers, logistics providers, etc.

– ensuring that all processes in the supply chain are running smoothly and efficiently.

– Monitoring performance indicators such as cost, quality, delivery, etc., and taking corrective actions as required.

– Identifying opportunities for improvement in the supply chain and implementing solutions to address them.

How can a supply chain management course with analytics help you establish a career in Supply Chain Management?

corporate leadership

A supply chain management course with analytics can help you establish a career in Supply Chain Management by teaching you how to manage and optimize the supply chain effectively. The course will cover topics such as supply chain planning, execution, and control; transportation management; inventory management; warehousing and distribution; and customer service. In addition, the course will provide you with the skills and knowledge necessary to use analytics to improve decision-making in the supply chain.

Learn and Grow with Imarticus Learning!

The Professional Certification in Supply Chain Management and Analytics is an innovative program designed by CEC, IIT Roorkee, and industry leaders to provide a cutting-edge experience that can help launch your career into operations.

Supply Chain Analytics empowers decision-makers with data-driven insights to make strategic, operational, and tactical decisions. The certification prepares you for high-demand job roles such as Demand Planner or Data Scientist. Your process expertise will be invaluable with another talent with a robust analytics background.

Course USPs:

  • Learn Job-Relevant Skills
  • IIT Roorkee supply chain management course certification
  • Learn from IIT Faculty
  • Get Mentored by Industry Experts
  • Certifications for supply chain professionals
  • Campus immersion at IIT Roorkee
  • Curriculum designed by CEC, IIT Roorkee

With the ever-increasing trend of e-commerce, you need to be prepared for a change. This six-month program will help prepare students with what they’ll face in their future careers as those who work or plan on working within SCM industries such as Amazon and Walmart start implementing this technology more widely across all departments internally too. With this course you have a great scope to prepare and make a career in Supply Chain Management. 

For further details, contact the Live Chat Support system or visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, Gurgaon, and Ahmedabad.

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