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A Python Certification That Will Change Your Perspective On AI

Posted on by Imarticus Learning

A Python Certification That Will Change Your Perspective On AI

With the progression of Python as a machine language, it has become one of the most sought-after in organizations in terms of software development. There are millions of users, who use Python as a programming language, specifically the new-age companies like Netflix, IBM, Amazon, etc. Also, with the emerging demand for Artificial intelligence (AI) as well as Machine learning (ML) in the mainstream industry, Python has become a convenient medium to learn the algorithms related to AI and ML. This is mainly due to its ability to provide in-depth learning for developing strategies around enterprises. 

This upcoming demand for Python in terms of AI and ML has led to the creation of various comprehensive programmes to learn Python online. Today almost everyone in the commercial space is seeking to upgrade their concepts using Python apart from AI like Artificial Neural Network, Natural Language Processing (NLP), K Means Theorem, Naïve Bayes Theorem, etc. This has also led to the development of many AI courses as well as Machine learning certification courses with Python as the core programming language in these courses.

Why Should You Opt for a Python Certification? 

Python, as one of the easiest and beginner-friendly languages, has been around for about 30 years now. Its age in the field might be misconstrued as the reason for it to become potentially obsolete, but it shall be a total misunderstanding to adapt such a notion about it. If anything it can adapt the most complicated codes in the easiest way possible and that probably is the reason why it is still around and here to stay for a long time. 

best data analytics certification course

A Python certification has become almost a necessity and an ideal step towards advancing your career. This is because most of the companies involved in AI and ML today, regard it as the de-facto for ML and AI in the industry. A Python certification reflects well in terms of proficiency in your background. It also shows your strength in programming and software development as Python is arguably the most preferred language when it comes to building top-notch tools and resources in the community.

Also, one of the most essential reasons to choose a Python certification for AI and ML is that it can change your perspective about how complicated these technical skills are. Most artificial learning projects have the base of Python but because Python is one of the less-complicated commitments towards learning AI and ML, hence it proclaims to ease your way as a developer.

What does a Python Certification Offer?

A Python certification can offer a varied range of technical knowledge to its learners. Let us look at some of the important features:

  • It can help you to build applications that have their base on the algorithms of deep learning.
  • You can learn how to deeply enforce AI to build arcade games.
  • You shall be able to build highly supervised models based on machine learning algorithms.
  • Most Python certification offers to learn Artificial Intelligence to build intelligent operators like face-detectors and solve the community problems in the world.
  • It also offers learning techniques of neural networks to fathom the understanding behind object tracking and detection.
  • It also offers a practical approach to implementing realistic projects and deeply enhances your skills by providing an overview of realistic insights on AI and ML.

Apart from these essentials, a Python certification has the potential to offer a lot more descriptive learning which depends on the type of certification that you opt for. There are many python certification courses that you can opt to do online.

Who Should You Do a Python Certification Course?

The following people can take the most advantage of an online Python certification course as per the experts in the field:

  • If you’re a working professional in the field whose intention is to upgrade your careers in analytics, ML, and AI.
  • The professionals who are indulged in the Big Data or data science domain.
  • If you are a professional who is working in Management Information systems (MIS).
  • A Python certification course is also suitable for budding entrepreneurs who want to take a shot in the industry.
  • It is also suitable for you if you are a fresh graduate or even a mid-level manager in your company.

The scope of Python certification has widened with the up-gradation of the language. With time this inexpensive course can give an edge to your career and introduce a whole new world of AI and MI that you may have not witnessed before.

A python certification is important for you to be well-adaptive and relevant to times. In this fast-paced world, especially with data analytics and digitisation coming into the picture, upgrading yourself with the required skills is needed for you to step ahead in the future.

The transformational power of efficient supply chain management

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The transformational power of efficient supply chain management

Supply chain management (SCM) is managing an organization’s supply chain to enable it to fulfill its mission, satisfy its customers and achieve its objectives. This blog post will discuss how efficient supply chain management can help grow your business over time.

The transformational power of efficient supply chain management

Supply chain management has been around since companies were managing their manufacturing operations, and it was often part of the “production department” or “manufacturing division” within a company. 

In today’s competitive environment, however, supply chain management has become much more complex than simply keeping track of raw materials and parts to make products for customers. It now involves managing everything from purchasing goods and services through distribution channels to customer service after the sale.

Logistics must be considered alongside SCM when looking at how best to manage your business’ overall logistics needs; these two elements work hand-in-hand with one another, so they don’t compete against each other but rather complement each other when creating successful outcomes across all areas involved in running an effective operation.

A supply chain manager must be able to forecast what will happen with your product or service over time—and then make decisions based on those forecasts. If you’re not doing this well enough yet, then there’s no way you’ll be able to succeed in today’s competitive market environment!

The difference between logistics and supply chain management

Supply chain management is a broader concept than logistics. The former refers to the entire supply chain, whereas the latter is just one element of that chain. Supply chains are complex, multi-layered systems that require coordination across all stakeholders to function effectively. 

 

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This includes everything from upstream suppliers and manufacturers who provide raw materials or components for products you buy to retailers who sell those products directly. On top of this mixture of entities are third parties like freight forwarders, customs agents, and shippers who handle transportation logistics—the movement of goods between origin and destination.

Supply chain management is a key differentiator in today’s competitive environment.

While many other industries have struggled to keep up with the pace of change, supply chain management has remained an essential element of success for businesses across all sectors.

Supply chain management has become more complex over time as technology and globalization have facilitated the flow of goods worldwide. As such, companies must understand how they can partner with their suppliers to achieve maximum efficiency while reducing costs by minimizing waste and improving customer service through efficient operations at every step along the way.

The SCM process must be coordinated across all departments in an organization so that everyone knows what needs to get done and when. 

Explore a Career in Logistic Management with Imarticus Learning

The best supply chain management certification course will help managers make strategic, operational, and tactical decisions. Prepare to contribute to the development of more tactical and inventive global supply chains in the future by combining traditional supply chain online courses with data-driven decision-making.

 Course Benefits For Learners:

  • Students are exposed to essential technologies, including six real-world projects, to thoroughly understand the industry and prepare them for a successful career.
  • Completing a supply chain management online training allows students to prepare for highly sought-after jobs such as demand planners or data scientists!
  • Python will teach students how to be data-centric and improve supply chain decision-making.

Contact us through chat support, or visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

Artificial intelligence and machine learning are still trending: Will the hype remain?

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Artificial intelligence and machine learning are still trending: Will the hype remain?

Artificial intelligence and machine learning are still trending. It’s not surprising, considering the recent surge in interest in these technologies. In today’s world, business leaders have better tools to make decisions and improve their organizations than ever before. But will this hype remain? That’s what we’re going to find out.

What are artificial intelligence and machine learning? 

Artificial intelligence is a subset of machine learning: it is a field of study concerned with creating machines that can learn without being explicitly programmed (or “trained”).

Machine learning is simply another term for artificial intelligence. It can get understood as any process by which computers get better at solving problems over time—even if they’re not getting any help from humans!

What’s the difference between artificial intelligence and machine learning?

AI is a type of machine learning.

Machine learning (ML) is the ability of computers to learn without being explicitly programmed. It involves using previous experiences, known as “training” data, to improve future performance in similar situations. You can use machine learning for many applications, including computer vision, speech recognition, and natural language processing. 

Corporate leadership

You can also use AI to automate tasks such as scheduling appointments or routing deliveries through an online shopping cart on a website that requires human input but does not have enough staff available at the moment when you want your order fulfilled by someone else.

Therefore this would mean less time spent managing inventory while being able to focus more on marketing campaigns instead!

Benefits of AI and machine learning for your business

  • Increase productivity. AI and machine learning are capable of improving the efficiency of your business. They can help you make more money, save time and reduce costs.
  • Increase revenues. This is because they’re able to identify patterns in customer behavior that can predict what customers want next or how they behave when interacting with products or services provided by your company, thus enabling you to give them what they need at just the right time without having any issues with inventory management or logistics costs associated with providing goods/services over more extended periods.

Additionally, since most people prefer convenience over quality when shopping online – this means there’s an opportunity for businesses who use these technologies effectively!

Artificial Intelligence and Machine Learning are still trending.

You can still use AI and ML in many industries at every business level. They’re being used to power some of the most exciting innovations in recent history. And they’ll continue to be used that way for years to come! 

Artificial intelligence and machine learning are still trending. In the future, these technologies will become even more advanced and help you build a better business.

Learn Machine Learning and Artificial Intelligence Course with Imarticus Learning.

Learn how to become an AI engineer by enrolling in the E & ICT Academy’s deep learning Artificial Intelligence certificate program. Students will benefit from this IIT AI ML Course as they prepare for careers as data analysts, data scientists, machine learning engineers, and AI engineers.

Course Benefits For Learners:

  • Learners work on 25 real-world projects to gain practical industrial experience and prepare for a rewarding career in data science.
  • With a certificate authorized by the IIT Guwahati, E & ICT Academy, and an Imarticus Learning-endorsed credential, students can impress employers and demonstrate their abilities.
  • Students who complete this artificial intelligence training can land lucrative jobs in the field of machine learning and artificial intelligence.

 Contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

7 Data analytics tools that will make your life easier

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7 Data analytics tools that will make your life easier

The world economy and its database are growing exponentially and at times it becomes very difficult to keep a record of all the data. To analyse all the data is even way more difficult. This is where the use of Data analytics tools comes in. Data Analytics Tools are those software and programs that help the firms in the proper and systematic collection of data. It then arranges the data and the firm uses the data according to the requirement. With proper data management, the firm can also make decisions more effectively. This will in turn lead to an increase in profit margin. 

Why is it essential to learn Data Analytics Tools?

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There are many reasons to be enrolled in a data analyst certification course.  Among many, a few of those are stated below –

  • It helps to arrange the data in a more organised manner. 
  • It helps the firm to operate more effectively.
  • The tools help in analysing the market in a better fashion. 

 

Different kinds of Data Analytics Tools

There are various kinds of Data analytics tools but the frequently used ones are stated below – 

Excel –

Excel is the most used data analytics tool in any organisation. It arranges the data in a tabular format which helps the comparative analysis easier. Line graphs, histograms, pie charts, and other various graphs can also be used for diagrammatic representation. It is the easiest data analytics tool out of all and is used by almost everyone. 

R –

R is a data analytics tool that is widely used by Statisticians. To use R, one has to have an ample amount of knowledge about coding. R has various built-in packages which help in performing statistical analysis. In R, the graphical libraries that are available are Ggplot2, ggvis, plotly, and a few more. It helps in creating a better data visualisation. R is an open-source programming language hence it does not provide any customer service. Although it has online community support where your problems can be addressed. Ford, Facebook, and Paytm are some of the companies that use R programming.

Statistical Analysis System (SAS) –

SAS is commercial software that is used to analyse and report data. The use of SAS is easy and thus can be used by beginners.SAS is one of the oldest data analytics tools. Data visualisation and advanced analytics cannot be done in SAS. SAS is very flexible and it also supports data encryption algorithms. SAS provides all-time customer service because it is a costly software. Besides, it also provides online community support to solve the problems. SAS is used in predictive analytics, advanced analytics, and data management. Netflix, Prime Video, Dell, HP, YouTube, Twitter, and Cognizant are some companies that use SAS programming.

Python –

Python is a high-level programming language. It is used in web development, big data analytics, data science, game development, and many more. Some of the Panda libraries are Pandas, Scikit-learn, PyBrain, Keras, MILK, NuPIC, Ramp, Theano, and many more. Python is an open-source programming language and hence it provides no customer service. Although, it provides online community support to solve the problems raised. Flipkart, Amazon, Google, YouTube, Twitter, and Facebook are some of the companies that use python programming. 

Conclusion

It is thus very obvious that being an expert in working with data analytics tools is very necessary in today’s world. The data analytics and machine learning course from Imarticus can be helpful for you to achieve your desired goal and learn data analytics.

The course highlights are an assured placement program, leading-edge curriculum, industry-specific case studies, and guaranteed interview opportunities. This course will guide you on how to become a data analyst and will fully prepare you for the corporate world out there.

Data Analytics can be easy to learn, here’s how.

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Data Analytics can be easy to learn, here’s how.

In today’s world where we’re surrounded by data everywhere, the demand for data analytics is limitless. Every industry and sector in the world is utilising data analytics to grow its business. Data Analytics is the process of drawing meaningful conclusions from huge piles of data that can help companies to strategise their business. Learning data analytics will open the doors of opportunity to become a data analyst or data scientist. Knowledge of databases, SQL, SAS, BL tools, Data wrangling, and mining is necessary to learn data analytics for making a career as a data analyst. 

Steps To Learn Data Analytics 

Knowledge of statistics and maths

To learn data analytics one has to be well acquainted with the concepts of maths and statistics as the algorithms and models associated with data analytics are based on statistical problem-solving approaches.

Knowledge of Python and R

Python and R are programming languages used to convert mathematical knowledge into scalable computer programs. Python is used for wrangling big volumes of data and R is used for building statistical models.

Learning about Database 

Knowledge of database technologies like SQL is very important for storing, modifying records, and creating tables and views of the data you’re working with.

Data Analysis Methods

Cluster analysis, time series analysis, cohort analysis, and regression are some of the data analytics techniques that are used for analysing datasets.

Data Analytics Courses 

There are many learning institutes in India that provide Data Analytics Online Training courses that aim at providing a high-quality learning experience. These institutes are in conjunction with various premier universities from various corners of the world to formulate a curriculum that can help in preparing and developing a tech-driven society. 

Imarticus is an institute that focuses on providing tech learning to both individuals and as a corporate through its data analytics online training.  They offer programmes like  PGA Imarticus (post-graduate programmes in Data Analytics and Machine Learning), and some of the best data analytics certification courses like IIT Roorkee Professional Certification in Data Science and Machine Learning, Certification in Artificial Intelligence and Machine Learning, and Professional Certification in Supply Chain Management and Analytics.

Benefits of Learning Data Analytics as an Individual 

Identify Career Prospects 

The data analytics institute helps the learners in identifying a suitable career choice that has a high probability of scope of success in the near future. They help in designing a career plan which involves exploration of your skills and interests and enables you to make better decisions for your career. 

Improved Employability 

The data analytics curriculum makes you a desirable candidate and increases your chances of getting a job. It sharpens your soft skills along with your knowledge of data and provides experienced and trusted career advice that can guide you in the process of job seeking. They have a great percentage of placement records and will also assist you in making an impressive cv.

Best Training and Skill Development 

Learning data analytics courses makes you well acquainted with various data science tools and develops your understanding in the areas of machine learning, data mining, and prediction throughout the curriculum. The institutes assign mentors who ensure fast and effective learning and skill development which will help build your career. 

Customized Career Plans

Many data analytics training institutes help in suggesting personalized career plans that will help you in your professional growth. They enable the scope for exploration of one’s own strong and weak points, measurement of their progress, and reevaluation of growth to structure a plan that will take them to their goals.

Industry Recognised Certifications 

These institutes also offer the best data analytics certification course recognised by industries. On completing these courses, they provide an industry-recognized certificate that adds value to your portfolio and increases your chances of getting desirable job offers.

Conclusion

Data analytics is a very essential element in every sector and it is important to choose a good institute to learn data analytics as they offer a high-quality learning experience and assistance from an accomplished faculty and experienced management team. 

The Basic Components of a Supply Chain Management

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The Basic Components of a Supply Chain Management

As companies grow, they are in need of an efficient supply chain, which may be provided by IT. The question is: Why is it necessary?

What elements make up the supply chain management system?

We cannot discuss these components without first discussing supply chain management.

Did you know that the market for supply chain management is worth $37.41 billion? From 2020 to 2027, the Compound Annual Growth Rate (CAGR) is anticipated to be 11.2 per cent.

What is Supply Chain Management?

Supply Chain Management, also known as SCM, is the process of streamlining each step of a supply chain, from acquiring raw materials to turning them into finished goods or services. It entails optimising processes and boosting productivity to boost customer satisfaction and put your company ahead of the competition. Most significantly, SCM assists you in identifying tactics that will enable you to do so efficiently and affordably.

What is the main purpose of supply chain management?

Simplifying the supply chain from the manufacturer or producer to the end-user or consumer is the main goal of supply chain management. A variety of management strategies, including demand management, supply planning, inventory modelling and maintenance, and others, help synchronize the supply network.

Additionally, it enhances logistics management, which aids in completing the supply chain process from production through warehousing and sale to retailers, wholesalers, and the final customer.

A well-thought-out supply chain strategy that keeps the essential components at the forefront will provide you with a number of advantages, including the support of your business strategy, enhanced customer relationships and satisfaction, and improvements in efficiency, performance, response, and quality.

Managing the entire supply chain is a difficult endeavour, but it can be divided into four key areas, which we will now explore.

  • INTEGRATION

Integration is crucial across your communications, information sharing, data analysis, and storage processes and begins at the strategic planning stage.

Reduce human error, delays, shortages, and over/under-stocking with a single-view, precise, and dependable source of information on your supply chain activities and details that also enables you to prepare for and mitigate supply difficulties or interruptions.

Consider your technological requirements and ensure the solution you choose will provide you with the tools you need to integrate a complete supply chain solution while being adaptable enough to develop and expand with your organisation.

  • OPERATIONS

To track output and predict production and distribution patterns, your operations need an accurate, real-time depiction of your inventory and production schedules.

With the proper software, you can integrate your operations with the rest of your company and give accurate, dependable data on production and stock levels for faster fulfilment.

Enhance your profitability by anticipating potential setbacks and obstacles to lessen the impact they will have on your company. It would be best if you also optimised your operational procedures to create a faster, less expensive route to fulfilment.

  • PURCHASING

The correct supply chain software does a lot when it comes to acquiring products for your supply chain and ensuring that you are benefiting from the most affordable prices and the most dependable products.

Demand forecasting is a reliable and useful way to ensure you have the correct product, in the right quantity, at the right time.

To cut costs throughout the sourcing and purchasing process, keep an eye on suppliers, rival producers, and demand cycles.

  • DISTRIBUTION

A part of your supply chain that can constantly be streamlined, improved, and corrected for better customer service and lower operational costs is transporting, delivering, and returning goods.

In order to have a real-time view of inventory, order status, and stock location, regardless of whether an order originated in-store or online, your delivery and returns procedure should be centralized. 

Having an understanding of these supply chain management elements enables you to create efficient management strategies for your operations.

If you want to know more about our supply chain course, you can visit our webpage, contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. 

I hired a supply chain analyst for my company and it was the best decision

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I hired a supply chain analyst for my company and it was the best decision

The work of a Supply Chain Analyst involves analyzing the data and predicting how the delivery of products and services can be improved. It enables a smooth flow of products and services to the customers, thus playing an essential role in the company. The Supply Chain Analyst carries out all activities involved in the product’s life cycle, including the procurement of raw materials, product distribution, and ensuring the correct consumer receives the product at the right time. The use of cloud computing and other blockchain technology is the primary responsibility of supply chain analysts in this situation.

Reduce costs and improve profits

The Supply Chain Analysts have access to the company’s comprehensive data, which is used in integrated planning. This enables them to increase operational efficiency and achieve insights. Here, a career in Supply Chain Management helps the professional in reducing unnecessary costs, thereby improving the whole process. The professional also conducts a meeting with Company executives to suggest regard to the SCM process. 

 Communication and Negotiation skills

It is found that after undergoing a career in Supply Chain Management, professionals can communicate effectively. They frequently oversee the tasks and contact individuals from other departments. The supply chain analyst is also familiar with negotiation techniques and manages them to guarantee flawless shipping. It aids the company in cutting back on additional transportation expenses.

 Efficiency and effectiveness in planning

Here, the supply chain analyst understands the customer’s demand thoroughly and then predicts the future market for the products. It helps the organization identify the particular product segment they need to focus on. Additionally, the supply chain analyst minimizes logistical errors that frequently happen. Although complicated, the procedure entails analyzing a lot of data and planning the production on time. The supply chain analyst also ensures that the product is shipped with the shortest possible lead time. It includes examining the weather before beginning a transport and keeping up the warehouse system. Additionally, they frequently employ database management systems and other analytical tools to find information and do the best possible analyses. 

Equipped with software/ technology 

Applications like Excel, Access, and PowerPoint can all be used by supply chain analysts. They are also competent in using SAP, Supply Chain Guru, and other supply chain-related applications. They satisfy the needs of supply chain management and supply chain analysts. 

Data Analyzation

The Supply Chain Analyst reduces the workload on the organization by converting complex data into simple solutions. The Supply Chain Analyst breaks down the data, in this case, using a unique method. Since massive data is present, supply chain analyst uses multiple software to break down the data and allocate it to the logistics team.

 Problem Solving Skills 

It is essential to identify the issues surrounding supply chain management. Hence supply chain analyst ensures the problems are identified and solved. Plans are made for the future to address the problem and prevent it from becoming worse. The supply Chain Analyst also ensures that the issues are forecasted and solutions are ready in departments. Just-in-time solutions are also innovated to manage emergencies. 

 Latest knowledge in Economics and Market Dynamics

 The field of Supply Chain Management requires updating with the latest information. The supply chain analyst always examines the quick changes in consumer demand. They segregate the market and target it with the best tools available. Instead of focusing on records, the supply chain analyst ensures that future demand is forecasted and trends are monitored. They provide that the market dynamics are studied to identify the customers’ specific needs. It is done to ensure that proper communication is maintained and feedback is also addressed about logistics. The essential advantage of having a supply chain analyst in a firm is their ability to collaborate seamlessly across all departments and effectively manage logistics. 

 The IIT Supply Chain Course enables the professional to build the skills required in a Supply Chain Analyst job. To become a Supply Chain Analyst, you must learn specific skills and enroll in the course. For more details on the IIT Supply Chain Course, you are welcome to browse our training facilities in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, and Ahmedabad. You can also get in touch with us through the live chat service, which is open around the clock. Our website also offers a download for our brochure. Click on the link below, and it will take you to our blog.

From Around The Web: Learn Artificial Intelligence from These Case Studies

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From Around The Web: Learn Artificial Intelligence from These Case Studies

Programming in Artificial Intelligence (AI) is not restricted to any one method or language. A wide range of programming languages, including Python, Java, and R, are used to code AI algorithms. Usually, the Python programming language is preferred due to its easy and understandable syntax.

When you program for AI, you understand that it is slightly different from the traditional programming approach. AI mainly focuses on three skills: learning, reasoning, and self-correction.

Learning involves gathering data and creating algorithms based on the data. These algorithms then instruct the devices about the processing of a task.

data science career

The reasoning is concerned with selecting the best approach to solve a problem. It involves selecting the best algorithm that will suit the niche of the problem.

Self-correction is a design that will ensure that the selected algorithms will provide the best and most accurate results at all times.

As far as the term artificial intelligence is concerned, the most important aspect of learning AI is understanding its applications in real-world scenarios. The best way to do so will be through case studies and recognized courses. Thinking where can I learn Artificial Intelligence? Worry no more, at Imarticus Learning, we offer an Artificial Intelligence course, which also equips you with the concepts of Machine Learning. The course is taught by the leading industry experts to give you the best training and project guidance!

List of Some of the Most Interesting AI Case Studies 

Understanding AI through case studies will help you get a better grasp of its basics, while also being able to understand its business world applications. Here are some case studies that you must check out:

Vanguard Marketing

Although Vanguard is a leading investment company, its domain makes it difficult to market the products, as all the competitors use the same old traditional content and strategies to promote their products. This was when Vanguard turned to AI and started using Persado, an AI platform concerned with language queries. As soon as Vanguard turned to AI, the company saw a 15% hike in its conversion rates! You should check out this interesting case study!

Sony Neural Network Libraries

The multinational conglomerate Sony recently developed an open-source platform called Neural Network Libraries to enable programmers and data science engineers to develop deep learning programs. Neural network-based deep learning algorithms and processes have taken over technology in the past few days. There is so much improvement in the recognition domain that it has even outcasted humans in some applications. This intriguing case study will help you understand the process of deep learning in detail.

MSD’s Chatbot for Healthcare Professionals

Healthcare professionals must stay updated with emerging diseases and treatments. They might need to access content quickly, and this chatbot makes sure it is done without any hassle. Facebook has collaborated with the pharmaceutical company MSD to program this chatbot, and hence its framework resembles that of the Facebook Messenger application. It is one of the most compelling case studies. You will be able to comprehend the complexity of responsive AI and how it works.

Philips’ AI in Diagnosis

The emergence of AI in the medical field is likely to be a boon to society. Processes as simple as prescribing medicines to the complex processes of diagnosing a disease can be done through AI. Due to these advancements, detecting diseases like cancer and predicting their treatments will become an easy job. The innovation-driven health technology company Philips is working on building deep learning programs, along with PathAI, to bring about these changes in the healthcare industry.

Siemens AI for Machine Systems

Detecting discrepancies in machines through datasets and algorithms is the idea behind the automation company Siemens’ Machine System AI. They are also running a project to predict the maintenance and schedule repairs for the train systems. Controlling and monitoring the devices with AI will be critical in predicting future mishaps in the machinery and bringing about solutions for them in advance. Also, an interesting case study to look out for while studying AI.

Takeaway

Learning through application-based artificial intelligence will help you hone your skills in the field. Understanding various case studies for the same is very important and beneficial. Theoretical knowledge will only help you ace your tests, but when it comes to implementing the knowledge in real-world scenarios, you must have proper industry-relevant knowledge.

Want to understand these case studies thoroughly? Well, for that, understanding AI and its branches are vital. Wondering how that can be done? Worry not, because we are here to help you learn Artificial Intelligence with experts! Contact us through chat support or visit our nearest training centers in Delhi, Gurgaon, Thane, Pune, Mumbai, Bengaluru, or Chennai.

A quick and easy guide to Tableau

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A quick and easy guide to Tableau

Tableau is a famous data visualization software that helps people see and understand data. If you’re looking for an easy way to get started with Tableau, this guide will walk you through how it works to what types of visualizations are available in this tool.

What is Tableau?

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It is a data visualization tool that makes it easy to view and analyze your data. It helps them visualize their findings so they can see patterns quickly and easily—and then act on those trends before they become problems for the company.

Why should you learn Tableau?

A tableau is a powerful tool that both individuals and organizations can use. It’s easy to learn and use, but its true power lies in the data visualization it allows you to create. 

A tableau is a powerful tool that’s easy to learn, use and collaborate with. You can use it in many ways:

  • To make visualizations (charts, graphs)
  • To create dashboards and reports
  • To work with others on data analysis projects

Types of visualizations in Tableau

There are many types of visualizations that you can create in Tableau. Here’s a quick overview:

  • Bar charts. Bar charts show the distribution of values in your dataset (e.g., sales by month). You can use bar charts to compare deals over time or across groups, such as how many people purchased products this year vs. last year or what percent each type of product accounted for at different times during the day (or week).
  • Line charts. Line graphs show trend lines on a chart based on some measures and other data points like age and gender. However, we still want some idea about whether any change is happening over time because otherwise, it would make no sense why one person might be doing better than another even though both have been using the app since the launch date!

Tableau course helps people analyze their data by allowing them to visualize their information visually in a way that makes sense. For example, they might want to see how many products were purchased by customers at different times or the average price for each product sold during the month of last year. Tableau allows you to accomplish these things quickly to make informed decisions based on what your data tells you about your business or project.

Discover a career in data science with Imarticus Learning

Become a data analyst with this data science course that guarantees job assurance. Learn data science practically and create complex models that generate critical business forecasts and insights.

Course Benefits for Students:

  • Students will be familiar with data analytics, machine learning basics, and the most extensively used data science tools and methodologies.
  • To get a data analytics certification course, students must complete 25 real-world projects and case studies led by business partners.
  • The ability to display data using a data analytics tool is one of the most sought-after skills in the industry today. As a result, new graduates and those just beginning their jobs may want to consider enrolling.

Contact us through chat support, or drive to one of our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

I tried to learn machine learning and failed. Then I mastered it

Posted on by Imarticus Learning

I tried to learn machine learning and failed. Then I mastered it

Machine learning often fails if the course goals are not met while preparing the project. While preparing for machine learning, the ultimate motive is to create a solution for the problem and then ensure that the data connects to the solution. Machine learning frequently fails if the course objectives are not satisfied when working on the project. Solving the problem and ensuring that the data ties to the answer are the ultimate goal while preparing for machine learning. It becomes challenging to succeed in this case if a proper aim is not established and data analysis is performed with insufficient detail. You must realize that machine learning is an iterative process and that having the right metrics for success is crucial.

 Understand the purpose

The objective of machine learning is the most critical factor that must be considered before starting. The fundamental goal of developing a machine learning procedure is understanding the client’s issue. It is challenging to succeed in project management if the true aim is unknown. The critical analysis of the data helps in finding out a feasible solution. Here, it would help if you did not forget to identify the end outcome and compare the data to achieve the goal.

Data

The next major thing to consider is the data. Overload of data and lack of data create confusion. The data needs to be collected to solve the problem. To address the issue, the data must be managed appropriately.  You can create quality requirements to ensure that accurate and appropriate data is collected.

The project fails in the absence of rigorous analysis and quality criteria. Low predictions can also be a result of poorly formatted data. You can work with the clients to identify the precise data they want in the project to resolve the problem. This will enable you to understand the whole process and incorporate data quality standards. Thus, Machine learning would remove the issues in project management.

Generalization

Overfitting is a problem that arises when training data fits too well and ignores unobserved data. It will fail if you train a machine learning model using a tight dataset and it encounters a data point. Most machine learning students frequently make the peculiar error of selecting data that doesn’t correspond to the actual production data.

 On the other side, if the model cannot identify a meaningful pattern in data, it causes the project’s failure. The appropriate data must be examined and incorporated into the model in such circumstances. You must have a comprehensive understanding of the data and be able to pinpoint the client’s precise needs. If the dataset is simple, you can also use the complex non-parametric method of collecting the data.

To increase your project’s success rate, you can also use the validation method. You can use the cross-validation method at the end of the training cycle to test the dataset and complete the model.

 Updating the system

Sometimes, even if it isn’t your mistake, the software you use can cause hindrances in the machine learning process. With up gradation in the software, machine learning projects are developing. The most challenging situation arises when the business situation changes, a drastic shift in customer demand, and the updated models in the market. Updating the existing Machine Learning model is challenging and requires a lot of time. Hence, you need to update the model and try to use new features every time the project is released.

 Forecasting the outcome

People frequently fail to achieve optimal results after applying qualitative data. It necessitates in-depth project expertise. Many people don’t know how to use the data once the data has been finished and the analysis has been done. The project will eventually fail if you lack the proper planning to utilize the data.

After gathering the data, you must determine the client’s needs and present the strategy to them. This would help the student in developing methods to deliver the results accurately. You can also explore the chain management style if the client requires any other changes in the project.

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