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Tag: machine learning certification course

Explain A Comprehensive Guide to Choosing and Pursuing a Machine Learning Certification

Posted on by Imarticus Learning

Hey there, fellow tech enthusiasts and data aficionados!

 Are you prepared to explore the intriguing realm of machine learning? We welcome you to our thorough guide on picking and obtaining a machine learning certification.

best big data analytics course

Imagine yourself at the cutting edge of innovation, equipped with the knowledge and abilities to decipher intricate patterns, make precise forecasts, and reveal the mysteries buried inside huge datasets. 

With machine learning, you can transform whole sectors, alter decisions, and lay the path for a time when clever algorithms rule the world. This blog post will give you an extensive roadmap to select and pursue a machine learning certification.

What is a Machine Learning Certification?

A certification in machine learning serves as proof of your knowledge of the subject. It is given to people who have finished a course or program that covers both machine learning’s basic principles and more complex ideas.

Universities, online learning platforms, professional associations, and other organizations provide machine learning certifications. The length, price, and content of the certification program might change.

Machine learning patents increased at a 34 percent (CAGR) Compound Annual Growth Rate between 2013 and 2017, according to Forbes, making them the third-fastest growing category of all patents granted.

Unveiling the Diversity of Machine Learning

The ability of a computer to automatically learn from data, enhance performance based on prior experiences and make predictions is known as machine learning. A collection of algorithms used in machine learning operate on vast amounts of data. These algorithms are fed data to train them, and after training, they develop a model and carry out a certain task.

Types Of Machine Learning

Machine learning is primarily split into four kinds based on the techniques and modes of learning, which are:

  • Supervised Machine Learning
  • Unsupervised Machine Learning
  • Reinforcement learning 
  • Semi-supervised machine learning

Benefits of a Machine Learning Certification

There are several advantages to becoming certified in machine learning, including:

A machine learning course will help you stand out from applicants and improve your chances of being recruited by prestigious firms, expanding your work prospects.

  • Higher pay: Machine learning specialists with certifications are in great demand and may expect to make more money than those without certifications.
  • Expertise: A machine learning certification demonstrates your expertise in this field and shows you have the skills and knowledge required to work on machine learning projects.
  • Saves time: Depending on your objectives, a machine learning certification program might take one to six months to complete. On the other hand, earning a degree from a university may take up to four years or longer. You will need to spend extra time on top of that if you want to pursue a professional degree to improve your education.
  • Networking: The networking possibilities offered by certification programs might result in future employment prospects and business partnerships.

A step-by-step guide to choosing and pursuing a machine learning certification

  • Identify your educational goals and professional aspirations. 

  • What do you want to accomplish with a certification in machine learning? 
  • Do you wish to work as a data scientist, researcher, consultant, or machine learning engineer? 
  • Would you like to work in the healthcare, financial, or educational sectors?

  • Examine and contrast the possibilities that are accessible. 

Several machine learning certificates are available, provided by numerous platforms and organizations. While some are broad in scope, others are vendor, tool, framework, or tool specific. 

While some of them are free, some are not. You need to conduct your research and learn what each certification entails, what requirements must be met, how long the exam will last, how much it will cost, how long the certificate will be valid, and what the advantages and recognition of the certification are.

  • Select the certification based on your requirements and interests. 

You should reduce your choices based on your research and choose the one most closely matches your learning goals and professional aspirations. Your time and financial constraints should also be considered, along with your present knowledge and expertise. You must pick a certification that pushes you, inspires you, and boosts your self-assurance.

  • Prepare for the exam with a study plan and practice tests.

 After selecting your certification, you must prepare for the exam. Make a study schedule that specifies the subjects you must examine, the sources you must consult, and the time you must allot for each segment. Regularly taking practice exams can help you gauge your development and determine your strengths and shortcomings.

  • Take the exam and celebrate your achievement.  

On the exam day, you should feel confident and at ease. You should be cautious to follow the directions and use your time properly. Before submitting your answers, you should double-check them. You should receive your score report and certificate soon after finishing the exam. Celebrate your success and let your network know about it. Additionally, you should add your new certificate to your portfolio and resume.

The Final Words

Getting started on acquiring a machine learning certification can revolutionize your career. After reading this comprehensive guide, You have the information and resources to select the certification program that best suits your needs and skill level.

 It’s important to remember that the machine learning field is always changing. Therefore learning new things regularly is essential. By pursuing a machine learning certification, you invest in your future and open doors to interesting prospects in this quickly expanding sector.

Utilizing the power of data becomes crucial in a world where businesses battle it out for supremacy. The secret weapon may open a competitive advantage, drive wise choices, and open the door to development and success. With the knowledge gained from Imarticus Learning’s data science and analytics course, you become a catalyst for change, empowering businesses to flourish and thrive in an era of data-driven success.

The Future of Programmatic Marketing: Machine Learning Certification Course in 2023

Posted on by Imarticus Learning

The world has observed rapid growth in Programmatic Marketing. Companies are expanding huge sums of money on programmatic advertisements. It was estimated that companies will spend around $542.31 billion in this industry. This number will continue to grow in the future. 

Machine learning plays a huge role in the industry of programmatic marketing. If you are willing to commence a career in programmatic marketing, then you will require an online machine learning certification course. In this article, we will discuss the future of programmatic marketing and the role of machine learning in it. 

What is Machine Learning?

One of the most important subfields of Artificial Intelligence (AI) is Machine Learning (ML). Machine learning allows a machine to remember and learn without any complicated programming language. The learning procedure is only possible by identifying patterns and analysing data. Industries around the globe can enhance their business and marketing by simply using machine learning. This technology furthermore strives to comprehend the customers and their behaviours. 

What is Programmatic Marketing?

Programmatic Marketing is the distribution of advertisement that does not involve any human being. In other words, this means selling and buying products with the help of advanced software in the digital space. To target customers, programmatic marketing extracts data like age, location as well as interest. This helps the companies to easily target their customers and yield more percentages. 

How is Machine Learning Used in the Field of Programmatic Marketing?

 

As we already know the definitions of machine learning and programmatic marketing, let’s learn how these two aspects are interdependent. Machine learning is mainly used in programmatic marketing to extract and analyse data from myriad sources. It also sorts customer data patterns and assists companies to understand their customers. This helps these companies to enhance themselves as well as their services and campaigns. For example, a retailer may use the insights to check the items the customers purchased during a particular season so that they can yield more revenue in the next year.

Machine learning can even target customers from various sources like social media and online traffic to advertise a particular product of a particular company. Like this, it can enhance the performance of the advertisements as well as the reach of the products. If a company is willing to increase its reach and campaign performance, then opting for machine learning will be the wisest decision.

What Does the Future of Programmatic Marketing Store for Us?

The future of programmatic marketing is very bright and will keep on growing. Companies are already investing huge sums of money in this arena and this investment will increase in the future. As the world is getting dependent on programmatic marketing, many modifications will take place in future. Here we have discussed a few of those modifications. 

Supply Path Optimisation (SPO)

Supply Path Optimisation is a very new term and is being used very recently. However, according to the predictions, the usage of SPO will only increase in the future. The main purpose of SPO is to make the supply chain easier between publishers and advertisers.

Demand Path Optimisation (DPO)

Demand Path Optimisation is the inverse of Supply Path Optimisation. Its emphasis is on the buying factors rather than the selling factors.  When DPO is incorporated with SPO they create better transparent terms with the potential buyers.  DPO can boost revenues and reduce unnecessary risks from ad vendors.

Programmatic Audio

Programmatic Audio is something very similar to display advertising. However, here advertisements are played in the form of audio. This method can be used on the radio, podcasts and music streaming applications. 

A World Without Any Cookies 

Industries are planning to eradicate all the cookies used by third parties. By the end of 2023 companies are willing to terminate the two decades old practice. Subsequently, brands and marketers will use solutions that are user-oriented and will focus on privacy as well. 

Conclusion 

If you want to commence a career in programmatic marketing then you must enrol yourself in a certificate program in data science and machine learning. This online course will help you to earn the requisite skills and knowledge about programmatic advertisements. Besides, this program will also open many opportunities for those who want to commence a data scientist career. So without any further delay enrol yourself on the certified program by Imarticus Learning.

The two paths from Natural Language Processing to Deep Learning

Posted on by Imarticus Learning

The two paths from Natural Language Processing to Deep Learning

Natural Language Processing is a branch of linguistics, computer science, and artificial intelligence that deals with the interaction between computers and human language, in particular how to design computers to handle and evaluate huge volumes of natural language data. We want a computer that can “understand” the text in documents, including its context and subtleties.

As a result, the papers’ data and insights may be correctly extracted by the technology, which can also classify and arrange the documents themselves.

Massive amounts of unprocessed, text-heavy data need a system like this, which is widely used in machine learning. Professionals with expertise in designing models that analyze voice and language, find contextual correlations, and generate insights from this unprocessed data will be in high demand as AI continues to grow. Natural Language Processing and Deep Learning with Python are one of the most common phrases used in the domain of Artificial Intelligence nowadays.  

In machine learning and artificial intelligence, a technique known as “deep learning” mimics human learning processes. Data science, which encompasses the statistical analysis and forecasting models, relies heavily on deep learning techniques to do its work. For data scientists, deep learning is a godsend since it speeds up the process of processing and understanding massive volumes of data. 

It is possible to think of deep learning as the automation of predictive analytics. Deep learning algorithms are piled in a hierarchical structure of increasing complexity and abstraction, while typical machine learning algorithms are linear.

Neural Networks and Deep Learning

A Neural Network, also known as an Artificial Neural Network, is made up of layers. Imagine the neurons in a human brain; they are the computing units, and they form a single layer when layered. stacking neurons together creates several layers. It is termed the input layer because it contains the data that we are working with. We run our algorithms and get an output, which is then utilized to do our computations for the following layer, the output layer.

At each successive layer, all of one layer’s neurons are linked to those at each successive layer, which are then linked to the next layer, and so on, until we reach our output layer, where we achieve our desired outcome for the specific data we were working with. Those layers that are between the input and output layers are referred to as Hidden Layers. A Neural Network is the result of this process.

A deep neural network is an artificial neural network with two or more hidden layers, and a model built on a deep neural network is referred to as Deep Learning. 

What are the main components of Natural Language Processing?

NLP consists of a number of components, a few of them are mentioned below:

  • Analysis of morphological and lexical patterns.
  • Syntactic Analysis: Study of logical meaning from a given part of the information, be it text or audio.
  • Semantic Analysis: Used to analyze the meaning of words.

Machine Learning at work: The future of the workplace in 2022

Posted on by Imarticus Learning

Automated algorithms that learn from experience and data are known as machine learning (ML) algorithms. In order to generate predictions or judgments without being exclusively coded or overseen by humans, machine learning algorithms generate a model based on training data. The discipline of machine learning gains new techniques, theories, and application fields from mathematical optimization research. 

When it comes to machine learning, input such as training data or knowledge graphs is used in the same way that the human brain develops information and comprehension. Defining entities allows for deep learning. The Edutech industry nowadays is filled with Machine Learning and Artificial Intelligence courses.

There are several ways to start the machine learning process, such as through looking at examples, direct experience, or even teaching. Data is examined for patterns that may be used to draw conclusions from the instances given. With machine learning, computers can learn on their own, with no help from humans, and then modify their behavior as a result. 

Types of Machine Learning Algorithms

Machine Learning algorithms can be mainly distributed into three categories, they are:

  • Supervised Learning: Supervised machine learning systems use labeled samples to predict future occurrences based on what has been learned in the past. The learning technique uses a known training dataset to build an inferred function that predicts output values based on that dataset. After sufficient training, the system is capable of providing objectives for any new input. It is also capable of comparing the model’s output with the planned, proper output in order to identify problems and make modifications as necessary.

  • Unsupervised Learning: To train an unsupervised machine learning algorithm, you don’t need to classify or label the data. It is possible for systems to infer a function from unlabeled data in order to explain a hidden structure. Throughout the whole process, the machine does not know the right answer. Instead, it uses datasets to make predictions about the result.

  • Reinforcement Learning: A Reinforcement learning algorithm is a way of teaching a computer to do something by causing it to do an activity and then looking for faults or rewards. “Trial and error” and “feedback” are two of the most important aspects of this kind of learning. 

Workplaces Where Machine Learning is Being Extensively Used

Businesses across many industries are already using machine learning to boost innovation and improve operational efficiency

  • Cyber-security firms
  • Finance sectors such as banks and FinTech enterprises
  • Healthcare industry
  • Detection of fraud
  • Retail businesses

Why this Course?

Acquire a firm grasp of the fundamentals of data analytics and machine learning, and learn how to master the most used data science tools and methodologies, to position yourself for employment. Post Graduate Program in Data Analytics & Machine learning by Imarticus comes with a guaranteed placement opportunity. 

In this machine learning course, you’ll learn exactly what the world’s leading employers of data scientists are looking for in their employees. As part of the curriculum, you’ll work on Capstone Projects, real-world business cases, and mentoring from industry leaders that matter.

Conclusion:

While many might say that employment is being lost to AI at a far faster rate than in prior industry-changing events, the numbers so far do not stack up. Rather than eliminating employment, artificial intelligence in the workplace is enhancing people’s skillsets, and hence their compensation, across a broad variety of sectors.

So without any delay, get your machine learning certification now and pave your own path to becoming a successful Data Science Professional with Imarticus’ Post Graduate Program in Data Analytics & Machine learning.

Which Is the Best Artificial Intelligence Course of 2021?

Posted on by Imarticus Learning

In today’s technological era, machines are everyday partners of humans. Artificial Intelligence (AI) has a crucial role in determining the intelligence of machines.

In 2021, many businesses and public services rely on AI for day-to-day operations. College graduates and young enthusiasts are learning AI to build a successful career. There are many AI courses in the market and, it can get difficult to choose one. Read on to know the best AI course of 2021 and why one should learn AI.

Why learn artificial intelligence?

 The reasons one should look for an artificial intelligence course are as follows:

  • Many organizations and businesses are adopting an AI strategy. The rise of automation in the industry processes has fuelled the demand for AI experts. By opting for an artificial intelligence course, you can future-proof your career.
  • Since AI is a new-age technology, there is a shortage of expert individuals in the industry. An AI professional earns a handsome salary and will always be in demand.
  • Gone are the days when AI was only used by robotics and the space industry. Nowadays, AI has become a versatile technology that is used by numerous industries. Some popular sectors that use AI are healthcare, logistics, finance, banking, and legal sectors. You will open multiple future career prospects for yourself by learning AI.

Why go for online training?

Educational institutions usually do not provide certification courses to students. They offer a complete degree program in which AI is just one of many subjects. If you are willing to only study AI, you would have to go through the whole degree program. It is where online training is a boom for AI enthusiasts.

Also, the recent pandemic (COVID-19) led to the suspension of classroom lectures. Online training has helped AI students during the pandemic period. Working professionals can also commit to an online program easily while continuing their job. However, you need to choose industry-oriented AI ML courses that make you job-ready. Imarticus Learning is a reputed EdTech platform that offers AI ML courses with an industry-oriented curriculum.

 Why choose the AI/ML course of Imarticus Learning?

Imarticus provides a Certification in Artificial Intelligence & Machine Learning that is 9-month long. In association with IIT Guwahati, this AI/ML course is a blessing for AI enthusiasts amidst the pandemic. Besides this certification program, Imarticus offers many other artificial intelligence and machine learning courses like PG Program in Data Analytics & ML. The reasons one should choose the certification program in AI/ML from Imarticus are as follows:
artificial intelligence and machine learning courses

  • This course is offered in association with one of the most premier institutes in India i.e., IIT Guwahati. You will get to learn from academic professors and industry experts.
  • Imarticus strictly follows an industry-oriented curriculum that makes you learn job-relevant skills for the AI/ML industry. During the certification course, you will work on 25 real-life industry projects that will make you job-ready.
  • Some of the top languages and tools covered in this certification course are NumPy, TensorFlow, OpenCV, Spyder, Pandas, and Jupyterhub.
  • Imarticus also offers career services at the end of the certification course. Professionals trained by Imarticus in the past work in some of the top organizations of the globe like Accenture, Standard Chartered, Oracle, Deloitte, KPMG, Infosys, and Tata.
  • This course will also offer a 3-day campus immersion program where you can interact with the peers and faculty members of IIT Guwahati.

In a nutshell

Imarticus provides some of the best artificial intelligence and machine learning courses in India at affordable rates. You can also get a scholarship of up to 40% for the certification course in AI/ML offered by Imarticus. Start your online artificial intelligence course now!