Learn the best of machine learning with these top courses and online training.
The new buzzword shaking up the global business arena is machine learning. It captured the public’s imagination and conjures up images of machine learning AI and robots in the future. Machine learning has paved the way for technical advancements and tools in manufacturing that would have been unimaginable a few years ago. It powers the groundbreaking technologies that support our way of life, from prediction machines to live streaming on online TV.
If words like deep learning, neural learning, and artificial intelligence pique your interest, we’ve got a great list of free machine learning courses you can start right now.
The Best Free Online Machine Learning Courses To Watch Out For In 2021
Machine Learning course – fast.ai
This is one of the best artificial intelligence training sites and it was developed with the aim of educating the general public about AI and how to get started in the AI field. All content is created from the ground up with the aim of learning by doing. Beginners and experts can choose from several options.
Introduction course Machine Learning – Udacity
This Nanodegree program will teach you the skills that all aspiring data analysts and data scientists should have. Explore the full method of data analysis through the prism of machine learning. Find out how to extract and recognize important functions that can be used to better represent your data. You will also discuss some of the most popular machine learning algorithms and rate their results.
Machine learning – Coursera
This is the course that all others in the machine learning field are measured against. The commands use the open-source programming language Octave instead of Python or R. This can be a deal-breaker for others, but Octave is an easy way to learn the basics of machine learning if you’re a total beginner.
It is one of the popular machine learning courses available for free. The course, which focuses on theory rather than practical implementation, is ideal for beginners who want to learn about machine learning. It includes 18 short lectures on topics such as machine learning models, performance and best practices. There are no prerequisites for this course other than a clear understanding of Mathematics, so students of all levels are welcome to enroll.
Machine learning with Python – Coursera
This is an introductory course that covers only the most basic machine learning algorithms. This course uses Python and is less focused on the math underlying the algorithms. With each module, you have the opportunity to open an interactive Jupyter notebook in your browser and practice the concepts you have just learned. Each notebook strengthens your understanding and provides step-by-step guidelines for applying an algorithm to real data.
Machine Learning course with R. – Datacamp
This immersive course is worth watching if you are already familiar with R programming and statistics and want to improve your skills. To begin, you will research the applications and critical problems that this field can solve. You will also train and evaluate machine learning models and focus on the three basic techniques. After you have completed your journey, you can pursue a more advanced specialization.
Crash course Machine Learning – Google
This would be mandatory reading for everyone at the tech giant who works in AI. This course covers the fundamentals of TensorFlow, Google’s open-source deep learning library used in many of its own AI-enhanced services and projects, as well as the theory and practical implementations of TensorFlow.
Neural networks and deep learning – Coursera
Working for a career as a deep learning engineer is one of the most exciting careers in IT, and this course is offered by Coursera and deep learning. AI is one of the most interesting ways to get started. AI is an excellent introduction to the fundamentals of deep learning. Mastering this skill can unlock opportunities you never thought were possible. So if you’re even vaguely interested, enrolling in this free course should be at the top of your to-do list.
In this course, you will be introduced to the core principles of Machine Learning, algorithms and all the catchphrases you have heard about Machine Learning. The course is designed not only for those who have a thorough understanding of Machine Learning, but also those who want to brush up on their data science skills.
This course teaches you how to master machine learning in Python and R, make predictions, develop an understanding of many machine learning models, and work with unique tools such as reinforcement learning, natural language processing, and deep learning. Most importantly, it explains how to select the right model for each problem.
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