Top 10 Machine Learning Courses in 2021One of the latest & booming technologies that are impacting most of the industrial sectors is Machine Learning & AI. It is one of the most popular & exciting fields of computer science that is emerging day by day. Chatbots, spam filtering, search engines, fraud detection, etc., are some most amazing examples of how ML is making human's life smoother. Due to its popularity & increasing demands among companies, people are getting more excited about this technology and aiming to learn it. If you also want to learn this technology without joining any university and don't want to spend lots of money, then it is possible. There are various amazing courses of Machine Learning available online, among which some are absolutely free, and some are paid. Some popular platforms, such as Coursera, Udemy, EdX, etc., provide online courses along with certification. These courses are taught by renowned people from the best universities. You can easily learn these courses online and can access them from anywhere. Some courses are free; however, to take the certification, you might need to pay. These certification courses help to learn the basics of machine learning and use them in projects and help to become an ML expert. In this topic, we are providing a list of the best machine learning courses. Some of these courses are easy to start, while some may need some advanced aspects of learning.
1. Machine Learning by Andrew Ng/ Machine Learning Course by Stanford University (Coursera's best course)One of the best & popular courses on Machine Learning on the Internet is a course by Andrew Ng on Coursera. The course is offered by Stanford University on the Coursera platform. This course is structured and taught by Andrew Ng, the world's renowned expert, Stanford Professor, and cofounder of Coursera. This course has approximately 4,330 425 learners worldwide with average ratings of 4.9 out of 5. This course helps to understand and learn the theory behind effective machine learning techniques with practical implementation. This course not only provides theoretical knowledge of machine learning techniques but also teach how to apply these techniques practically by yourself. In this course, after completing each topic, you will be tested, and after the competition, the course final score will be given. In this course, you will get a detailed description of the mathematics behind each ML algorithm. Time to complete the Course: Approx. 55 Hours Level: Beginner Prerequisites: Ratings: 4.9/5 Cost: Free to Audit, Paid Certification. Key Highlights of Course
2. Intro to Machine Learning by Udacity (FREE)This course is one of the top courses of Machine learning that provides theoretical and practical concepts of machine learning. One of the best things about this course is that this course is taught by Sebastian, a man behind selfdriving cars. The course structure and way of representation makes machine learning even more interesting to learn. Along with the concepts of ML, it also provides programming knowledge of Python. This course is freely available to learn, but no certification will be awarded. Key Highlights of Course
3. Machine Learning AZ: HandsOn Python & R In Data Science (Udemy best course)This machine learning course by Udemy is one of the best machine learning courses. This course helps you to learn about machine learning algorithms. You can learn ML in Python and R from two Data Science experts. This is a handson course and includes a lot of code examples for you to practice. Students enrolled in the courses are 799,851. Time to complete the Course: Approx. 45 Hours Level: Beginner Prerequisites: Ratings: 4.5/5 Cost: Paid Course and Certification Key Highlights of Course
4. Machine Learning Crash Course  Google AIMachine Learning Crash Course is provided by Google AI education, which is a free platform to learn about AI and Machine Learning key concepts. However, this course is the best fit for those who want ML concepts to learn at a fast pace and want to learn the basics of key ML concepts, which may take several hours. But if you are just a beginner without any prior understanding of ML concepts, linear algebra, statistics, etc., then this may little difficult for you to learn this course. This crash course includes theoretical video lectures, practical exercises, realworld examples, and handson practical implementation of examples. This course is taught by Google experts who explain different key concepts of Machine learning. Time to complete the Course: Approx. 15 Hours Prerequisites: Python Programming knowledge, must be comfortable with linear equations, graphs of functions, histograms, and statistical means. Cost: Free Provider: Google AI The Course structure has topics that start from Machine Learning Basics, and cover Generalization, Training and Test Sets, Representation, Logistic Regression, Classification, neural Networks, Embedding, ML Engineering. Key highlights, of course.
5. Machine Learning CoursesEdXEdX is one of the best platforms to learn different courses and technologies hosted by different popular Universities such as Harvard, Columbia, etc., across the globe. You can explore the top courses on Machine Learning, Data Science, AI, and also other technologies. Each technology has Several courses by the world's best institutions. Besides courses, it also provides Online Master's degree program, MicroMaster's Program, etc. If you search for the Machine Learning Program, you will get search results for different courses, out of which most are free to audit but to gain a certificate, you need to pay. Some popular courses on Data Science and Machine Learning are Data Science from Harvard, Artificial Intelligence from Columbia, Python Data Science from IBM, Machine Learning from Texas, and Data Science from Microsoft, among a host of other courses. On each course, the timing is different, and the mode is online. Cost: Free to audit, Paid certification. Provider: EdX platform collaboration with renowned institutions. Duration: Approx. 912 weeks Key Highlights of the Course
6. Introduction to Machine Learning for Coders  Fast.aiFast.ai is one of the best portals that provide courses on topics that come under artificial intelligence and machine learning. This portal focuses on creating different courses that enable you to make a good start in the field of AI. Each course is structured in such a way that it covers all concepts from scratch and focuses on learning by doing. You can choose the course best suited for you as per your level of learning (beginner or experienced). So, if you are serious about getting started in this area, then this will be the easiest way is to select a course from here. "Introduction to machine learning for coders" focuses on the practical implementation of each algorithm from scratch. Course Highlights
7. Introduction to Machine Learning by DatacampMachine Learning Course with R by DataCamp is worth taking for those who are good in R programming language and Statistics. One important prerequisite for this course is that you need to have knowledge of the R language. The course mainly focuses on providing useful knowledge on different machine learning techniques. The course is designed in an interactive and interesting way and free for some content, however after some content, you need to pay for it. The course involved mainly involved how does machine learning works, where to use ML algorithms, the difference between AI and machine learning, etc. It also involves information about machine learning models, deep learning, etc. Course Highlights
8. Machine Learning Specialization by CourseraMachine learning specialization by Coursera is an advanced level course that helps you in creating solutions for complex problems of practical usage of Machine learning. This course provides you with a certification of course completion after completing the course and programming assignments of this course. This course is structured in such a way that you can get the maximum benefit of learning. As this is an advanced specialization course, hence it is required that you must have basic or intermediate knowledge of Machine learning, Probability theory, Linear algebra and calculus, and Python programming to enrol and understand this course. So, it is suggested that if you are a beginner in machine learning, then first brush on your maths & programming skill, and then move on to this course to complete your learning. Course Highlights
9. Machine Learning with PythonMachine Learning by Python is one of the great courses for beginners that mainly focuses on the Fundamentals of Machine Learning algorithms. The lectures are represented in a very interesting way that includes slide animations and a great explanation of algorithms. The course mainly uses Python programming language to do the practical implementation of algorithms. With each topic, you will get a chance to practice the topics that you just learner on your own on Jupyter notebook. Each notebook will enhance your knowledge and provide you with an understanding that how to use these algorithms with realworld data. Provider: IBM, Cognitive Class Price: Free to audit, Paid Certification Course Highlights
10. Python for Data Science and Machine Learning Bootcamp(Udemy)Python for Data Science and Machine Learning is one of the best top 10 courses of Machine learning. This comprehensive course will show the path to use the Python programming language for analyzing the data, creating visualizations, and powerful ML algorithms. This course is not only focused on Machine learning concepts but also help you to start your career in the Data Science field. According to indeed, Data Science job is ranked as number 1 job in Glassdoor ranking with an average salary of $120,000. So if you really want to make a good career start in the field of data science and Machine learning, then this course will be the recommended course. Time to complete the Course: Approx. 45 Hours Level: Beginner Prerequisites: Basics of Python Ratings: 4.7/5 Cost: Paid Course and Certification Course Highlights
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