Top 7 Machine Learning Courses to learn in 2022

Machine Learning is one of the most intriguing and fast-paced computer science topics, with solid foundations in statistics. Machine learning may improve the efficiency and intelligence of various industries and applications.
Machine learning course models are used in chatbots, spam filtering, ad serving, search engines, and fraud detection, to name a few applications. Machine learning allows us to discover patterns and develop mathematical models for tasks that humans would find otherwise hard to do.
Machine Learning Course, in contrast to data science courses, which cover topics such as exploratory data analysis, statistics, communication, and visualization techniques, focus solely on machine learning algorithms, how they operate mathematically, and how to use them in programming language.

1) Machine Learning Course Using Python - Henry Harvin

The Henry Harvin Institute’s courses are designed to upskill educated people in various fields to make them more employable. Through a global Edtech company, it can teach its pupils to Industry standards thanks to a well-structured pedagogy. Python Machine Learning and Machine Learning classes are available from Henry Harvin. Henry Harvin’s Certified Machine Learning Practitioner(CMLP) course is highly regarded and revered by IIT and IIM students.

2) Machine Learning Course with R - Henry Harvin

Because of its life support and access to course materials, Henry Harvin stands out among the edtech companies in India offering Machine Learning courses. A devoted staff of mentors and trainers works to improve their students’ educational qualifications through various courses. In addition, it focuses on offering online learning for skill-based education. As a result, they promise to prepare their pupils for jobs after completing their studies.

3) Deep Learning Specialization — Coursera

This specialization, which Andrew Ng also teaches, is a more advanced course series focusing on how neural networks and deep learning may be used to tackle various problems.
Each course’s assignments and lectures employ the Python programming language and the TensorFlow neural network library. This is a suitable follow-up to Ng’s Machine Learning course, as you’ll get a similar lecture approach but will now be exposed to machine learning using Python.

4) Machine Learning Course — Google AI

This machine learning course is part of Google AI Education, a free platform with articles, videos, and interactive content.
The Machine Learning Crash Course includes all of the concepts you’ll need to address ML challenges quickly. . In addition, each significant portion of the curriculum has a Google Colab-hosted interactive Jupyter notebook.

5) Machine Learning Course — Intellipaat

This is another advanced set of courses covering a wide range of topics. An online programme with this specialization is important if you want to explore as many machine learning techniques as feasible.

6) Machine Learning Course — EdX

This is the most advanced machine learning course on the list, with the most significant math prerequisite. Linear algebra, calculus, probability, and programming are all skills you’ll need. The course includes fascinating programming assignments in Python or Octave, but neither language is taught.

7) Machine Learning Course for Coders Introduction —

The amount of time and attention that the founders of put into this course — and other courses on their site — is incredible. Lectures are conducted in a classroom with students, similar to MIT’s OpenCourseWare model, and the subject is based on the University of San Diego’s Data Science programme.

Wrapping Up

Machine Learning Course is a lot of fun to learn and experiment with, and I hope you found a course above that meets your needs as you begin your journey into this fascinating topic.
Finally, please post any questions or recommendations in the comments section below.
Thank you for taking the time to read this, and good luck with your studies!

Frequently Asked Questions

  1. How may we benefit from Henry Harvin’s self-paced videos?
    You’ll be able to continue through the course at your own pace because their video lectures and articles are short and to the point.
  2. What is machine learning, and how does it work?
    The artificial intelligence (AI) domain includes machine learning as a sub-category. Machine learning is concerned mainly with data analysis programmes.
  3. What other options do you have for a career?
    Other job titles are Data Science Software Engineer, Data Analyst, Associate Engineer, and Sr. Research Scientist.