5 Best Machine Learning Courses[2020]

Machine Learning is becoming one of the most interesting and fast-paced computer science fields to work in. There’s an endless supply of industries and applications. Machine learning can be applied to make them more efficient and intelligent.

Chatbots, spam filtering, ad serving, search engines, and fraud detection, are among just a few examples of how machine learning models support everyday life.

When there are many courses, certifications and tutorials for Machine Learning(ML), it becomes tough to choose the best one. Luckily, we’ve narrowed it down to the best courses & certifications for Machine Learning.

The instructor of this course is one of the world’s best known AI experts. In 2011, he co-founded Coursera which is one of the best online learning platforms.

This course is very interactive and highly involvingAlmost every video lesson has a quiz question to make sure that you understand the concept covered in the lesson.

The programming assignments are done in Octave allowing learners to overcome many of the syntax/logic problems that would likely come with other languages. Unfortunately, it is not a widely used language in the industry.

Major Topics Covered:

  1. Supervised Learning
  2. Neural Networks
  3. Unsupervised Learning
  4. Recommender System
  5. Regularization
  6. Learning Curves
  7. Error Analysis
  8. Ceiling Analysis

Andrew Ng

Instructor

Andrew Ng was the founder and lead of Google Brain in 2011. He was previously the chief scientist at Baidu. Currently, he is a general partner at AI Fund as well as being a founder at deeplearning.ai and Landing AI. He is also an adjunct professor of computer science at Stanford University.

What's Great About This Course?

  • The course has many quizzes and assignments for practice.
  • All the assignments come with a pre-setup environment in which you need to add the snippet of code.
  • A significant part of the course focuses on Neural Network Fundamentals.
  • The course comes with subtitles in many languages.

What Isn't Great About This Course?

  • The course is taught using Octave. It is great for beginners to bypass many of the syntax/logic problems. But it is not widely used in the industry.

» Review By Rishav K

⭐⭐⭐⭐⭐

It is the best online course for any person wanna learn machine learning. Andrew sir teaches very well. His pace is very good. The insights which you will get in this course turns out to be wonderful.

» Review By Jason S

⭐⭐⭐⭐⭐

Everything is taught from basics, which makes this course very accessible- still requires effort, however will leave you with real confidence and understanding of subjects covered. Great teacher too..

» Review By Marius N

⭐⭐⭐⭐⭐

Great overview, enough details to have a good understanding of why the techniques work well. Especially appreciated the practical advice regarding debugging, algorithm evaluation and ceiling analysis.

Duration: 54 hrs

Students’ Rating: 4.9

Price: $49/Month of Subscription or Free with Financial Aid

This is the highest-rated course for Machine Learning on Udemy. The course is very unique because most courses for ML are taught using Python. This course however is taught using JavaScript.

Javascript is one of the most widely used programming languages. It is a great course if you know JavaScript already and would like to learn Machine Learning. The course gives a solid introduction to Machine Learning in JavaScript.

The algorithms are explained in a way that is very intuitive and easy to understand, and the code examples are well written and concise.

Major Topics Covered:

  1. K-Nearest Neighbor
  2. Tensorflow JS
  3. Gradient Descent
  4. Gradient Descent with Tensorflow
  5. Increasing Performance with Vectorized Solutions
  6. Natural Binary Classification
  7. Multi-Value Classification
  8. Image Recognition
Stephen Grider

Stephen Grider

Instructor

 Stephen has been building complex Javascript front ends for top corporations in the San Francisco Bay Area. He has 26 courses on Udemy with many Bestsellers. With over 600,000 students and an Instructor Rating of 4.6, you know you have the right Instructor.

What's Great About This Course?

  • You Get Lifetime Access.
  • The Material Gets Updated With No Extra Cost.
  • Certificate Of Completion.
  • 30 Day Money Back Guarantee.
  • All doubts will be cleared in the Q&A Section on Udemy.

What Isn't Great About This Course?

» Review By Jason Brown

⭐⭐⭐⭐⭐

This is walked through in incredible detail and always relating the maths to what we are trying to achieve. A fantastic introduction to ML and used as the basis for studying otherwise inaccessible courses. It’s made easy.

» Review By Jeremy Smith

⭐⭐⭐⭐⭐

Everything this guy makes is well put together and easy to follow at one’s own pace. This course has exposed me to how awesome machine learning is and I cannot wait to implement what I learn into my own apps.

» Review By Richard Ladson

⭐⭐⭐⭐⭐

The instructor does an excellent job of explaining concepts that have confused me for years very simply and clearly. Because he uses a project based approach the concepts are very practical and immediately useful.

Duration: 17.5 hrs of Video Content

Students’ Rating: 4.7

Price: $10

The courses from Udacity come with a lot of perks. Not only are the instructors experienced professionals, but we also get personal mentor support and career services. Upon completing the course, we also get a certificate form Udacity.

There are lots of quizzes in between lessons to test and practice the concepts. Along with quizzes, there are 3 projects that can be added to your portfolio. Most importantly, the projects teach us how to work in a real-world production environment. You also get a chance to collaborate with peers from different parts of the world.

The only downside of this program is that having a lot of instructors makes it difficult for us to cope with each different teaching style. It often leads to some missing information or repeating the same information.

Major Topics Covered:

  • Training and Tuning Models
  • Neural Networks
  • Deep Learning with PyTorch
  • Clustering
  • Gaussian Misture Models
  • Dimensionality Reduction
  • Regression
  • Perception Algoritms
  • Decision Trees
  • Naive Bayes
  • Support Vector Machines
  • Evaluation Metrics

What's Great About This Course?

  • You will have a mentor who helps you throughout the course.
  • The instructors at Udacity are professionals with great experience in the field.
  • Job assistance to increase your chances of getting hired.
  • Career Assistance professionals also review your resume and Linkedin profile.
  • Certificate from Udacity.

What Isn't Great About This Course?

  • Udacity’s perks are beneficial only for those looking to make a career out of these skills. It might not be well suited for those learning out of interest.

» Review By Nathan S.

⭐⭐⭐⭐⭐

Great program, very excited to continue my exploration of Machine Learning and it’s seemingly endless applications in the real world. Undoubtedly one of the most in depth Intro to Machine Learning classes available.

» Review By Daniela G.

⭐⭐⭐⭐⭐

I am really happy with the program. It is exactly what I was looking for and the lessons are easy to follow but difficult enough to keep you interested and going. Thanks!

» Review By Francisca A.

⭐⭐⭐⭐⭐

This program associates theory and practice, making you to take important decisions about proposed projects, comparing studied algorithms and looking for those that can be applied acconding to the project context.

Duration: 3 Months at 10 hrs/Week

Students’ Rating: 4.7

Price: $399/Month

This online course was built with hands-on experience in mind, and the whole course is structured to combine theory with practice at every step. In addition, all students who take this online course will create four end-to-end projects, thus solidifying their practical knowledge even further.

You have the choice of self-paced learning or learning with live online classes.

This Machine Learning course requires an understanding of basic statistics and mathematics at the college level. Familiarity with Python programming is also beneficial. Some of the material required for the prerequisites is provided by Simplilearn for free.

Although it is considerably shorter than many of the other courses on this list, the mandatory student projects add exceptional value to an otherwise short course.

Major Topics Covered:

  1. Data Preprocessing
  2. Supervised Learning
  3. Feature Engineering
  4. Supervised Learning Classification
  5. Unsupervised Learning
  6. TIme Series Modelling
  7. Ensemble Learning
  8. Recommender Systems
  9. Text Mining

What's Great About This Course?

  • Lifetime Access for Self-Paced Content.
  • Certificate Of Completion from Simplilearn.
  • 7 Day Money Back Guarantee
  • The Course focuses on Project Based Learning.
  • Dedicated Mentoring Sessions from Industry Experts.
  • Great Community.

What Isn't Great About This Course?

Duration: 7 hrs of Video Content + 4 Hands-on Projects

Students’ Rating: 4.5

Price: $260

This course teaches Machine Learning not only in Python but also R. The creators of the course are professional data sientists with great experience in Machine Learning and Data Science.

The course also has a few sections covering Natural Language Processing(NLP) and Deep Learning. One of the only issues with this course is that the Q&A Section is not being managed well.

Major Topics Covered:

  1. Data Preprocessing
  2. Regression
  3. Classification
  4. Clustering
  5. Association Rule Learning
  6. Reinforcement Learning
  7. Natural Language Processing(NLP)
  8. Deep Learning
  9. Dimensionality Reduction
  10. Model Selection & Boosting

Kirill Eremenko

Kirill Eremenko

Instructor

Kirill is a Data Science management consultant with over five years of experience in finance, retail, transport and other industries. He has over 1.4 million students on Udemy and an instructor rating of 4.5.

Hadelin de Ponteves

Hadelin de Ponteves

Instructor

Hadelin is the co-founder and CEO at BlueLife AI, which leverages the power of cutting edge Artificial Intelligence to empower businesses. He has over 1 million students on Udemy and an Instructor Rating of 4.5.

What's Great About This Course?

  • You Get Lifetime Access.
  • The Material Gets Updated With No Extra Cost.
  • You get a Certificate Of Completion.
  • 30 Day Money Back Guarantee.
  • The course can be great for beginners in Machine Learning.

What Isn't Great About This Course?

  • Machine learning is a vast topic and the lectures can be confusing. Unfortunately, you can have problems getting a clear and timely response to your questions in the Q&A Section.

» Review By Victor G Negron

⭐⭐⭐⭐⭐

This course has everything you need to know about Machine Learning in Python in R. Not only is the quality of the course great, but it’s also very expansive and comprehensive. You’ll learn a lot more about machine learning through this course.

» Review By Jarar Zaidi

⭐⭐⭐⭐⭐

Great course, I saved all the templates & its good that they touched base on many important segments of ML. I was very confused on the various segments within ML/ what ML is, but I have a better understanding now.

» Review By Gaurav Kabra

⭐⭐⭐⭐⭐

An amazing course to set anyone off with great and detailed understanding of Machine Learning and it’s applications. The live implementation clearly shows the pros and cons of each model. Absolutely loved the course, it deserves the 5 stars!

Duration: 44 hrs of Video Content

Students’ Rating: 4.6

Price: $10

0 Comments

Submit a Comment

Your email address will not be published. Required fields are marked *