20 Best Online Courses on Machine Learning
Machine Learning is very powerful and popular. Many people are shifting their careers into the ML field. The reason behind the popularity of Machine Learning is its power to make useless data into more meaningful data.
Machine Learning models allow us to predict of various outcomes from the data.
There are huge demands and high salaries in the Machine Learning field. That is the reason a lot of people are shifting their careers into Machine Learning.
But, the next question that comes is where to begin and from where to learn?
Right?
So, there are various resources that are available like books, online courses, YouTube videos, Some Institutions, and many more.
And then the next question that comes is, “Which resource is Best for Machine Learning?”
The answer depends upon various factors like- Your availability means if you are a working person, then it’s difficult to join any Institution.
The easiest way to learn Machine Learning is via Online Sources or Via Books.
Books are good for the Theoretical Understanding of Machine Learning. These are two books on Machine Learning you should have.
1. An Introduction to Statistical Learning – This book will give a better understanding of Mathematics for Machine Learning.
2. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow – This book will teach you how to implement Machine Learning algorithms in Python.
But if you are a person who loves visual learning, then Online Courses are good for you. Online Courses are more interactive than books.
Before I discuss the Best Online Courses On Machine Learning, I would like to mention the criteria to call these courses “Best”.
Criteria-
Coverage of Machine Learning Topics.
Engaging trainer and Interesting lectures.
Number of Students Benefitted.
Good Reviews from various aggregators and forums.
On these criteria, I have filtered out Courses from Different platforms like Coursera, Udemy, Udacity, edX, Pluralsight, Edureka, Codecademy, and Data Camp.
So, without wasting your time, let’s start finding Best Online Courses On Machine Learning for you.
Best Machine Learning Courses at Coursera
Rating- 4.9/5
Time to Complete- 60 hours
This is one of the Best Online Courses for Machine Learning. This course is created by Andrew Ng the Co-founder of Coursera, and an Adjunct Professor of Computer Science at Stanford University.
This course provides you with a broad introduction to machine learning, data mining, and statistical pattern recognition.
All the math required for Machine Learning is well discussed in this course.
This course uses the open-source programming language Octave. Octave gives an easy way to understand the fundamentals of Machine Learning.
Now, let’s see What you will learn in this Course-
Topics Covered-
Application Example: Photo OCR
Extra Benefits-
You will get a Shareable Certificate. Along with that, you will learn various case studies and applications. That will teach you how to apply machine learning algorithms to building smart robots.
You will also learn text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and others.
Who Should Enroll?
This Course is Most Suitable for Complete Beginners. But people with some basic understanding of ML can also enroll.
Cost of the Course-
This course is FREE to audit but for a certificate, videos, quizzes, and programming assignments you have to enroll yourself for a Certificate. The cost of a Certificate is $79.
Interested to Enroll?
Instructor- Andrew Ng, Younes Bensouda Mourri, Kian Katanforoosh
Rating- 4.8/5
Time to Complete- 4 months ( If you spend 5 hours per week)
This course is also taught by Andrew Ng. This is a Specialization Program that contains 5 courses.
This Deep Learning Specialization is an advanced course series for those who want to learn Deep Learning and Neural Networks.
Python and TensorFlow are used in this specialization program for Neural Networks. This is the best follow-up to Andrew Ng’s Machine Learning Course.
More than 250,000 learners from all over the globe have already enrolled in this Specialization Program.
Now, let’s see all the 5 courses of this Specialization Program-
Courses Include-
Now, let’s see what benefits you will get after completing this Course?
Extra Benefits-
You will get a Shareable Certificate.
You will get a chance to work on case studies on healthcare, autonomous driving, sign language reading, music generation, and natural language processing.
Along with that, you will get a chance to hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.
Who Should Enroll?
NOTE- This Specialization Program is not for Beginners. This program is suitable for those-
Those who have some basic understanding of Python.
Those who have a basic knowledge of Linear Algebra and Machine Learning.
Cost of the Specialization Program-
This course is FREE to audit but for Certificate $49/month.
Interested to Enroll?
Provider- National Research University Higher School of Economics
Rating- 4.5/5
Time to Complete- 10 months (If you spend 6 hours per week)
This Specialization series is an advanced series of courses. If you want to learn more than the basics of Machine Learning, then this is the best choice for you.
This specialization program fills out all the gaps in your knowledge of Machine Learning. As this is an advanced series of courses, that’s why you need to have more math knowledge.
In short, this specialization program is for those who are already in the industry. This course will sharpen their skills.
Throughout this Specialization program, you will create several projects, that will help you to build a more powerful portfolio.
This Specialization Program contains 7 Courses. Let’s see all these courses-
Courses Include-
You will get a Shareable Certificate.
You will have a good level of Mathematics Knowledge for Machine Learning.
Who Should Enroll?
Those who are beginners and want to learn Mathematics for Machine Learning.
Cost of the Specialization Program-
7 Day Free Full Access Trial and after $49/ month.
Interested to Enroll?
If yes, then You can Sign Up here.
Now let’s see Best Online Courses On Machine Learning at Udacity.
Best Machine Learning Courses at Udacity
Time to Complete- 3 months (if you spend 10 hrs/week)
Rating- 4.7/5
This is Nano-Degree Program. In that program, you will learn foundational machine learning algorithms, starting with data cleaning and supervised models. Then this program will cover deep and unsupervised learning.
The best part of this program is that at each step, you will get practical experience by applying your skills to code exercises and projects.
Now, let’s see the topics covered in this Nano-Degree Program-
Topics Covered-
Deploying a Sentiment Analysis Model
Extra Benefits-
You will get a chance to work on Real-world projects.
You will get Technical mentor support.
Along with that, you will get Resume services, Github review, LinkedIn profile review.
Who Should Enroll?
Who has intermediate-level Python programming knowledge, and experience with NumPy and pandas.
Who has math knowledge, including- algebra and some calculus.
It’s a beginner-friendly program only Python knowledge is mandatory.
Interested to Enroll?
If yes, then check it out here– Deep Learning (Udacity)
Now let’s see Best Online Courses On Machine Learning at Codecademy.
Best Machine Learning Courses at Codecademy
Time to Complete- 7 weeks
Type- Skill Path
This is another Beginner-friendly skill path for Machine Learning from Codecademy. The best part of this course is its Step by Step guide.
This course starts with the basics of machine learning. After completing the basics of machine learning, you will work on 3 different projects- Handwriting Recognition, Sports Vector Machine, and Breast Cancer Classifier.
Now, let’s see the topics covered in that course-
Topics Covered-
Who has basic knowledge of Python.
Interested to Enroll?
If yes, then You can Sign Up Here.
FYI- If you are Interested to Build Chatbot with Python, you can check this Course- Build Chatbots with Python . You can also check this one- Learn to Program Alexa
Now let’s see Best Online Courses On Machine Learning at Datacamp.
Best Machine Learning Courses at Datacamp
Time to Complete- 93 hours
Type- Career Track
This is a career track offered by Datacamp. There are 23 courses in this career track and begin with supervised learning with scikit learn. In this course, you will learn supervised, unsupervised, and deep learning.
Along with this, you will learn natural language processing, image processing, and libraries such as Spark and Keras.
In this career track, you will also learn how to approach and win Kaggle competitions.
Who Should Enroll?
Who is a beginner in Machine learning and looking for step by step career guidance.
Interested to Enroll?
Provider- SuperDataScience Team
Time to Complete- 44 hours
This is the Bestseller Course at Udemy. I personally love this course. This course not only teaches you the theory related to Machine Learning but also provide the implementation of each Machine Learning Algorithms.
The best part of this course is that you will find implementation in Both Languages Python and R. If you are a complete beginner in Machine Learning, then this course is best for you.
This course doesn’t cover advanced topics but covers all basic topics of Machine Learning. You will also learn the basics of Deep Learning and Natural Language Processing.
Now, let’ see the topics covered in this course-
Topics Covered-
Part 1 – Data Preprocessing
Part 2 – Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression
Part 3 – Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification
Part 4 – Clustering: K-Means, Hierarchical Clustering
Part 5 – Association Rule Learning: Apriori, Eclat
Part 6 – Reinforcement Learning: Upper Confidence Bound, Thompson Sampling
Part 7 – Natural Language Processing: Bag-of-words model and algorithms for NLP
Part 8 – Deep Learning: Artificial Neural Networks, Convolutional Neural Networks
Part 9 – Dimensionality Reduction: PCA, LDA, Kernel PCA
Part 10 – Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost
Extra Benefits-
You will get a Certificate of Completion.
You will also get 74 articles and 38 downloadable resources.
Along with that, you will get lifetime access to the course material.
Who Should Enroll?
This course is for anyone who wants to learn Machine Learning.
Students who have at least high school knowledge in math and who want to start learning Machine Learning.
Interested to Enroll?
You will get a Certificate of Completion.
You will also get 13 articles and 5 downloadable resources.
Along with that, you will get lifetime access to the course material.
Now, let’s the how much time this course will take to complete?
Who Should Enroll?-
Who has at least some programming experience.
Interested to Enroll?
If yes, then Sign Up here.
Now let’s see Best Online Courses On Machine Learning at Pluralsight.
Best Machine Learning Courses at Pluralsight
Time to Complete- 1 hour 53 minutes
Level- Beginner
In this course, you will learn how to perform Machine Learning with Python. After completing the course, you will be able to use Python and the scikit-learn library to create Machine Learning solutions.
Throughout the course, you will utilize Python and its libraries to make machine learning models.
Who Should Enroll?
Who wants to learn the basics of machine learning with Python. And who is familiar with software development in general and basic statistics.
Interested to Enroll?
Time to Complete- 1 hour 42 minutes
Level- Intermediate
In this course, you will learn how to leverage Azure’s Machine Learning capabilities. In the beginning, you will learn how Microsoft’s Team Data Science Process (TDSP) enables best practices across disciplines.
Then you will learn the workflow of the Azure Machine Learning Service. In the next step, you will review how to make a pipeline for your data preparation, model training, and model registration.
At the end, you will explore the infrastructure approaches that can be leveraged for machine learning.
Who Should Enroll?
Who has intermediate level knowledge in machine learning.
Interested to Enroll?
Time to Complete- 17 hours
Type- Career Path
This is a career path with 9 courses offered by Pluralsight. In this career path, you will learn Amazon Lex, Amazon Translate, Sagemaker, Amazon Comprehend, Amazon Transcribe, Deep Learning on AWS, AWS Polly, and AWS Rekognition.
In the beginning, you will learn about your first artificial intelligence service that can be used in your application, Amazon Lex. Then you will learn about the bulk of the options for AI on AWS for developers.
At the end of this career path, you will learn about AI tools, Rekognition, machine learning with the powerful Sagemaker and Deep Learning Instances on AWS.
Who Should Enroll?
Who is familiar with cloud computing and application development.
Interested to Enroll?
If yes, then check out the details here- AWS Machine Learning / AI
Best Machine Learning Courses at edX
Provider- ITMO University
Time to Complete- 5 weeks (If you spend 2-4 hours per week)
This is an advanced machine learning course offered by edX. In this course, you will learn advanced concepts of machine learning such as factor analysis, multiclass logistic regression, resampling and decision trees, support vector machines, and reinforced machine learning.
This course considered various examples and software applications. Now let’s see the syllabus of the course-
Course Syllabus-
Natural Language Processing with Python Certification
AI & Deep Learning with TensorFlow
Python Spark Certification Training using PySpark
Machine Learning Engineer Master Capstone Project
Along with that, you will get 2 FREE Elective Courses-
Python Scripting Certification Training
Python Statistics for Data Science Course
Extra Benefits-
You will get a Masters’s Course Certification from Edureka.
You will get Lifetime access to presentations, quizzes, installation guides.
Along with that, you will get a Personal Learning Manager, who is committed to answering all your queries.
Who Should Enroll?
Anyone can enroll, there is no prerequisite for enrolling in that Master Course.
Interested to Enroll?
Extra Benefits-
You will get a Deep Learning Engineer Certificate from Edureka.
Additionally, you will receive guidance from a Deep Learning expert who is currently working in the industry on real-life projects.
Along with that, you will get 24 x 7 Expert Support, Lifetime Access to the study material.
You will work on Real-life Case Studies.
You will also get 60 days of Cloud Lab access
You will get a chance to create an image classifier using CNN, and create a script generator using LSTM.
Who Should Enroll?
Those who have basic programming knowledge in Python and basics of concepts about Machine Learning.
Interested to Enroll?
If yes, then visit here.
So, these are the Best Online Courses On Machine Learning selected by me for you.
Summary of Best Online Courses on Machine Learning
Course Name
20 Best Online Courses on Machine Learning
Personal Note-
I would like to share my personal suggestions with you. In order to learn Machine Learning, these are some prerequisites-
Basic Calculus- Machine Learning is based on optimization, which requires knowledge of Calculus. So, it is important that you have basic knowledge of limits, functions, maxima, minima, etc.
Linear Algebra- The next prerequisite for ML is Linear algebra because, in ML, you have to deal with vectors and matrices. That’s why you should be aware of the concepts of linear algebra. Eigenvalues and Eigenvectors are also the main topics for ML.
Probability/ Statistics- You should have basic knowledge of probability too.
Advanced Courses will require this knowledge before starting the course. But Beginner-friendly courses will cover most of these topics.
This Mathematics for Machine Learning Specialization (Coursera) will give you a complete understanding of all math required for Machine Learning.
This Machine Learning (Coursera) by Andrew Ng will also cover most of the math you’ll need for Machine Learning.
Along with this Mathematics knowledge, you should have Programming knowledge. Most of the courses discussed here use Python.
This Machine Learning with Python (Coursera) course is good for Beginners. But if you don’t have any knowledge of Python, then you can check out this course- Programming for Everybody (Getting Started with Python)
So, these are the prerequisites to learning Machine Learning.
After learning all these skills, many people have a question, What are the most important Machine Learning algorithms?
Right.
Naive Bayes
These are must-haves but there is much more. Almost all courses discussed here covered all these algorithms.
Once you start learning these algorithms, start practicing some problems with Kaggle . Kaggle is a very popular machine learning contest platform where you can practice with real-world data so that you get an idea of how ML is used in the real world.
The reason why I select these courses is for you is their Real-World Projects. All these courses will also teach you how to work on real-world projects.
Because the more you practice, the more you will learn the concepts of Machine Learning.
You can use Data Camp to choose projects according to your interest.
You can check these Best Machine Learning Projects for Beginners–
1. Recommendation System
As a beginner in machine learning, you can start your first project as a Recommendation system. Where you have to build a system that will recommend the products based on user history. Something like Amazon or Netflix.
You can check this tutorial for Handwritten Digit Recognition using Python .
So, that’s all about the Learning path for Machine Learning. Now it’s time to wrap up.
Conclusion-
These Best Online Courses on Machine Learning will help you to start your Machine Learning journey. These Best Online Courses On Machine Learning will definitely help you whether you are totally a beginner or you have intermediate-level knowledge.
My aim is to provide you best resources for Learning. I hope you found this article helpful. If you have any doubt or questions, feel free to ask me in the comment section.
All the Best!
FAQ-
1. Where can I learn Machine Learning Online?
There are various Online Platforms are available from where you can learn. Some most popular platforms are Coursera, Udacity, Codecademy, Edureka, and Udemy. In these platforms, you can find the best courses on Machine Learning.
2. How long it will take to learn Machine Learning?
It depends upon How much hours you spend daily on Machine Learning. If you spend 5 to 6 hours daily, then approximately, in 6 months you can learn Machine Learning.
3. Is Machine Learning a good career?
In short, Yes. If you are good in Mathematics and in Programming, then definitely Machine Learning is a good choice for you. The scope of Machine Learning in present as well as in the future is very broad.
4. What is the salary of Machine Learning Engineer?
According to Glassdoor , the average salary of a Machine Learning Engineer in India is- INR 750k per year.
In the USA, it is- $ 114k per year.
5. How do I get a machine learning job with no experience?
If you are fresher and want to come to the Machine Learning field, then you should focus on Projects. Theoretical Knowledge is not enough, you should do some real-world projects. Real-world projects will show that you have also Hands-on experience similar to the Experience person. The courses listed in that article will cover Real-World projects.
6. Does Machine Learning require coding?
Knowledge of Programming language is necessary for Machine Learning. If you choose Python then you don’t need to write lots of code. It only requires a few lines of code.
7. What should I learn before Machine Learning?
Before learning ML, you should have knowledge of the following topics-
* Linear Algebra.
