8 Best Machine Learning Course Online- ML Courses 2022
At present due to increased application areas of AI, Machine Learning/deep learning, the industry is facing a dearth of skilled workforce. To point out, IDC forecasts that spending on AI and ML will grow from $12B in 2017 to $57.6B by 2021. As a result, technical professionals are looking to encash this opportunity and looking for some potential and Globally valued online courses on ML. With this in mind, our team has done great research in preparing
- Machine Learning:
- Why should you go for a course in ML
- Best Online courses on Machine Learning
- 1 . ML by Stanford University on Coursera
- 2 . Deep Learning Specialization by Deeplearning.ai (Partner- NVIDIA) on Coursera
- 3 . AI & Deep Learning with TensorFlow on Edureka
- 4. ML Certification Training using Python on Edureka
- 5. ML Certification by Simplilearn
- 6. Artificial Intelligence MicroMasters Program / Machine Learning Course by Columbia University (Columbia X) on edX
- 7. Data Science ML by Harvard University (HarvardX) on edX
- 8. Machine Learning A-Z™: Hands-On Python & R In Data Science by Udemy
Machine Learning:
Rapid advancements and innovations in enabling technologies are leading towards creating new areas of growth. Machine learning & Artificial Intelligence are among those innovations.
It must be remembered that machine learning is an application of AI that provides the system the ability to automatically learn and improve from experience.
Consulting firm McKinsey estimates that total annual external investment in Artificial Intelligence was between $8 Billion to $12Billion in 2016. Markedly, ML contributes 60% of this investment.
In another report by Deloitte Global predictions 2018, the number of machine learning pilots and implementations for the year 2018 will be doubled by the year 2020. That’s huge!
Why should you go for a course in ML
Once you get into the details, there is clear demand and supply gap one can see, as high-end ML talent is becoming limited. For instance, 76% of Indian companies have observed a shortage of AI/ML skilled professionals which is resulting in slowing down their AI adoption.
Furthermore, as per one Gartner report, AI is projected to create 2.3 million jobs by 2020. Hence it can safely be said that a significant part of these jobs will go to ML.
As demand continued to outpace the supply in time to come, it will be fairly difficult for the HR department to find top-class talent.
One can see that there is a 60% rise in demand for AI and ML experts in 2018 as per one report.
Professionals have also understood this pain area of the industry and are rushing to join a few quality online courses on ML and Artificial Intelligence.
“The first step towards getting somewhere is to decide that you are not going to stay where you are.”Chauncey Depew
Best Online courses on Machine Learning
1 . ML by Stanford University on Coursera
There are many factors, which have already made it one of the most sought-after courses in machine learning. Firstly, it is being conducted by Stanford University, which is one of the best institutes in the world. Secondly, Coursera is the leading facilitator of the courses from leading institutes and organizations.
Markedly, Coursera was founded by two Stanford graduates, Daphne Koller
In particular, Coursera offered courses that are famous for two reasons. Firstly, it offers certificates from the best of the world Institutes/companies. Secondly, these tutorials are well structured which ensures the effectiveness in the content delivery.
Key Attributes/Features
| Duration – 55 hours |
| Enrollment Status: Started from 4th March 2019 |
| Ratings – 4.9 star (49,000+ ratings) Reviews – 24,000+ reviews |
| Dedicated mentoring session from industry experts |
| Gain expertise with 25+ hands-on exercises |
| Skills you will gain: Logistic Regression Artificial Neural Network Machine Learning (ML) Algorithms |
|
Advisors/Instructors: Andrew Ng CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist |
2 . Deep Learning Specialization by Deeplearning.ai (Partner- NVIDIA) on Coursera
One of the most highly sought-after skills in technology, which helps you to break into AI.
Deep learning Specialisation is comprised of 5 courses:
- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization
and Optimization - Structuring ML Projects
- Convolutional Neural Networks
- Sequence Models
| Duration – Approx. 3 months to complete with suggested 11 hours/week |
| Enrollment Status: Starts from 5th March 2019 |
| Ratings – 4.9 star (130,000+ ratings) Reviews – 24,000+ reviews |
| Every Specialization includes a hands-on project. Award of the certificate, once you complete every part and |
| Skills you will gain: Tensorflow Convolutional Neural Network Artificial Neural Network Deep Learning |
|
Advisors/Instructors: Andrew Ng CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; former Chief Scientist-Baidu and founding lead of Google Brain Kian Katanforoosh (Head Teaching Assistant) Lecturer of Computer Science at Stanford University, deeplearning.ai, Ecole CentraleSupelec Younes Bensouda Mourri (Teaching Assistant) Mathematical & Computational Sciences, Stanford University, deeplearning.ai Industry Partner – NVIDIA Deeplearning.ai is Andrew Ng’s new venture which provides comprehensive AI education beyond borders. |
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3 . AI & Deep Learning with TensorFlow on Edureka
As per Google, TensorFlow could be a game-changer in the future of AI. In effect, MIT also says that Google stakes its claim heavily on
Key Attributes/Features
| Duration – 30 hours |
| Ratings – 4.57 Star rating (5000+ reviews) |
|
14,000+ enrolled |
| 60 days of Cloud Lab access |
| Real-life Case Studies |
| 24 x 7 Expert Support |
| Excellent trainers with 10-12 years of relevant industry experience and Edureka trained. |
4. ML Certification Training using Python on Edureka
With this ML Certification using Python,
Who should go for this:
- Developers, who want to become a Machine Learning Engineer
- Analytics Managers, Business Analysts who want to understand Machine Learning (ML) Techniques
- Information Architects
- ‘Python’ professionals who are keen to design
the automatic predictive models.
Those, who have completed the online
You may check testimonials and video reviews on this course.
| D |
| Ratings – 4.57 star (5000+ ratings) |
|
4000+ enrolled |
| 60 days of Cloud Lab access |
| Real-life Case Studies |
| 24 x 7 Expert Support |
| Excellent Course trainers with 10-12 years of relevant industry experience and Edureka trained. |
5. ML Certification by Simplilearn
Key Attributes/Features
| D |
| Ratings – 4 star (700+ ratings) |
| 1600+ enrolled |
| 4 real-life Industry projects with integrated labs |
| Dedicated mentoring session from industry experts |
| Gain expertise with 25+ hands-on exercises |
|
Advisors: 1. Mike Tamir No. 1 AI & ML Influencer, Head of Data Science – Uber ATG 2. Vivek Singhal Co-Founder & Chief Data Scientist, CellStrat |
6. Artificial Intelligence MicroMasters Program / Machine Learning Course by Columbia University (Columbia X) on edX
This MicroMasters Program from Columbia University will help you build a solid foundation of Artificial Intelligence (AI) which includes ML, Robotics, and other related topics
Key Attributes/Features
| Total 4 courses. 1. Artificial Intelligence (AI) 2. ML 3. Robotics & 4. Animation and CGI Motion Per Course Duration – Max 120 hours ( 8-10 years for 12 weeks ) To be completed in a year timeline |
| MicroMasters® Program Certificate in 1 year Course fee for Micromasters Program – $1080 Per individual course fee- $300 |
|
Instructors: (Columbia University ) Ansaf Salleb-Aouissi – Department of Computer Science John W. Paisley – Department of Electrical Engineering Matei Ciocarlie -Department of Mechanical Engineering Eitan Grinspun – Department of Computer Science |
7. Data Science ML by Harvard University (HarvardX) on edX
This Professional Certificate in Data Science from Harvard University will help you master Data Science including
Key Attributes/Features
| Total 9 courses. Per Course Duration – 1-2 hours per week for 8 weeks – [ For each of 7 Data Science courses, which includes R basics, Visualization, Probability, Inference & modeling, Productivity Tools, Wrangling and Linear Regression ] 2-4 hours per week for 8 weeks – Machine Learning 15-20 hours per week for 2 weeks – Capstone |
| Professional Certificate inData Science Course fee for Micromasters Program – $441 |
|
Course instructor: Rafael Irizarry – Professor of Biostatistics Harvard University |
8. Machine Learning A-Z™: Hands-On Python & R In Data Science by Udemy
Udemy offers various technical courses including Machine learning. Most of the courses have pre-requisite of development experience with Python, while Udemy’s online Machine learning course requires an understanding of high school level mathematics. Which makes it an easy opportunity.
Key Attributes/Features
| Duration – 41 hours |
| Ratings – 4.5 star (74,000+ ratings) |
| 384,000+ enrolled |
|
27 articles, |
| Full lifetime access |
|
Advisors: 1. Kirill Eremenko, Data Scientist 4.5 Tutor rating 2. Hadelin de Ponteves, AI Entrepreneur 4.5 Tutor rating 3. SuperDataScience Team (I), Helping Data Scientists Succeed 4.5 Tutor rating 4. SuperDataScience Team (II), Helping Data Scientists Succeed 4.5 Tutor rating |
Data Science A-Z: Machine Learning with Python & R
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