Top 10 machine learning courses online

TOP 10 FREE AND PAID MACHINE LEARNING COURSES ONLINE! Hi, I am David, admin of MachineLearning888 blog. Today, let me share all of you abo...

TOP 10 FREE AND PAID MACHINE LEARNING COURSES ONLINE!

Hi, I am David, admin of MachineLearning888 blog. Today, let me share all of you about top  machine learning courses as below. I hope you enjoy it.

1. Machine Learning A-Z™: Hands-On Python & R In Data Science - Udemy.



Course description: 

+ Instructor: Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, SuperDataScience Support
+ Rated: 4.5*/5 (73,301 ratings)
+ 381,738 students enrolled
+ 30-Day Money-Back Guarantee
+ 41 hours on-demand video
+ 27 articles
+ 3 downloadable resources
+ Full lifetime access
+ Access on mobile and TV
+ Certificate of Completion

What you'll learn:

+ Master Machine Learning on Python & R
+ Have a great intuition of many Machine Learning models
+ Make accurate predictions
+ Make powerful analysis
+ Make robust Machine Learning models
+ Create strong added value to your business
+ Use Machine Learning for personal purpose
+ Handle specific topics like Reinforcement Learning, NLP and Deep Learning
+ Handle advanced techniques like Dimensionality Reduction
+ Know which Machine Learning model to choose for each type of problem
+ Build an army of powerful Machine Learning models and know how to

For more details and student reviews, pls click here

2. Free lessons: Machine Learning with Python

+ Learning method: Watch YouTube playlist
+ Author: sentdex



3. Machine Learning Certification by Stanford University - Coursera

Stanford Coursera CourseThis is the single highest rated course on Machine Learning on the entire internet. Created by Andrew Ng, Co Founder of Coursera and Professor at Stanford University, the program has been taken up by more than 1,678,000 students & professionals globally, who have given it an average rating of a whooping 4.9 out of 5. One look at the testimonials and you will know why we so highly recommend it.

The topics covered in the course include supervised learning, best practices and innovation in ML and AI, while you also get to encounter numerous case studies and applications among a host of other things. One of the best part about the course is that you can enroll for a 7 day trial before going on to purchase the entire course. If you were to take our word for it, this is hands down the best program for the subject on the internet.

Duration : Approx 55 hours

Instructor: Andrew Ng, CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist,Baidu and founding lead of Google Brain

Rating : 4.9 out of 5 by 103,000+ students

More details, pls click here

4. Machine Learning, Data Science and Deep Learning with Python - Udemy



Course description: 

+ Instructor: Sundog Education by Frank Kane, Frank Kane
+ Rated: 4.5*/5 (13,127 ratings)
+ 86,716 students enrolled
+ 30-Day Money-Back Guarantee
+ 12 hours on-demand video
+ Full lifetime access
+ Access on mobile and TV
+ Certificate of Completion

What you'll learn:

+ Build artificial neural networks with Tensorflow and Keras
+ Make predictions using linear regression, polynomial regression, and multivariate regression
+ Classify images, data, and sentiments using deep learning
+ Implement machine learning at massive scale with Apache Spark's MLLib
+ Understand reinforcement learning - and how to build a Pac-Man bot
+ Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA
+ Use train/test and K-Fold cross validation to choose and tune your models
+ Build a movie recommender system using item-based and user-based collaborative filtering
+ Clean your input data to remove outliers
+ Design and evaluate A/B tests using T-Tests and P-Values

For more details and student reviews, pls click here

5. Mathematics for Machine Learning Specialization

For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science. This specialization aims to bridge that gap, getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science.

Trainer: Imperial College London

Duration: 4 to 6 weeks of study, 2 to 5 hours per week

Rating: 4.6 out of 5

You can Sign up Here 

6. Free lessons: Machine Learning — Andrew Ng, Stanford University

+ Learning method: Watch YouTube playlist
+ Author: Andrew Ng



7. Free lessons: Machine Learning Tutorial in Python

+ Learning method: Watch YouTube playlist, 47 videos
+ Author: Edureka



8. Free lessons: Introduction to machine learning NPTEL Prof. S. Sarkar IIT Kharagpur

+ Learning method: Watch YouTube playlist, 47 videos
+ Author: S. Sarkar IIT Kharagpur



9. Free lessons: Machine Learning Tutorial Videos

+ Learning method: Watch YouTube playlist, 144 videos
+ Author: Simplilearn




10. Free lessons: MATH ADVANCED - Multivariate CalculuS For Machine Learning By Samuel J. Cooper Imperial College London

+ Learning method: Watch YouTube playlist, 36 videos
+ Author: Ray Littlerock



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