Top Most Popular Courses on Machine Learning in 2018
Machine learning is the most demanding and trending subject today in the market.
So are you looking the best selling and top most popular online courses on machine learning in 2018?
You’re in the right place…
Check out our handpicked list of the new and best courses on machine learning.
Best Selling Courses on Udacity
Become a Machine Learning Engineer (NANODEGREE PROGRAM)
In this program, you’ll master valuable machine learning skills that are in demand across countless industries. Investment levels in this space continue to rise, thousands of highly-valued startups have entered the field, and demand for machine learning talent shows no signs of leveling.
1 Term — 6 months Course, 2213+ Rating
Deep Learning (NANODEGREE PROGRAM)
In this program, you’ll cover topics like Keras and TensorFlow, convolutional and recurrent networks, deep reinforcement learning, and GANs. You’ll learn from authorities such as Sebastian Thrun, Ian Goodfellow, and Andrew Trask, and enjoy access to Experts-in-Residence from OpenAI, Google Brain, DeepMind, Bengio Lab and more
1 Four-Month Term Course, 1394+ Rating
Best Selling Courses on Coursera
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition.
(1) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks).
(2) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning).
(3) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
11 Weeks Course Created by: Stanford University
Deep Learning Specialization
In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects.
5 Courses Created by: Deep Learning.ai
Course 1 Neural Networks and Deep Learning
Course 2 Improving Deep Neural Networks
Course 3 Structured Machine Learning Projects
Course 4 Convolutional Neural Networks
Course 5 Sequence Models
Neural Networks and Deep Learning
In this course, you will learn the foundations of deep learning. When you finish this class, you will:
– Understand the major technology trends driving Deep Learning
– Be able to build, train and apply fully connected deep neural networks
– Know how to implement efficient (vectorized) neural networks
– Understand the key parameters in a neural network’s architecture
4 week course Created by: Deep Learning.ai Level: Intermediate
Best Selling Courses on Udemy
Machine Learning A-Z™: Hands-On Python & R In Data Science
Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.
(36,455 + Ratings), (229,019 + Students Enrolled)
Python for Data Science and Machine Learning Bootcamp
Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!
(17,351 + Ratings), (108,378 + Students Enrolled)
Deep Learning A-Z™: Hands-On Artificial Neural Networks
Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. Templates included.
(9,252 + Ratings), (86,252 + Students Enrolled)
Data Science, Deep Learning, & Machine Learning with Python
Go hands-on with the neural network, artificial intelligence, and machine learning techniques employers are seeking!
(7,798 + Ratings), (54,872 + Students Enrolled)
Complete Guide to TensorFlow for Deep Learning with Python
Learn how to use Google’s Deep Learning Framework – TensorFlow with Python! Solve problems with cutting edge techniques!.
(3,186 + Ratings), (26,000 + Students Enrolled)