Top 5 best Machine Learning Courses Online

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. It focuses on the development of computer programs that can access data and use it to learn for themselves.

Chatbots, spam filtering, ad serving, search engines, and fraud detection, are among only a couple of instances of how machine learning models support regular day to day life. Machine Learning is the thing that lets us discover patterns and make mathematical models for things that would sometimes be unthinkable for people to do.

Machine learning is fast becoming an extremely popular field of computer science to work in. In this digital age where computations are becoming lightning fast and we are heading into an era where computers will be doing most of our work, machine learning and artificial intelligence have a huge scope and deserve your attention.

Machine Learning — Coursera

The course utilizes the open-source programming language Octave rather than Python or R for the assignments. This may be a major issue for a few, yet in case you’re a complete beginner, Octave is really an easy method to gain proficiency with the basics of ML.

Generally, the course material is very balanced and instinctively verbalized by Ng. All of the math required to see every algorithm is totally clarified, with some calculus explanations and a refresher for Linear Algebra. The course is genuinely independent, however, some information on Linear Algebra in advance would help.

 

 

Deep Learning Specialization by deeplearning.ai (Coursera)

This is an advanced specialization for Deep Learning provided by Andrew Ng after you complete the Machine Learning course. This will teach you more about deep learning with topics like Convolutional networks, Recurrent neural networks, Long short-term memory (LSTM), Natural Language Processing, etc. This course will also provide personal stories and career advice from many top leaders in Deep Learning which will enrich your experience. This Deep Learning specialization has 5 courses including Neural Networks and Deep Learning, Improving Deep Neural Networks, Structuring Machine Learning Projects, Convolutional Neural Networks, and Sequence Models. You will also create deep learning models in many different fields like autonomous driving, healthcare, natural language processing, music generation, etc. After completing each of the courses in the specialization, you will obtain a Shareable Certificate that you can display on your resume or LinkedIn profile.

 

 Machine Learning by HarvardX (edX)

This course aims to teach you the fundamentals of Machine Learning and the different learning algorithms, principal component analysis, and regularization by creating a movie recommender system. You will also learn about data analysis and training data to obtain useful insights. This course will focus on Machine Learning algorithms such as Linear Regression with One Variable, Linear Regression with Multiple Variables, Logistic Regression, Support Vector Machines, Unsupervised Learning, etc. as well as teach you cross-validation to avoid overtraining that data. At the end of this course, you will obtain an instructor-signed certificate from edX and HarvardX to demonstrate your knowledge of Machine Learning for Data Science and analytics.

 

Machine Learning A-Z: Hands-On Python & R In Data Science (Udemy)

As the name claims, this course aims to teach you the basics of Machine Learning and Data Science from A-Z! This course is perfect for students who want to learn Machine Learning and Data Science or for professionals who want to make a career in these fields. Machine Learning A-Z teaches machine learning on both Python and R with a focus on more specific topics like Deep Learning, Reinforcement Learning, Natural Language Processing, etc. This course has a content structure with topics like Data Pre-processing, Regression, Classification, Clustering, Association Rule Learning, Reinforcement Learning, Natural Language Processing, Deep Learning, Dimensionality Reduction, and Model Selection & Boosting. After completing the course, you will get a certificate of completion that you can display on your CV, LinkedIn profile, etc.

 

 Machine Learning with Python by IBM (edX)

This course aims to teach you Machine Learning using Python. First, you will learn the basics of Machine Learning using Python and transform this theoretical knowledge into practical skills using online labs. This course is divided into five weeks with each of them focusing on an Introduction to Machine Learning, Regression algorithms including Linear, Non-linear, and Model evaluation methods, Classification algorithms including K-Nearest Neighbour, Logistic Regression, Decision Trees, Support Vector Machines, etc., Unsupervised Learning including Hierarchical Clustering, K-Means Clustering, and Density-Based Clustering and Recommender systems. At the end of this course, you will obtain an instructor-signed certificate from edX and IBM to demonstrate your knowledge of Machine Learning using Python.