5 Best Machine Learning Courses Online (2020)
Machine learning is a subject of the future. Sectors such as healthcare, fraud detection, behavioral pattern learning, E-commerce, etc. are teeming with prospects for people who are apt at it. Although the term ‘machine learning’ was introduced in 1952, it wasn’t up until recently that the subject became popular.
If you are interested in data science, then machine learning is a great sector for you to get started with. However, it must be clarified that deep learning is not machine learning. Rather, deep learning is a branch of machine learning.
Today, we will discuss some of the best machine learning courses available online, as handpicked by our experts!
This machine learning course focuses on the most effective techniques and motivates the learners to practice them. It provides theoretical knowledge, practical experience, and informs about the best practices one must follow. The quintessential style of Coursera allows the learner to interact with peers. This course is a total package and undoubtedly the best machine learning courses online.
- Concepts of Machine Learning, Pattern Recognition, and Data Mining.
- Learn Octave or Matlab
- Learn Best Practices
- Applying Learning Algorithms
- Building Smart Robots
- Building an Algorithm for Understanding Texts
- Database Mining
Course Duration: 11 weeks
The course has been created by Kirill Eremenko and Hadelin de Ponteves who are professional data scientists. Although the course lectures are very light, they delve deep into the core of machine learning. It is arranged in such a manner that anyone interested can learn. This only requires high school mathematics knowledge. However, people who have a basic knowledge already and seek a deeper understanding of the topic will also find the course enlightening.
- Learn Machine Learning with R-programming and Python
- Develop great intuition for various ML models
- Create Accurate Prediction Models
- Develop your Analytical Ability
- Learn Dimensionality Reduction
- Learn to combine Multiple Models.
Course Duration: 43 hours and 50 minutes of lecture
In this machine learning course, you will learn the methods and techniques of machine learning. Not only that, but you will also learn how to apply your freshly acquired knowledge in practical fields such as identifying the behavior of a group of people on certain news or ranking the performance of a set of players.
The course is comprehensive and explains the root concepts meticulously. You will spend the first half of the course learning regression and classification. You will learn some fundamental methods and algorithms of Machine Learning as well. While you will learn from a mathematical point of view, you will also focus on the practical implementation of the techniques you will acquire. Once you are done with this phase, the course will focus on teaching you unsupervised learning. You will cover data clustering, sequential models, ad matrix factorization. You will learn the applications of these including topic modelling and object recommendation.
- Techniques for Regression and Classification
- Various Machine Learning models
- Supervised and unsupervised learning techniques
- Probabilistic and Non-Probabilistic Modelling
Course Duration: 12 Weeks
- Advanced Memory Profiling
- Tensorflow JS
- Write easy to understand machine learning code
- Strategies as to how performance can be enhanced
- Linear Algebra
Course Duration: approx. 17 hrs 40 Minutes
This course dives into Machine Learning through Python, a well-known programming language. The course focuses on two broad aspects. The first one is how Machine Learning is applied in the modern world. While the second being a general overview of various ideas such as supervised and unsupervised Machine Learning, various algorithms, and evaluating models.
With this course, 43% of the learners got a tangible career benefit, while 13% of them got a raise in salary. These statistics depict how useful the course might be. The course is very short as well. However, the course is designed for intermediate learners.
- Application of Machine Learning in practical life
- Know the advantages of using Python in Machine Learning
- Linear, non-linear, simple as well as Multiple Regression.
- Different techniques on Classification
- Use of Recommendation Engines
In conclusion, the courses above are the best machine learning courses you can find online in 2020. Machine Learning is a very interesting topic and once you get the hold of it, it is fun to experiment with. It can be said without a doubt that Machine Learning is the future. It is already being used in many fields, and very soon it will be used in every sector. So, now is the best time to learn Machine Learning.
So, what are you waiting for? Start learning your favorite course today!