Are you considering starting a career in Machine Learning? Discover the top 10 Best Online Machine Learning Courses online in 2020. By enabling computers to learn to perform tasks freely, machine learning offers tremendous options for all industries. Why many companies are looking to recruit experts in this field. Whether you are a student or
Are you considering starting a career in Machine Learning? Discover the top 10 Best Online Machine Learning Courses online in 2020.
By enabling computers to learn to perform tasks freely, machine learning offers tremendous options for all industries. Why many companies are looking to recruit experts in this field.
Whether you are a student or a specialist looking for a career change, it can be a good idea to start a career in Machine Learning. To achieve this, you can turn to specialized training to learn about the different ML algorithms, how they work, and how you can use them in a programming language. Through this file, discover the top 10 machine learning training courses available on the web.
1. Machine Learning AZ ™: Hands-On Python & R In Data Science:
Offered by the SuperDataScience Team, this adaptive course teaches you to create Machine Learning algorithms in Python and R. The training is broken down into 10 segments, and covers topics.
- data processing,
- the Rule Learning Association,
- natural language processing,
- Deep Learning or even dimensionality reduction.
This course consists of 40.5 hours of video on demand, 19 articles, and two complimentary resources. Once the training is completed, you will be able to receive a certificate.
2. Machine Learning by Stanford University:
This beginner-level course will allow you to discover the methods of Machine Learning. You will learn how to use these methods in everyday life to solve real-world problems.
The training covers different subjects such as linear regression, linear algebra, logistic regression, regularization, neural networks, and support vector machines. You will also study dimensionality reduction, anomaly detection, and recommendation systems.
This ten-module training is free. It spans 56 hours and brings together videos, articles, and reviews.
3. Machine Learning – Coursera:
Rather than using Python and R, the training offered by Coursera is based on the open-source programming language Octave. It is therefore an ideal course for perfect beginners since Octave will allow you to quickly acquire the basics of Machine Learning.
This course is intuitive and balanced, and you won’t necessarily need extensive mathematical knowledge to take it. The training is free but paid if you want to receive a certificate at the end …
4. Machine Learning Foundations: A Case Study Approach by the University of Washington:
The University of Washington offers a segment of its Machine Learning Specialization as a free course. It is intended for people who need to understand how machine learning can help analyze information and improve their business.
At the end of the training, you will have the necessary skills to apply the techniques you have learned in the different use cases studied. You will also master the basics of the Python language.
5. Advanced Machine Learning Specialization:
The Higher School of Economics offers a collection of seven advanced machine learning courses. By spending approximately 6-8 hours per week studying, it is possible to complete all seven courses in 35 weeks.
The training covers an introduction to Deep Learning, Bayesian Methods for Machine Learning, reinforcement learning, Deep Learning in Computer Vision, or natural language processing. A certificate is issued at the end of the training.
6. Applied Machine Learning: Foundations by LinkedIn Learning (Formerly Lynda.com):
This training course offered to beginners by LinkedIn Learning allows you to acquire the basics of Machine Learning in just 2.5 hours. The course is taught by Data Scientist Derk Jedamski and explores the different Machine Learning algorithms and their various applications.
The introduction to Machine Learning is accompanied by an exercise on data analysis and Data Cleaning. At the end of the training, you should be able to use the concepts learned to estimate success or optimize a model. You can take this course by signing up to LinkedIn for $ 29.99, or opt for a 1-month free trial.
7. Mathematics for Machine Learning Course by Imperial College London (Coursera):
Mathematics is the foundation of Machine Learning, yet are often neglected by most specialized training. With this course, Imperial College London offers you to acquire solid notions of fundamental mathematics and to learn how to use them for Machine Learning and Data Science.
You will start with linear algebra and multivariable calculus and then move on to more complex concepts. After this training, you will benefit from robust mathematical knowledge that you can use to become a true expert in Machine Learning.
8. Advanced Machine Learning Specialization – Coursera:
This training is one of the most comprehensive in the field of Machine Learning. It will allow you to discover all the different methods of Machine Learning.
This course has the advantage of being pleasant and compact. However, this is advanced training and therefore you will need to have the significant mathematical knowledge to attend.
9. Udacity Nanodegree Program:
The Udacity program offers you the opportunity to acquire all the skills necessary to become a Data Analyst or Data Scientist. You will learn to search for information through the prism of machine learning while learning about the main algorithms and how they work.
Among the various topics covered, there is supervised and unsupervised learning as well as Deep Learning. In addition to access to the student community, you will benefit from a “1 to 1” mentor and personal coaching.
10. Artificial Intelligence and Machine Learning Fundamentals by Udemy:
This course offered by Packt Publishing. It will teach you how to use Artificial Intelligence for predictive analysis and real-world problem-solving. It is primarily intended for Data Scientists and software developers wishing to improve their capabilities for Machine Learning projects.
This course includes 53 lessons spread over 8 hours of video on demand. At the end of the training, you will receive a certificate. However, you will have to pay the sum of 199.99 dollars. Knowledge of the Python programming language and a good level of mathematics is preferred before registration.