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Top 5 Machine Learning Online Courses for You

Top 5 Machine Learning Online Courses for You
Written by Shikha Mehta

Do you aspire to become a professional data scientist or software programmer? For either of the two, I have listed 5 machine learning online courses that’ll give you a competitive edge.

If you don’t know anything other than a theory about machine learning, then don’t worry. This is because none of these courses need you to have prior knowledge about them. However, you should be good at high school mathematics and be able to understand programming.

After all, machine learning cannot be done without programming. So, you’ll be first learning a programming language and slowly you’ll step into coding for machine learning.

If you feel your base in programming can be made stronger before, then you can check out these online programming courses.

Online education is gaining popularity due to its easy availability and reasonable rates. People who feel they need to change their line of career opt-in for online courses instead of the traditional educational system.

So, are you willing to check out what these online courses on machine learning will offer? If yes, then continue scrolling!

The Best Machine Learning Online Courses of 2020

Online education platforms are filled with thousands of courses in every field. They even have courses for high school children! Although the courses listed below can be taken up only by college students and professionals, it is amazing to see how flexible they are.

Following are the best-selling courses for machine learning online:

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

Do you wonder how machine learning works? If you’re good at mathematics (high school level) and are into data science, then this course will be really beneficial for you. This is because, by the end of this course, you’ll be capable of creating your own machine learning model.

About the Tutors:

You have two tutors from the SuperDataScience Team who will guide you in this course – Kirill Eremenko and Hadelin de Pontes. While Kirill is a professional data scientist with an experience of 5 years, Hadelin is the co-founder & CEO of BlueLife AI.

Syllabus:

  • Introduction to machine learning and its applications
  • Data pre-processing and regression
  • Classification
  • Clustering
  • Association rule learning
  • Reinforcement learning
  • Natural language processing
  • Artificial and convolutional networks
  • Dimensionality reduction
  • Model selection & boosting
Course Rating 4.5/5
Instructor Rating 4.5/5 (for both)
No. of Students Enrolled 543,000+

 

  1. Python for Data Science and Machine Learning Bootcamp

If you wish to become a data scientist, then you should know machine learning. This course requires nothing but some background knowledge on coding. Not only will you learn programming machine learning with Python, but also create data visualizations.

About the Tutor:

Jose Portilla is the head of data science at Pierian Data Inc. also providing training courses in Python to employees of Cigna, The New York Times, GE and many more. Moreover, on Udemy he has 29 online courses on machine learning and more than 1 million students.

Syllabus:

  • Environmental setup
  • Overview of Jupyter
  • Learning Python in detail
  • Data capstone
  • Introducing to machine learning
  • Linear and logistic regression
  • Cross-validation and bias-variance
  • K nearest neighbors, decision trees and random forests
  • Vector machines
  • Principal component analysis and recommender systems
  • Natural language processing, neural nets, and deep learning
Course Rating 4.5/5
Instructor Rating 4.5/5
No. of Students Enrolled 299,000+

  1. Machine Learning, Data Science and Deep Learning with Python

Are you looking forward to becoming a software developer? If yes, then you need to know a lot about machine learning too. So, starting with a revision of your high school mathematics and Python programming, dive deep into how machine learning is done.

About the Tutor:

Frank Kane is the founder of Sundog Education and teaches you through his company. After giving 9 years at Amazon and IMDb, he started Sundog Software in 2012 which focuses on the VR environment and teaches big data analysis.

Syllabus:

  • Statistics, probability, and python
  • Models
  • Using python for machine learning
  • Techniques of data mining and machine learning
  • Real-world and big data
  • Experimental designs
  • Deep learning and neural networks
Course Rating 4.5/5
Instructor Rating 4.5/5
No. of Students Enrolled 116,000+

 

  1. Data Science and Machine Learning Bootcamp with R

If you hope to become a data scientist, then you should be knowing everything about machine learning. However, if you are yet to learn it, it’s OK. This is because this course teaches you from scratch how to create a machine learning model.

About the Tutor:

This course is also by Jose Portilla (refer to point number 2). After finishing his BS and MS in mechanical engineering, he has worked as a professional data scientist as well as an instructor. Moreover, he has publications and patents in data science technology too.

Syllabus:

  • Introduction to data science
  • Installation for Windows macOS and Linux
  • Development environment
  • R matrices, data frames, lists, data input & output, programming, data manipulation, and data visualization
  • Interactive visualizations and capstone project
  • Machine learning with R
  • Linear and logistic regression
  • K nearest neighbors and clustering
  • Decision trees, random forests and vector machines
  • Natural language processing and neural nets
Course Rating 4.6/5
Instructor Rating 4.5/5
No. of Students Enrolled 50,000+

 

  1. Scala and Spark for Big Data and Machine Learning

If you have basic knowledge of programming, then you can learn machine learning using Scala and Spark. This is one of the 5 online courses on machine learning where you’ll learn a different programming language to create the models.

About the Tutor:

This is the 3rd course by Jose Portilla on this list. Among the 29 online courses he has, 3 are for machine learning, all of which are present on this list. If you wish to know more about him, then you can view his profile here.

Syllabus:

  • Introduction to Scala IDE and installation in Windows, macOS, and Linux
  • Programming, collections and Spark data frames with Scala
  • Starting with machine learning
  • Regression, classification, clustering, PCA and data bricks with Spark
  • Model evaluation
Course Rating 4.4/5
Instructor Rating 4.5/5
No. of Students Enrolled 22,000+

 

Why Learn Machine Learning Online?

Usually, online courses are taken up for machine learning for the following reasons:

  • Perhaps, you need greater understanding or polishing in the field.
  • Gaining extra special certifications along with degrees in computer science provide a competitive edge.
  • Your age doesn’t count in online education. Hence, if you’ve been a data scientist for a lot of years and machine learning is a new concept for you, then online courses are more feasible.

Online education platforms are filled with courses on various subjects. They are a lot more helpful to professionals who wish to learn while they’re still working.

Suppose, you’ve been working as a software developer and now wish to start your own company, as a science student you might need more knowledge of the business.

Instead of availing a full-time MBA at the age of probably 35, you can avail an online business course while you’re still planning for your new start-up.

Likewise, as technology advances, you’ll have to cope with it. There are courses on web development that can teach you a language you may want to add to your skillset.

So, which of these machine learning online courses appeal to you the most?

About the author

Shikha Mehta

I discovered my talent in writing while I was in high school. Since then, I discovered the joy of sharing your knowledge with people around you. This is the reason why I love making my contributions to Insights of Technology. Being a certified content writer, I have been writing on several topics, science & technology being one of my favorites.

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