Learn Machine Learning


What does it mean for machines to learn?  In this section, learn how computers can utilize a mathematical model and a set of sample data to make informed decisions about new incoming data.  This very popular topic is in high demand from employers these days, and the applications for machine learning continue to mulitply.  

We have 10 resources for learning Machine Learning including educational Online Classes, Kindle & Other eBooks, and Books, from providers such as University of Washington, Amazon Web Services, Wesleyan University, and Johns Hopkins University.


$47

Data Mining: Practical Machine Learning Tools and Techniques

High School - College | Book, ebook/Kindle

Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects Offers concrete tips and techniques for...

Free

Machine Learning Capstone: An Intelligent Application with Deep Learning


College | Online class

About this Course Have you ever wondered how a product recommender is built? How you can infer the underlying sentiment from reviews? How you can extract information from images to find...

Free
Paid add-ons

Machine Learning: Classification


High School - College | Online class

Case Studies: Analyzing Sentiment & Loan Default Prediction In our case study on analyzing sentiment, you will create models that predict a class (positive/negative sentiment) from input...

Free

Machine Learning - Data Scientist Path


College | Online class

This path is designed for learners skilled in math, statistics, and analysis who want become machine learning (ML) subject matter experts within their organization. Progress through fundamental,...

Free

Machine Learning - Developer Path


High School - College | Online class

This path is designed for builders and software developers who want to use machine learning (ML) and artificial intelligence (AI) to better partner with data scientists and innovate with machine...

Free

Machine Learning for Data Analysis


College | Online class

Are you interested in predicting future outcomes using your data? This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to...

Free

Machine Learning Foundations: A Case Study Approach


College | Online class

Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with...

Free

Machine Learning: Recommender Systems & Dimensionality Reduction


College | Online class

About this Course Case Study: Recommending Products How does Amazon recommend products you might be interested in purchasing? How does Netflix decide which movies or TV shows you might want to...

Free
Paid add-ons

Machine Learning: Regression


High School - College | Online class

Case Study – Predicting Housing Prices In our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number...

Free
Paid add-ons

Practical Machine Learning


High School - College | Online class

One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and applying prediction...

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Frequently Asked Questions

What's the best way to learn Machine Learning?

The best learning resource is the one that you will stick with. For some students, that means a resource that's fun and engaging like a mobile or PC game. For others it's a resource that lets them learn on their own time, like a mobile app or YouTube channel. For other students, it's a resource that emphasizes reinforcement, such as a workbook or set of printable worksheets. The best way to figure out what is right for you is to look at a wide range of resources, keeping your selection criteria in mind. Search our database of 10 resources for learning Machine Learning.

What should I consider when choosing a learning resource for Machine Learning?

Think about what is going to help you continue with the resource and actually complete it. Primary considerations should be:

  • Time commitment - how much time can you spend with this resource per day/week?
  • Portability - will you be studying at home or in other places, such as on the bus or after school?
  • Reinforcement learning - does the resource offer reinforcement? Think about whether you'll want exercises or printable worksheets to help you practice what you learned.
  • Price - does the resource require a monthly subscription? This may be fine for topics you can learn in a month or two, but it may be prohibitively expensive otherwise.
Search our database of 10 resources for learning Machine Learning.

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