Finding the Best Machine Learning Courses for You
Machine learning is a branch of computer science and artificial intelligence that automates analytical model building. It is based on the belief that systems can learn from data, identify patterns and make decisions with minimal human intervention. As models are exposed to new data, they are able to independently adapt, learning from previous computations and creating reliable and repeatable results.
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Machine learning is not a new discipline. Companies like Google, Netflix and Facebook all use machine learning models to innovate. Web developers, scientists and data scientists may all use machine learning.
Machine learning courses, both online and in person, can help everyone from beginners to advanced users further their careers. Learn more about the best machine learning online courses.
What Is a Machine Learning Course?
Machine learning courses offer everything from the fundamentals of machine learning to advanced practices and statistical modeling. There are machine learning online courses for most people who are interested, from beginners to experts. Many machine learning courses are available online for free, meaning there’s little barrier to learning more about this valuable field.
Online machine learning courses
Below are some machine learning courses available online. Machine learning fundamentals courses offer an introduction to machine learning and its basic principles, such as data mining and statistical pattern recognition. Courses will likely include theoretical and practical instruction, so you can learn some basics of implementing machine learning techniques.
While machine learning is often used by data scientists, it can also help many professionals and businesses. Courses for machine learning in business provide an understanding the advantages, limitations and scope of machine learning from a management perspective. Machine learning can be used in business to streamline decision-making, analyze data and reduce errors when processing large amounts of data.
Deep learning courses are advanced and teach students how to run supervised, semi-supervised and unsupervised learning.
Much like how humans process information and then communicate through a biological neural network, deep learning algorithms can process huge amounts of data, then take those datasets and find essential meanings. Deep learning allows the user to develop broader and more in-depth solutions, as opposed to task-specific solutions like in traditional machine learning.
University | Format | Degree Type | Enrollment Type | Study Length |
---|---|---|---|---|
London School of Economics SPONSORED | Online | Short Course | Self-paced | 8 weeks |
Google AI | Online | Short Course | Full-Time | 15 hours |
Udemy | Online | Short Course | Full-Time and Part-Time | Less than 6 weeks |
University of California, Berkeley SPONSORED | Online | Short Course | Part-Time | 6 weeks |
Udemy | Online | Short Course | Full-Time and Part-Time | Less than 6 weeks |
Sundog Education by Frank Kane | Online | Short Course | Full-Time and Part-Time | Less than 6 weeks |
Massachusetts Institute of Technology | Online | Short Course | Self-paced | One Week |
What Is the Difference Between Artificial Intelligence and Machine Learning?
The terms machine learning, artificial intelligence and deep learning are often thrown around interchangeably, but they are all distinct disciplines and techniques. Artificial intelligence is the science of training machines to perform human tasks, whereas machine learning is a subset of artificial intelligence that instructs a machine how to learn.
Artificial intelligence is the broadest term to describe advanced computer intelligence. According to the Brookings Institution, AI is thought to refer to machines that “respond to stimulation consistent with traditional responses” like humans, while taking into account humans’ ability for contemplation, judgment and intention.” An example would be IBM’s Deep Blue, which beat chess grandmaster Garry Kasparov at the game in 1996. Deep Blue relied on rule-based artificial intelligence: If a player did X, the next move should be Y.
Machine learning is a subfield of artificial intelligence. According to O’reilly, the core principle is that machines take data and “learn” for themselves. Google DeepMind’s AlphaGo, which in 2016 beat Lee Sedol at Go, extrapolated the strategy of the game by studying a large dataset of expert moves. This was a form of machine learning.
How Can I Enhance My Career With a Machine Learning Course?
Machine learning is useful for businesses because it reduces work and room for error. There are a number of careers that deal with machine learning, including:
- Machine learning engineers
- Data scientist
- Natural language processing scientists
- Business intelligence developers
- Human-centered machine learning designers
Many businesses can benefit from the analysis and interpretation of large amounts of data. Machine learning may provide valuable insights in your current business or open new career paths at other organizations.
University of California, Berkeley
School of Information
Machine Learning
Berkeley, California
London School of Economics
LSE Machine Learning: Practical Applications
London, United Kingdom
This online technical course from the LSE provides a practical approach to machine learning in modern business analytics. Throughout the course, you’ll analyze real-world problems as you apply machine learning models in R, interpret the predictions, and evaluate the results.
Enrollment Type: Self-paced
Length of Program: 8 weeks
Credits: N/A
Google AI
Machine Learning Crash Course
Name of Degree: Machine Learning Crash Course
Enrollment Type: Full-Time
Length of Program: 15 hours
Credits: N/A
Concentrations: N/AAdmission Requirements:
- Algebra
- Statistics
- Calculus
- Python Programming
Udemy
Python & R In Data Science
Name of Degree: Python & R In Data Science
Enrollment Type: Full-Time and Part-Time
Length of Program: Less than 6 weeks
Credits: N/A
Concentrations: N/AAdmission Requirements:
- High school mathematics
Udemy
Artificial Intelligence & Machine Learning
Name of Degree: Artificial Intelligence & Machine Learning
Enrollment Type: Full-Time and Part-Time
Length of Program: Less than 6 weeks
Credits: N/A
Concentrations: N/ASundog Education by Frank Kane
Data Science and Deep Learning
Name of Degree: Data Science and Deep Learning
Enrollment Type: Full-Time and Part-Time
Length of Program: Less than 6 weeks
Credits: N/A
Concentrations: N/AAdmission Requirements:
- Desktop computer (Windows, Mac, or Linux) capable of running Anaconda 3 or newer.
- Prior coding or scripting experience is required.
- High school level math skills will be required.
Massachusetts Institute of Technology
Introduction to Deep Learning
Cambridge, Massachusetts
Name of Degree: Introduction to Deep Learning
Enrollment Type: Self-paced
Length of Program: One Week
Credits: N/A
Concentrations: N/ALast updated: July 2020