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Explore machine learning and cognitive computing resources, and build artificial intelligence functions into your app.

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A beginner’s guide to artificial intelligence, machine learning, and cognitive computing

Explore some of the important aspects of AI and its subfields.

Deep learning architectures

Explore five of the most popular deep learning architectures, then take a look at open source software options for deep learning.

Models for machine learning

Explore the ideas behind machine learning models and take a look at some key algorithms used for each.

Speaking out loud

An introduction to natural language processing.

Recurrent neural networks deep dive

Take a look at recurrent neural networks and learn how they represent a foundational architecture for the future.

Train a software agent to behave rationally with reinforcement learning

Explore reinforcement learning, some problem areas to which you can apply it, and get a demonstration of the technology by using a simple simulation.

Unsupervised learning for data classification

Look at the ideas behind unsupervised learning and its applications, and then get an illustration of these ideas in the context of exploring data.

Supervised learning models

Explore some supervised learning approaches such as support vector machines and probabilistic classifiers.

Videos, webcasts, and more

Follow along as experts explain artificial intelligence technology.



Latest content

Weaving patterns with artificial intelligence, Part 1: Letter correlation and simple language statistics for AI

Learn how to gather statistics from a source text as a first step toward having a machine generate text that would be familiar to the reader of the source text.

Easily build a chatbot with Watson technologies

Build sophisticated chatbots by combining the natural language understanding and conversational capabilities of the Watson platform.

Supervised learning models

Explore some supervised learning approaches such as support vector machines and probabilistic classifiers.

See all cognitive tutorials.



Meet the community

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Blogs

AI Listens, Watches and Reads the Masters Golf Tournament Action – Content Distribution

IBM iX and Corporate team project members include: Brian Adams, Aaron Baughman, Karen Eickemeyer, Monica Ellingson, Stephen Hammer, Eythan Holladay, John Kent, William Padget, David Provan, Karl Schaffer, Andy Wismar + This content is part 4 of the 4 part series that describes AI Highlights at the Masters Golf Tournament. Part 1 – Introduction Part...

Continue reading AI Listens, Watches and Reads the Masters Golf Tournament Action – Content Distribution

AI Listens, Watches and Reads the Masters Golf Tournament Action – Ranked Highlights

IBM iX and Corporate team project members include: Brian Adams, Aaron Baughman, Karen Eickemeyer, Monica Ellingson, Stephen Hammer, Eythan Holladay, John Kent, William Padget, David Provan, Karl Schaffer, Andy Wismar + This content is part 3 of the 4-part series that describes AI Highlights at the Masters Golf Tournament. Part 1 – Introduction Part 2...

Continue reading AI Listens, Watches and Reads the Masters Golf Tournament Action – Ranked Highlights

AI Listens, Watches and Reads the Masters Golf Tournament Action – Shot Detection

IBM iX and Corporate team project members include: Brian Adams, Aaron Baughman, Karen Eickemeyer, Monica Ellingson, Stephen Hammer, Eythan Holladay, John Kent, William Padget, David Provan, Karl Schaffer, Andy Wismar + This content is part 2 of the 4 part series that describes AI Highlights at the Masters Golf Tournament. Part 1 – Introduction Part...

Continue reading AI Listens, Watches and Reads the Masters Golf Tournament Action – Shot Detection

See all artificial intelligence blog posts