Tagged: Machine Learning Month

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Free Online Data Science Course

If free books on machine learning aren’t enough for you, Open Source Society University has a free online course on Data Science. Here’s a quick snapshot of the curriculum: Linear Algebra Single Variable Calculus Multivariable Calculus Python Probability and Statistics with R Introduction to Data Science Machine Learning Project Convex...

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Free Books on Machine Learning and More

What better way to close out Machine Learning Month than with a list of free, open source books on Machine Learning and related topics like AI, statistics, data-mining and more? Joseph Misiti has compiled such a list and posted it to GitHub. To see the entire list, click the link....

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Cortana Intelligence Competition Women’s Health Risk Assessment

Earlier this month, I recorded a video with the Cortana Intelligence Competition team about the Decoding Brainwaves competition. As Machine Learning Month draws to a close, I’m happy to share that there’s a new competition opening up regarding women’s health. This tutorial video below will help you get started.

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Applying Deep Learning to Real-World Problems

Deep Learning is a new field of Machine Learning research. Its objective is to move Machine Learning closer to Artificial Intelligence. Jennifer Marsman talks to Sonja Knoll and take a deep dive into Deep Learning, as well as apply some real-world scenarios for you to experiment on your own.

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Constructing and Using Decision Trees

Join Jennifer Marsman as she welcomes Dr. Sheila Tejada as they discuss how to construct and use Decision Trees in your machine learning algorithms. If you’re wondering what Decision Trees are, they are machine learning algorithms that are great tools for helping you to choose between several courses of action....

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Jen Stirrup on Machine Learning

In this session from UK TechDays Online, Jen Stirrup uses conference swag to explain data and machine learning. She also looks at modeling techniques in Analytics using R to understanding why statistical learning is important for analytics today.  

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Bing Predicts: Sporting Events

In this episode, Jennifer Marsman sits down and talks with Kushal Lakhotia and Walter Sun about the machine learning that powers Bing’s predictions of who will win sporting matches like the NCAA March Madness tournament, the NBA playoffs, the NFL season, Wimbledon, the Cricket World Cup, the English Premier League,...

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Enhancing Your Mobile Application with Machine Learning

In this session from Xamarin Evolve 2016, John Pelak combines Microsoft’s recently announced Cognitive Services and Machine Learning capabilities with Xamarin’s acclaimed development technologies. This opens a new world of possibilities for developers building intelligent mobile applications that will deliver delightful, intelligent, user-experiences.

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Probabilistic Programming the Future of Machine Learning?

Here’s an interesting video from Microsoft Research about probabilistic programming. What is probabilistic programming, you ask? Read the video description for a quick background and watch. Probabilistic programming gives us a powerful and flexible way to express such machine-learning problems. It uses the rich expressivity of modern programming languages to...