Machine Learning

Artificial Intelligence Impacts: Kaiesh Vohra

Kaiesh Vohra, who earned a first class honours degree in Artificial Intelligence and Computer Science from University of Edinburg, is going to talk to you about artificial intelligence, its societal impact, why it’s important, why you should know about it, and why you should be trying to get involved with it.. “I like this image particularly.. Because it evokes one of a very uncomfortable sensation. Because it’s something which we’re

Machine Learning APIs by Example: Sara Robinson

Think your business could make use of Google’s machine learning expertise when it comes to powering and improving your business applications, but do you get stuck on building and training your own custom model? Google Cloud Platform (GCP) offers five APIs: Google Cloud Vision API, Cloud Speech API, Cloud Natural Language API, Cloud Translation API and Cloud Video API. These APIs access pre-trained machine learning models with a single API

What Is Deep Learning?

Deep learning is a machine learning technique that learns features and tasks directly from data. This data can include images, text, or sound. The video uses an example image recognition problem to illustrate how deep learning algorithms learn to classify input images into appropriate categories. Lastly, the video explores the three reasons why deep learning has surged in popularity over the last five years. Learn about the differences between deep

Best Introduction to Machine Learning

Best introduction to Machine Learning with practical examples and  moving away from jargon.. Machine learning is a method of data analysis that automates analytical model building. Using algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being explicitly programmed where to look. “It was machine learning that enabled AlphaGo to whip itself into world-champion-beating shape by playing against itself millions of times” — Demis Hassabis, Founder

Architecting Predictive Algorithms for Machine Learning

Machine learning is one of the newest tools in a Data Scientist’s arsenal. In this session, you will learn key architectural principles and frameworks for creating practical approaches to solving the prediction problem. Interactive demonstration of various popular machine learning algorithms based on these principles and frameworks will be included.

Deep Learning From A to Z

From the Basics of Machine Learning to Understanding TensorFlow Internals with Raphael Gontijo Lopes.. Machine Learning Data has high-level features Some of those features are called labels You can extract those features and labels from data using classifiers Machine Learning is how computers learn to do this (train classifiers) Supervised Learning is ML where you learn from labeled data Neural Networks Data is composed of attributes Labels can be extracted

Deploying Machine Learning Applications in the Enterprise: Peter Norvig

Peter Norvig is talking about Deploying machine learning applications in the Enterprise. Director of Research at Google Inc., Peter Norvig is a reference in terms of Machine Learning. He’s always looking at the world to re-build it, playing with programs and applications that nowadays have a dominant role in our world. “The world is made of lines” and we can draw anything with it, manually or numerically.  More companies are

Three Ways Machine Learning Shapes Customer Experience

When it comes to customer experience, most machines just aren’t very smart. Every day, customers around the world are suggested products to buy or use that have little or no application to their lives and for which they aren’t a customer. It is frustrating to get recommendations for items you would never actually purchase. Blake Morgan is the author of “More Is More: How The Best Companies Work Harder And

Introduction to Deep Learning and Self-Driving Cars from MIT

It doesn’t matter if you are beginner or new to machine learning or advanced researcher in the field of deep learning methods and their application, everybody can benefit of Lex Fridman’s course on Deep Learning for Self-Driving Cars. If you are interested in this course, you can go to  http://selfdrivingcars.mit.edu/  and Register an account on the site to stay up-to-date. The material for the course is free and open to the

What is Machine Learning?

The goals of AI is to create a machine which can mimic a human mind and to do that it needs learning capabilities. But how does machine learning work? Technically speaking, machine learning is all about testing, testing, testing. It starts with training data and then it applies predictions to what you might like. When you make a predicted selection, your answer is so noted. Machine learning is a subfield