When people talk about artificial intelligence, they usually don't mean supervised and unsupervised machine learning. These tasks are pretty trivial compared to what we think of AIs doing - playing chess and Go, driving cars, and beating video games at a superhuman level. Reinforcement learning has recently become popular for doing all of that and more. Much like deep learning, a lot of the theory was discovered in the 70s and 80s but it hasn't been until recently that we've been able to observe first hand the amazing results that are possible. In 2016 we saw Google's AlphaGo beat the world Champion in Go.

Note: This tutorial requires Xcode 9 Beta 1 or later, Swift 4 and iOS 11. Machine learning is all the rage. Many have heard about it, but few know what it is. This iOS machine learning tutorial will introduce you to Core ML and Vision, two brand-new frameworks introduced in iOS 11. Specifically, you'll learn how to use these new APIs with the Places205-GoogLeNet model to classify the scene of an image.

Learn machine learning for free, because free is better than not-free. This website is inspired by the datasciencemasters/go and open-source-cs-degree Github pages. This one is specifically for machine learning and features textbooks, textbook-length lecture notes, and similar materials found with a simple google search. This repository is meant as a general guide and resource for a free education. Note: Please report any broken links as an issue on the Github page.

Chintu, the robot, slowly sat down on the floor, with both hands resting on its knees. Then, on command, it stood up, using one hand for support. The 58-centimetre-tall robot, manufactured by Softbank Robotics of France and owned by Maharashtra Institute of Technology (MIT), Pune, was one of the attractions of IBM Cloud Forum, a jamboree of companies using IBM's cloud and machine learning (ML) solutions in the last week of May in Mumbai. Alongside Chintu were its guardians -- Astitva Shah and Krishnamohan M, final-year engineering students from MIT, Pune. The duo have been working on a project to develop Chintu as an assistant for elderly people who are living alone.

The age of touch could soon come to an end. From smartphones and smartwatches, to home devices, in-car systems, touch is no longer the primary user interface. During this talk, Christophe, Principal Consultant at GraphAware will walk you through the design of building Conversational Bots. To this end, he used Amazon Alexa and combined it with a Natural Language Processing stack backed by a Neo4j Graph Database. You will discover the basics of an Amazon Alexa skill and how the user experience with voice devices can be enhanced with graph based algorithms such as recommendations.

A new program called Project Icarus is teaching kids how to build drones, while at the same time helping them grow in STEM fields, which focus in science, technology, engineering and mathematics. Project Icarus, launched by the Texas-based Flynoceros Racing Drones, is a workshop that not only allows kids to build drones, but also teaches them how to fix and fly them. This is different from drone kits bought at stores that don't show users how repair them. Seven-year-old Ava builds her drone at a Project Icarus workshop. Although parents can buy a drone kit at a retail store, those products are sometimes cheap and can break easily after crashing.

This course is about the fundamental concepts of machine learning, focusing on neural networks, SVM and decision trees. These topics are getting very hot nowadays because these learning algorithms can be used in several fields from software engineering to investment banking. Learning algorithms can recognize patterns which can help detect cancer for example or we may construct algorithms that can have a very very good guess about stock prices movement in the market. In each section we will talk about the theoretical background for all of these algorithms then we are going to implement these problems together. The first chapter is about regression: very easy yet very powerful and widely used machine learning technique.

As a machine learning & AI engineer, you would: - Develop of server-side applications using machine learning and artificial intelligence techniques. Benefits: - Be able to work in an international creative environment, have the opportunity to develop personal capacity with competitive salary.

Machine learning is transforming many areas of computer science. From natural language processing and search to computer music, many systems that were once made with symbolic systems are now hybrids of symbolic and statistical machinery. This shift presents new challenges and opportunities for learning about computer science, for studying learning about computing, and for collaborating with researchers from other education research disciplines. In this workshop, we will collaboratively define a research agenda for CS Education Research on the topic of machine learning. Participants will give brief presentations about the ideas in their position papers (see below), then form groups to discuss and further develop related ideas.

Every new technology goes through an adoption cycle, either in a society or inside one particular organization. Whether the process goes smoothly or not, depends on company's readiness to accept radical change. The transformation may seem complicated and unclear at first. However, it becomes substantially easier to adapt to change pursuing a number of preconditioned rules. InData Labs experts have a lot of experience and many years of practice in guiding companies within different industries through the process of AI-transformation.