In this episode, we'll write a basic pipeline for supervised learning with just 12 lines of code. Then, we'll work on our intuition for what it means to "learn" from data. Check out TensorFlow Playground: http://goo.gl/cv7Dq5 New! Follow @random_forests for updates on new episodes.

IBM's Watson project has always been about putting the power of data science into the hands of the masses. Today, IBM are announcing another step towards that vision, with the launch of the Watson Data Platform. The incredible potential for driving efficiency and change with Big Data and advanced analytics – as well as all the associated technologies such as machine learning, the Internet of Things, and predictive modelling – is so great, it should be available to everyone. Not just those who have spent years in college studying the fundamental mathematical and statistical systems under the hood of today's analytics toolsets. Big Data is about ideas, and empowering people to use technology to bring those ideas to life.

Paxata today announced it has raised 33.5 million to bolster the machine learning and semantic analysis foundations of its enterprise information platform. Led by Intel Capital, today's investment is Paxata's fourth funding round and brings its total capital raised to 61.5 million. Paxata's platform provides a self-service, visual approach for information management to large corporations. "We target the one billion people in the enterprise who know how to use Microsoft Excel and want to use data to make business decisions," said Nenshad Bardoliwalla, cofounder and chief product officer of Paxata, at the Intel Capital Global Summit. According to Bardoliwalla, Paxata helps those who need fast access to meaningful data without having to write code or learn to use Hadoop. Called AnswerSets, the company's product connects big data analytics to the operational applications used by business analysts, chief data officers, and IT managers.

AliveCor, the leader in FDA-cleared mobile electrocardiogram (ECG) technology for mobile devices, announced a collaboration with Mayo Clinic to utilize AliveCor's unique measurement technology to unlock previously hidden health indicators in ECG readings. These indicators have the potential to not only improve heart health but also overall health care for a variety of conditions. AliveCor provides the first consumer-ready, clinically validated and FDA-cleared ECG to give patients a more complete view of their heart health, improve proactive monitoring and create a new standard of cardiac care. By using AliveCor's deep machine learning capabilities applied to 10 million of its user ECG recordings, Mayo Clinic and AliveCor will work together to uncover hidden physiological signals to improve heart and overall human health. "Mayo Clinic has pioneered new approaches that may uncover significant measures of physiology that have been hidden in individuals' ECGs," said Vic Gundotra, CEO, AliveCor.

OpenAI Gym is a open-source Python toolkit for developing and comparing reinforcement learning algorithms. This R package is a wrapper for the OpenAI Gym API, and enables access to an ever-growing variety of environments. If you encounter a clear bug, please file a minimal reproducible example on github.

Data Scientists live and breathe data. We choose the best tools for that task from a vast array of ever changing tools. We turn data into information, information into discovered knowledge, and through wisdom the discovered knowledge is turned into intelligent action. Our tool suites include many open source software products. In this session we will review the foundations for today's Data Scientist's skill set, introducing the concepts behind machine learning, data mining, analytics and data science and the open source tool suite that has served us well over the past two decades.

Chatbots are ready to succeed. If you think you've to hack days or even weeks to create a chatbot, you might be wrong. You don't have to be aware of any coding skills. Immediately after big players like Facebook Messenger or Skype have opened their platform for programmers many tools emerged. With this article I want to give you an introduction to mockup and overview of different tools to build your first chatbot. You want to show your use case?

BT has announced that it will be replacing its famous and much-revered red boxes with new kiosks. Those kiosks won't allow people to hide in them, but will otherwise offer the modern version of phonebox technology – super fast Wi-Fi, free calls and chargers for phones, instead of traditional handsets. The new kiosks will start opening up on major high streets in London from next year. They'll eventually roll out to the rest of the country – though there'll be fewer of them than there are traditional phone boxes. Amy Rimmer, Research Engineer at Jaguar Land Rover, demonstrates the car manufacturer's Advanced Highway Assist in a Range Rover, which drives the vehicle, overtakes and can detect vehicles in the blind spot, during the first demonstrations of the UK Autodrive Project at HORIBA MIRA Proving Ground in Nuneaton, Warwickshire Chris Burbridge, Autonomous Driving Software Engineer for Tata Motors European Technical Centre, demonstrates the car manufacturer's GLOSA V2X functionality, which is connected to the traffic lights and shares information with the driver, during the first demonstrations of the UK Autodrive Project at HORIBA MIRA Proving Ground in Nuneaton, Warwickshire In its facilities, JAXA develop satellites and analyse their observation data, train astronauts for utilization in the Japanese Experiment Module'Kibo' of the International Space Station (ISS) and develop launch vehicles The robot developed by Seed Solutions sings and dances to the music during the Japan Robot Week 2016 at Tokyo Big Sight.

Corporate giants like Google, Facebook, and IBM are collectively investing billions of dollars in artificial intelligence (AI), bringing together some of the world's brightest minds who claim that new techniques can create machines that think independently and creatively. So with all this effort, money, and hype, where are the smart robots in our society? Where are the AI assistants, co-workers, and companions? Where are all the cool droids and humanoids that science fiction promised us? In order to build AIs with human-like intelligence--AIs who can interact socially, who are able to work with us to achieve goals, and who are behaviorally and intellectually similar to beloved characters from Star Trek and Star Wars--we must first create one fundamental feature almost entirely missing from their current design.

Abstract: A key goal of computer vision is to recover the underlying 3D structure from 2D observations of the world. In this paper we learn strong deep generative models of 3D structures, and recover these structures from 3D and 2D images via probabilistic inference. We demonstrate high-quality samples and report log-likelihoods on several... Read More