Andrew Ng is chief scientist of Baidu, chairman and cofounder of Coursera, and a computer science faculty member at Stanford. His AI work focuses on deep learning, which develops learning algorithms by building large-scale simulations of the brain. In 2011, he founded and led the Google Brain project, which built the largest deep-learning (neural network) systems at the time, leading to the celebrated "Google cat" result. His team's technology has also had a huge impact across numerous Google applications, including speech recognition, maps, and more. Ng currently leads Baidu Research in developing the next generation of deep-learning algorithms.

Anthony Goldbloom is cofounder and CEO of Kaggle, a platform for machine-learning competitions. Almost 500,000 of the world's top data scientists compete on Kaggle to solve important problems for industry, government, and academia. Kaggle has catalyzed breakthroughs in areas ranging from automated essay grading to automated disease diagnosis from medical images. Before cofounding Kaggle in 2010, Anthony was an econometrician at the Australian treasury. In 2013 MIT Technology Review named him one of 35 top innovators under the age of 35.

Ten years ago, Justin Kan and Emmett Shear had just sold their app company, Kiko, and were itching for another venture. They had a concept -- livestream video -- but no idea how to build it. So they sent an email to the MIT engineering listserv, requesting a "hardware hacker" for an unspecified project. Kyle Vogt, a young student fascinated with robotics, replied. They met over coffee where Kan and Shear pitched their idea before flying out to San Francisco.

Ashok Goel wants to expand high-quality education to "millions" more people over the internet. It's the same goal that's pushed universities to make more and more courses and degree programs available over the internet, making it possible for students living on the far sides of the word to get degrees from American universities -- and vice versa. But online education has a problem: Of the hordes of students that sign up for massive open online classes (MOOCs), an average of less than 7% finish. Goel thinks artificial intelligence can change that. "There are many reasons" students don't finish, he told Tech Insider.

Ashok Goel wants to expand high-quality education to "millions" more people over the internet. It's the same goal that's pushed universities to make more and more courses and degree programs available over the internet, making it possible for students living on the far sides of the word to get degrees from American universities -- and vice versa. But online education has a problem: Of the hordes of students that sign up for massive open online classes (MOOCs), an average of less than 7% finish. Goel thinks artificial intelligence can change that. "There are many reasons" students don't finish, he told Tech Insider.

Google, Amazon, and Facebook are just a few companies investing heavily in machine learning – the branch of AI that allows the tech companies' computers to learn information on their own that they weren't programmed to know. Google, for example, uses its own TensorFlow machine learning systems for its Google Translate speech recognition app, Google Photos, Gmail, and its Web searches. And as these companies dive further into machine learning, they're building their own complex computers using graphics processing units (GPUs) to power them – and that could be particularly beneficial for NVIDIA. NVIDIA makes some of the most popular GPUs for gaming, but the hardware is increasingly finding its way into supercomputers. Facebook already uses NVIDIA's Tesla M40 GPU accelerators to help power its Big Sur machine learning computers.

Since the best-selling first edition was published, there have been several prominent developments in the field of machine learning, including the increasing work on the statistical interpretations of machine learning algorithms. Unfortunately, computer science students without a strong statistical background often find it hard to get started in this area. Remedying this deficiency, Machine Learning: An Algorithmic Perspective, Second Edition helps students understand the algorithms of machine learning. It puts them on a path toward mastering the relevant mathematics and statistics as well as the necessary programming and experimentation. Suitable for both an introductory one-semester course and more advanced courses, the text strongly encourages students to practice with the code.

By 2020, more than five million jobs are expected to be lost to robots and artificial intelligence. And in the next two decades, graduates will be going into jobs that don't yet exist. Anticipating this future, businesses and employers are overhauling their recruitment strategies. Job hopping has replaced the one job, one-employer career, and hybrid jobs are on the rise. Employers want recruits who have strong technical and soft skills such as empathy and flexibility.

Los Angeles, California – Indie developer and computer vision engineer, Mustafa Jaber, is pleased to announce the release of Capture Caption Lite, an AI-based app developed for iOS and Android devices. With the Capture Caption app, users can snap a photo with their smartphone or iPad and artificial intelligence will generate a word cloud using cutting-edge computer technology. These word clouds can be then downloaded to the user's image library and shared across multiple social media platforms. The brainchild of electrical engineer and image processing expert Mustafa Jaber, the app uses an artificial intelligence platform that derives information from images. This program understands the content of any image by using powerful machine-learning models, which can quickly classify images into thousands of categories.

This week's top Machine Learning stories, including robots to drive your car, diagnose your medical images, pick up your mess, and more! Machine Learning is one of the most exciting fields in the world. Every week we discover something new, something amazing, something revolutionary. It's incredible, but it can also be overwhelming. That's why we created This Week in Machine Learning!