As the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for IT professionals and data-scientists. The scikit-learn library is one of the most popular platforms for everyday Machine Learning and data science because it is built upon Python, a fully featured programming language. This comprehensive 2-in-1 course is a comprehensive, practical guide to master the basics and learn from real-life applications of machine learning. Learn how to build and evaluate the performance of efficient models using scikit-learn. This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.
Udacity's School of Artificial Intelligence has officially opened our new Deep Reinforcement Learning Nanodegree program for enrollment, and in doing so, we have completed a whirlwind effort that began at Intersect back in March of this year, when our School of AI was officially unveiled to the world: Today, anyone interested in entering the incredible world of Artificial Intelligence has the opportunity to do so, through the learning portal that is our School of AI. Upon arrival to the school's home page, you are prompted by a simple question: It's actually not that simple a question, of course, but we strive to make it so by offering you clear paths to pursue, depending on your current skills and experience, and your ultimate objectives. Whether you're new to the field, or already a working professional, we offer you a point-of-entry. Whether you want to work at a company focused on AI, or bring new AI techniques to a company that can benefit from them, we offer tailored curriculum to support your journey. Perhaps you're simply a future-minded thinker who sees where the world is headed, and you want to start planning ahead by adding valuable skills to your toolkit now.
Some 70 percent of companies claim they're using a form of artificial intelligence (A.I.), according to a new report by Constellation Research. That includes machine learning, deep learning, natural language processing, and cognitive computing. But while companies are interested in what A.I. can potentially do for them, many aren't willing to invest massive amounts of money in the endeavor. Some 92 percent of respondents reported overall A.I. budgets of less than $5 million, with 52 percent paying less than $1 million. However, most plan to increase their A.I.-related spending over the next year.
Jeff Maggioncalda was recently named CEO of Coursera. I have interviewed both founders of the company, Andrew Ng and Daphne Koller, so I was curious about Maggioncalda's perspective on the company, education technology and the massive open online courses more generally, and his own background as an entrepreneur. Regarding the last point, Maggioncalda was previously the CEO of Financial Engines Inc, a company co-founded by economist and Nobel Prize winner William Sharpe and recently sold for $3 billion. During his 18 years as CEO of Financial Engines Inc, Maggioncalda had to pivot three times from his original idea before becoming a success. Financial Engines would go on to beocme the largest independent online retirement advice platform with more than $100b under management.
Artificial intelligence could be heading to Australian classrooms -- and in schools overseas, it's already there. In Bahia, Brazil, 15-year-old students David and Roama from Colegio Perfil often start their school day at home, or on the bus. They pick up their phones, log into the education app Geekie Lab, and begin their classes from wherever they are. "You can access it everywhere, as long as you have your phone with you," David said. Students from Colegio Perfil in Bahia use phones or computers to access the Geekie app.
In 2012, upon discovering that the number of students wanting to study IT at the University of Cambridge had dwindled dramatically, Eben Upton began brainstorming for a gimmick to increase the number of enrollees. So he came up with the Raspberry Pi. The $35-a-pop minicomputer became an instant hit, sold like hotcakes worldwide, and has prompted the rise of amateur inventors. Innovative projects like voice-activated coffee machines, bow-tie spy cams, and humanoid robots were all spawned by that tiny piece of machinery. And you, too, could get in on the game and start a slew of your own creative projects with the Raspberry Pi.
Artificial intelligence could be heading to Australian classrooms -- and in schools overseas, it's already there. In Bahia, Brazil, 15-year-old students David and Roama from Colegio Perfil often start their school day at home, or on the bus. They pick up their phones, log into the education app Geekie Lab, and begin their classes from wherever they are. "You can access it everywhere, as long as you have your phone with you," David said.
Our oceans are in trouble. Climate change, plastic waste and overfishing are all causing tremendous damage to underwater life around the world. Inspired by the BBC's Blue Planet II series, developer E-Line Media is making a video game that focuses on the scientists who are trying to understand our impact. It's called Beyond Blue and will put you in charge of a research team with stunning technology designed to unlock new insights about the sea. Your task is simply to gather information and learn what you can about these fast-changing, human-made threats to the sea.
Software Engineer - Machine Learning at Bolt San Francisco, California, United States (Posted Jun 2 2018) About the company Welcome to a new era of ecommerce: Amazon-like checkout. What We Do: End-to-End Payment Processing Hyper-Optimized Checkout 100% Fraud Coverage Clear Insights & Analytics What Does that Mean for Merchants? Happier customers who repeat buy No more fraudulent chargebacks Zero order review overhead Full performance transparency Payments completely handled A single dashboard for business analytics 24/7 premium support Job position Permanent Job description Payment infrastructure on the internet is fragmented and broken. Bolt is building a future where sending payments is as easy as sending messages. To do this, we've redesigned payments from the ground up.