I found that the best way to discover and get a handle on the basic concepts in machine learning is to review the introduction chapters to machine learning textbooks and to watch the videos from the first model in online courses. Pedro Domingos is a lecturer and professor on machine learning at the University of Washing and author of a new book titled "The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World". Domingos has a free course on machine learning online at courser titled appropriately "Machine Learning". The videos for each module can be previewed on Coursera any time. In this post you will discover the basic concepts of machine learning summarized from Week One of Domingos' Machine Learning course.

The data science automation specialist DataRobot Inc. is gaining traction in the big data market for its machine-learning application as new investors like Intel Capital fund its expanding operations. Boston-based DataRobot has so far raised more than 57 million in four equity investment rounds, including a 33 million funding round completed in February. Along with Intel Capital, Recruit Strategic Partners joined the startup's fourth funding round as new investors. The company's machine-learning platform runs either on top of Hadoop as a cloud application or running on-premises. The startup founded in 2012 by CEO Jerry Achin and CTO Thomas DeGodoy targets its platform at data scientists with varying skill levels. Along with speeding the deployment of more accurate predictive models, the company said it is attempting to address the critical shortage of qualified data scientists while "changing the speed and economics of predictive analytics."

WIRE)--Accenture (NYSE:ACN) is expanding its machine learning and operations analytics capabilities by acquiring OPS Rules, a boutique analytics consulting company that specializes in the application of data science to create supply chain and operations analytics solutions. When the acquisition is completed, Accenture will add new operations analytics professionals to its team that apply machine learning and optimization techniques to develop fresh and innovative analytics approaches for clients across many industries. Terms of the transaction were not disclosed. Founded in 2012, OPS Rules has offices in Waltham, Massachusetts and Richardson, Texas. OPS Rules is led by David Simchi-Levi, a Professor of Engineering Systems at the Massachusetts Institute of Technology (MIT) and renowned supply chain and operations analytics expert.

Subaru and IBM Japan have announced the two companies are exploring collaboration in the development of a data analytics system for test images from the advanced safety system including output from EyeSight. It uses cloud and artificial intelligence (AI) technologies in the advanced driver assist system segment. Working together with IBM Japan, Subaru developed a system that integrates and comprehensively manages vast amounts of test image data. The system has been in operation starting this month. This will allow Subaru engineers to easily search for and analyze needed test images.

For years, machine learning has been used for image, video, and text recognition, as well as serving as the power behind recommendation engines. Today, it's being used to fortify cybersecurity, ensure public safety, and improve medical outcomes. It can also help improve customer service and make automobiles safer. "Machine learning allows you to look at volumes of data and do volumes of calculations that a person really can't do," said Lisa Dolev, founder and CEO of operational intelligence solutions provider Qylur, in an interview. Machine learning can identify patterns that humans tend to overlook or may be unable to find as fast in vast amounts of data.

If your mind instantly went to Skynet, I can put your mind at ease; it's not Skynet. That's not, however, to say that this problem isn't just as scary, only without the cool special effects. While Sci-Fi has made the risks of robot takeover well-known, the more immediate concerns are the subtle decisions being made by (sometimes) poorly coded, or designed, algorithms that can drastically alter each of our lives. Our biggest ever edition of TNW Conference is fast approaching! The Obama administration published a report this week that examines problems associated with the shift to an increasingly automated world.

One of the brains behind Apple's iconic digital assistant Siri, Dag Kittlaus, took to the stage today at TechCrunch Disrupt NYC to show off his new project, Viv -- an AI assistant that aims to be "the intelligent interface for everything." "Will it be warmer than 70-degrees near the Golden Gate Bridge after 5pm the day after tomorrow?" Our biggest ever edition of TNW Conference is fast approaching! Viv delivered the answer in a matter of seconds, and correctly handled numerous oddly specific questions that followed, as well as ordering flowers, sending money as payment for drinks the previous night and even booking a hotel in under 60 seconds. Throughout the demo, the AI assistant demonstrated a profound understanding of context and intent as Kittlaus rapid-fired commands in natural language.

Close on the heels of Amazon's Alexa-powered devices, which can answer health-related questions, Lybrate has empowered its Facebook Messenger chatbot to answer health queries. Users of Lybrate in India will be able to get health advice and tips from the online platform's chatbot. "It is exciting to be India's first healthcare company to be on Messenger Platform and be able to provide smooth doctor access to people and enable them to consume health information that is shared by doctors who have amassed a wealth of medical knowledge over so many years. It is one more step towards letting people in the country be more serious about their health," noted Saurabh Arora, Lybrate's CEO and Founder. Lybrate is essentially an online-based doctor consultation platform that has now protracted its offerings to the popular messaging service from Facebook.

Here are this week's top stories in fraud and big data technology: Thanks to its huge network of users, Sprint has access to vast amounts of user data. Three years ago it established subsidiary Pinsight Media to investigate ways of capitalizing on that data. Since then it has gone from serving zero to six billion ad impressions per months, based on "authenticated first party data" which it alone has access to. The fact that plain passwords are no longer safe to protect our digital identities is no secret. For years, the use of two-factor authentication (2FA) and multi-factor authentication (MFA) as a means to ensure online account security and prevent fraud has been a hot topic of discussion.

Researchers recently demonstrated how an informatics-based adaptive design strategy, tightly coupled to experiments, can accelerate the discovery of new materials with targeted properties, according to a recent paper published in Nature Communications. "What we've done is show that, starting with a relatively small data set of well-controlled experiments, it is possible to iteratively guide subsequent experiments toward finding the material with the desired target," said Turab Lookman, a physicist and materials scientist in the Physics of Condensed Matter and Complex Systems group at Los Alamos National Laboratory. Lookman is the principal investigator of the research project. "Finding new materials has traditionally been guided by intuition and trial and error," said Lookman."But with increasing chemical complexity, the combination possibilities become too large for trial-and-error approaches to be practical." To address this, Lookman, along with his colleagues at Los Alamos and the State Key Laboratory for Mechanical Behavior of Materials in China, employed machine learning to speed up the process.