Enroll in the course for free at: https://bigdatauniversity.com/courses... Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This free Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning. This Machine Learning with Python course dives into the basics of machine learning using an approachable, and well-known, programming language. You'll learn about Supervised vs Unsupervised Learning, look into how Statistical Modeling relates to Machine Learning, and do a comparison of each. Look at real-life examples of Machine learning and how it affects society in ways you may not have guessed!

If you want to become the world's first person to have a net worth with 12 zeros -- or $1 trillion -- Mark Cuban says artificial intelligence is your industry. Cuban, a billionaire entrepreneur and owner of the Dallas Mavericks, spoke at the SXSW festival in Austin, Texas this past weekend, claiming AI held untold wealth for anyone clever enough to tap its true potential. "I am telling you, the world's first trillionaires are going to come from somebody who masters AI and all its derivatives and applies it in ways we never thought of," Cuban said. The person closest to becoming a trillionaire, at least according to public financial records, is Bill Gates, although he is still about $915 billion short of the title. Some research suggests Gates will become the first trillionaire by the mid-2040s just by virtue of his accumulating wealth.

Kim Stanley Robinson, one of the grandmasters of modern science fiction, released a new book on March 14: New York 2140. It's a sprawling adventure story/political drama/slice of life story set in New York City after climate change sends sea levels surging more than 50 feet--drowning Lower Manhattan and transforming a city of gridlike streets into a city of canals, a Super-Venice. We spoke extensively with Robinson about the book--check it out here. But we also spoke with the esteemed author about his last book, Aurora, and the big ideas behind it--from the present state and near future of space travel to what could happen when humanity does reach the stars. Aurora is set a hearty seven centuries or so from now, on an interstellar colony ship heading toward Tau Ceti. Heavily rooted in real science and realistic future science, the book takes a dramatic turn halfway through--one that left many SF fans gasping.

Research and Markets has announced the addition of the "Global Neural Network Software Market (2016-2022)" report to their offering. Neural network software is used in stimulating, researching, developing, and applying artificial neural networks to a wide array of adaptive systems such as artificial intelligence and machine learning. Neural network simulators are software applications used in stimulating the behavior of artificial or biological neural networks, with a focus on one or a limited number of specific types of neural networks. The most common type of neural network software historically was use in researching neural network structures and algorithms. The neural network software market is witnessing rapid growth due to increasing need for data archiving tools in order to organize the data generated from varied end user sectors.

A Microsoft Research team has created a competition using Project Malmo, a platform that uses Minecraft as a testing ground for advanced artificial intelligence research. The team is challenging PhD students to develop an AI that learns to collaborate with other randomly assigned players to achieve a high score in a mini-game within the virtual world. The field of collaborative AI research involves the development of technologies that work with, empower and augment human capabilities. The ability to collaborate is key to the development of a general AI that can mimic the nuanced and complex way humans learn and make decisions. Such an AI would represent an evolution from task-specific AI technologies that recognize speech, translate languages and caption images.

Information contained on this page is provided by an independent third-party content provider. If you are affiliated with this page and would like it removed please contact pressreleases@franklyinc.com Addition of enterprise-level AI capabilities furthers Genpact's ability to drive digital transformation at speed and scale for clients Genpact (NYSE: G), a global professional services firm focused on delivering digital transformation for clients, has signed a definitive agreement to acquire Rage Frameworks, a leader in knowledge-based automation technology and services providing Artificial Intelligence (AI) for the Enterprise. Terms of the deal are not disclosed. As part of its strategy to drive both digital-led innovation and digital-enabled intelligent operations for its clients, Genpact is investing in leading technologies, such as AI, that are transforming the way companies in many industries compete. Genpact will embed Rage's AI in business operations and apply it to complex enterprise issues to allow clients to generate insights and drive decisions and action, at a scale and speed that humans alone could not achieve.

Pentaho helps data scientists and engineers easily prepare and blend traditional sources like ERP, EAM and big data sources like sensors and social media. Pentaho also accelerates the notoriously difficult and costly task of feature engineering by automating data onboarding, data transformation and data validation in an easy-to-use drag and drop environment. Model training, tuning and testing -- Data scientists often apply trial and error to strike the right balance of complexity, performance and accuracy in their models. With integrations for languages like R and Python, and for machine learning packages like Spark MLlib and Weka, Pentaho allows data scientists to seamlessly train, tune, build and test models faster. Model deployment and operationalization -- a completely trained, tuned and tested machine learning model still needs to be deployed.

Healthcare literature has exploded in the past 30 years. Can artificial intelligence help doctors keep up with what works in healthcare? Microsoft Azure and the Cochrane Transform Project, along with more than 5,000 citizen scientists around the world, are using the cloud, artificial intelligence, and machine learning to analyze hundreds of thousands of reports and clinical trials, speeding up a process from years to mere weeks. This results in faster decisions about which medical interventions work best, all thanks to the intelligent cloud.

For a previous generation in the US, the only places where one might worry about the possibility of a mass casualty were "high-value targets," like airports and government offices, places that have body scanners and bag inspections, security guards and long lines to get in today. But attackers increasingly strike at public places like nightclubs, stadiums, clinics, malls, places of worship and schools. A startup called Evolv Technology Inc., has raised $18 million to help venues with even a limited budget use advanced technology rather than pat downs to detect and prevent mass casualties. Investors in Evolv's new round of funding included General Catalyst, Lux Capital, Gates Ventures, and Data Collective. The Waltham, Mass.-based startup has created both hardware and software for physical security.

Genpact (NYSE:G), a global professional services firm focused on delivering digital transformation for clients, has signed a definitive agreement to acquire Rage Frameworks, a leader in knowledge-based automation technology and services providing Artificial Intelligence (AI) for the Enterprise. Terms of the deal are not disclosed. As part of its strategy to drive both digital-led innovation and digital-enabled intelligent operations for its clients, Genpact is investing in leading technologies, such as AI, that are transforming the way companies in many industries compete. Genpact will embed Rage's AI in business operations and apply it to complex enterprise issues to allow clients to generate insights and drive decisions and action, at a scale and speed that humans alone could not achieve. "As advanced technologies such as AI fundamentally change the definition of work, the ability for CXOs to find and leverage new solutions that combine the best elements of human expertise and machine intelligence, will be critical to their ability to gain and sustain competitive advantage," said NV'Tiger' Tyagarajan, president and CEO, Genpact.