Statistical learning and related methods are necessary to work in data science. This textbook is designed to help anyone and everyone, from an undergraduate to a Ph.D. student, understand the concepts. Of course, it also offers a great selection of R labs and practices, with detailed explanations and walkthroughs. The idea is that you can use it as a direct resource while practicing data science, especially during the educational phase. Plus, it's a great resource to have around and look back at regularly. The concepts and information are practical for daily applications.

We investigate properties of ABA+, a formalism that extends the well studied structured argumentation formalism Assumption-Based Argumentation (ABA) with a preference handling mechanism. In particular, we establish desirable properties that ABA+ semantics exhibit. These pave way to the satisfaction by ABA+ of some (arguably) desirable principles of preference handling in argumentation and nonmonotonic reasoning, as well as non-monotonic inference properties of ABA+ under various semantics.

On this webcast, participants will hear from industry experts as they discuss Artificial Intelligence and Machine Learning applications for Supply Chain. Participants will learn: •How will machine learning and artificial intelligence transform the supply chain of the future? Is the business domains ready for such transformation?

A one-day seminar that lays the foundation to enable you to take advantage of AI and IoT data, building upon familiar computing paradigms such as programming, operational systems, databases, analytics and Business Intelligence. With the enormous growth of Big Data, especially from Internet of Things (IoT) devices, now is the time to start planning for and building skills and infrastructure in Artificial Intelligence (AI) and IoT to take advantage of new technologies in support of Decision Making in your business. Artificial Intelligence has had a long and chequered history. Multiple periods of over-optimism have been followed by "AI Winters" since the 1950s. AI has come of age and is being embedded in mainstream technology from cars to call centres, and smartphones to IT systems, enabled in large part by IoT.

Learn how to utilize some of the most valuable tech skills on the market today, Scala and Spark! In this course we will show you how to use Scala and Spark to analyze Big Data. Scala and Spark are two of the most in demand skills right now, and with this course you can learn them quickly and easily! This course comes with full projects for you including topics such as analyzing financial data or using machine learning to classify Ecommerce customer behavior! We teach the latest methodologies of Spark 2.0 so you can learn how to use SparkSQL, Spark DataFrames, and Spark's MLlib!

We're working with Booz Allen Hamilton to help the U.S. federal government apply deep learning techniques to key challenges in healthcare, defense and cybersecurity. Certified Deep Learning Institute instructors from NVIDIA and Booz Allen will provide hands-on training to federal customers across a variety of government agencies to build deep learning and data-driven solutions that are needed in the field. "The Deep Learning Institute has developed industry-leading curricula with the world's leading AI experts, and we deliver that in hands-on classes taught by certified instructors," said Greg Estes, vice president of Developer Programs at NVIDIA. "By working together with Booz Allen Hamilton, we will train specialists and data scientists to help tackle complex challenges that confront the federal government in healthcare, cybersecurity and other important areas." "Deep learning and AI-first approaches are critical to every federal agency. Booz Allen and NVIDIA working together to meet the demand of the federal government for training and applying deep learning techniques will further innovation," said Dr. Josh Sullivan, a senior vice president who leads Booz Allen's data science capabilities.

Modern AI (aka #MachineIntelligence) is changing the way people work and interact with growing acceptance of AI-powered applications for analytics, marketing & sales automation, customer service, human resources, risk intelligence, and much more where user experience is also shaped by AI. VC money is flowing into AI startups but the bar has now raised by established players who have increasingly acquired talent and open sourced software to protect vested interests including bloated organizations and software stacks. In this webinar Steve Ardire, AI startup advisor, will share experiences and lessons learned on how AI startups with terrific product/market fit and smart tactical execution can compete and win against status quo players.

Be a Technology Creator Today!!! Discover the scientist in you. Are you excited to create something immediately without getting into too much subject theory which bores you? Then you have landed at the right course. Research has shown that theoretical learning leads to decrease in interest in the subject and is one of the biggest hindrances to learn new things or new Technology. That's why we have created a course for every body where you start building applications and learn theory along with it.

This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.

So we've talked a lot in this series about how computers fetch and display data, but how do they make decisions on this data? From spam filters and self-driving cars, to cutting edge medical diagnosis and real-time language translation, there has been an increasing need for our computers to learn from data and apply that knowledge to make predictions and decisions. This is the heart of machine learning which sits inside the more ambitious goal of artificial intelligence. We may be a long way from self-aware computers that think just like us, but with advancements in deep learning and artificial neural networks our computers are becoming more powerful than ever. Want to know more about Carrie Anne? https://about.me/carrieannephilbin