Understanding big data and artificial intelligence is not something reserved for computer scientists, said Kirk Borne, principal data scientist for the international consulting firm, Booz Allen Hamilton. Manipulating massive amounts of data that are becoming available will affect every form of intellectual and business pursuit. "Data literacy is a way of thinking, not a thing to think about," Borne told attendees of BDA Edcon, the International Big Data and Analytics Education Conference hosted by University of Maryland University College on June 3 and 4. The conference explored how the convergence of big data analytics, artificial intelligence and cognitive computing can be implemented into teaching and learning experiences today to meet industry demand. The two-day event included the final judging and presentation of awards for the annual Global Analytics Competition. Data literacy is "a way of business, a way of doing whatever we do in the world. It really is for everyone, not just for data scientists," according to Borne.

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Disney's ESPN has chosen not to broadcast a recent video-game competition -- one that features gun violence -- in the wake of last weekend's mass shootings in Texas and Ohio, according to a person familiar with the plans. ESPN is delaying its planned Aug. 10 broadcast of a recent tournament for Apex Legends, a popular battle royale game made by publisher Electronic Arts Inc., the person said, asking not to be identified as the matter is internal. The decision comes in the wake of the two shootings that prompted politicians, including President Donald Trump, to say video games that glorify violence could be contributing to the country's shooting epidemic. ESPN2 will air the taped segment on three nights in October, according to the person. It will still be available this weekend on ESPN's digital channels, including its app.

thinking is important for becoming smarter and have the ability to solve problems. Are you an abstract thinker? If not, it's time to change this situation. Good problem-solving skills and logical reasoning skills is your top priority now. Machine learning revolves around finding patterns in data.

Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning. This program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets. It is a myth that to become a data scientist you need a Ph.D.

Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems? In this course, you will get hands-on experience with machine learning from a series of practical case-studies. At the end of the first course you will have studied how to predict house prices based on house-level features, analyze sentiment from user reviews, retrieve documents of interest, recommend products, and search for images.

This theory is supported by a new survey conducted by Northeastern University and Gallup that reveals an international cross-section of opinions about artificial intelligence as economies around the world undergo the transformative move to automation. The poll shows that the majority of people in the United States, Canada, and the United Kingdom think that artificial intelligence will improve their lives, but they believe that higher education, government, and employers are not doing enough to improve their skills.

Reinforcement learning algorithms, though successful, tend to over-fit to training environments hampering their application to the real-world. This paper proposes WR$^{2}$L; a robust reinforcement learning algorithm with significant robust performance on low and high-dimensional control tasks. Our method formalises robust reinforcement learning as a novel min-max game with a Wasserstein constraint for a correct and convergent solver. Apart from the formulation, we also propose an efficient and scalable solver following a novel zero-order optimisation method that we believe can be useful to numerical optimisation in general. We contribute both theoretically and empirically. On the theory side, we prove that WR$^{2}$L converges to a stationary point in the general setting of continuous state and action spaces. Empirically, we demonstrate significant gains compared to standard and robust state-of-the-art algorithms on high-dimensional MuJuCo environments.

From using a simple web cam to identify objects to training a network in the cloud, these resources will help you take advantage of all MATLAB has to offer for deep learning.

As companies ramp up hiring to develop AI, workers agree they need retraining for today's in-demand skills. At the same time, global workers -- particularly Americans -- say going back to school is no longer a feasible option, according to a survey by Northeastern University and Gallup. Just 1 in 4 Americans are confident that the higher education system is doing enough to address the need for career-long learning and retraining. Tuition costs are the biggest deterrent, followed by academic programs that aren't keeping up with an evolving workplace environment, according to the survey. Adults have even less confidence in the government's ability to prepare the public for the latest technological revolution.