What the Amazon founder and CEO wants for his empire and himself, and what that means for the rest of us. Where in the pantheon of American commercial titans does Jeffrey Bezos belong? Andrew Carnegie's hearths forged the steel that became the skeleton of the railroad and the city. John D. Rockefeller refined 90 percent of American oil, which supplied the pre-electric nation with light. Bill Gates created a program that was considered a prerequisite for turning on a computer. At 55, Bezos has never dominated a major market as thoroughly as any of these forebears, and while he is presently the richest man on the planet, he has less wealth than Gates did at his zenith. Yet Rockefeller largely contented himself with oil wells, pump stations, and railcars; Gates's fortune depended on an operating system. The scope of the empire the founder and CEO of Amazon has built is wider. Indeed, it is without precedent in the long history of American capitalism. More product searches are conducted ...

For well over 100 years, researchers have labored tirelessly to understand how humans learn and remember. The resulting scientific literature is impressive, both in its scope and its depth. In fact, so much is now known that I doubt that any human could read and absorb all that has been written on the subject. The sad irony, though, is that it's often not obvious how to use the findings of all of this research in educational settings. Using the science of learning to improve education starts with identifying some general principles.

TED talks are known to empower us with knowledge and allow us a peak into how smart people think. There has been a huge hype around AI for a few years now and yet, most of us are not sure about what this new technology can do for us? Most often than not we are in fear of the negative impact it can have on our lives. This is due to the ambiguity that surrounds AI. Will it take over my job?

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Interviews at tech companies start with questions that probe for good algorithm thinking. In this computer science course, you will learn how to think about algorithms and create them using sorting techniques such as quick sort and merge sort, and searching algorithms, median finding, and order statistics. The course progresses with Numerical, String, and Geometric algorithms like Polynomial Multiplication, Matrix Operations, GCD, Pattern Matching, Subsequences, Sweep, and Convex Hull. It concludes with graph algorithms like shortest path and spanning tree.

Amazon's Alexa assistant recently learned to speak new languages globally: Hindi, U.S. Spanish, and Brazilian Portuguese. Synthetic data aided substantially in this, explained Amazon senior manager for research science Janet Slifka in a post on the Alexa blog this morning, but it wasn't the end-all-be-all solution. They required new bootstrapping tools. One of the tools in question was developed by Amazon's Alexa AI Applied Modeling and Data Science group, and it uses a technique called grammar induction to analyze so-called golden utterances (i.e., canonical examples of customer requests proposed by Alexa feature teams) and produce a series of expressions that can generate similar sentences. The other -- guided resampling -- creates novel sentences by recombining words and phrases from examples in the available data, with an emphasis on optimizing the volume and distribution of the sentence types.

Autumn is as good a season to learn natural language processing as any other, and why not do so with quality, free online courses? This is a collection of just such free, quality online NLP courses, from such esteemed institutions of learning as Stanford, Oxford, University of Washington, and UC Berkeley. There are also offerings from independent sources like Yandex Data School, and even a short practical course on spaCy by one of its creators and co-founder of the company which steers its development. So whether you are looking for theoretical or practical, or are a beginner or an advanced learner, the content included herein won't fail on living up to the promise of being 10 free top notch natural language processing courses. So dig in and learn NLP today.

Conversational interfaces have gone mainstream. The technology behind keeps crossing new milestones, the result of which chatbots have transformed from simple Q&A systems to intelligent personal assistants. As a result, bots found widespread application in diverse areas, most recently in education. Although education stayed backward in terms of technology adoption, lately it took on a renewed quest to incorporate it. Educators are on the lookout for innovative ed-tech systems for efficient tutoring and students increasingly prefer personalized learning environments.

Editor's Note: In today's fast-paced news cycle, we know it's difficult to keep up with the latest and greatest HR trends and stories. To make sure you're updated, we're recapping the most popular trends, events and conversations every month in our "In Case You Missed It" series. Each year, the HR Tech Conference gathers HR experts and professionals to discuss how companies can use technology to drive more successful programs and improve the talent experience. At this year's conference, speakers placed more focus on artificial intelligence, machine learning and data analytics, and how these emerging technologies can optimize HR, recruiting and diversity programs. The conference also touched upon more recent trends like virtual reality and revealed how this technology can be used to train and engage today's workforce. In case you missed it, we've compiled the top trends from HR Tech.

This live classroom course is new for 2018! It focuses on the newest technologies of Microsoft Machine Learning Server and SQL Server 2017. This 2-day course introduces the most important concepts and Tools, and should be followed by the 3-day course: Intermediate Machine Learning in R on SQL Server and Microsoft ML Server. If you have attended a prior course on Machine Learning, like Rafals week-long class Practical Data Science course offered in 2015-2017, and if you are versed in model validity, accuracy, and reliability, then you should consider attending the Intermediate course only. Ask yourself these questions: Can I explain the difference between cross-validation and hold-out testing?