Spark Notes is a recurring series about the lightbulb moments in sexual development. My parents were both readers, and they didn't let us watch that much TV. By the time I was 11, books had been my primary source of entertainment for as far back as my memory could go. Getting my adult library card in sixth grade was, in that context, a milestone of tremendous importance, a first moment of awe at being inducted into the grown-up world. Wandering into the adult stacks for the first time, I remember seeing the name Asimov in the "A" section in huge letters across dozens of titles, and taking two or three of them down to check them out.
A foundation in statistics is required to be effective as a machine learning practitioner. The book "All of Statistics" was written specifically to provide a foundation in probability and statistics for computer science undergraduates that may have an interest in data mining and machine learning. As such, it is often recommended as a book to machine learning practitioners interested in expanding their understanding of statistics. All of Statistics for Machine Learning Photo by Chris Sorge, some rights reserved. The book "All of Statistics: A Concise Course in Statistical Inference" was written by Larry Wasserman and released in 2004.
The education ministry plans to establish a system that allows students at some 50 high schools to take university courses and earn credits, with the aim of developing human resources in view of expected advances in artificial intelligence technologies. Advanced differential equation, data mining and other subjects in the mathematics and science fields will be covered by the planned version of the advanced placement system, which is used in the United States and other countries, according to ministry officials. The ministry is set to choose at least one high school from each of Japan's 47 prefectures over the next decade or so for the program. The planned initiative was included in a report compiled by a ministry panel discussing education policies for coming generations. Through the system, the ministry hopes to allow highly motivated high school students with excellent academic performances to receive even higher levels of education after they advance to university.
With the rapid pace of innovation continually disrupting business models, and in many cases entire industries, how will online learning keep up to provide the relevant courseware for today's and tomorrow's workforce? This will be essential for economic growth and to support a thriving, college-educated workforce that's equipped with the very latest knowledge, ideas and technology. In the future, I believe that institutions at the forefront of online education will be recognized via several capabilities which will have digitally transformed today's EdTech market. They will include a powerful combination of omni-channel learning pathways, cognitive courseware, virtual counselors and AI-enabled course development and grading. These innovations, underpinned by artificial intelligence (AI), will help to provide students the ultimate choice in their courseware – including up-to-the-minute courses on high-interest/high-growth subject matter – as well as highly-innovative digital services that support them every step of the way to help maximize their success and personal objectives.
Brandman University is taking a new approach to adult education, focusing on student competencies and work experience rather than transcripts when deciding which students to admit and when they graduate. Brandman already is working with companies, including Walmart and Discover, to offer employee-education programs. The Irvine, California-based nonprofit university accepts subject matter expertise and experience as course credit, making it easier for working adults to earn college degrees and advance their careers. At most conventional colleges, students must fulfill prerequisite courses to earn admission and a set of required courses to earn a degree. Under the Brandman approach, if an applicant has, say, a 20-year career in finance but no formal coursework in finance, "she can now test out of many course requirements, simply by proving her mastery through standard assessments, writing samples, even work projects," says the university's chief financial officer.
Artificial intelligence is already reshaping society as we know it in both business and consumer realms. Early use cases with Alexa, autonomous vehicles and AI-driven supply chains provide just a glimpse of the disruption that AI is poised to deliver in the near future and for years to come. Yet despite all the AI hype and initial successes, it remains in its infancy. That makes now the ideal time for young people to build the knowledge, skill sets and connections they need to capitalize on the fast-growing market for AI jobs and build a strong AI career. One reason is simply practical.
It seems Christmas is coming early this year for social scientists. That's because just months after Harvard's Gary King wrote an academic paper about a system that would allow researchers to access the massive data troves held by Facebook and other private companies, it is set to become a reality. Along with collaborator Nathaniel Persily at Stanford University, King, the Albert J. Weatherhead III University Professor, created an organization called Social Science One that will lead the effort to identify data inside Facebook, prepare it for researchers, and fund numerous scholars to analyze the data. The organization is today making available for research the first of what King says will be many data sets, more than half a trillion numbers that include every link clicked by Facebook users in the last year, information on the types of people who clicked, and indicators of whether links were judged to be intentionally false news stories. "As social scientists, our goal is to understand and solve the greatest challenges that affect human society," King said.
There are lots of education options available online, provided you're a self-starter with the discipline to do a lot of coursework on your own. For example, Microsoft's AI School offers a variety of lessons for developers in everything from text analytics and object recognition to custom neural-network models. The content is angled toward data scientists and developers, and heavily emphasizes the use of Microsoft products (of course) in addition to "universal" A.I. skills. It's also free, although those who want Verified Certificates will need to pay a fee. Microsoft, of course, is far from your only option when it comes to learning about A.I. online, particularly with regard to beginner-level material.