Your parents just signed you up for some fancy Stanford Summer course in Artificial Intelligence. To be honest, you have no idea what Artificial Intelligence is except for robots or something; however, grownups think everything will have AI someday, so you better start learning now. You attend one of the best high schools in your country, and you tested well enough to get into the course, but you wonder whether you'd prefer your summers outside the classroom. On the first day, the instructor loads up a game of Pac-Man and asks if anyone has ever seen this game before. You pine for moments of screen time when you can explore the internet for new and interesting games; however, class time and game time have always been strictly and mutually exclusive.

Perhaps the most amazing ability of humans is the ability to adapt and adopt. In today's world, where disrupters are not just welcomed but are embraced with enthusiasm, the use of artificial intelligence (AI) in businesses is a perfect example of this. The ability to adapt has transformed the 21st-century business environment from the earlier meandering behemoth to a new avatar – vibrant, dynamic, flexible, and most-importantly, technology-driven. Pivotal to this huge transformation has been the employee. Owing to their impact on business metrics, engaged employees are and will always remain the key to a successful enterprise.

How to lean machine learning in python? And what is transfer learning? How to create a sentiment classification algorithm in python? In the world of today and especially tomorrow machine learning will be the driving force of the economy. No matter who you are, an entrepreneur or an employee, and in which industry you are working in, machine learning will be on your agenda.

Law students in the United States usually get a healthy dose of legal technology infused into their educations to prepare them for the future of law practice. Since most legal technology education, research, and innovation tends to happen here, students studying law in foreign countries may be at a disadvantage. One elite law school is trying to make sure its students don't get left behind. China's Peking University Law School has partnered with Gridsum, a cloud-based analytics platform, to create a research center that will focus on how artificial intelligence could be used in China's legal system. Gridsum will provide the technical and research backbone to the center as part of the partnership, drawing in part from AI technology developed for the company's "Faxin Wei Su" tool, a litigation service operating on Chinese communication platform WeChat's micro application platform.

About this course: In this course, application developers learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Prerequisites and Pre-work • Completed Google Cloud Platform Fundamentals or have equivalent experience • Working knowledge of Node.js • Basic proficiency with command-line tools and Linux operating system environments • Previous course(s) in the specialization

Data science and within that, machine learning has seen an explosive uptick in both interest and application in recent years. This has meant that the job market has expanded quickly. With no real sign of slowing demand and a limit to the number of experienced individuals with computer science degrees, the market has been opened up to a diverse set of prospective candidates. Many individuals are moving into the industry from backgrounds such as the sciences, engineering or from engagement with massive open online courses (MOOCs). In fact, Andrew Ng himself recently placed emphasis on taking on interns who had completed his Deep Learning MOOC on Coursea.

In less than five years, artificial intelligence -- AI, as it's commonly known -- has gone from the stuff of science fiction to the forefront of the news, from scientific journals to the strategic plans of the world's biggest companies. It's a coming sea change, one that will disrupt entire parts of our lives by competing with what, until now, was seen as a fundamentally human characteristic: our intelligence. At the same time, he acknowledges that AI -- at least for now -- is "still utterly unintelligent." Recognizing a cat in a picture, a sentence dictated to a smartphone or even a tumor in MRI images is an impressive feat. But the prowess is still limited to very specific uses, Alexandre argues. The real novelty that deep learning had promised to bring about, the futurologist explains, is that machines have now started to learn.

Organizations yearning for digital transformation should take heed, competitors and consultants may steal your digital-savvy employees. That's one finding from the "Constellation Research 2017 Digital Transformation Study" published Oct. 19. The demand for workers that understand how to implement and use big data, IoT, artificial intelligence and synchronous ledger technologies (SLT) and blockchain will only grow. Those who invest in building a digital workforce by cultivating talent and offering a digital training program will keep the talent poachers away, according to Constellation Research report authors Chris Kanaracus, Courtney Sato and R "Ray" Wang. Constellation received 105 responses; 18 percent of which were CEOs, 20 percent lines-of-business managers and 16 percent IT managers.

The welcome was given by University of Pittsburgh President Wesley Posvar. The conference cochairmen, Stellan Ohlsson and Jeff Bonar, also gave brief welcomes to the participants. The relatively small size of the conference, about 425 participants, was undoubtedly in part responsible for the congenial ambiance of the meeting. In addition to the opportunity to reunite with old friends, it was easy to establish new relationships with nearly everyone at the conference. With so many attendees from abroad (The Netherlands, Japan, Canada, West Germany, England, Sweden, France, and Hong Kong were all represented by speakers), the international flavor of the conference was well established.

I was recently talking to a friend of mine who's an accountant. He has his own accounting firm and lives an upper-class lifestyle in the Chicago suburbs. He said he will happily pay for his daughter's college education, provided she won't pursue a degree in accounting. This isn't the first time I've heard a parent say they don't want their child following in their career footsteps; a lawyer recently told me the same thing. And it's not because they feel they've been unsuccessful or that their career was too demanding.