Its impact is drastic and real: Youtube's AIdriven recommendation system would present sports videos for days if one happens to watch a live baseball game on the platform [1]; email writing becomes much faster with machine learning (ML) based auto-completion [2]; many businesses have adopted natural language processing based chatbots as part of their customer services [3]. AI has also greatly advanced human capabilities in complex decision-making processes ranging from determining how to allocate security resources to protect airports [4] to games such as poker [5] and Go [6]. All such tangible and stunning progress suggests that an "AI summer" is happening. As some put it, "AI is the new electricity" [7]. Meanwhile, in the past decade, an emerging theme in the AI research community is the so-called "AI for social good" (AI4SG): researchers aim at developing AI methods and tools to address problems at the societal level and improve the wellbeing of the society.

What can (and can't) be done with it? How to start creating AI methods? Join the Elements of AI course, online and free, created by Reaktor, an AI and tech partner for modern businesses and the University of Helsinki, the oldest institution of academic education in Finland. The course combines theory with practical exercises and can be completed at your own pace. At the end of the course you will also receive a certificate of participation.

Last year, Finland launched a free online crash course in artificial intelligence with the aim of educating its citizens about the new technology. Now, as a Christmas present to the world, the European nation is making the six week program available for anyone to take. Finland is relinquishing the EU's rotating presidency at the end of the year, and decided to translate its course into every EU language as a gift to citizens. But there aren't any geographical restrictions as to who can take the course, so really it's to the world's benefit. The course certainly proved itself in Finland, with more than 1 percent of the Nordic nation's 5.5 million citizens signing up.

Udemy, the largest online learning source, just published its Udemy for Business 2020 Workplace Learning Trends Report: The Skills of the Future (48 pp., PDF, opt-in). As Forbes noticed, the report claims that it is now key "to prepare workforces for the future of work in an AI-enabled world." The report states that "In the world of finance, investment funds managed by AI and computers account for 35% of America's stock market today," citing a recent article in The Economist, The rise of the financial machines. For their part, in the report, Udemy notes that AI is reshaping the world of work. The organization notes that 65% of the leaders cited that AI and robotics are an important or very important issue in human capital.

This Udacity Nanodegree Program that will help you gain the must-have skills for all aspiring data analysts and data scientists. Explore the end to end process of investigating data through a machine learning lens. Learn to extract and identify useful features that can be used to represent your data in the best form. In addition to this, you will also go over some of the most important ML algorithms and evaluate their performance.

A great technological shift is on the verge of occurring very soon. Disruptive Artificial Intelligence technologies are going to change the world and human labour will be replaced by robot workers and the shift has in-fact started. This mind-blowing course introduces you to the concept of Artificial Intelligence usage in the workplace along with providing you practical examples of the different platforms that deploy the same for automation. You will learn about the numerous Human Resources tools and usage of these in Artificial Intelligence, along with sales-based AI tools that can help you close the deal. You will be also introduced to Virtual chatbots that look like human and do all the automation and support work for you in any industry you are in. We will also look at a particular case study of a company leveraging human robots as receptionists to free up tasks for the real employees.

In this monograph, I introduce the basic concepts of Online Learning through a modern view of Online Convex Optimization. Here, online learning refers to the framework of regret minimization under worst-case assumptions. I present first-order and second-order algorithms for online learning with convex losses, in Euclidean and non-Euclidean settings. All the algorithms are clearly presented as instantiation of Online Mirror Descent or Follow-The-Regularized-Leader and their variants. Particular attention is given to the issue of tuning the parameters of the algorithms and learning in unbounded domains, through adaptive and parameter-free online learning algorithms. Non-convex losses are dealt through convex surrogate losses and through randomization. The bandit setting is also briefly discussed, touching on the problem of adversarial and stochastic multi-armed bandits. These notes do not require prior knowledge of convex analysis and all the required mathematical tools are rigorously explained. Moreover, all the proofs have been carefully chosen to be as simple and as short as possible.

Countless businesses are using AI to revamp their operating models. There are countless benefits of using AI in business. One of the industries that is benefiting from AI the most is the online training industry. The market for AI technology is growing at a record pace. One study estimates it will be worth $169 billion by 2025.

Lectures translation is a case of spoken language translation and there is a lack of publicly available parallel corpora for this purpose. To address this, we examine a language independent framework for parallel corpus mining which is a quick and effective way to mine a parallel corpus from publicly available lectures at Coursera. Our approach determines sentence alignments, relying on machine translation and cosine similarity over continuous-space sentence representations. We also show how to use the resulting corpora in a multistage fine-tuning based domain adaptation for high-quality lectures translation. For Japanese--English lectures translation, we extracted parallel data of approximately 40,000 lines and created development and test sets through manual filtering for benchmarking translation performance. We demonstrate that the mined corpus greatly enhances the quality of translation when used in conjunction with out-of-domain parallel corpora via multistage training. This paper also suggests some guidelines to gather and clean corpora, mine parallel sentences, address noise in the mined data, and create high-quality evaluation splits. For the sake of reproducibility, we will release our code for parallel data creation.

Jennifer Turner's algebra classes were once sleepy affairs and a lot of her students struggled to stay awake. She uses Bakpax, which can read students' handwriting and auto-grade schoolwork, and she assigns lectures for students to watch online while they are at home. Using the program has provided Turner, 41, who teaches at the Gloucester County Christian School in Sewell, N.J., more flexibility in how she teaches, reserving class time for interactive exercises. "The grades for homework have been much better this year because of Bakpax," Turner said. "Students are excited to be in my room, they're telling me they love math, and those are things that I don't normally hear."