Schedule: 6:00 - 6:30 Mix and mingle 6:30 - 6:40 Announcements 6:40 - 6:50 Lightning Talk 6:50 - 7:30 Talk Night: Jason Kessler 7:30 - 7:40 QA 7:40 - 8:00 More networking Scattertext is a Python library for visualizing how words, phrases, topics and other linguistic units are associated with a category of text. This talk will cover different techniques for visualizing term-associations, visualizing both automatically generated and preexisting topics, and techniques to visualize word embeddings on a two-dimensional scatterplot. We'll work through notebooks which will be available at Source code for the package is hosted on Github at https://github.com/JasonKessler Prior to joining CDK, Jason was the founding data scientist at PlaceIQ and worked as a research scientist for JD Power and Associates. He has published peer-reviewed papers on algorithms and corpora for sentiment and belief analysis, and has sat on program committees and reviewed for several AI and NLP conferences.

AI is an area of computer science dedicated to creating software that can be taught to perform complex procedures. What makes AI "intelligent" is that it can learn new behaviours, improve performance as more experience is gained, and make decisions and predictions based on available data. The algorithms at the core of some AI systems are trained using the large datasets that are now available thanks to the "big data" revolution. It is the intelligent capabilities of AI systems that allow for the automation of tasks that until now required human judgement to deliver. There is enormous potential for how AI can benefit the developing world and what it can contribute towards achieving the UN's Sustainable Development Goals: AI can play a crucial role in augmenting healthcare capacity by filling gaps in human expertise, increasing productivity, and enhancing disease surveillance.

Uncertainty computation in deep learning is essential to design robust and reliable systems. Variational inference (VI) is a promising approach for such computation, but requires more effort to implement and execute compared to maximum-likelihood methods. In this paper, we propose new natural-gradient algorithms to reduce such efforts for Gaussian mean-field VI. Our algorithms can be implemented within the Adam optimizer by perturbing the network weights during gradient evaluations, and uncertainty estimates can be cheaply obtained by using the vector that adapts the learning rate. This requires lower memory, computation, and implementation effort than existing VI methods, while obtaining uncertainty estimates of comparable quality. Our empirical results confirm this and further suggest that the weight-perturbation in our algorithm could be useful for exploration in reinforcement learning and stochastic optimization.

Many data mining tasks cannot be completely addressed by automated processes, such as sentiment analysis and image classification. Crowdsourcing is an effective way to harness the human cognitive ability to process these machine-hard tasks. Thanks to public crowdsourcing platforms, e.g., Amazon Mechanical Turk and CrowdFlower, we can easily involve hundreds of thousands of ordinary workers (i.e., the crowd) to address these machine-hard tasks. In this tutorial, we will survey and synthesize a wide spectrum of existing studies on crowd-powered data mining. We first give an overview of crowdsourcing, and then summarize the fundamental techniques, including quality control, cost control, and latency control, which must be considered in crowdsourced data mining. Next we review crowd-powered data mining operations, including classification, clustering, pattern mining, outlier detection, knowledge base construction and enrichment. Finally, we provide the emerging challenges in crowdsourced data mining.

In addition to awarding Bachelors, Masters and Ph.D. degrees, the Allen School recognized two 2018 Alumni Impact Award recipients, Yaw Anokwa and Eileen Bjorkman.

Reliance Industries Limited today said it has completed an acquisition of close to 73 percent stake in artificial intelligence-based education technology provider Embibe. "RIL, Embibe and the other stakeholders have completed all the closing conditions and have successfully completed the sale and purchase of the shareholding of the existing investors in Embibe to RIL. With this transaction, RIL will hold 72.69 percent (on fully diluted basis) in Embibe," RIL said in a BSE filing. RIL in April had announced that it has entered into agreements to acquire close to 73 percent stake in education technology provider Individual Learning Private Ltd (Embibe) and plans to invest USD 180 million into the company over the next three years. Embibe will use the capital over the next three years towards deepening its R&D on AI in education, as well as business growth and geographic expansion, catering to students across K-12, higher education, professional skilling, vernacular languages and all curriculum categories across India and internationally.

Bill Gates, captured on April 19, 2018 in Berlin, Germany. Tech titans have a long history of making book recommendations. In 2015, Mark Zuckerberg launched a book club via Facebook, noting a must-read every two weeks. The year opened with Moisés Naím's The End of Power: From Boardrooms to Battlefields and Churches to States, Why Being In Charge Isn't What It Used to Be and closed out with David Deutsch's The Beginning of Infinity: Explanations that Transform the World; in between were titles on racism, genetics, religion, medicine, and sociology, and a smattering of science fiction novels. Jeff Bezos, owner of "bookstore killer" Amazon, had a book list on the platform in 2013 that included a variety of entrepreneur-focused books, like the iconic The Innovators Dilemma by Clayton Christensen and Built to Last: Successful Habits of Visionary Companies by Jim Collins.

Get your team access to Udemy's top 2,500 courses anytime, anywhere. This course is a workshop on logistic regression using R.

According to the "Unlocking the Economic Impact of Digital Transformation in Asia Pacific" conducted by Microsoft and IDC, it was found that 79% of jobs in Hong Kong will be transformed in the next three years, 60% of which will be redeployed to higher value roles, or reskilled to meet the need of the digital age. With the growing importance of Data Science, Big Data and AI in different industries, we launched the new Microsoft AI Certification Programme in March with different tracks covering AI, Big Data, and Data Science to enable IT and business professionals to get equipped with future-ready skill sets for career development in this competitive job market. Moreover, we are extending our support to University Students by organizing free AI workshops to understand the concept and impact of AI in real-life applications. The first workshop of our Microsoft AI Workshop Series was held at The Hong Kong Polytechnic University (PolyU), with overwhelming attendance of more than 160 students participating with engaged conversations and follow-up questions on the AI Certification Programme. Following the success of our first Microsoft AI Workshop at PolyU, we have continued the series at Hong Kong University of Science and Technology (HKUST) and The Chinese University of Hong Kong (CUHK), which attracted a record-high of 200 and 230 attendees for each session. Students were interested to learn more about AI use-cases and our different tracks in our AI Certification Programme.

Google has released its AI policy for the first time since the company started working on this technology. The new policy will govern applications and other services under Google's domain that use Artificial Intelligence to get work done. The company's chief Sundar Pichai, released a detailed document about the objective of the applications that will use AI as a tool. At the same time, the document also mentions the objectives that AI applications won't pursue to restrict the use of the technology. However, Google went on to confirm that they will continue to work with government bodies and military.