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.

Finland is offering a techy Christmas gift to European Union citizens -- a free-of-charge online course in artificial intelligence in their own language, officials said Tuesday. The tech-savvy Nordic nation, led by the 34-year-old Prime Minister Sanna Marin, is marking the end of its rotating presidency of the EU at the end of the year with a highly ambitious goal. Instead of handing out the usual ties and scarves to EU officials and journalists, the Finnish government has opted to give practical understanding of AI to 1% of EU citizens, or about 5 million people, through a basic online course by the end of 2021. It is teaming up with the University of Helsinki, Finland's largest and oldest academic institution, and the Finland-based tech consultancy Reaktor. Teemu Roos, a University of Helsinki associate professor in the department of computer science, described the nearly $2 million project as "a civics course in AI" to help EU citizens cope with society's ever-increasing digitalization and the possibilities AI offers in the jobs market.

In this two-day workshop taking place at the National Geospatial-Intelligence Agency (NGA) in Springfield, Va., USGIF and its Machine Learning and Artificial Intelligence Working Group will discuss current challenges and strategic initiatives related to the role of AI, machine learning, cognitive computing, and deep learning. This year's programming features a variety of leading experts from DIA, NGA, NRO, ODNI, OUSD, and industry. Both days are filled with ML AI luminaries from throughout the community including keynotes, panel discussions, exhibits, and flash talks. The first day will be unclassified and the second day will be classified at the TS/SCI/FVEY level.

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."

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Congratulations if you are reading this. That simply means, you have understood the importance of mathematics to truly understand and learn Data Science and Machine Learning. In this course, we will cover right from the foundations of Algebraic Equations, Linear Algebra, Calculus including Gradient using Single and Double order derivatives, Vectors, Matrices, Probability and much more. Without maths, there is no Machine Learning. Machine Learning uses mathematical implementation of the algorithms and without understanding the math behind it is like driving a car without knowing what kind of engine powers it.

In this paper, we propose online algorithms for multiclass classification using partial labels. We propose two variant s of Perceptron called Avg Perceptron and Max Perceptron to deal with the par tial labeled data. We also propose Avg Pegasos and Max Pegasos, whic h are extensions of Pegasos algorithm. We also provide mistake bounds for Avg Perceptron and regret bound for Avg Pegasos. We show the effec tiveness of the proposed approaches by experimenting on various data sets and comparing them with the standard Perceptron and Pegasos.

Finland is offering a hi-tech Christmas gift to all European Union citizens - a free-of-charge online course in artificial intelligence, in their own language, officials said on Tuesday. The tech-savvy Nordic nation, led by the 34-year-old Prime Minister Sanna Marin, is marking the end of its rotating presidency of the EU at the end of the year with a highly ambitious goal. Instead of handing out the usual ties and scarves to EU officials and journalists, the Finnish government has opted to give practical understanding of AI to 1 percent of all EU citizens - about five million people - through a basic online course by the end of 2021. It is teaming up with the University of Helsinki, Finland's largest and oldest academic institution, and the Finland-based tech consultancy Reaktor. Teemu Roos, a University of Helsinki associate professor in the department of computer science, described the nearly $2m project as "a civics course in AI" to help EU citizens cope with society's ever-increasing digitisation and the possibilities AI offers in the jobs market.

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Objects First with Java: A Practical Introduction Using BlueJ, 5e, is ideal for introductory courses in Java/Introduction to Programming and Object-Oriented Programming and for beginning programmers. This is the only introductory programming textbook that uses the BlueJ integrated development environment (IDE) to teach introductory and object-oriented programming principles using Java. Its close integration with the BlueJ development environment allows this book to focus on key aspects of object-oriented software development from day one. BlueJ's clear visualization of classes and objects means that readers can immediately appreciate the differences between them, and gain a much better understanding of the nature of an object than they would from simply reading source code. Unlike traditional textbooks, the chapters are not ordered by language features but by software development concepts.