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Stealing 11.5 million documents not so hard

USATODAY - Tech Top Stories

Here are the basics of what the Panama Papers leak is all about. Photo shows the building where the office of Panamanian law firm Mossack Fonseca is located in Panama City, Panama, April 03, 2016. SAN FRANCISCO -- The 11.5 million leaked documents from the Panamanian law firm Mossack Fonseca are providing a treasure trove of data on a hidden world of offshore accounts and murky dealings. "It's becoming much easier than it used to be to store and move very large amounts of data. I would expect this to continue," said John King, a professor of information at the University of Michigan in Ann Arbor, Mich.


Machine Learning Engineer posted by AppThis on DigitalMediaJobsNetwork.com

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AppThis is an international mobile ad tech company focused on the global app ecosystem. Founded in early 2014 by two experienced tech entrepreneurs, AppThis has already delivered over 10 million app installs for global app developers. Our approach is technology and data first with an eye to deliver globally. We are seeking a Machine Learning Engineer to play a key role supporting the growth of the business by developing critical components of our data platform and advertising products. Relocation assistance to our Denver Headquarters is available.


Before AlphaGo there was TD-Gammon -- Jim Fleming

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Check out the Github repo for an implementation of TD-Gammon with TensorFlow. A few weeks ago AlphaGo won a historic tournament playing the game of Go against Lee Sedol, one of the top Go players in the world. Many people have compared AlphaGo to DeepBlue, which won a series of famous chess matches against Gary Kasparov, but a different comparison may be made for the game of backgammon. Before DeepMind tackled playing Atari games or built AlphaGo there was TD-Gammon, the first algorithm to reach an expert level of play in backgammon. Gerald Tesauro published his paper in 1992 describing TD-Gammon as a neural network trained with reinforcement learning.


Theano Question: Looping through tensor โ€ข /r/MachineLearning

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It is using broadcasting - numpy will make the dims match using this (read up on numpy broadcasting if you don't know how that works). Theano behaves in the same way. The downside to the broadcasting approach is that it generally uses a lot of intermediate memory since each 2D MxN matrix becomes MxMxN before then being combined and summed over N to get MxM distance calculations for M datapoints. However, it can be very fast (though I think the trick /u/NasenSpray linked is faster generally) if the intermediate memory usage is acceptable.


Microsoft's 'conversation as a platform' vision underpins digital transformation future

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Microsoft's vision of enterprise mobility and how to improve employee engagement for digital transformation has long been mooted in this publication โ€“ yet at the Redmond giant's Envision conference today, CEO Satya Nadella discussed themes taking the collaboration element a step further. Building on the'conversation as a platform' concept discussed at Build last week, the Microsoft chief exec described how bots and artificial intelligence (AI) could transform business conversations by'taking the human language but applying it much more pervasively to computing'. "Think of bots that you will build as the new websites or mobile apps, and your customers will interact with your business through these bots," he told delegates. "We think it is going to be much more ubiquitous in terms of its deployment." These bots already exist in some contexts; New York-based startup x.ai offers an AI-powered personal assistant called Amy which schedules meetings.


Deep Learning for Computer Vision โ€“ Introduction to Convolution Neural Networks

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The power of artificial intelligence is beyond our imagination. We all know robots have already reached a testing phase in some of the powerful countries of the world. Governments, large companies are spending billions in developing this ultra-intelligence creature. The recent existence of robots have gained attention of many research houses across the world. Does it excite you as well? Personally for me, learning about robots & developments in AI started with a deep curiosity and excitement in me! Let's learn about computer vision today. The earliest research in computer vision started way back in 1950s.


F# for Machine Learning Essentials

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Sudipta Mukherjee was born in Kolkata and migrated to Bangalore. He is an electronics engineer by education and a computer engineer/scientist by profession and passion. He graduated in 2004 with a degree in electronics and communication engineering. He has a keen interest in data structure, algorithms, text processing, natural language processing tools development, programming languages, and machine learning at large. His first book on Data Structure using C has been received quite well.


Leveraging Deep Learning to Improve the Retail Experience

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During the dot-com boom, online clothing sales were predicted to grow to 40% -50% of total sales. Although online sales of some other kinds of merchandise, such as books, have reached 50% of the market in the past 15 years, the percentage of online clothing sales hovers around 20%. The difficulty in finding the correct size and fit is one of the primary reasons that consumers are reluctant to buy clothes online. And their concern is not groundless; sizing varies among clothing manufacturers, and it is difficult to ascertain fit from online images. Consequently, 30%-40% of online clothing purchases are returned.


Toyota partners with Microsoft on new data science company, Toyota Connected - TechRepublic

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On Monday, Toyota launched Toyota Connected, Inc., a new company that will serve to expand the automaker's abilities in data center management, data science, and data management. Toyota Connected is a collaboration between Toyota and Microsoft, as the company will use Microsoft Azure to build and deliver its data-based tools and services. According to a press release announcing the company, the services provided by Toyota Connected will be "predictive, contextual, and intuitive." Zack Hicks, CEO of Toyota Connected and CIO at Toyota Motor North America, said that could mean anything: "From telematics services that learn from your habits and preferences, to use-based insurance pricing models that respond to actual driving patterns, to connected vehicle networks that can share road condition and traffic information, our goal is to deliver services that make lives easier." Toyota began restructuring back in March 2016, abandoning its function-based structure in favor of a structure that is product-based.


Engagely Give AI a Taste of Its Own Medicine

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Bots have brought us into a new era of spam: scammers seeking loose-wallet softies don't have to pose as Nigerian princes anymore--they just write a program that spams thousands of websites at once. Now, fully 56% of all website visits are bot traffic. Bots snatch up concert tickets. They chat with people on dating websites. They buy out 60 days of San Francisco restaurant reservations.