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Machine Learning

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In the last few months, I have had several people contact me about their enthusiasm for venturing into the world of data science and using Machine Learning (ML) techniques to probe statistical regularities and build impeccable data-driven products. However, I’ve observed that some actually lack the necessary mathematical intuition and

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Artificial IntelligenceData ScienceEventsMachine LearningUnderstanding Big Data

Ajit Jaokar is a leading expert working at the intersection of Data Science, IoT, AI, Machine Learning, Big Data, Mobile, and Smart Cities. He teaches IoT and Data Science at Oxford and also is a director of Smart Cities Lab in Madrid. Ajit’s work involves applying machine learning techniques to

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Artificial IntelligenceData ScienceMachine Learning

From Decentralized Model Exchanges to Model Audit Trails [This is based on a talk I first gave on Nov 7, 2016. Here are the slides.] In recent years, AI (artificial intelligence) researchers have finally cracked problems that they’ve worked on for decades, from Go to human-level speech recognition. A key

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ContributorsData ScienceMachine Learning

There’s a lot of buzz around the term “Sentiment Analysis” and the various ways of doing it. Great! So you report with reasonable accuracies what the sentiment about a particular brand or product is. Opinion Mining and Sentiment Analysis After publishing this report, your client comes back to you and

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ContributorsEducationMachine Learning

This is a follow up to an article Per wrote last year, Machine Learning in a Week, on how he kickstarted his way into machine learning (ml) by devoting five days to the subject. Follow him on Medium and check out his archive. First intro: Hacker News and Udacity My interest in ml stems

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stefan kuhn data natives
ConversationsData NativesData ScienceInterviewsMachine Learning

Data Natives Speaker Dr. Stefan Kühn is Lead Data Scientist at codecentric. Together with his team he is developing robust, fast and intelligent algorithms and is applying modern machine learning methods for analyzing large datasets. Before codecentric he was a researcher in the Scientific Computing Group at the Max Planck

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Tech Open Air (TOA) Berlin took place over three days (July 13-July 15). With more than 150 speakers and 11,221 attendees, the event shaped up to be one of Europe’s leading interdisciplinary technology festivals. Attendees participated in a two day conference and more than 175 satellite events took place where

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Artificial IntelligenceMachine Learning

Your phone is already smart, so what’s next? Artificial intelligence and machine learning is coming to the smartphone in ways much bigger than Siri. Earlier this year, Google announced they’ll be working with semiconductor company Movidius By licensing some very special Visual Processing Unit chips, Google plans to move away

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