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Machine Learning

Machine learning is Big Data being used at its most extreme level, processing vast and disparate data sets at a machine level to find patterns buried within, producing insights beyond human recognition.

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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Blockchains
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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Artificial IntelligenceContributorsMachine Learning

There is general agreement that language is the key to AI, but who holds the key to language – algorithms or people? According to the hype, the key to automated natural language understanding lies in vast data collections containing millions of words coupled with machine learning algorithms. If you believe

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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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Machine learning
ConversationsData NativesMachine Learning

Francisco is the Founder and CEO of cortical.io, a machine learning company that develops Natural Language Processing solutions for Big Text Data. Francisco’s medical background in genetics combined with over two decade’s of experience in Information Technology, inspired him to create a groundbreaking technology, called Semantic Folding, which is based

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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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Big DataData NativesMachine LearningNewsStartupsStartups

With more startups per capita than anywhere else in the world, Israel has gained the reputation of being a true “startup nation.” Yet with so many innovative startups, the competition remains tight to be accepted into leading startup accelerator programs. This is why Data Natives Tel Aviv 2016 will be

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Big Data Conference Data Natives 2016 in Tel Aviv, Israel
Artificial IntelligenceData NativesEventsFinTechInternet of ThingsMachine Learning

Meet the people at the forefront of Big Data and world changing technology Where: Rise Tel Aviv, Tel Aviv, Israel When: September 25th 2016 datanatives.io   Taking place in one of the world’s largest startup nations, Data Natives Tel Aviv celebrates four areas of technology that are driving business innovation and

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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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