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Sound-Classification-with-TensorFlow

Sound Classification with TensorFlow

Introduction There are many different projects and services for human speech recognition like Pocketsphinx, Google's Speech API, and many others. Such applications and services recognize speech to text with pretty good quality,...
Machine-Learning-Crash-Course-Part-I-Supervised-Machine-Learning

Machine Learning Crash Course, Part I: Supervised Machine Learning

Artificial (Un)intelligence When you type 'machine learning' into Google News, the first link you see is a Forbes Magazine piece called "What's The Difference Between Machine Learning And Artificial Intelligence?" This article...
Face-Technology-in-Business-A-Practical-Guide-to-Using-Face-Technology-Part-II

Face Technology in Business: A Practical Guide to Using Face Technology (Part II)

Intelligent IoT - Nice to See You In the next phase of IoT evolution, products are built for natural interaction with human beings. Similar to human-to-human interactions, the capability of knowing...
Why-I-Think-Spark-Will-Have-the-Staying-Power-of-SQL

Why I Think Spark Will Have the Staying Power of SQL

Old-timer Just Keeps on Tickin' SQL has been around for almost 40 years. SQL has been around in commercial form since 1979. That’s when Relational Software, Inc. (which later became Oracle) released...
Human-Centered-Machine-Learning

Human-Centered Design for Machine Learning

Machine learning (ML) is the science of helping computers discover patterns and relationships in data instead of being manually programmed. It’s a powerful tool for creating personalized and dynamic experiences, and...

New Theory on Deep Learning: Information Bottleneck

Naftali Tishby, a computer scientist and neuroscientist from the Hebrew University of Jerusalem, presented a new theory explaining how deep learning works, called the “information bottleneck.”The theory says that deep learning...

Machines Given Innate Curiosity to Help Them Become More Efficient

Computer scientists are finding ways to code curiosity into intelligent machines, making them more efficient. Although extrinsic motivation is well-known for machine learning (i.e. reinforcement learning), limits to this approach suggest...

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