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H2O: The Versatile Tool for Deep Learning

The H2O project developed by H20.ai provides users tools for data analysis, allowing them to fit thousands of potential models when trying to discover...

Machine Learning Basics for Noobs

In simple layman terms, machine learning helps in making machines acquire human-like behaviour, while retaining their original capabilities. Here’s a quick introduction to the...
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Machine Learning and Smartphones: A Powerful Combination

The combination of smartphones and machine learning presents a formidable tool to solve problems that were almost impossible to overcome earlier. As mobile hardware...

The Best Open Source Machine Learning and Deep Learning Tools for...

Deriving knowledge and insights from data empowers enterprises to make effective decisions, cut costs, ensure quick delivery, as well as enhance competitiveness and productivity....

IBM Launches Power Systems Servers Designed for Artificial Intelligence

With increasing dependency of businesses on Artificial Intelligence, the system administrators are regularly demanding upgrades in power systems servers with the daily increasing workload...

Deep Learning Platform launched by Linux Foundation

The Linux Foundation is supporting multiple open source foundations and projects like Cloud Foundry, the Cloud Native Computing Foundation, CNI, CodeAurora, IOTivity and many...
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The Connect Between Deep Learning and AI

Deep learning is a sub-field of machine learning and is related to algorithms. Machine learning is a kind of artificial intelligence that provides computers...

Keras: Building Deep Learning Applications with High Levels of Abstraction

Keras is a high-level API for neural networks. It is written in Python and its biggest advantage is its ability to run on top...

The Story Behind the All-pervasive AI

The invention of the digital computer has been one of the defining moments of the modern era. It all started off by building a...

Deep Learning: Using Algorithms to Make Machines Think

Deep learning is part of the broader family of machine learning methods. It was introduced with the objective of moving machine learning closer to...
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