AI

A Joint ClicData and Butler Analytics article. Artificial Intelligence (AI) has become the software equivalent of the semiconductor —ubiquitous, unseen, and capable of changing the shape of society and business. And it is embedded into increasing numbers of systems and applications in a manner that is both transparent and transformational.…

The supposed similarities between artificial intelligence and human intelligence have been made often enough. Neural networks have been widely advertised as an attempt to mimic the neurons in the brain, but this is a fairly superficial analysis. In reality AI is already well beyond any attempts to mimic human intelligence…

Five free python deep learning tools listed below: Blocks is a framework that helps you build neural network models on top of Theano. This products also occurs in the following lists: 30+Free Deep Learning Tools Hebel is a library for deep learning with neural networks in Python using GPU acceleration…

A variety of free deep learning tools and platforms: Apache MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both symbolic…

Hewlett Packard Enterprise has announced new purpose-built platforms and services capabilities to help companies simplify the adoption of Artificial Intelligence, with an initial focus on a key subset of AI known as deep learning. Inspired by the human brain, deep learning is typically implemented for challenging tasks such as image…

A contribution from Yana Yelina. Sounds intimidating, doesn’t it? Many professionals see the writing on the wall: day after day, machines are becoming smarter and are replacing human jobs. Among notable examples are vacuum cleaners, farming drones, and construction workers. The US labor is also drastically changing its landscape. And nearly…

A contribution from Jasmine Morgan. Schools of Thought Since the time of mainframe computers, people have envisioned the potential of the machine to help them perform different tasks faster, more accurately and cheaper. Until recently, this was done through software created in a boolean, logical and transparent way. The conditional…

There are many supervised algorithms that can be used to train a classifier. The problem is that it is hard to say which one will be the best fit for your data — there is no golden algorithm that always comes out best. To train a good predictive model you need to…

A contribution from Piotr Płoński, founder of MLJAR. Predicting employee attrition with machine learning can greatly improve human resources management, saving a lot of money, while still keeping good employees if action is taken in time. In this article the example of how to predict employee attrition with machine learning is presented. The…