List of Machine Learning Data Resources

Here is the List of Machine Learning Data Resources Data.gov Food Environment Atlas School system finances Chronic disease data The US National Center for Education...

Top Marketing Books to Read in 2018

  1.Top of Mind by John Hall game-changing framework for staying top of mind with your audience―from the No. 1 company dominating content marketing What do...

The Best Programming Languages To Learn For AI

Machine learning and artificial intelligence remain a branch of engineering that is ongoing and extremely in demand. With so many people attempting to build...

Top IoT Books To Read in 2018

1. The Second Machine Age: Work, Progress and Prosperity in a Time of Brilliant Technologies by Erik Brynjolfsson and Andrew McAfee In recent years, Google’s autonomous cars have logged...

11 Startups Using Artificial Intelligence To Fight Cancer

It is estimated in 2018, 1,735,350 new cases of cancer will be diagnosed in the USA. Most of the corporate unicorns are already working to find...

Top AI, Machine Learning Open Source Projects

1. TensorFlow: TensorFlow™ is an open source software library for high-performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of...

Top IoT Influencers To Follow in 2018

List of experts, analysts and journalists that we suggest to follow for IoT Updates.    1. Jürgen Schmidhuber: CoFounder at NNAISENSE.  Since age 15, the main goal of professor Jürgen Schmidhuber...

Top Artificial Intelligence Books to Read in 2018

1. Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig: A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory and...

Top Artificial Intelligence Influencers to Follow in 2018

1.Elon Musk: Elon Reeve Musk FRS is a South African-born American business magnate, investor and engineer. He is the founder, CEO, and lead designer of...

Top Deep Learning Papers

Here is the list of top deep learning papers prepared by our staff. 1. Deep Learning, by Yann L., Yoshua B. & Geoffrey H. (2015) Deep...