Practical Tips for Success with Machine Learning

In the last year, the hype around AI has been deafening. Despite a long hiatus in the AI research community without any major wins, we've made some amazing progress lately. From headlines about AI protecting our digital identities to driving our cars to even diagnosing our maladies, it seems like AI has been everywhere. Unless you have been living under a rock, chances are your feed has been littered with references to deep learning, convolutional neural networks (CNNs), recurrent neural nets (RNNs), or TensorFlow, each accompanied by a bold proclamation technology is about to solve everything from world hunger to health care. Ok, if you're not breaking out the champagne, I understand.