Deep Learning has been the core topic in the Machine Learning community the last couple of years. You may read “The major advancements in Deep Learning in 2016” to go through the advancements contributed the most (or have the potential) to move the field forward. Then you may watch a recent Andrew Ng’s presentation “Nuts and Bolts of Applying Deep Learning” and/or read this interesting overview. And then look at Machine Learning from the Decision Management perspective like Tom Davenport and Rich Masi did in the article “Printing-Money” with Operational Machine Learning.