"CRAN R project page has a fairly long list. It lists some of the cutting edge techniques, especially in ensemble learning. It does not include the 'cutting edge' of deep learning. It also excludes other pieces of the puzzle like univariate…"
"I'd suggest some background in machine learning and neural networks before you start reading the book.
1) Linear algebra is a must have!
2) Look into the history of neural networks. Start with perceptron and feed forward network with 1 hidden…"
I'm an experienced data science professional with expertise in statistical modeling, machine learning, natural language processing and deep learning. I'm currently pursuing Masters in Statistics at University of Illinois at Urbana-Champaign. I'm currently pursuing research on deep learning for finance.