Neural networks are a powerful tool for developers, but harnessing them can be a challenge. With Keras Succinctly, author James McCaffrey introduces Keras, an open-source, neural network library designed specifically to make working with backend neural network tools easier.
There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively-until now.
Efficient R programming Leer más »
This SQL Notes for Professionals book is compiled from Stack Overflow Documentation. (166 pages, published on May 2018)
El siguiente recurso describe los siguientes marcos:
TensorFlow
Theano
Cafe
MXNet
apache
SystemML (proyecto de incubadora)
BigDL
DistBelief
Matriz de recursos de Deep Learning Leer más »
Consider TPOT your Data Science Assistant. TPOT is a Python Automated Machine Learning (AutoML) tool that optimizes machine learning pipelines using genetic programming.
TPOT is a Python Automated Machine Learning tool Leer más »
C++ Notes for Professionals book is compiled from Stack Overflow Documentation,. 708 pages, published on May 2018
The second edition of this best-selling Python book (100,000+ copies sold in print alone) uses Python 3 to teach even the technically uninclined how to write programs that do in minutes what would take hours to do by hand.
AUTOMATE THE BORING STUFF WITH PYTHON: PRACTICAL PROGRAMMING FOR TOTAL BEGINNERS Leer más »
Phyton’s most notable points are:
-Is a great library ecosystem (Scikit-learn, Pandas, Matplotlib, NLTK, Scikit-image, PyBrain, Caffe, StatsModels, TensorFlow, Keras, etc).
-Growing popularity.
-Has a low entry barrier, has flexibility, is a platform independence, has readability, good visualization options, good community support and growing popularity.
Machine learning in Python: the top programming language Leer más »
This LaTeX Notes for professionals book is compiled from Stack Overflow Documentation. (60 pages, published on May 2018)
Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet. (Dr. Charles R. Severance)