All proposals

«In this ebook, we discuss some of the key differences between deep learning and traditional machine learning approaches. We look at three factors that might influence your decision and then step through an example that combines the two approaches». (MathWorks).

«The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate…

El objetivo de este documento es alentar a los investigadores de inteligencia artificial y diseñadores de productos a cambiar del pensamiento unidimensional sobre los niveles de automatización / autonomía a un nuevo marco HCAI bidimensional.

El siguiente recurso describe los siguientes marcos: TensorFlow Theano Cafe MXNet apache SystemML (proyecto de incubadora) BigDL DistBelief

Consider TPOT your Data Science Assistant. TPOT is a Python Automated Machine Learning (AutoML) tool that optimizes machine learning pipelines using genetic programming.

C++ Notes for Professionals book is compiled from Stack Overflow Documentation,. 708 pages, published on May 2018

«H2O has been the driver for building models at scale. We are talking about billions of claims. You can’t do this with standard off the shelf open source techniques». (H2o.ai).

A great selection of resources on learning deeplearning by Lex Fridman from the Massachusetts Institute of Technology (MIT).

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.

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.

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….