Algorithms Notes for Professionals
Algorithms Notes for Professionals book is compiled from Stack Overflow Documentation. (252 pages, published on May 2018)
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Deudas técnicas y ocultas en el aprendizaje automático #ML: un análisis de ingenieros de #Google
Usando el marco de ingeniería de software de la deuda técnica, encontramos que es común incurrir en costos de mantenimiento masivos y continuos en sistemas de ML del mundo real.
Altair: Declarative Visualization in Python
Altair is a declarative statistical visualization library for Python. With Altair, you can spend more time understanding your data and its meaning. Altair’s API is simple, friendly and consistent and built on top of the powerful Vega-Lite JSON specification. This elegant simplicity produces beautiful and effective visualizations with a minimal amount of code. Altair is developed by Jake Vanderplas and Brian Granger in close collaboration with the UW Interactive Data Lab.
SQL Notes for Professionals book
This SQL Notes for Professionals book is compiled from Stack Overflow Documentation. (166 pages, published on May 2018)
Deep Learning or Machine Learning? (MathWorks)
«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).
Deep Learning or Machine Learning? (MathWorks) Leer más »
C++ Notes for Professionals book
C++ Notes for Professionals book is compiled from Stack Overflow Documentation,. 708 pages, published on May 2018
Resources on learning deeplearning from the Massachusetts Institute of Technology
A great selection of resources on learning deeplearning by Lex Fridman from the Massachusetts Institute of Technology (MIT).
Resources on learning deeplearning from the Massachusetts Institute of Technology Leer más »
LaTeX Notes for professionals book
This LaTeX Notes for professionals book is compiled from Stack Overflow Documentation. (60 pages, published on May 2018)
Scikit-Learn
Scikit-Learn Tutorial (Materials for my scikit-learn tutorial)
By Jake VanderPlas who is the director of Open Software at the University of Washington’s eScience institute, and researches and teaches in a variety of areas, including Astronomy, Astrostatistics, Machine Learning, and Scalable Computation.
JavaScript® Notes for Professionals book
This JavaScript® Notes for Professionals book is compiled from Stack Overflow Documentation. (490 pages, published on June 2018)