Pages : | 63 |
Size : | 1.9 MB |
File type : | |
Downloads: | 56 |
Created: | 2022-02-03 |
License: | CC BY-SA |
Author(s): | Stack Overflow Community |
Download free course Electron Succinctly, pdf file on 131 pages by Ed Freitas....
Machine Learning with TensorFlowTensorFlow, Google's library for large-scale machine learning, simplifies often-complex computations by representing them as graphs and efficiently mapping parts of the graphs to machines in a cluster or to the processors of a single machine....
Kubernetes for Full-Stack DevelopersDownload free course Kubernetes for Full-Stack Developers, pdf file on 637 pages by Jamon Camisso, Hanif Jetha, Katherine Juell....
Exploring the Data JungleSome people like to believe that all data is ready to be used immediately. Not so! Data in..., download free Data Jungle tutorial in PDF (101 pages) created by ....
Download Meteor Tutorial in PDFDownload free Meteor tutorial course in PDF, training file in 48 chapters and 172 pages. Free unaffiliated ebook created from Stack OverFlow contributor....
Games and RulesDownload free course Games and Rules, pdf file on 323 pages by Beat Suter, Mela Kocher, René Bauer....
Learning RDownload free course Learning R, pdf file on 619 pages by Stack Overflow Community....
An Introduction to Machine Learning, 2nd EditionThis book presents fundamental machine learning concepts in an easy to understand manner b..., download free Machine Learning tutorial in PDF (348 pages) created by Miroslav Kubat ....
Essential BashThis book written to provide clear and concise explanation of topics for programmers both starting to learn the Bash programming as well as those diving in more complex topics. Most examples are linked to online playground that allows you to change the code and re-run it....
Computational and Inferential Thinking: The Foundations of Data ScienceData Science is about drawing useful conclusions from large and diverse data sets through exploration, prediction, and inference. Our primary tools for exploration are visualizations and descriptive statistics, for prediction are machine learning and optimization, and for inference are statistical t...