Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. ....
OpenDiscover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. ...
OpenDeep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library.
OpenGraphics in this book are printed in black and white.Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning.
OpenUnderstand deep learning, the nuances of its different models, and where these models can be applied.The abundance of data and demand for superior products/services have driven the development of advanced computer science techniques,.
Open100 recipes that teach you how to perform various machine learning tasks in the real worldAbout This BookUnderstand which algorithms to use in a given context with the help of this exciting recipe-based ...
OpenThe important libraries in Python – NumPy, Pandas, MatPlotLib are presented in literally step-by-step introduction – from their installation to about 70-80 % of their properties and functions. …
OpenThis book offers the readers the basics of machine learning in a very simple, user-friendly language. While browsing the Table of Contents, you will realize that you are given an introduction to every concept that comes under the umbrella of machine learning.
OpenLearn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun
OpenFor many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. ....
OpenHumans do a great job of reading text, identifying key ideas, summarizing, making connections, and other tasks that require comprehension and context. Recent advances in deep learning make it possible for computer systems to achieve similar results. ...
OpenThis invaluable addition to any data scientist's library shows you how to apply the R programming language and useful statistical techniques to everyday business situations as well as how to effectively present results to audiences of all levels. ...
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