لیست کتاب های کلمه کلیدی: #Data Science

With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects …

Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this …

Transform yourself into a specialist in DevOps adoption for Big Data on cloudKey FeaturesLearn the concepts of Bigdata and Devops …

Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today's most popular …

Learn how to write object-oriented programs in R and how to construct classes and class hierarchies in the three object-oriented …

Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever expanding field …

Today, data science is an indispensable tool for any organization, allowing for the analysis and optimization of decisions and strategy. …

Master Deep Learning with this fun, practical, hands on guide. With the explosion of big data deep learning is now …

Learn a simpler and more effective way to analyze data and predict outcomes with Python Machine Learning in Python shows …

Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and …

Create, deploy, and test your Python applications, analyses, and models with ease using Streamlit Key Features • Learn how to …

Have you been interested in getting started with coding, but you are worried that it will be too hard to …

R is a powerful, open source, functional programming language. It can be used for a wide range of programming tasks …

Internet, 2016. — 200 p. — ASIN: B01D0PJMCIWho Else Wants to Learn from Data the Easy Way? Start building smarter …

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from …

Data Science and Analytics with Python is designed for practitioners in data science and data analytics in both academic and …

This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and …

Algorithms increasingly run our lives. They find books, movies, jobs, and dates for us, manage our investments, and discover new …

The thesis provides the necessary experimental and analytical tools to unambiguously observe the atomically resolved chemical reactions. A great challenge …

This practical guide provides more than 200 self-contained recipes to help you solve Machine Learning challenges you may encounter in …

A practitioner's tools have a direct impact on the success of his or her work. This book will provide the …

Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we …

The evolution of deep learning models, combined with with advances in the Internet of Things and sensor technology, has gained …

Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides …

Transform your data into insights with must-know techniques and mathematical concepts to unravel the secrets hidden within your dataKey FeaturesLearn …

IPython is at the heart of the Python scientific stack. With its widely acclaimed web-based notebook, IPython is today an …

The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses …

A straightforward and engaging approach to data science that skips the jargon and focuses on the essentialsIn the newly revised …

Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially the last 25 …

Let Python do the heavy lifting for you as you analyze large datasetsPython for Data Science For Dummies lets you …