IT business

Online books from the category IT Business will help you tackle such technical issues as data analysis, blockchain, or programming. You will also find here amazing publications about internet advertisement and all kinds of information on how to run business online. Besides, they teach how to analyse marketing data and how to build good relationships with clients.

Hands-On Data Analysis with Pandas. A Python data science handbook for data collection, wrangling, analysis, and visualization - Second Edition

Stefanie Molin, Ken Jee

Hands-On Data Analysis with Pandas. Efficiently perform data collection, wrangling, analysis, and visualization using Python

Stefanie Molin

Hands-On Data Analysis with Scala. Perform data collection, processing, manipulation, and visualization with Scala

Rajesh Gupta

Hands-On Data Preprocessing in Python. Learn how to effectively prepare data for successful data analytics

Roy Jafari

Hands-On Data Science and Python Machine Learning. Perform data mining and machine learning efficiently using Python and Spark

Frank Kane

Hands-On Data Science for Marketing. Improve your marketing strategies with machine learning using Python and R

Yoon Hyup Hwang

Hands-On Data Science with Anaconda. Utilize the right mix of tools to create high-performance data science applications

Yuxing Yan, James Yan

Hands-On Data Science with R. Techniques to perform data manipulation and mining to build smart analytical models using R

Vitor Bianchi Lanzetta, Nataraj Dasgupta, Ricardo Anjoleto Farias

Hands-On Data Science with SQL Server 2017. Perform end-to-end data analysis to gain efficient data insight

Marek Chmel, Vladimir Muzny

Hands-On Data Science with the Command Line. Automate everyday data science tasks using command-line tools

Jason Morris, Chris McCubbin, Raymond Page

Hands-On Data Visualization with Bokeh. Interactive web plotting for Python using Bokeh

Kevin Jolly

Hands-On Data Warehousing with Azure Data Factory. ETL techniques to load and transform data from various sources, both on-premises and on cloud

Christian Cote, Michelle Gutzait, Giuseppe Ciaburro

Hands-On Deep Learning Algorithms with Python. Master deep learning algorithms with extensive math by implementing them using TensorFlow

Sudharsan Ravichandiran

Hands-On Deep Learning Architectures with Python. Create deep neural networks to solve computational problems using TensorFlow and Keras

Yuxi (Hayden) Liu, Saransh Mehta

Hands-On Deep Learning for Games. Leverage the power of neural networks and reinforcement learning to build intelligent games

Micheal Lanham

Hands-On Deep Learning for Images with TensorFlow. Build intelligent computer vision applications using TensorFlow and Keras

Will Ballard

Hands-On Deep Learning for IoT. Train neural network models to develop intelligent IoT applications

Dr. Mohammad Abdur Razzaque, Md. Rezaul Karim

Hands-On Deep Learning with Apache Spark. Build and deploy distributed deep learning applications on Apache Spark

Guglielmo Iozzia

Hands-On Deep Learning with Go. A practical guide to building and implementing neural network models using Go

Gareth Seneque, Darrell Chua

Hands-On Deep Learning with R. A practical guide to designing, building, and improving neural network models using R

Michael Pawlus, Rodger Devine

Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data!

Dan Van Boxel

Hands-On Ensemble Learning with Python. Build highly optimized ensemble machine learning models using scikit-learn and Keras

George Kyriakides, Konstantinos G. Margaritis

Hands-On Ensemble Learning with R. A beginner's guide to combining the power of machine learning algorithms using ensemble techniques

Prabhanjan Narayanachar Tattar

Hands-On Exploratory Data Analysis with Python. Perform EDA techniques to understand, summarize, and investigate your data

Suresh Kumar Mukhiya, Usman Ahmed