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 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 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 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