fastText Quick Start Guide. Get started with Facebook's library for text representation and classification

Joydeep Bhattacharjee

Feature Engineering Made Easy. Identify unique features from your dataset in order to build powerful machine learning systems

Sinan Ozdemir, Divya Susarla

Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale

Jayanth Kumar M J

Frank Kane's Taming Big Data with Apache Spark and Python. Real-world examples to help you analyze large datasets with Apache Spark

Frank Kane

Fundamentals of Analytics Engineering. An introduction to building end-to-end analytics solutions

Dumky De Wilde, Fanny Kassapian, Jovan Gligorevic, Juan Manuel Perafan, ...

Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras

Kailash Ahirwar

Generative Deep Learning with Python. Unleashing the Creative Power of AI by Mastering AI and Python

Cuantum Technologies LLC

Geospatial Data Analytics on AWS. Discover how to manage and analyze geospatial data in the cloud

Scott Bateman, Janahan Gnanachandran, Jeff DeMuth

Geospatial Data Science Quick Start Guide. Effective techniques for performing smarter geospatial analysis using location intelligence

Abdishakur Hassan, Jayakrishnan Vijayaraghavan

Get Your Hands Dirty on Clean Architecture. A hands-on guide to creating clean web applications with code examples in Java

Tom Hombergs

Getting Started with Amazon SageMaker Studio. Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE

Michael Hsieh

Getting Started with DuckDB. A practical guide for accelerating your data science, data analytics, and data engineering workflows

Simon Aubury, Ned Letcher, Kris Jenkins

Getting Started with Elastic Stack 8.0. Run powerful and scalable data platforms to search, observe, and secure your organization

Asjad Athick, Shay Banon

Getting Started with Flurry Analytics. In today's mobile app market you need to track your applications and analyze user data to give yourself the competitive edge. Flurry Analytics will do all that and more, and this book is the perfect developer's guide

Bhanu Birani

Getting Started with Haskell Data Analysis. Put your data analysis techniques to work and generate publication-ready visualizations

James Church

Getting Started with Oracle Event Processing 11g. Create and develop real-world scenario Oracle CEP applications

Alexandre Alves, Robin J. Smith, Lloyd Williams

Getting Started with Python Data Analysis. Learn to use powerful Python libraries for effective data processing and analysis

Anthony Ojeda, Phuong Vo.T.H

Getting Started with Simulink. Written by an experienced engineer, this book will help you utilize the great user-friendly features of Simulink to advance your modeling, testing, and interfacing skills. Packed with illustrations and step-by-step walkthroughs

Luca Zamboni

Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python

Tyler Richards

Getting Started with Tableau 2018.x. Get up and running with the new features of Tableau 2018 for impactful data visualization

Tristan Guillevin

ggplot2 Essentials. Explore the full range of ggplot2 plotting capabilities to create meaningful and spectacular graphs

Donato Teutonico

Go Design Patterns. Best practices in software development and CSP

Go Web Scraping Quick Start Guide. Implement the power of Go to scrape and crawl data from the web

Vincent Smith

Google Analytics dla marketingowców. Wydanie III

Martyna Zastrożna