Big data

The Natural Language Processing Workshop. Confidently design and build your own NLP projects with this easy-to-understand practical guide

Rohan Chopra, Aniruddha M. Godbole, Nipun Sadvilkar,...

The Pandas Workshop. A comprehensive guide to using Python for data analysis with real-world case studies

Blaine Bateman, Saikat Basak, Thomas V. Joseph,...

The Statistics and Machine Learning with R Workshop. Unlock the power of efficient data science modeling with this hands-on guide

Liu Peng

The Supervised Learning Workshop. Predict outcomes from data by building your own powerful predictive models with machine learning in Python - Second Edition

Blaine Bateman, Ashish Ranjan Jha, Benjamin Johnston,...

The Tableau Workshop. A practical guide to the art of data visualization with Tableau

Sumit Gupta, Sylvester Pinto, Shweta Sankhe-Savale, JC...

The TensorFlow Workshop. A hands-on guide to building deep learning models from scratch using real-world datasets

Matthew Moocarme, Anthony So, Anthony Maddalone

The TensorFlow Workshop. A hands-on guide to building deep learning models from scratch using real-world datasets

Matthew Moocarme, Anthony So, Anthony Maddalone

The Ultimate Guide to Snowpark. Design and deploy Snowflake Snowpark with Python for efficient data workloads

Shankar Narayanan SGS, Vivekanandan SS, Jeff Hollan

The Unsupervised Learning Workshop. Get started with unsupervised learning algorithms and simplify your unorganized data to help make future predictions

Aaron Jones, Christopher Kruger, Benjamin Johnston

Three.js Cookbook. Over 80 shortcuts, solutions, and recipes that allow you to create the most stunning visualizations and 3D scenes using the Three.js library

Jos Dirksen

Time Series Analysis on AWS. Learn how to build forecasting models and detect anomalies in your time series data

Michaël Hoarau

Time Series Analysis with Python Cookbook. Practical recipes for the complete time series workflow, from modern data engineering to advanced forecasting and anomaly detection - Second Edition

Tarek A. Atwan

Time Series Analysis with Spark. A practical guide to processing, modeling, and forecasting time series with Apache Spark

Yoni Ramaswami, Dael Williamson, Jan Govaere

TinyML Cookbook. Combine artificial intelligence and ultra-low-power embedded devices to make the world smarter

Gian Marco Iodice, Ronan Naughton

TinyML Cookbook. Combine machine learning with microcontrollers to solve real-world problems - Second Edition

Gian Marco Iodice

TinyML. Wykorzystanie TensorFlow Lite do uczenia maszynowego na Arduino i innych mikrokontrolerach

Pete Warden, Daniel Situnayake

Tomographic imaging in environmental, industrial and medical applications

Tomasz Rymarczyk

Train Your Own GPT. How to Train ChatGPT to Think Like You

MrExcel's Holy Macro! Books, Bill Jelen

Transformative Magic of M Code in Power Query Excel & Power BI. A Beginner's Guide to Get the Data Structures Needed to Create Insightful Data Analysis Solutions

MrExcel's Holy Macro! Books, Mike Girvin

Transformers for Natural Language Processing and Computer Vision. Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3 - Third Edition

Denis Rothman

Transformers for Natural Language Processing. Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4 - Second Edition

Denis Rothman, Antonio Gulli

Transforming Healthcare with DevOps. A practical DevOps4Care guide to embracing the complexity of digital transformation

Jeroen Mulder, Henry Mulder

Tworzenie rozwiązań za pomocą Microsoft Power Platform. Rozwiązywanie codziennych problemów w przedsiębiorstwie

Jason Rivera

Uczenie głębokie i sztuczna inteligencja. Interaktywny przewodnik ilustrowany

Jon Krohn, Grant Beyleveld, Aglaé Bassens

Uczenie głębokie od zera. Podstawy implementacji w Pythonie

Seth Weidman