Штучний інтелект

Badanie i zarządzanie ryzykiem w transporcie drogowym z zastosowaniem algorytmów sztucznej inteligencji

Mariusz Izdebski

Building Data Science Applications with FastAPI. Develop, manage, and deploy efficient machine learning applications with Python - Second Edition

François Voron

Building Data-Driven Applications with LlamaIndex. A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications

Andrei Gheorghiu

Building LLM Powered Applications. Create intelligent apps and agents with large language models

Valentina Alto

Business Intelligence with Databricks SQL. Concepts, tools, and techniques for scaling business intelligence on the data lakehouse

Vihag Gupta

Causal Inference and Discovery in Python. Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more

Aleksander Molak, Ajit Jaokar

ChatGPT for Accelerating Salesforce Development. Achieve faster, smarter, and more cost-effective Salesforce Delivery with ChatGPT

Andy Forbes, Philip Safir, Joseph Kubon, Francisco Fálder

ChatGPT for Cybersecurity Cookbook. Learn practical generative AI recipes to supercharge your cybersecurity skills

Clint Bodungen, Aaron Crow

ChatGPT Prompts Book - Precision Prompts, Priming, Training & AI Writing Techniques for Mortals. Crafting Precision Prompts and Exploring AI Writing with ChatGPT

Oliver Theobald

Comet for Data Science. Enhance your ability to manage and optimize the life cycle of your data science project

Angelica Lo Duca, Gideon Mendels

Creators of Intelligence. Industry secrets from AI leaders that you can easily apply to advance your data science career

Dr. Alex Antic, John K. Thompson

DAX Cookbook. Over 120 recipes to enhance your business with analytics, reporting, and business intelligence

Greg Deckler

Deep Learning and XAI Techniques for Anomaly Detection. Integrate the theory and practice of deep anomaly explainability

Cher Simon, Jeff Barr

Deep Learning for Genomics. Data-driven approaches for genomics applications in life sciences and biotechnology

Upendra Kumar Devisetty

Deep Learning for Time Series Cookbook. Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

Vitor Cerqueira, Luís Roque

Deep Learning from the Basics. Python and Deep Learning: Theory and Implementation

Koki Saitoh