Biswas, Anjanava

Scott, Matthew R.

Talukdar, Wrick

Acero, Dr. Alex

Create intelligent, autonomous AI agents that can reason, plan, and adapt

Building Agentic AI Systems

Onge, Matt St.

Krishnan, Rama

Fortify your embedded Linux systems from design to deployment

The Embedded Linux Security Handbook

Dantas, Victor

Huntingford, Chris

Implement strategy, automation, and AI for scalable digital transformation

The Power Platform Playbook for Digital Transformation

Ramaswami, Yoni

Williamson, Dael

Govaere, Jan

A practical guide to processing, modeling, and forecasting time series with Apache Spark

Time Series Analysis with Spark

Babcock, Joseph

Bali, Raghav

Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications

Generative AI with Python and PyTorch

Dunsky, Michael

Enhance your skills with advanced game animation techniques in C++, OpenGL, and Vulkan

Mastering C++ Game Animation Programming

Bachlmayr, Gerald

Zivic, Bojan

Triantafillou, Nick

Ziegelaar, Aiden

Blockley, Alan

Avoiding Common Mistakes and Driving Success with Best Practices and Real-World Cases

Cloud Native Anti-Patterns

Gabriel-Petit, Pabini

Kalbach, Jim

A practical guide to structuring digital content for findability and easy navigability

Designing Information Architecture

Mitrović, Nikola

Yadav, Santosh

Discover 40+ real-world solutions for building async, event-driven web apps

RxJS Cookbook for Reactive Programming

Guilmette, Aaron

Natwick, Dwayne

Hardiman, James

Haven, Doug

Pass the SC-300 exam with confidence by using exam-focused resources

Microsoft Identity and Access Administrator SC-300 Exam Guide

Over 70 recipes for creating, engineering, and transforming features to build machine learning models

Python Feature Engineering Cookbook

<span xml:lang="en">Python Feature Engineering Cookbook: Over 70 recipes for creating, engineering, and transforming features to build machine learning models</span>

Galli, Soledad

Extract accurate information from data to train and improve machine learning models using NumPy, SciPy, pandas, and scikit-learn librariesKey FeaturesDiscover solutions for feature generation, feature extraction, and feature selectionUncover the end-to-end feature engineering process across continuous, discrete, and unstructured datasetsImplement modern feature extraction techniques using Python's pandas, scikit-learn, SciPy and NumPy librariesBook DescriptionFeature engineering is invaluable for developing and enriching your machine learning models.

Extract accurate information from data to train and improve machine learning models using NumPy, SciPy, pandas, and...

Format

Python Feature Engineering Cookbook

Over 70 recipes for creating, engineering, and transforming features to build machine learning models

Soledad Galli

La gente también lee