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

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

Dunsky, Michael

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

Mastering C++ Game Animation Programming

Babcock, Joseph

Bali, Raghav

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

Generative AI with Python and PyTorch

Mitrović, Nikola

Yadav, Santosh

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

RxJS Cookbook for Reactive Programming

Gabriel-Petit, Pabini

Kalbach, Jim

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

Designing Information Architecture

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

Ramaswami, Yoni

Williamson, Dael

Govaere, Jan

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

Time Series Analysis with Spark

Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI

Python Data Cleaning Cookbook

<span xml:lang="en">Python Data Cleaning Cookbook: Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI</span>

Walker, Michael

Learn the intricacies of data description, issue identification, and practical problem-solving, armed with essential techniques and expert tips.Key FeaturesGet to grips with new techniques for data preprocessing and cleaning for machine learning and NLP modelsUse new and updated AI tools and techniques for data cleaning tasksClean, monitor, and validate large data volumes to diagnose problems using cutting-edge methodologies including Machine learning and AIBook DescriptionJumping into data analysis without proper data cleaning will certainly lead to incorrect results.

Learn the intricacies of data description, issue identification, and practical problem-solving, armed with essential techniques and expert...

Format

Python Data Cleaning Cookbook

Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI

Michael Walker

Les gens lisent aussi