Prompt Smarter. Model Better. Deploy with Confidence.Key Features● Get a free one-month digital subscription to www.avaskillshelf.com.● Complete Scikit-learn ML workflow from data preprocessing and feature engineering to production deployment.● Hands-on AI-assisted development using ChatGPT and GitHub Copilot for faster coding and debugging.● Production ML engineering with leak-safe pipelines, explainability...

Machine Learning (ML) practitioners who know how to direct AI with statistical discipline are the ones building reliable production pipelines, while everyone else is still guessing and debugging. ***Prompting Scikit-Learn for Machine Learning***shows you how to translate natural-language intent directly into rigorous, reproducible ML workflows using AI, accelerating every stage from problem framing and data preparation to model deployment and drift management.Rather than treating A...

Machine Learning (ML) practitioners who know how to direct AI with statistical discipline are the ones building reliable production pipelines, while everyone else is still guessing and debugging. Prompting Scikit-Learn for Machine Learning shows you how to translate natural-language intent directly into rigorous, reproducible ML workflows using AI, accelerating every stage from problem framing and data preparation to model deployment and drift management.Rather than treating AI copi...

Build and deploy high-performance deep learning models using C++ for real-time applications where speed and efficiency matter. Free with your book: DRM-free PDF version + access to Packt's next-gen Reader\*Key FeaturesBuild deep learning models in C++ with PyTorch C++ API and CUDAImplement CNNs, RNNs, LSTMs, GANs, and Transformers in C++ for real-world applicationsOptimize and deploy machine learning models to production with scalable C++ pipel...

Industrial Decarbonization: Materials, Methods, and Developments offersa timely and in-depth exploration of the technologies and strategies reshaping high-emission industries in the global push toward carbon neutrality. As sectors such as chemicals, steel, cement, concrete, asphalt, and construction face mounting pressure to reduce their environmental impact, this book provides a comprehensive, multidisciplinary perspective on the innovations driving industrial transformation....

Uses friendly, easy-to-understand For Dummies style to help readers learn to model systems with the latest version of UML, the modeling language used by companies throughout the world to develop blueprints for complex computer systemsGuides programmers, architects, and business analysts through applying UML to design large, complex enterprise applications that enable scalability, security, and robust executionIllustrates concepts with mini-cases from different bus...

Learn algorithms for solving classic computer science problems with this concise guide covering everything from fundamental algorithms, such as sorting and searching, to modern algorithms used in machine learning and cryptographyKey FeaturesLearn the techniques you need to know to design algorithms for solving complex problemsBecome familiar with neural networks and deep learning techniquesExplore different types of algorithms and choose the ri...

Delve into the realm of generative AI and large language models (LLMs) while exploring modern deep learning techniques, including LSTMs, GRUs, RNNs with new chapters included in this 50% new edition overhaul Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesFamiliarize yourself with advanced deep learning architecturesExplore newer topics, such as handling hidden bias in data and algorithm explainabilityGet to...

OCUP 2 Certification Guide: Preparing for the OMG Certified UML 2.5 Professional 2 Foundation Exam both teaches UML® 2.5 and prepares candidates to become certified. UML® (Unified Modeling Language) is the most popular graphical language used by software analysts, designers, and developers to model, visualize, communicate, test, and document systems under development. UML® 2.5 has recently been released, and with it a new certification program for practitioners to enhance their current or ...

Since the last two decades, there have been many advancements in the field of Machine Learning. If you are new or want a comprehensive understanding of Machine Learning, then this book is for you. The book starts by explaining how important Machine Learning is today and the technology required to make it work. The book then helps you get familiar with basic concepts that underlie Machine Learning, including basic Python Programming. It explains different types of Machine Learning algorithm...

Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud native tools on GCP.Throughout this updated second edition, you'll work through a sample business decision by employing a variety of data science approaches. Follow along by building a data pipeline in your own ...

Get into the world of smart data security using machine learning algorithms and Python librariesKey FeaturesLearn machine learning algorithms and cybersecurity fundamentalsAutomate your daily workflow by applying use cases to many facets of securityImplement smart machine learning solutions to detect various cybersecurity problemsBook DescriptionCyber threats today are one of the costliest losses that an organization can face...