Название: Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models
Автор: Matt Harrison
Издательство: MetaSnake
Серия: Treading on Python
Год: 2023
Страниц: 221
Язык: английский
Формат: pdf (true)
Размер: 28.9 MB

"Effective XGBoost" is the ultimate guide to mastering the art of classification. Whether you're a seasoned data scientist or just starting out, this comprehensive book will take you from the basics of XGBoost to advanced techniques for optimizing, tuning, understanding, and deploying your models. XGBoost is one of the most popular Machine Learning algorithms used in Data Science today. With its ability to handle large datasets, handle missing values, and deal with non-linear relationships, it has become an essential tool for many data scientists. In this book, you'll learn everything you need to know to become an expert in XGBoost. XGBoost is both a library and a particular gradient boosted trees (GBT) algorithm. (Although the XGBoost library also supports other - linear - base learners.) GBTs are a class of algorithms that utilize the so-called ensembling - building a very strong ML algorithm by combining many weaker algorithms. Starting with the basics, you'll learn how to use XGBoost for classification tasks, including how to prepare your data, select the right features, and train your model. From there, you'll explore advanced techniques for optimizing your models, including hyperparameter tuning, early stopping, and ensemble methods. Machine Learning for tabular data is still a very hands-on artisanal process. A big part of what makes a great tabular data ML model has to do with proper data preparation and feature engineering. This is where Matt’s background with Pandas really comes in handy - many Pandas examples throughout the book are exceptionally valuable in their own right. Chapters end with a great selection of useful exercises.

Название: Machine Learning: A Comprehensive Beginner's Guide
Автор: Akshay B R, Sini Raj Pulari,T S Murugesh, Shriram K Vasudevan
Издательство: CRC Press
Год: 2025
Страниц: 259
Язык: английский
Формат: pdf (true)
Размер: 47.7 MB

Machine Learning is an exciting and rapidly growing field which is all about creating algorithms and models that enable computers to recognize patterns, make predictions, and improve their performance over time. It empowers computers to learn from data and experiences and make decisions without being explicitly programmed. For beginners, understanding the fundamentals of Machine Learning can open doors to a world of possibilities. Machine Learning is as effective as the datasets it relies on. By understanding the nuances of different types of datasets, conducting thorough exploration, and following best practices, practitioners can harness the power of data to build robust and accurate Machine Learning models. As the field continues to advance, the role of datasets in shaping the future of Machine Learning becomes increasingly pivotal. Machine Learning (ML) has revolutionized various industries, and with the advent of oneAPI, the landscape has evolved even further. oneAPI simplifies the development process by providing a unified programming model that spans different architectures, including CPUs, GPUs, FPGAs, and accelerators. It aims to break down the barriers between traditional and specialized computing, fostering a more efficient and portable programming environment. By embracing a unified programming model, oneAPI also empowers practitioners to build efficient and scalable Machine Learning solutions, marking a significant stride in the evolution of cross-​architecture development. Embarking on the journey of Machine Learning as a beginner may seem daunting, but with a step-​by-​step approach followed in this book, it becomes an accessible and rewarding endeavor. You can delve into this fascinating field, to master Machine Learning concepts.

Название: MERN Stack Web Development For Beginners: A Step-By-Step Guide to Build a Full Stack Web Application With React, Express, Node.js, and MongoDB
Автор: Nathan Sebhastian
Издательство: Independently published
Год: 2024
Страниц: 269
Язык: английский
Формат: epub
Размер: 10.1 MB

Are you having trouble learning MERN stack? Struggling with errors when coding a MERN app? MERN Web Development For Beginners is the guide you need to learn the MERN stack without getting frustrated. The goal of this book is to provide gentle step-by-step instructions that will help you see how to develop web applications using the MERN Stack. I’ll teach you why MERN is a great choice to build full-stack web applications. We’ll cover essential MERN topics like routing, authentication, network requests and database query and see how they are used to develop a feature-rich web application. After finishing this book, you will know how to build and deploy a modern, high-performance web application using MERN. Each chapter explains a topic in plain English and includes practical code examples. There's also a full stack project included in this book that will give you the "experience" of building a web application using MERN. Complete Source Code Included. To experience the full benefit of this book, basic knowledge of jаvascript and React is required.

Название: Retrieval Augmented Generation in Production with Haystack: Building Trustworthy, Scalable, Reliable, and Secure AI Systems (Early Release)
Автор: Skanda Vivek
Издательство: O’Reilly Media, Inc.
Год: 2024-05-07
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

In today's rapidly changing AI technology environment, software engineers often struggle to build real-world applications with large language models (LLM). The benefits of incorporating open source LLMs into existing workflows is often offset by the need to create custom components. That's where Haystack comes in. This open source framework is a collection of the most useful tools, integrations, and infrastructure building blocks to help you design and build scalable, API-driven LLM backends. With Haystack, it's easy to build extractive or generative QA, Google-like semantic search to query large-scale textual data, or a reliable and secure ChatGPT-like experience on top of technical documentation. This guide serves as a collection of useful retrieval augmented generation (RAG) mental models and offers ML engineers, AI engineers, and backend engineers a practical blueprint for the LLM software development lifecycle. An emerging paradigm is the leveraging of Generative AI to unlock data-centric insights for customers across various industries using large language models (LLMs) such as the OpenAI GPT models, Anthropic’s Claude models, Google Gemini, Meta’s Llama models, Mistral, etc. However, an engine alone cannot propel a vehicle. State-of-the-art LLMs like GPT-4 excel at language-based tasks due to their a priori knowledge, acquired through training on a vast representative corpus of documents (including websites, books, etc.) and tasks involving these documents.

Название: Think Like a Startup Founder (MEAP v12)
Автор: Jothy Rosenberg
Издательство: Manning Publications
Год: 2024
Страниц: 361
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Discover the good, the bad, and the ugly of succeeding with a tech startup from nine-time company founder Jothy Rosenberg. Jothy Rosenberg is an incorrigible technology entrepreneur. As the founder of nine companies, he’s experienced both the stunning success of $100 million sales and the inevitable setbacks that any startup faces. In Think Like a Startup Founder: Anecdotes of an incorrigible technology entrepreneur Jothy tells stories from his decades in business that will give guidance, insight, and inspiration to anyone who’s ever thought of founding or running a company. Every story recounts a success or mistake that becomes a vital lesson to any aspiring founder. You’ll benefit from Jothy’s unvarnished truth-telling about investors, boards, successes, failures, and more. Almost every developer has dreamed about starting their own company. The cold reality is that nine out of ten startups fail. If you’ve ever thought about tech entrepreneurship, this guide will give you a great head start by answering important questions you didn’t even know you should be asking. For anyone interested in technology entrepreneurship—no specialist knowledge required.

Название: Волшебство Kotlin
Автор: Сомон (Симон) П. И.
Издательство: ДМК Пресс
Год: 2020
Cтраниц: 536
Формат: pdf (ocr)
Размер: 59 мб
Язык: русский

Kotlin – один из самых новых языков в экосистеме Java, устраняющий многие ограничения Java и гораздо более универсальный. Среди его преимуществ: полная совместимость с Java и возможность интеграции на уровне исходного кода, широкая поддержка парадигмы функционального программирования, помогающая писать надежный и безопасный код, лаконичность синтаксиса, а также, что весьма немаловажно, гарантии поддержки со стороны IT-гиганта Google. Пьер-Ив Сомон.

Название: Python Development with Large Language Models: From Text to Tasks: Python Programming with the Help of Large Language Models! 5 Projects to Master Python Development with Large Language Models
Автор: Katie Millie
Издательство: Independently published
Серия: Python Trailblazer’s Bible
Год: 2024
Страниц: 163
Язык: английский
Формат: pdf
Размер: 23.2 MB

Unchain Your Coding Potential: Python Development with Large Language Models. Is your Python code stuck in the dark ages?Are you tired of repetitive tasks and endless syntax errors? Break free from the shackles of manual coding with the revolutionary power of Large Language Models (LLMs)! Python Development with Large Language Models is your launchpad into the future of programming. This book equips you with the knowledge and tools to supercharge your Python development by leveraging the incredible capabilities of LLMs. The magic behind LLMs: Demystify the technology and discover how these powerful language models process, analyze, and generate text. Essential Python libraries and frameworks: Learn to leverage popular tools like TensorFlow or PyTorch, the bridges connecting LLMs and Python development. Practical techniques for LLM integration: Explore how to access and interact with LLMs, process text data effectively, and fine-tune them for specific tasks within your projects. Real-world project implementation: Put your knowledge into action by building a practical application that utilizes LLMs in your Python development environment. Ready to unlock the true potential of your Python coding? Don't wait! Buy Python Development with Large Language Models today and launch yourself into the future of coding! This comprehensive guide will equip you with the knowledge and tools to transform your Python development workflow and become a true coding master. Take control of your programming destiny.

Название: Python Programmierung Tipps und Projekte - Mai 2024
Автор: Papercut Ltd
Издательство: Papercut Ltd
Год / месяц: Mai 2024
Страниц: 148
Формат: PDF
Размер: 111 MB
Язык: Deutsch/немецкий

Python Programmierung Tipps und Projekte - это идеальное цифровое издание для пользователей, которые хотят поднять свои навыки на новый уровень. Вы хотите улучшить свой пользовательский опыт или получить инсайдерские знания? Вы хотите учиться непосредственно у экспертов в этой области? Хотите узнать бесчисленные сокращения, которыми пользуются профессионалы? На страницах этого нового руководства для продвинутых пользователей вы узнаете все, что нужно, чтобы стать более уверенным, знающим и опытным пользователем, который будет извлекать максимальную пользу из своего кодирования и, в конечном счете, из самого программирования Python. С этим неофициальным руководством у вас никогда не возникнет проблем или вопросов, которые вы не сможете решить, изучая, осваивая и совершенствуя свои навыки программирования на языке Python.

Название: TensorFlow Developer Certification Guide: Crack Google’s official exam on getting skilled with managing production-grade ML models
Автор: Patrick J
Издательство: GitforGits
Год: 2023
Страниц: 212
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Designed with both beginners and professionals in mind, the book is meticulously structured to cover a broad spectrum of concepts, applications, and hands-on practices that form the core of the TensorFlow Developer Certificate exam. Starting with foundational concepts, the book guides you through the fundamental aspects of TensorFlow, Machine Learning algorithms, and Deep Learning models. The initial chapters focus on data preprocessing, exploratory analysis, and essential tools required for building robust models. The book then delves into Convolutional Neural Networks (CNNs), Long Short-Term Memory Networks (LSTMs), and advanced neural network techniques such as GANs and Transformer Architecture. Emphasizing practical application, each chapter is peppered with detailed explanations, code snippets, and real-world examples, allowing you to apply the concepts in various domains such as text classification, sentiment analysis, object detection, and more. A distinctive feature of the book is its focus on various optimization and regularization techniques that enhance model performance. As the book progresses, it navigates through the complexities of deploying TensorFlow models into production. It includes exhaustive sections on TensorFlow Serving, Kubernetes Cluster, and edge computing with TensorFlow Lite. The book provides practical insights into monitoring, updating, and handling possible errors in production, ensuring a smooth transition from development to deployment. The final chapters are devoted to preparing you for the TensorFlow Developer Certificate exam. From strategies, tips, and coding challenges to a summary of the entire learning journey, these sections serve as a robust toolkit for exam readiness. With hints and solutions provided for challenges, you can assess your knowledge and fine-tune your problem solving skills.

Название: The Python For Finance Handbook: Unlocking Financial Insights with Python
Автор: Hayden Van Der Post, Vincent Bisette
Издательство: Reactive Publishing
Год: 2024
Страниц: 583
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Dive into the dynamic world of finance armed with the power of Python! In 'The Python for Finance Handbook,' embark on a journey where financial expertise meets cutting-edge technology. This comprehensive guide equips you with the essential tools and techniques to leverage Python programming for financial analysis, modeling, and decision-making. From mastering data manipulation to implementing advanced statistical methods, this handbook demystifies complex financial concepts through practical examples and real-world applications. Whether you're a seasoned finance professional or a newcomer to the field, this book empowers you to harness Python's versatility to streamline processes, gain insights, and make informed investment decisions. Explore key topics such as portfolio optimization, risk management, algorithmic trading, and more, as you discover how Python revolutionizes traditional finance practices. With step-by-step instructions, code snippets, and hands-on exercises, 'The Python for Finance Handbook' is your indispensable companion for navigating the intersection of finance and technology. Elevate your financial prowess and stay ahead in today's rapidly evolving financial landscape with Python as your guide. Python's simplicity and readability have made it particularly attractive for finance professionals who are not primarily programmers but require a tool that can extend their analytical capabilities without a steep learning curve. The language's syntax is intuitive and emphasizes readability, which facilitates easier maintenance and collaboration among professionals from various disciplines.