Название: Learn AI Data Engineering in a Month of Lunches (MEAP 7)
Автор: David Melillo
Издательство: Manning Publications
Год: 2026
Страниц: 313
Язык: английский
Формат: pdf (true), epub
Размер: 21.9 MB

Reliable and effective AI-powered data pipelines delivered in just a month of lunches! Learn AI Data Engineering in a Month of Lunches is a fast, friendly guide to integrating large language models into your data workflows. In just 17 short lessons, you’ll learn how AI can help you handle time-consuming data engineering tasks including transformations, calculations, and the never-ending chore of data cleaning–all illustrated with instantly-familiar SQL and Python use cases! AI presents a compelling opportunity as a coding companion, generating code that is often accurate enough to use with minimal refinement. Tools like ChatGPT, GitHub Copilot, and Claude have already begun replacing repetitive scripting, scaffolding complex data pipelines, and offering natural language interfaces to libraries like Pandas, NumPy, and Scikit-learn. For aspiring and veteran data professionals who know Python and SQL.

Название: Grokking Machine Learning, Second Edition (MEAP v3)
Автор: Luis G. Serrano
Издательство: Manning Publications
Год: 2026
Страниц: 406
Язык: английский
Формат: pdf (true), epub
Размер: 49.1 MB

Machine Learning (ML) is a broad term for software that can spot patterns in data and make decisions without being explicitly programmed for each task. ML algorithms power the search and recommendation systems, business workflows, and software security systems you use every day—including AI tools like ChatGPT. This unique book brings the core ideas of ML to life with vivid examples, engaging exercises, and crisp illustrations. There’s no jargon or complex academic theory. All you need is basic programming knowledge, high school mathematics, and curiosity! Grokking Machine Learning, Second Edition helps you build an intuitive understanding of Machine Learning from the ground up. Each chapter introduces a core ML concept, such as regression and tree-based methods, data preprocessing, feature engineering, neural networks, and more. This totally-revised second edition also illuminates modern AI, including transformers, LLMs, and image generation models. For readers who know basic Python. No Machine Learning knowledge is necessary.

Название: Machine Learning Algorithms for Engineering Applications: Future Trends and Research Directions
Автор: Prasenjit Chatterjee, Parmanand Astya, Sudeshna Chakraborty and Pooja
Издательство: Nova Science Publishers
Год: 2022
Страниц: 234
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Machine Learning is a vital part of numerous academic and financial applications, in areas ranging from health care and treatment to finding relevant information in social networks. Large organisations thoughtfully apply Machine Learning algorithms with extensive research teams. The purpose of this book is to provide an intellectual introduction to statistical or Machine Learning (ML) techniques for those that would not normally be exposed to such approaches during their typical required statistical exercise. Although there will be references using the R statistical environment and explanations of a few basic methods, the emphasis here is on theories rather than applications and will be held as hypothetical as possible. In terms of prerequisite expertise, we would presume a simple understanding of regression analyses as they are usually described in applicable disciplines. In terms of programming, none is really needed to follow any of the material here, but knowledge of R, CUDA, Mahout, Pytorch, TensorFlow, and Colab will be useful if one wants to do the examples.

Название: Building Personal Productivity Tools Using Python and ChatGPT: Your Road from Novice to Skilled Professional
Автор: Stas Kolod
Издательство: Independently published
Год: 2026
Страниц: 178
Язык: английский
Формат: pdf, epub, azw3, mobi
Размер: 10.1 MB

Unlock the Power of Modern Tools with Our Practical Tech Guide Collection! This book isn’t about theory or long-winded explanations — it’s about doing. Clear steps, real tools, and zero fluff. If you already dabble in tech or use digital tools in your daily workflow, you’ll feel right at home. Inside you’ll find 30 practical lessons, walkthroughs, or examples that help you work smarter, solve real problems, and actually get things done. Whether it’s learning a new program, leveling up your automation game, or making your daily tasks more efficient — everything here is built to be useful from page one. Less guessing, more clarity. Less searching, more doing. You open the book, try stuff out, and it just clicks. No gatekeeping, no jargon overload — just straightforward guidance with a purpose. If you're ready to stop circling around the tools and finally get them working for you — welcome. Your next “oh wow, that’s how it works!” moment is just a page away!

Название: Data Manipulation with Pandas: Sculpting Raw Information into Actionable Insight: The Essential Toolbox for Data Scientists and Analysts
Автор: Caelum Bitwright
Издательство: Independently published
Год: December 17, 2025
Страниц: 187
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Turn Messy Data Into Your Most Powerful Competitive Advantage. Information is everywhere, but insight is rare. Most people look at a massive, disorganized dataset and see a headache. A true data scientist looks at that same mess and sees a story waiting to be told. The difference between the two is the ability to manipulate data with precision, speed, and intent. Data Manipulation with Pandas is your definitive guide to the "sculpting" phase of Data Science. If Python is the engine, Pandas is the steering wheel, the gears, and the dashboard. This book moves past basic syntax to show you how to reshape, pivot, and refine raw information into lean, actionable intelligence. We strip away the academic jargon and replace it with high-impact techniques that professional analysts use to stay ahead of the curve. If you know the basics of Python but find yourself struggling with real-world, messy datasets, this book is your launchpad. We give you the foundational skills needed to prepare data for Machine Learning models (Scikit-learn, TensorFlow, PyTorch).

Название: AI Agents Bible (5 Books in 1): Beginner-to-Pro System for Agentic AI: Build No-Code Automations with Custom ChatGPT, n8n & Make.com
Автор: Tomasz Dylik
Издательство: EntreNexus
Год: 2026
Страниц: 155
Язык: английский
Формат: pdf + Extra
Размер: 11.0 MB

AI Agents are the next big thing in how work gets done in 2026. If you’re excited about AI Agents but still “just prompting ChatGPT,” or feel stuck at the demo stage, dealing with random results, and you don’t know how to code, this book is for you. The AI Agents Bible is built out of 5 Books and a practical Bonus Pack for non-coders who want more than chat. You’ll build your custom ChatGPT and learn how to move from prompts to delegation on popular no-code platforms, including custom GPT, n8n, and Make.com. Your projects and workflows will become valuable, repeatable, and scalable. You already know that agentic AI can handle tasks, use tools, update systems, and manage multi-step workflows. But when you try to use it in practice, you face messy inputs, missing fields, rate limits, unclear handoffs, and a big question. Whether you’re a founder, operator, marketer, or builder, this book gives you a clear way for non-coders to work with AI agents. It’s designed for both beginners and experienced users, with guidance to help you get started and advanced strategies for those ready to go further.

Название: Generative AI for Software Developers: Future-Proof Your Career with AI-Powered Development and Practical Hands-On Skills
Автор: Saurabh Shrivastava, Kamal Arora, Ashutosh Dubey, Dhiraj Thakur, Sanjeet Sahays
Издательство: BitMaple LLC
Год: 2025
Страниц: 454
Язык: английский
Формат: True PDF, True EPUB
Размер: 30.8 MB

Future-proof your career with AI-powered development and hands-on skills. Master Generative AI in software development with hands-on guidance, from coding and debugging to testing and deployment, using GitHub Copilot, Amazon Q Developer, and OpenAI APIs to build scalable, AI-powered applications You’ll work with tools such as GitHub Copilot, Amazon Q Developer, and OpenAI APIs while learning strategies for prompt engineering, fine-tuning, and building scalable AI-powered applications. Featuring real-world use cases, best practices, and expert insights, this book bridges the gap between experimenting with AI and production deployment. This book is for software developers, engineers, architects, and tech professionals who want to understand the core concepts of Generative AI and its real-world applications, master AI-driven development workflows to improve efficiency and code quality, and leverage tools like GitHub Copilot, Amazon Q Developer, and OpenAI APIs to automate coding tasks.

Название: Appium Insights: Strategies for Successful Platform Agnostic Test Automation
Автор: Sai Krishna V
Издательство: Apress
Год: 2025
Страниц: 222
Язык: английский
Формат: True PDF, True EPUB
Размер: 14.7 MB

This books helps you embark on the journey to master the art of Appium automation, from installation all the way to building a Plugin and Driver. It covers the Appium 3.0 version which is the latest version which involves a complete re-architecture. Appium is an open source, cross-platform test automation tool designed for native and hybrid mobile applications. In addition to mobile apps, Appium supports testing for desktop applications, TV OS, Unity games, and many other applications, depending on the drivers developed for it. The use of standard automation APIs means seamless integration between different platforms. Since it supports any WebDriver-compatible language like Java, Python, Ruby, C#, and Node.js, it allows developers to write their tests. You'll begin by following step-by-step instructions on installing Appium, configuring Node packages, and creating a simple test. Following this, you'll discuss the intricacies of configuring and developing robust method wrappers, a crucial skill for supporting multiple test suites with both native commands. The book goes beyond the basics, exploring techniques to make test suites faster when running tests in CI like Jenkins, GitHub Actions, as well as cloud environments like Lambda Test, BrowserStack. For Software Testers, software architects, QA engineers, and DevOps engineers.

Название: The Data Science Super Agent, Volume I: Beginning Again: Foundations, Data, Python, and the Mathematics of Clear Thinking
Автор: Ravindra Nayak
Издательство: Independently published
Год: 2026
Страниц: 251
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

The Data Science Super Agent, Volume I is a calm, deeply practical beginning for readers who want to enter data science without getting lost in noise, jargon, or panic. This book is written for the learner who feels overwhelmed by the speed of the field, confused by scattered tutorials, and unsure how mathematics, Python, data science, and AI actually fit together. Instead of rushing into tools and trends, Volume I builds understanding from first principles. It helps the reader slow down, see clearly, and begin well. Inside this volume, you will learn what Data Science really is, how to frame real business problems, how to treat data as evidence, how to use Python as a thinking tool, and how the core mathematics of the field quietly supports everything that follows. At the center of the book is one long-form project: the Data Science Super Agent. Rather than jumping through disconnected examples, the book develops one system step by step.

Название: A Complete Guide to Agentforce: Plan, Design, Build and Run AI Agents with Salesforce
Автор: Timo Kovala
Издательство: Apress
Год: 2026
Страниц: 348
Язык: английский
Формат: True PDF, True EPUB
Размер: 42.8 MB

In the rapidly evolving landscape of Artificial Intelligence, Salesforce has unleashed a platform that promises to redefine how businesses operate. This book is your guide to mastering Salesforce’s flagship AI product. Agentforce offers autonomous AI agents to streamline workflows, reduce manual labor, and unlock new productivity levels. This guide illustrates the tremendous opportunities and potential pitfalls of AI agent deployment. You'll learn not just how to build agents, but how to integrate them seamlessly into your organizational ecosystem, ensuring they become true strategic assets rather than experimental technologies. With the help of this book, you will have the necessary skill set to launch your first agents, understand the intricate mechanics of AI agent design, and position your organisation at the cutting edge of the agentic revolution. For Salesforce professionals (administrators, technical developers, consultants, architects, business analysts).