AI-Assisted Programming for Web and Machine Learning - Improve your development workflow with ChatGPT and GitHub Copilot

Mariona Fernández, Anjali Jain, Christoffer Noring, Ajit Jaokar, Ayşe Mutlu

Synopsis

AI-Assisted Programming for Web and Machine Learning shows you how to build applications and machine learning models and automate repetitive tasks.Part 1 focuses on coding, from building a user interface to the backend. You’ll use prompts to create the appearance of an app using HTML, styling with CSS, adding behavior with JavaScript, and working with multiple viewports. Next, you’ll build a web API with Python and Flask and refactor the code to improve code readability. Part 1 ends with using GitHub Copilot to improve the maintainability and performance of existing code.Part 2 provides a prompting toolkit for data science from data checking (inspecting data and creating distribution graphs and correlation matrices) to building and optimizing a neural network. You’ll use different prompt strategies for data preprocessing, feature engineering, model selection, training, hyperparameter optimization, and model evaluation for various machine learning models and use cases.The book closes with chapters on advanced techniques on GitHub Copilot and software agents. There are tips on code generation, debugging, and troubleshooting code. You’ll see how simpler and AI-powered agents work and discover tool calling.

Disponible depuis: 30/08/2024.

Longueur d'impression: 602 pages.

Science et Technologie

D'autres livres qui pourraient vous intéresser

CISM - Ace Your Certified...

Victor Penrose

CISM: Certified Information Security Manager 
⭐⭐ Simplified Guide & Explanations Included ⭐⭐ 
Are you aiming to advance your career and enhance your knowledge by successfully passing the CISM Exam 2024-2025? 
Looking for a thorough guide that includes all the necessary tools to pass the CISM Exam 2024-2025? 
Your search ends here! 
This audiobook is your ultimate companion for deepening your understanding, honing your skills, and engaging in hands-on exercises. With this guide, you're set up for success. 
Updated for the CISM 2024-2025 Exam Structure. 
Key features of this enriched guide: 
- In-depth insights into the Certified Information Security Manager (CISM) Exam 2024-2025 Certification 
- Detailed explanations of the Certified Information Security Manager (CISM) 
- Effective strategies for exam preparation and tackling 
Our guide sets itself apart with its comprehensive coverage, essential for your exam success. Concepts aren't merely skimmed over; they are explored with precision. 
Please note that this guide is independent and not affiliated with any official CISM entity, provided solely for your benefit. 
Designed with a clear structure and easy-to-understand language, our CISM Exam Guide 2024-2025 ensures smooth transitions between topics. Say goodbye to dense jargon and welcome clear, precise, and technically accurate content. 
Why wait? Click the BUY NOW button, secure your guide, and embark on your journey to CISM Exam 2024-2025 success!

Voir livre

That's All I Have To Say For Now

Ronald Franklin Saia

Ronald Franklin Saia was born a grandson to an Italian from Sutera, Sicily. Growing up in rural Kansas gave Ronald a deep feeling in his soul for the outdoors. His appreciation for Creation has influenced his verbiage and style.

Voir livre

What Do Bees Think About?

Mathieu Lihoreau

Explore the mind of a bee and learn what drives its behavior. 
 
 
 
Have you ever observed a bee up close and wondered what was going on inside its head? Like ours, insects' brains take up most of the space in their heads, but their brains are smaller than a grain of rice, only 0.0002% as large as ours. But what purpose does the insect brain serve, and how does that drive their creativity, morality, and emotions? 
 
 
 
Bees in particular exhibit unexpected and fascinating cognitive skills. In What Do Bees Think About? animal cognition researcher Mathieu Lihoreau examines a century of research into insect evolution and behavior. He explains recent scientific discoveries, recounts researchers' anecdotes, and reflects on the cognition of these fascinating creatures. Lihoreau's and other scientists' research on insects reinforces the importance of protecting and preserving insects such as bees: after all, our survival on the planet is deeply dependent on theirs. This book provides an eye-opening window into the world of insect cognition and echoes an important ecological message about bees—they are intelligent creatures sharing the same fragile ecosystem as us.

Voir livre

Introduction to Aquatic Ecosystems

Santiago Machain

Introduction to Aquatic Ecosystems is the first book in an engaging series designed for readers of all backgrounds. It delves into the fascinating world of aquatic ecosystems, unraveling the mysteries of life beneath the surface and exploring the vital processes, organisms, and environments that sustain our planet's water systems. From freshwater rivers and wetlands to vast oceans and vibrant coral reefs, the book delves into the interconnected web of life that thrives in these habitats. 
This book explains complex concepts like the water cycle, energy flow, and biodiversity in clear, accessible language. It also discusses the primary producers that power aquatic food webs, the roles of mangroves and seagrasses in coastal ecosystems, and the delicate balance of life in intertidal zones. 
Whether you're an aspiring ecologist, a curious nature enthusiast, or someone seeking to deepen their knowledge of the natural world, this book provides an engaging and informative journey into the heart of Earth's water systems.

Voir livre

Introduction to Computers -...

Virversity Online Courses

This course offers a thorough understanding of computers, beneficial for beginners or those seeking to refresh their skills. You'll gain insights into computer components, their functions, and operating systems, empowering you to use technology confidently and efficiently.Key Learnings:- Fundamental understanding of computer components and functions.- Explore various operating systems.- Develop effective file management skills.- Master software and application usage.- Navigate the internet safely and efficiently.- Enhance communication with effective email management.- Create professional text documents, spreadsheets, and presentations.- Learn essential computer security practices.- Understand cloud computing benefits.- Troubleshoot common computer problems.Engage in practical lessons that cover essential computer knowledge, from foundational components to advanced functionalities. Learn how different operating systems work and when to use them. Improve your file organization for a more manageable digital workspace, and explore key software vital for daily tasks.Enhance your web browsing techniques for safer, more efficient internet use, and develop proficient email communication skills. Create and edit professional documents, equipping yourself for personal and professional success. Understand computer security to protect your data and devices from potential threats.The course concludes with advanced topics such as cloud computing and troubleshooting, giving you a well-rounded skill set for modern digital needs. Upon completion, you'll have a solid grasp of computer fundamentals, allowing you to confidently and effectively navigate the digital world and tackle everyday computer challenges.

Voir livre

Python Machine Learning for...

Daniel Garfield

"Python Machine Learning for Beginners: Unlocking the Power of Data" is a comprehensive beginner's guide that demystifies the world of machine learning using the Python programming language. Whether you are a student, a professional looking to expand your skillset, or simply curious about the fascinating field of machine learning, this book is your gateway to unlocking the power of data.
In this book, you will embark on a journey that takes you from the fundamentals of Python programming to understanding the core principles and techniques of machine learning. Step by step, you will learn how to preprocess and explore data, engineer features, build predictive models, and evaluate their performance. With hands-on examples and practical exercises, you will gain a solid foundation in supervised and unsupervised learning algorithms, including linear regression, logistic regression, decision trees, random forests, support vector machines, clustering, and dimensionality reduction.
Delving into the realm of deep learning, you will discover the power of neural networks and their applications in image classification, sequence data analysis, and transfer learning. You will also explore the ethical considerations and challenges associated with deploying machine learning models in real-world scenarios.
Throughout the book, the emphasis is on making complex concepts accessible to beginners. With clear explanations, code snippets, and illustrative visualizations, you will develop a deep understanding of machine learning techniques and their practical implementation using Python's popular libraries such as scikit-learn, TensorFlow, and Keras.
"Python Machine Learning for Beginners: Unlocking the Power of Data" is your essential companion. By the end of this book, you will be equipped with the knowledge and confidence to harness the power of data and embark on your own machine learning projects.

Voir livre