Hands On Ai Programming With Python

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Hands On Ai Programming With Python

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Author : Khushabu Gupta
language : en
Publisher: Subrat Gupta
Release Date : 2025-09-30

Hands On Ai Programming With Python written by Khushabu Gupta and has been published by Subrat Gupta this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-30 with Computers categories.

Unlock the full potential of artificial intelligence with 'Hands-On AI Programming with Python.' This comprehensive guide empowers beginners and seasoned developers alike to master modern AI techniques from the ground up. Dive into practical, real-world projects that cover machine learning, deep learning, and generative AI using powerful frameworks like TensorFlow, PyTorch, and FastAPI. Learn to build, train, and deploy smarter applications using Python, tackle hands-on projects such as image recognition, natural language processing, and AI-powered APIs, and grasp industry best practices for performance and scalability. This 2025 edition is updated to reflect the latest trends, tools, and workflows in the rapidly-evolving AI landscape. With step-by-step instructions, code examples, and expert insights, you’ll develop the confidence to innovate and create robust AI solutions. Whether you're an aspiring data scientist, an AI enthusiast, or a developer seeking to expand your skill set, this book is the key to mastering applied AI programming and advancing your career in today’s tech-driven world.

Artificial Intelligence Programming With Python

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Author : Perry Xiao
language : en
Publisher: John Wiley & Sons
Release Date : 2022-02-21

Artificial Intelligence Programming With Python written by Perry Xiao and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-21 with Computers categories.

A hands-on roadmap to using Python for artificial intelligence programming In Practical Artificial Intelligence Programming with Python: From Zero to Hero, veteran educator and photophysicist Dr. Perry Xiao delivers a thorough introduction to one of the most exciting areas of computer science in modern history. The book demystifies artificial intelligence and teaches readers its fundamentals from scratch in simple and plain language and with illustrative code examples. Divided into three parts, the author explains artificial intelligence generally, machine learning, and deep learning. It tackles a wide variety of useful topics, from classification and regression in machine learning to generative adversarial networks. He also includes: Fulsome introductions to MATLAB, Python, AI, machine learning, and deep learning Expansive discussions on supervised and unsupervised machine learning, as well as semi-supervised learning Practical AI and Python “cheat sheet” quick references This hands-on AI programming guide is perfect for anyone with a basic knowledge of programming—including familiarity with variables, arrays, loops, if-else statements, and file input and output—who seeks to understand foundational concepts in AI and AI development.

Ai Crash Course

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Author : Hadelin de Ponteves
language : en
Publisher:
Release Date : 2019-11-28

Ai Crash Course written by Hadelin de Ponteves and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-28 with Computers categories.

This friendly and accessible guide to AI theory and programming in Python requires no maths or data science background. Key Features Roll up your sleeves and start programming AI models No math, data science, or machine learning background required Packed with hands-on examples, illustrations, and clear step-by-step instructions 5 hands-on working projects put ideas into action and show step-by-step how to build intelligent software Book Description AI is changing the world - and with this book, anyone can start building intelligent software! Through his best-selling video courses, Hadelin de Ponteves has taught hundreds of thousands of people to write AI software. Now, for the first time, his hands-on, energetic approach is available as a book. Taking a graduated approach that starts with the basics before easing readers into more complicated formulas and notation, Hadelin helps you understand what you really need to build AI systems with reinforcement learning and deep learning. Five full working projects put the ideas into action, showing step-by-step how to build intelligent software using the best and easiest tools for AI programming: Google Colab Python TensorFlow Keras PyTorch AI Crash Course teaches everyone to build an AI to work in their applications. Once you've read this book, you're only limited by your imagination. What you will learn Master the key skills of deep learning, reinforcement learning, and deep reinforcement learning Understand Q-learning and deep Q-learning Learn from friendly, plain English explanations and practical activities Build fun projects, including a virtual-self-driving car Use AI to solve real-world business problems and win classic video games Build an intelligent, virtual robot warehouse worker Who this book is for If you want to add AI to your skillset, this book is for you. It doesn't require data science or machine learning knowledge. Just maths basics (high school level).

Python Programming For Beginners

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Author : Wojciech Matusik
language : en
Publisher: Independently Published
Release Date : 2025-07-04

Python Programming For Beginners written by Wojciech Matusik and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-04 with Computers categories.

Python Artificial Intelligence Development: AI & ML Essentials and Python AI Programming Book is your all-in-one guide to mastering Python for Artificial Intelligence, Machine Learning, and real-world applications. Whether you're a complete beginner or an aspiring developer seeking to build AI-powered solutions, this book provides a comprehensive learning path tailored to practical success. From foundational Python programming to cutting-edge AI projects and financial applications, each chapter is carefully crafted to teach, inspire, and empower you to create intelligent systems that matter. Unlock the power of AI with Python through hands-on projects, easy-to-understand explanations, and detailed examples covering both beginner and intermediate levels. This book combines essential AI and ML theory with practical tools to help you build solutions that work in real-world scenarios-from chatbots and data models to finance-based analytics. Inside this book, you will discover: Master Python fundamentals tailored for AI beginners Learn the essential building blocks of Python programming with a focus on Artificial Intelligence applications. You'll gain a strong foundation in variables, loops, functions, and object-oriented programming while preparing for more complex AI tasks. Explore artificial intelligence and machine learning techniques step by step Understand how AI systems are designed by diving into supervised, unsupervised, and reinforcement learning models. This section equips you with theoretical knowledge and practical code implementations in Python using key libraries. Build real-world AI projects with Python to sharpen your skills Develop and deploy intelligent systems like recommendation engines, natural language processors, AI chatbots, and image recognition apps. Each project includes annotated code, development strategy, and optimization tips. Integrate Python into finance applications with AI-powered insights Discover how Python is transforming the finance world with predictive analytics, algorithmic trading, fraud detection, and data visualization. Learn how to write efficient Python scripts that automate tasks and deliver financial intelligence. Boost your career with in-demand Python AI programming techniques Learn how to use libraries such as NumPy, pandas, scikit-learn, TensorFlow, and Keras to solve real-life problems. Build a portfolio of projects that showcase your Python AI development skills to future employers or clients. Designed for learners who want clarity, confidence, and real progress This book eliminates technical jargon and teaches through visual diagrams, clear examples, and simplified code walkthroughs. Whether you're self-learning or supplementing a course, it's your ideal resource for AI development in Python. Start your journey into the world of Artificial Intelligence today, and equip yourself with the tools and knowledge to create intelligent applications using Python!

Python Ai Programming

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Author : Patrick J
language : en
Publisher: GitforGits
Release Date : 2024-01-03

Python Ai Programming written by Patrick J and has been published by GitforGits this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-03 with Computers categories.

This book aspires young graduates and programmers to become AI engineers and enter the world of artificial intelligence by combining powerful Python programming with artificial intelligence. Beginning with the fundamentals of Python programming, the book gradually progresses to machine learning, where readers learn to implement Python in developing predictive models. The book provides a clear and accessible explanation of machine learning, incorporating practical examples and exercises that strengthen understanding. We go deep into deep learning, another vital component of AI. Readers gain a thorough understanding of how Python's frameworks and libraries can be used to create sophisticated neural networks and algorithms, which are required for tasks such as image and speech recognition. Natural Language Processing is also covered in the book, with fundamental concepts and techniques for interpreting and generating human-like language covered. The book's focus on computer vision and reinforcement learning is distinctive, presenting these cutting-edge AI fields in an approachable manner. Readers will learn how to use Python's intuitive programming paradigm to create systems that interpret visual data and make intelligent decisions based on environmental interactions. The book focuses on ethical AI development and responsible programming, emphasizing the importance of developing AI that is fair, transparent, and accountable. Each chapter is designed to improve learning by including practical examples, case studies, and exercises that provide hands-on experience. This book is an excellent starting point for anyone interested in becoming an AI engineer, providing the necessary foundational knowledge and skills to delve into the fascinating world of artificial intelligence. Key Learnings Explore Python basics and AI integration for real-world application and career advancement. Experience the power of Python in AI with practical machine learning techniques. Practice Python's deep learning tools for innovative AI solution development. Dive into NLP with Python to revolutionize data interpretation and communication strategies. Simple yet practical understanding of reinforcement learning for strategic AI decision making. Uncover ethical AI development and frameworks, and concepts of responsible and trustworthy AI. Harness Python's capabilities for creating AI applications with a focus on fairness and bias. Table of Content Introduction to Artificial Intelligence Python for AI Data as Fuel for AI Machine Learning Foundation Essentials of Deep Learning NLP and Computer Vision Hands-on Reinforcement Learning Ethics to AI

Ai Crash Course

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Author : Hadelin de Ponteves
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-11-29

Ai Crash Course written by Hadelin de Ponteves and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-29 with Computers categories.

Unlock the power of artificial intelligence with top Udemy AI instructor Hadelin de Ponteves. Key FeaturesLearn from friendly, plain English explanations and practical activitiesPut ideas into action with 5 hands-on projects that show step-by-step how to build intelligent softwareUse AI to win classic video games and construct a virtual self-driving carBook Description Welcome to the Robot World ... and start building intelligent software now! Through his best-selling video courses, Hadelin de Ponteves has taught hundreds of thousands of people to write AI software. Now, for the first time, his hands-on, energetic approach is available as a book. Starting with the basics before easing you into more complicated formulas and notation, AI Crash Course gives you everything you need to build AI systems with reinforcement learning and deep learning. Five full working projects put the ideas into action, showing step-by-step how to build intelligent software using the best and easiest tools for AI programming, including Python, TensorFlow, Keras, and PyTorch. AI Crash Course teaches everyone to build an AI to work in their applications. Once you've read this book, you're only limited by your imagination. What you will learnMaster the basics of AI without any previous experienceBuild fun projects, including a virtual-self-driving car and a robot warehouse workerUse AI to solve real-world business problemsLearn how to code in PythonDiscover the 5 principles of reinforcement learningCreate your own AI toolkitWho this book is for If you want to add AI to your skillset, this book is for you. It doesn't require data science or machine learning knowledge. Just maths basics (high school level).

Python For Ai

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Author : Gilbert Gutiérrez
language : en
Publisher: Independently Published
Release Date : 2025-01-31

Python For Ai written by Gilbert Gutiérrez and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-31 with Computers categories.

Python for AI: A Beginner's Guide to Coding Intelligence is a step-by-step, beginner-friendly guide that teaches you the fundamentals of Python programming while introducing essential AI concepts. This book is designed for absolute beginners, making it the perfect resource for students, professionals, and AI enthusiasts who want to dive into machine learning and artificial intelligence without prior coding experience. Why This Book? Beginner-Friendly Approach: No prior programming knowledge required-this book starts with the basics and gradually introduces AI concepts. Hands-On Learning: Step-by-step tutorials and real-world AI projects help you build practical skills. Essential Python Knowledge: Master Python fundamentals and explore powerful libraries like NumPy, Pandas, and Scikit-Learn. Machine Learning Made Simple: Learn how AI models work and create your first machine learning models using Python. Real-World AI Applications: Work on projects like chatbots, image recognition, and AI-driven predictions. Future-Proof Your Skills: Gain knowledge in AI and machine learning-one of the most in-demand skills in tech today. What You Will Learn in This Book This book is structured into four main sections, each designed to build your AI expertise step by step. Part 1: Python Foundations for AI Before diving into AI, you'll learn Python from scratch. This section covers: What AI is and why Python is the top choice for AI development. Python basics: variables, data types, loops, functions, and more. Data structures and libraries essential for AI programming. Part 2: Essential AI Tools in Python After mastering Python, you'll explore the tools that power AI, including: How to collect, clean, and preprocess data for AI models. Introduction to machine learning and key algorithms. Hands-on projects using Scikit-Learn, TensorFlow, and PyTorch. Part 3: Hands-on AI Projects Theory meets practice as you build real AI applications: A chatbot using Natural Language Processing (NLP). An image recognition model with AI-powered object detection. Predictive analytics for forecasting trends with machine learning. Part 4: Next Steps in AI Mastery Looking ahead, this section explores: AI ethics and responsible AI development. Advanced topics like deep learning and reinforcement learning. The roadmap to mastering AI and launching your AI career. Who Should Read This Book? Absolute Beginners - If you've never written a line of code before, this book provides a simple and structured introduction to Python and AI. Aspiring Data Scientists & AI Enthusiasts - If you're eager to explore AI concepts, machine learning, and neural networks, this book is a great starting point. Students & Professionals - If you're studying AI or working in tech and want to enhance your skills, this book will help you grasp the fundamentals quickly. What Makes This Book Unique? Step-by-Step Learning: Each chapter is structured to gradually build your AI knowledge. Hands-On Projects: Work on real-world AI applications to solidify your skills. Simple and Clear Explanations: Complex AI concepts are broken down into easy-to-understand steps. Practical Examples & Exercises: Learn by doing, with coding exercises and challenges at the end of each chapter. AI Career Roadmap: Get guidance on the next steps in your AI journey, from further learning to landing a job in AI. Get your copy now and start your journey into AI!

Hands On Python And Cntk

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Author : Sarful Hassan
language : en
Publisher: Independently Published
Release Date : 2025-03-13

Hands On Python And Cntk written by Sarful Hassan and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-13 with Computers categories.

Are you looking to master deep learning, artificial intelligence (AI), and Python programming? "Hands-On Python and CNTK: A Practical Guide to Deep Learning and AI Development" is the perfect resource for developers, machine learning enthusiasts, and data scientists who want to build AI applications using Microsoft's Cognitive Toolkit (CNTK). This practical guide will walk you through every step of the process, from setting up CNTK to developing powerful deep learning models. Whether you're a beginner or an experienced developer, this book will give you the hands-on experience you need to start creating cutting-edge AI models with Python and CNTK. Key Highlights: Deep Learning with Python and CNTK: Master Python programming and learn how to use CNTK for building neural networks and deep learning applications. Hands-on Deep Learning Projects: Work on real-world projects such as image classification, speech recognition, and time series forecasting using Python, CNTK, and deep learning techniques. Neural Networks and GPU Acceleration: Build efficient neural networks and speed up training using GPU acceleration for high-performance computation in deep learning. Advanced AI Techniques: Dive into advanced topics like convolutional neural networks (CNNs) for image classification, recurrent neural networks (RNNs) for NLP, and reinforcement learning for predictive modeling. Optimize Deep Learning Models: Learn advanced optimization techniques, including hyperparameter tuning, early stopping, model checkpoints, and how to deploy scalable AI models. CNTK for Scalable AI Solutions: Utilize CNTK's parallelization features for large-scale model training and explore the world of distributed training. Why Should You Read This Book? Comprehensive Guide: Gain a deep understanding of deep learning, from the basics of Python programming to advanced AI model development with CNTK. Practical Approach: This hands-on book is packed with exercises, Python code examples, and projects that will help you apply what you learn immediately. Build Real-World AI Applications: Apply deep learning to real-world tasks like speech recognition, image classification, NLP, forecasting, and more. Optimized for Performance: Learn to work with GPU acceleration and parallelized training to build fast, scalable models. Unlock the Power of CNTK: Learn how to leverage Microsoft CNTK to accelerate your AI projects, ensuring high efficiency and performance. Topics Covered: Introduction to CNTK and Python for deep learning Understanding neural networks and how they work Building custom layers, activation functions, and loss functions Working with advanced models like CNNs and RNNs Implementing reinforcement learning and transfer learning Optimizing AI models for better performance Using GPU acceleration for faster training If you're ready to start building AI applications and solve real-world problems using deep learning, this book is the perfect companion. Whether you're interested in image recognition, speech analysis, or reinforcement learning, Hands-On Python and CNTK is the only resource you need to become an expert in AI development and machine learning.

Parallel Ai Programming In Python

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Author : Landen Howe
language : en
Publisher: Independently Published
Release Date : 2025-10-17

Parallel Ai Programming In Python written by Landen Howe and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-17 with Computers categories.

Parallel AI Programming in Python: Build Supercharged ML Workflows That Perform in Production. Are you wrestling with slow model training, stalled data pipelines, or unpredictable inference performance? You're not alone-and you don't have to accept sluggish results as the norm. Parallel AI Programming in Python offers the definitive, hands-on guide to turbocharging your machine learning workflows. From multicore CPU tricks to multi-GPU strategies and distributed architectures, this book equips you with the proven, production-ready techniques that top AI teams use every day. Inside, you'll discover how to Leverage Python's threading and multiprocessing to blast past the Global Interpreter Lock Build high-throughput I/O pipelines with asyncio, Dask, and Ray for lightning-fast data ingestion Master GPU parallelism with PyTorch DDP, NCCL tuning, and mixed-precision training Scale across clusters using MPI, Ray, and Dask-and know exactly when adding nodes stops delivering gains Optimize numeric kernels with NumPy, Numba, Cython, and native extensions for peak performance Implement real-time, fault-tolerant pipelines with Kafka/Pulsar, backpressure, and exactly-once semantics Profile, benchmark, and tune your code with cProfile, py-spy, perf, and NVIDIA Nsight to fix bottlenecks fast When you put this book into practice, you will Cut training times from days to hours using multi-GPU and distributed training patterns Architect data pipelines that process millions of records per second without dropping a message Deploy inference services that scale horizontally and maintain sub-100ms latency under heavy load Detect and remedy performance pitfalls-from memory thrashing to straggler tasks-before they hit production Maintain rock-solid environments with containerized setups, dependency pinning, and reproducible scripts Whether you're an ML engineer, data scientist, or infrastructure developer, Parallel AI Programming in Python delivers hands-on labs, clear code examples, and concise checklists to transform sluggish prototypes into production-grade systems. Take control of your AI pipeline performance today-add this essential resource to your toolkit and watch your Python workflows surge to new speeds.

Hands On Python Programming For Beginners

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Author : AI. Publishing
language : en
Publisher:
Release Date : 2021

Hands On Python Programming For Beginners written by AI. Publishing and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.