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Author: Edson L P Camacho Publisher: ISBN: Category : Computers Languages : en Pages : 620
Book Description
The Ultimate Guide to Advanced Python and Artificial Intelligence: Unleash the Power of Code! Are you ready to take your Python programming skills to the next level and dive into the exciting world of artificial intelligence? Look no further! We proudly present the comprehensive book written by renowned author Edson L P Camacho: "Advanced Python: Mastering AI." In today's rapidly evolving technological landscape, the demand for AI professionals is soaring. Python, with its simplicity and versatility, has become the go-to language for AI development. Whether you are a seasoned Pythonista or a beginner eager to learn, this book is your gateway to mastering AI concepts and enhancing your programming expertise. What sets "Advanced Python: Mastering AI" apart from other books is its unparalleled combination of in-depth theory and hands-on practicality. Edson L P Camacho, a leading expert in the field, guides you through every step, from laying the foundation of Python fundamentals to implementing cutting-edge AI algorithms. Here's a glimpse of what you'll find within the pages of this comprehensive guide: 1. Python Fundamentals: Review and reinforce your knowledge of Python basics, including data types, control flow, functions, and object-oriented programming. Build a solid foundation to tackle complex AI concepts. 2. Data Manipulation and Visualization: Learn powerful libraries such as NumPy, Pandas, and Matplotlib to handle and analyze data. Understand how to preprocess and visualize data effectively for AI applications. 3. Machine Learning Essentials: Dive into the world of machine learning and explore popular algorithms like linear regression, decision trees, support vector machines, and neural networks. Discover how to train, evaluate, and optimize models for various tasks. 4. Deep Learning and Neural Networks: Delve deeper into neural networks, the backbone of modern AI. Gain insights into deep learning architectures, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs). Implement advanced techniques like transfer learning and generative models. 5. Natural Language Processing (NLP): Explore the fascinating field of NLP and learn how to process and analyze textual data using Python. Discover techniques like sentiment analysis, named entity recognition, and text generation. 6. Computer Vision: Unleash the power of Python for image and video analysis. Build computer vision applications using popular libraries like OpenCV and TensorFlow. Understand concepts like object detection, image segmentation, and image captioning. 7. Reinforcement Learning: Embark on the exciting journey of reinforcement learning. Master the fundamentals of Q-learning, policy gradients, and deep Q-networks. Create intelligent agents that can learn and make decisions in dynamic environments. "Advanced Python: Mastering AI" not only equips you with the theoretical knowledge but also provides numerous real-world examples and projects to reinforce your understanding. Each chapter is accompanied by practical exercises and coding challenges to sharpen your skills and boost your confidence. Don't miss the opportunity to stay ahead in this AI-driven era. Order your copy of "Advanced Python: Mastering AI" today and unlock the full potential of Python programming with artificial intelligence. Take your career to new heights and become a proficient AI developer. Get ready to write the code that shapes the future!
Author: Edson L P Camacho Publisher: ISBN: Category : Computers Languages : en Pages : 620
Book Description
The Ultimate Guide to Advanced Python and Artificial Intelligence: Unleash the Power of Code! Are you ready to take your Python programming skills to the next level and dive into the exciting world of artificial intelligence? Look no further! We proudly present the comprehensive book written by renowned author Edson L P Camacho: "Advanced Python: Mastering AI." In today's rapidly evolving technological landscape, the demand for AI professionals is soaring. Python, with its simplicity and versatility, has become the go-to language for AI development. Whether you are a seasoned Pythonista or a beginner eager to learn, this book is your gateway to mastering AI concepts and enhancing your programming expertise. What sets "Advanced Python: Mastering AI" apart from other books is its unparalleled combination of in-depth theory and hands-on practicality. Edson L P Camacho, a leading expert in the field, guides you through every step, from laying the foundation of Python fundamentals to implementing cutting-edge AI algorithms. Here's a glimpse of what you'll find within the pages of this comprehensive guide: 1. Python Fundamentals: Review and reinforce your knowledge of Python basics, including data types, control flow, functions, and object-oriented programming. Build a solid foundation to tackle complex AI concepts. 2. Data Manipulation and Visualization: Learn powerful libraries such as NumPy, Pandas, and Matplotlib to handle and analyze data. Understand how to preprocess and visualize data effectively for AI applications. 3. Machine Learning Essentials: Dive into the world of machine learning and explore popular algorithms like linear regression, decision trees, support vector machines, and neural networks. Discover how to train, evaluate, and optimize models for various tasks. 4. Deep Learning and Neural Networks: Delve deeper into neural networks, the backbone of modern AI. Gain insights into deep learning architectures, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs). Implement advanced techniques like transfer learning and generative models. 5. Natural Language Processing (NLP): Explore the fascinating field of NLP and learn how to process and analyze textual data using Python. Discover techniques like sentiment analysis, named entity recognition, and text generation. 6. Computer Vision: Unleash the power of Python for image and video analysis. Build computer vision applications using popular libraries like OpenCV and TensorFlow. Understand concepts like object detection, image segmentation, and image captioning. 7. Reinforcement Learning: Embark on the exciting journey of reinforcement learning. Master the fundamentals of Q-learning, policy gradients, and deep Q-networks. Create intelligent agents that can learn and make decisions in dynamic environments. "Advanced Python: Mastering AI" not only equips you with the theoretical knowledge but also provides numerous real-world examples and projects to reinforce your understanding. Each chapter is accompanied by practical exercises and coding challenges to sharpen your skills and boost your confidence. Don't miss the opportunity to stay ahead in this AI-driven era. Order your copy of "Advanced Python: Mastering AI" today and unlock the full potential of Python programming with artificial intelligence. Take your career to new heights and become a proficient AI developer. Get ready to write the code that shapes the future!
Author: Alberto Artasanchez Publisher: Packt Publishing Ltd ISBN: 1839216077 Category : Computers Languages : en Pages : 619
Book Description
New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, chatbots, and more. Key FeaturesCompletely updated and revised to Python 3.xNew chapters for AI on the cloud, recurrent neural networks, deep learning models, and feature selection and engineeringLearn more about deep learning algorithms, machine learning data pipelines, and chatbotsBook Description Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques. What you will learnUnderstand what artificial intelligence, machine learning, and data science areExplore the most common artificial intelligence use casesLearn how to build a machine learning pipelineAssimilate the basics of feature selection and feature engineeringIdentify the differences between supervised and unsupervised learningDiscover the most recent advances and tools offered for AI development in the cloudDevelop automatic speech recognition systems and chatbotsApply AI algorithms to time series dataWho this book is for The intended audience for this book is Python developers who want to build real-world Artificial Intelligence applications. Basic Python programming experience and awareness of machine learning concepts and techniques is mandatory.
Author: Giuseppe Bonaccorso Publisher: Packt Publishing Ltd ISBN: 1789951720 Category : Computers Languages : en Pages : 748
Book Description
Demystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problems Key FeaturesMaster supervised, unsupervised, and semi-supervised ML algorithms and their implementation Build deep learning models for object detection, image classification, similarity learning, and moreBuild, deploy, and scale end-to-end deep neural network models in a production environmentBook Description This Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You'll be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this Learning Path will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries. You'll bring the use of TensorFlow and Keras to build deep learning models, using concepts such as transfer learning, generative adversarial networks, and deep reinforcement learning. Next, you'll learn the advanced features of TensorFlow1.x, such as distributed TensorFlow with TF clusters, deploy production models with TensorFlow Serving. You'll implement different techniques related to object classification, object detection, image segmentation, and more. By the end of this Learning Path, you'll have obtained in-depth knowledge of TensorFlow, making you the go-to person for solving artificial intelligence problems This Learning Path includes content from the following Packt products: Mastering Machine Learning Algorithms by Giuseppe BonaccorsoMastering TensorFlow 1.x by Armando FandangoDeep Learning for Computer Vision by Rajalingappaa ShanmugamaniWhat you will learnExplore how an ML model can be trained, optimized, and evaluatedWork with Autoencoders and Generative Adversarial NetworksExplore the most important Reinforcement Learning techniquesBuild end-to-end deep learning (CNN, RNN, and Autoencoders) modelsWho this book is for This Learning Path is for data scientists, machine learning engineers, artificial intelligence engineers who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. You will encounter the advanced intricacies and complex use cases of deep learning and AI. A basic knowledge of programming in Python and some understanding of machine learning concepts are required to get the best out of this Learning Path.
Author: Zonunfeli Ralte Publisher: BPB Publications ISBN: 9355518978 Category : Computers Languages : en Pages : 421
Book Description
Learn to unleash the power of AI creativity KEY FEATURES ● Understand the core concepts related to generative AI. ● Different types of generative models and their applications. ● Learn how to design generative AI neural networks using Python and TensorFlow. DESCRIPTION This book researches the intricate world of generative Artificial Intelligence, offering readers an extensive understanding of various components and applications in this field. The book begins with an in-depth analysis of generative models, providing a solid foundation and exploring their combination nuances. It then focuses on enhancing TransVAE, a variational autoencoder, and introduces the Swin Transformer in generative AI. The inclusion of cutting edge applications like building an image search using Pinecone and a vector database further enriches its content. The narrative shifts to practical applications, showcasing GenAI's impact in healthcare, retail, and finance, with real-world examples and innovative solutions. In the healthcare sector, it emphasizes AI's transformative role in diagnostics and patient care. In retail and finance, it illustrates how AI revolutionizes customer engagement and decision making. The book concludes by synthesizing key learnings, offering insights into the future of generative AI, and making it a comprehensive guide for diverse industries. Readers will find themselves equipped with a profound understanding of generative AI, its current applications, and its boundless potential for future innovations. WHAT YOU WILL LEARN ● Acquire practical skills in designing and implementing various generative AI models. ● Gain expertise in vector databases and image embeddings, crucial for image search and data retrieval. ● Navigate challenges in healthcare, retail, and finance using sector specific insights. ● Generate images and text with VAEs, GANs, LLMs, and vector databases. ● Focus on both traditional and cutting edge techniques in generative AI. WHO THIS BOOK IS FOR This book is for current and aspiring emerging AI deep learning professionals, architects, students, and anyone who is starting and learning a rewarding career in generative AI. TABLE OF CONTENTS 1. Introducing Generative AI 2. Designing Generative Adversarial Networks 3. Training and Developing Generative Adversarial Networks 4. Architecting Auto Encoder for Generative AI 5. Building and Training Generative Autoencoders 6. Designing Generative Variation Auto Encoder 7. Building Variational Autoencoders for Generative AI 8. Fundamental of Designing New Age Generative Vision Transformer 9. Implementing Generative Vision Transformer 10. Architectural Refactoring for Generative Modeling 11. Major Technical Roadblocks in Generative AI and Way Forward 12. Overview and Application of Generative AI Models 13. Key Learnings
Author: Perry Xiao Publisher: John Wiley & Sons ISBN: 1119820960 Category : Computers Languages : en Pages : 724
Book Description
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.
Author: John S Code Publisher: ISBN: Category : Languages : en Pages : 336
Book Description
Are you new to machine learning? Do you want to learn how to do machine learning with Python? Have you been thinking of learning Python as your first programming language?Artificial intelligent, Data analysis, Coding languages are subjects you need to start a super career today. The use of machine learning offers incredible opportunities!This ultimate book will give you the opportunity to understand coding languages and analysing big data to help the decision makers into meaningful information.Why with Python? Because Python is a powerful interpreted language and the best programming language to start with.Python is a complete language and platform where you can apply both research and development production. This book includes: Python Programming for Beginners This book can be your easy guide to understand coding language, Python programming, and data analysis with tricks and tools. It comes with 11 chapters that will teach you about python programming. Python Machine Learning It can be your essential book to know about artificial intelligence, neural network, mastering, and deep learning about the fundamentals of ML with Python. It consists of 12 chapters that will help you hone your skills and knowledge about machine learning. Improve your coding skills starting with an easy guide and master the fundamentals of machine learning with Python. You do not need any experience to change your career, just learn this book. So, what are you waiting for? Purchase yours today!
Author: Clive Campbell Publisher: ISBN: 9781801547673 Category : Computers Languages : en Pages : 604
Book Description
THIS BOOK INCLUDES: Python for beginners PYTHON PROGRAMMING - The Ultimate Guide from beginners to Experts PYTHON PROGRAMMING - The Ultimate Expert Guide . You Are About to Discover The Ins And Outs Of Python Programming Language From The Basics To Its Application In Advanced Computing Concepts Like Machine Learning, Computer Science, Artificial Intelligence And More! Python is now: The preferred programming language for advanced computing concepts like data analytics, machine learning, artificial intelligence, big data, computer science and more The most taught first programming language One of the most common used programming languages in the world The programming language that has been used to write code for important processes on some of the most popular websites in the world like Facebook, Dropbox, Google Maps, YouTube, Instagram and many others Do you know why? The short answer is "because it works". And the long answer is this: "It is highly scalable, easy to use, with a rich powerful library that make it possible to use it for everything from writing simple code to advanced computing, a very active online community, a large collection of third party modules and packages as well as the fact that it also supports object oriented development!" By virtue that you are reading this, it is clear you want to start learning programming with python, from the basics all the way to the advanced computing stuff. And this 3 in 1 book is about to show you the ins and outs of python to do just that. I know you have lots of questions going through your mind... Where exactly do you start as you learn python? Why should you make python your programming language of choice whether you are a complete beginner to programming or not? How do you write your first program with python? How can you start using python for advanced computing stuff like artificial intelligence, robotics, machine learning, data analytics, big data, data science and the likes? If you have these and other related questions, this 3 in 1 book is for you so keep reading. More precisely, this 3 in 1 book will teach you: An in-depth analysis of python; what it is and how to install it on different operating systems How you stand to benefit by learning Python Why python is considered the most suitable programming language for advanced computing such as in machine learning, deep learning, artificial intelligence etc. Steps to take to write your very first program on python Step by step process to perform data analysis with python Everything you need to know about variables in python The most suitable python libraries you should use for advanced computing How to leverage the power of python to handle a variety of machine learning algorithms How you can insert comments in python to keep your code clean How to work with files on python Simple projects to get you started with python Varied data types used in python Powerful tips for successful use of python and how to handle any problems in code that may arise And MUCH MORE! Even if this is your first programming language to learn, you are in safe hands, as this book will break down the seemingly complex terms and concepts using simple, straightforward language to enable you put what you learn into action. Click Buy Now to get started!
Author: Nicholas Ayden Publisher: ISBN: 9781707051939 Category : Languages : en Pages : 194
Book Description
Are you keen to learn Python Programming? Have you wanted to learn how to become a Python programmer? If so, this guide is the perfect match for people just like you! A general-purpose programming language, whose expansion and popularity is relatively recent. This is Python, a commitment to simplicity, versatility, and rapidity of development. Python is a platform-independent and object-oriented scripting language prepared to perform any type of programming language, from Windows applications to network servers or even web pages. Python is an interpreted language. That means that, unlike languages like C and its variants, Python does not need to be compiled before it is run. Other interpreted languages include PHP and Ruby. Writing Python code is quick but running it is often slower than compiled languages. Fortunately，Python allows the inclusion of C based extensions so bottlenecks can be optimized away and often are. The numpy package is a good example of this, it's really quite quick because a lot of the number-crunching it does isn't actually done by Python! What Is Python For? One of the main advantages of learning Python is the possibility of creating a code with great readability, which saves time and resources, which facilitates its understanding and implementation. These factors and others that you will see later, have made Python become one of the most used programming languages. From web applications to artificial intelligence, Python uses are endless. Some benefits of using Python- Python comprises of a huge standard library for most Internet platforms like Email, HTML, etc. Provide easy readability due to use of square brackets Easy-to-learn for beginners Having the built-in data types saves programming time and effort from declaring variables Inside this book, Python Programming: The Complete Guide to Learn Python for Data Science, AI, Machine Learning, GUI and More With Practical Exercises and Interview Questions, you will learn a valuable skill that will improve your coding expertise! Here's what we will talk about in this book: Python Features Basics of Python Data Structures & Object-Oriented Python File management Conditionals, Iterables & Regex in Python Simple recap projects Files & Error Handling In Python Some powerful tips and tricks for beginner Python programmers that will fast-track your journey to becoming a master And Much More! This book will introduce you to the Python programming language and make sure that after reading the guide, you shall be aware of the basics of the language and able to create simple Python programs. This book will help you to learn Python programming, from beginner to intermediate then advanced level. As such, this book will handle everything you need to build a strong understanding of the basics of Python programming language. If you've been thinking seriously about digging into programming, Python Programming: The Complete Guide to Learn Python for Data Science, AI, Machine Learning, GUI and More With Practical Exercises and Interview Questions, will get you up to speed and this guide is going to furnish you with all the information you need to start writing useful software and applications in as little time as possible. Why wait any longer? "Add to Cart" to receive your book instantly!
Author: Nicholas Ayden Publisher: Crawford Press ISBN: 9781990059926 Category : Computers Languages : en Pages : 188
Book Description
Are you keen to learn Python Programming? Have you wanted to learn how to become a Python programmer? If so, this guide is the perfect match for people just like you! A general-purpose programming language, whose expansion and popularity is relatively recent. This is Python, a commitment to simplicity, versatility, and rapidity of development. Python is a platform-independent and object-oriented scripting language prepared to perform any type of programming language, from Windows applications to network servers or even web pages. Python is an interpreted language. That means that, unlike languages like C and its variants, Python does not need to be compiled before it is run. Other interpreted languages include PHP and Ruby. Some benefits of using Python- Python comprises a huge standard library for most Internet platforms like Email, HTML, etc. Provide easy readability due to the use of square brackets Easy-to-learn for beginners Having the built-in data types saves programming time and effort from declaring variables Inside this book, Python Programming: The Complete Guide to Learn Python for Data Science, AI, Machine Learning, GUI, and More With Practical Exercises and Interview Questions, you will learn a valuable skill that will improve your coding expertise! Here's what we will talk about in this book: Python Features Basics of Python Data Structures & Object-Oriented Python File management Conditionals, Iterables & Regex in Python Simple recap projects Files & Error Handling In Python Some powerful tips and tricks for beginner Python programmers that will fast-track your journey to becoming a master And Much More! Why wait any longer? "Add to Cart" to receive your book instantly!
Author: Prateek Joshi Publisher: Packt Publishing Ltd ISBN: 1786469677 Category : Computers Languages : en Pages : 437
Book Description
Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.
Author: Edson L P Camacho
Author: Edson L P Camacho
Author: Alberto Artasanchez
Author: Giuseppe Bonaccorso
Author: Zonunfeli Ralte
Author: Perry Xiao
Author: John S Code
Author: Clive Campbell
Author: Nicholas Ayden
Author: Nicholas Ayden
Author: Prateek Joshi