Mastering Artificial Intelligence
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Mastering Artificial Intelligence
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Author : Stefan Hutu
language : en
Publisher: Stefan Hutu
Release Date : 2025-06-01
Mastering Artificial Intelligence written by Stefan Hutu and has been published by Stefan Hutu this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-01 with Computers categories.
A COMPLETE GUIDE TO MASTERING ARTIFICIAL INTELLIGENCE Learn how to prompt, automate, and create with AI efficiently, creatively and independently. This manual is designed to give you practical mastery of artificial intelligence, with real-world applications and clear strategies. Clear, structured, and highly practical, it offers a hands-on approach to prompt engineering without unnecessary theory or complexity. WHAT YOU WILL LEARN: How to write precise and effective prompts. How to automate tasks, generate ideas, solve problems, and build custom workflows. How to integrate AI into your daily life, business, creativity and learning. WHAT THIS BOOK CONTAINS: Over 750 carefully selected prompts across key areas: personal life, productivity, business, education, content creation, social media, entertainment and more. Real use cases, expert techniques, prompt variations and creative styles. A full section on AI integrations and practical automations. This manual is not about shortcuts. It’s about mastering the fundamentals skills that remain relevant no matter how AI evolves. If new tools emerge, what you learn here will still apply. Because true mastery isn’t built on trends it’s built on solid principles.
Mastering Machine Learning Algorithms
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Author : Giuseppe Bonaccorso
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-01-31
Mastering Machine Learning Algorithms written by Giuseppe Bonaccorso 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 2020-01-31 with Computers categories.
Updated and revised second edition of the bestselling guide to exploring and mastering the most important algorithms for solving complex machine learning problems Key FeaturesUpdated to include new algorithms and techniquesCode updated to Python 3.8 & TensorFlow 2.x New coverage of regression analysis, time series analysis, deep learning models, and cutting-edge applicationsBook Description Mastering Machine Learning Algorithms, Second Edition helps you harness the real power of machine learning algorithms in order to implement smarter ways of meeting today's overwhelming data needs. This newly updated and revised guide will help you master algorithms used widely in semi-supervised learning, reinforcement learning, supervised learning, and unsupervised learning domains. You will use all the modern libraries from the Python ecosystem – including NumPy and Keras – to extract features from varied complexities of data. Ranging from Bayesian models to the Markov chain Monte Carlo algorithm to Hidden Markov models, this machine learning book teaches you how to extract features from your dataset, perform complex dimensionality reduction, and train supervised and semi-supervised models by making use of Python-based libraries such as scikit-learn. You will also discover practical applications for complex techniques such as maximum likelihood estimation, Hebbian learning, and ensemble learning, and how to use TensorFlow 2.x to train effective deep neural networks. By the end of this book, you will be ready to implement and solve end-to-end machine learning problems and use case scenarios. What you will learnUnderstand the characteristics of a machine learning algorithmImplement algorithms from supervised, semi-supervised, unsupervised, and RL domainsLearn how regression works in time-series analysis and risk predictionCreate, model, and train complex probabilistic models Cluster high-dimensional data and evaluate model accuracy Discover how artificial neural networks work – train, optimize, and validate them Work with autoencoders, Hebbian networks, and GANsWho this book is for This book is for data science professionals who want to delve into complex ML algorithms to understand how various machine learning models can be built. Knowledge of Python programming is required.
Mastering Machine Learning On Aws
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Author : Dr. Saket S.R. Mengle
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-05-20
Mastering Machine Learning On Aws written by Dr. Saket S.R. Mengle 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 2019-05-20 with Computers categories.
Gain expertise in ML techniques with AWS to create interactive apps using SageMaker, Apache Spark, and TensorFlow. Key FeaturesBuild machine learning apps on Amazon Web Services (AWS) using SageMaker, Apache Spark and TensorFlowLearn model optimization, and understand how to scale your models using simple and secure APIsDevelop, train, tune and deploy neural network models to accelerate model performance in the cloudBook Description AWS is constantly driving new innovations that empower data scientists to explore a variety of machine learning (ML) cloud services. This book is your comprehensive reference for learning and implementing advanced ML algorithms in AWS cloud. As you go through the chapters, you’ll gain insights into how these algorithms can be trained, tuned and deployed in AWS using Apache Spark on Elastic Map Reduce (EMR), SageMaker, and TensorFlow. While you focus on algorithms such as XGBoost, linear models, factorization machines, and deep nets, the book will also provide you with an overview of AWS as well as detailed practical applications that will help you solve real-world problems. Every practical application includes a series of companion notebooks with all the necessary code to run on AWS. In the next few chapters, you will learn to use SageMaker and EMR Notebooks to perform a range of tasks, right from smart analytics, and predictive modeling, through to sentiment analysis. By the end of this book, you will be equipped with the skills you need to effectively handle machine learning projects and implement and evaluate algorithms on AWS. What you will learnManage AI workflows by using AWS cloud to deploy services that feed smart data productsUse SageMaker services to create recommendation modelsScale model training and deployment using Apache Spark on EMRUnderstand how to cluster big data through EMR and seamlessly integrate it with SageMakerBuild deep learning models on AWS using TensorFlow and deploy them as servicesEnhance your apps by combining Apache Spark and Amazon SageMakerWho this book is for This book is for data scientists, machine learning developers, deep learning enthusiasts and AWS users who want to build advanced models and smart applications on the cloud using AWS and its integration services. Some understanding of machine learning concepts, Python programming and AWS will be beneficial.
Mastering Artificial Intelligence
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Author : Khushabu Gupta
language : en
Publisher: Subrat Gupta
Release Date : 2024-10-28
Mastering Artificial Intelligence 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 2024-10-28 with Computers categories.
"Mastering Artificial Intelligence: Learn AI Through Practical Examples & Code" offers readers a detailed, accessible guide to the exciting and fast-evolving world of AI. Designed for both beginners and those with some background in the field, this book covers essential AI concepts, history, applications, and ethical considerations. It delves into machine learning, supervised and unsupervised techniques, deep learning, natural language processing, computer vision, and reinforcement learning. Through clear explanations, practical code examples, and real-world projects, readers will gain hands-on experience with Python, learn the nuances of neural networks, and understand the impact of AI across industries. This book is an indispensable resource for anyone looking to advance their knowledge and career in artificial intelligence.
Mastering Ai Artificial Intelligence
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date :
Mastering Ai Artificial Intelligence written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
In a world where artificial intelligence is rapidly reshaping every aspect of our lives, "Mastering AI" serves as your definitive guide to understanding and harnessing this transformative technology. This comprehensive manual cuts through the hype, demystifying AI's complexities, and making it accessible to readers across the spectrum of expertise. Author Kris Hermans, a recognized authority in AI for Cybersecurity, expertly navigates the vast landscape of artificial intelligence, blending theoretical foundations with practical applications. Whether you're a beginner eager to grasp the basics or a seasoned professional looking to refine your skills, "Mastering AI" is your roadmap to successfully navigating the fascinating world of AI.
Mastering Machine Learning Algorithms
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Author : Giuseppe Bonaccorso
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-05-25
Mastering Machine Learning Algorithms written by Giuseppe Bonaccorso 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 2018-05-25 with Computers categories.
Explore and master the most important algorithms for solving complex machine learning problems. Key Features Discover high-performing machine learning algorithms and understand how they work in depth. One-stop solution to mastering supervised, unsupervised, and semi-supervised machine learning algorithms and their implementation. Master concepts related to algorithm tuning, parameter optimization, and more Book Description Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more intelligent. The real power of machine learning resides in its algorithms, which make even the most difficult things capable of being handled by machines. However, with the advancement in the technology and requirements of data, machines will have to be smarter than they are today to meet the overwhelming data needs; mastering these algorithms and using them optimally is the need of the hour. Mastering Machine Learning Algorithms is your complete guide to quickly getting to grips with popular machine learning algorithms. You will be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and will learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this book will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries such as scikit-learn. You will also learn how to use Keras and TensorFlow to train effective neural networks. If you are looking for a single resource to study, implement, and solve end-to-end machine learning problems and use-cases, this is the book you need. What you will learn Explore how a ML model can be trained, optimized, and evaluated Understand how to create and learn static and dynamic probabilistic models Successfully cluster high-dimensional data and evaluate model accuracy Discover how artificial neural networks work and how to train, optimize, and validate them Work with Autoencoders and Generative Adversarial Networks Apply label spreading and propagation to large datasets Explore the most important Reinforcement Learning techniques Who this book is for This book is an ideal and relevant source of content for data science professionals who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. A basic knowledge of machine learning is preferred to get the best out of this guide.
Mastering Machine Learning For Penetration Testing
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Author : Chiheb Chebbi
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-06-27
Mastering Machine Learning For Penetration Testing written by Chiheb Chebbi 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 2018-06-27 with Language Arts & Disciplines categories.
Become a master at penetration testing using machine learning with Python Key Features Identify ambiguities and breach intelligent security systems Perform unique cyber attacks to breach robust systems Learn to leverage machine learning algorithms Book Description Cyber security is crucial for both businesses and individuals. As systems are getting smarter, we now see machine learning interrupting computer security. With the adoption of machine learning in upcoming security products, it’s important for pentesters and security researchers to understand how these systems work, and to breach them for testing purposes. This book begins with the basics of machine learning and the algorithms used to build robust systems. Once you’ve gained a fair understanding of how security products leverage machine learning, you'll dive into the core concepts of breaching such systems. Through practical use cases, you’ll see how to find loopholes and surpass a self-learning security system. As you make your way through the chapters, you’ll focus on topics such as network intrusion detection and AV and IDS evasion. We’ll also cover the best practices when identifying ambiguities, and extensive techniques to breach an intelligent system. By the end of this book, you will be well-versed with identifying loopholes in a self-learning security system and will be able to efficiently breach a machine learning system. What you will learn Take an in-depth look at machine learning Get to know natural language processing (NLP) Understand malware feature engineering Build generative adversarial networks using Python libraries Work on threat hunting with machine learning and the ELK stack Explore the best practices for machine learning Who this book is for This book is for pen testers and security professionals who are interested in learning techniques to break an intelligent security system. Basic knowledge of Python is needed, but no prior knowledge of machine learning is necessary.
Deep Learning With Python
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Author : Jason Brownlee
language : en
Publisher: Machine Learning Mastery
Release Date : 2016-05-13
Deep Learning With Python written by Jason Brownlee and has been published by Machine Learning Mastery this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-13 with Computers categories.
Deep learning is the most interesting and powerful machine learning technique right now. Top deep learning libraries are available on the Python ecosystem like Theano and TensorFlow. Tap into their power in a few lines of code using Keras, the best-of-breed applied deep learning library. In this Ebook, learn exactly how to get started and apply deep learning to your own machine learning projects.
Ai Unleashed A Holistic Guide To Mastering Artificial Intelligence
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Author : Tanjimul Islam Tareq
language : en
Publisher: BookRix
Release Date : 2023-08-28
Ai Unleashed A Holistic Guide To Mastering Artificial Intelligence written by Tanjimul Islam Tareq and has been published by BookRix this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-28 with Juvenile Nonfiction categories.
Embark on a transformative journey through the realm of artificial intelligence with "AI Unleashed: A Holistic Guide to Mastering Artificial Intelligence." In this comprehensive and unique guide, you'll uncover the depths of AI's complexities, from foundational concepts to cutting-edge techniques that are shaping the future. From the evolution of AI's journey from fiction to reality, to the powerful insights of unsupervised learning, deep learning, and reinforcement learning, this book equips you with the knowledge to unravel AI's intricacies. Through vivid explanations, real-world examples, and immersive chapters, you'll traverse the landscape of supervised and unsupervised learning, delve into neural networks and advanced algorithms, and comprehend the ethical considerations that underpin responsible AI development. But "AI Unleashed" doesn't stop at theory—it propels you into action. You'll discover the practical aspects of data preprocessing, model tuning, and deployment strategies that are pivotal for creating AI solutions that work seamlessly in the real world. Moreover, you'll explore the intersections of AI with diverse industries, from healthcare and finance to quantum computing, positioning you at the forefront of innovation. As you journey through these pages, you'll not only gain a deep understanding of AI's intricacies but also develop the skills to build intelligent systems that create positive impacts. Whether you're a seasoned AI practitioner or a curious beginner, "AI Unleashed" empowers you to unlock the boundless potential of artificial intelligence and embark on a path of continuous learning that propels you forward in the dynamic world of AI innovation.
Mastering Artificial Intelligence And Machine Learning
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Author : Dr. L. Sridhara Rao
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2022-12-06
Mastering Artificial Intelligence And Machine Learning written by Dr. L. Sridhara Rao and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-06 with Computers categories.
The book “Mastering Artificial Intelligence and Machine Learning” provides the in-depth knowledge in the field of Artificial Learning, Expert Systems, Natural Language Processing, Deep Learning, Machine Learning etc., to the graduate, post graduate and research scholars. When we talk about Artificial Intelligence, it often evokes a world of robots or futuristic technologies. However, Artificial Intelligence is already part of our daily lives. It is impacting the business world more. Knowledge Engineering is an essential part of AI research. Machines and programs need to have bountiful information related to the world to often act and react like human beings. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so.