A Hands On Introduction To Machine Learning
DOWNLOAD
Download A Hands On Introduction To Machine Learning PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get A Hands On Introduction To Machine Learning book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
A Hands On Introduction To Machine Learning
DOWNLOAD
Author : Chirag Shah
language : en
Publisher: Cambridge University Press
Release Date : 2022-12-29
A Hands On Introduction To Machine Learning written by Chirag Shah and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-29 with Business & Economics categories.
A self-contained and practical introduction that assumes no prior knowledge of programming or machine learning.
Ai Crash Course
DOWNLOAD
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).
Ai Crash Course
DOWNLOAD
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).
Machine Learning Made Simple
DOWNLOAD
Author : Rhys Gallagher
language : en
Publisher: Independently Published
Release Date : 2025-10-18
Machine Learning Made Simple written by Rhys Gallagher and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-18 with Computers categories.
Machine Learning Made Simple: A Hands-On Introduction for Beginners Are you curious about the world of Artificial Intelligence but intimidated by the complex math and jargon? The future runs on Machine Learning, but breaking into this powerful field shouldn't require a Ph.D. This book is your accessible, no-fluff guide to mastering the fundamentals. We cut through the noise to deliver the essential concepts and practical skills you need to confidently build, train, and deploy your first AI models. Machine Learning Made Simple is designed for true beginners-no prior coding or advanced statistical knowledge is assumed.1 Through hands-on Python projects and clear, step-by-step guidance, you'll go from zero to a functioning machine learning practitioner. Here is the transformation you will achieve: Understand the AI Landscape: Get a clear view of the four major types of machine learning (Supervised, Unsupervised, Reinforcement, and Deep Learning) and know exactly when to use each one. Master Foundational Algorithms: Build essential models from scratch, including Linear Regression and the highly versatile K-Nearest Neighbors (KNN), giving you a deep, intuitive understanding of how they work.2 Clean and Prepare Data Like a Pro: Learn the non-negotiable step of Data Preprocessing to turn messy, real-world data into the high-quality input your models need to perform accurately.3 Evaluate and Tune Your Models: Stop guessing! Learn how to use key metrics like Accuracy, Precision, and Recall to objectively measure your model's performance and techniques to boost its effectiveness. Stop watching from the sidelines. Transform your career prospects and gain the skill set that is revolutionizing every industry. Dive into this hands-on introduction today and start building the future, one intelligent model at a time.
Machine Learning
DOWNLOAD
Author : Gabriel Rhys
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-10-18
Machine Learning written by Gabriel Rhys and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-18 with categories.
Can Machines Really Learn?Machine learning (ML) is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning has become an essential pillar of IT in all aspects, even though it has been hidden in the recent past. We are increasingly being surrounded by several machine learning-based apps across a broad spectrum of industries. From search engines to anti-spam filters to credit card fraud detection systems, list of machine learning applications is ever-expanding in scope and applications. The goal of this book is to provide you with a hands-on, project-based overview of machine learning systems and how they are applied over a vast spectrum of applications that underpins AI technology from Absolute Beginners to Experts.This book is a fast-paced, thorough introduction to Machine Learning that will have you writing programs, solving problems, and making things that work in no time.This book presents algorithms and approaches in such a way that grounds them in larger systems as you learn about a variety of topics, including: Supervised and Unsupervised learning methods Artificial Neural Networks Hands-on projects based on Real-world applications Bayesian learning method Reinforcement learning And much more By the end of this book, you should have a strong understanding of machine learning so that you can pursue any further and more advanced learning. Learning Outcomes: By the end of this book, you will be able to: Identify potential applications of machine learning in practice Describe the core differences in analyses enabled by regression, classification, and clustering Select the appropriate machine learning task for a potential application Apply regression, classification, and clustering Represent your data as features to serve as input to machine learning models Utilize a dataset to fit a model to analyze new data Build an end-to-end application that uses machine learning at its core Implement these techniques in Python If you've been thinking seriously about digging into ML, this book will get you up to speed. Why wait any longer?
Introduction To Machine Learning With Python
DOWNLOAD
Author : Rafael Sanders
language : en
Publisher: Independently Published
Release Date : 2025-06-06
Introduction To Machine Learning With Python written by Rafael Sanders and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-06 with Computers categories.
Unlock the Power of Machine Learning-With Real Python Code Want to understand how machines learn from data-and how to build your own intelligent systems? Introduction to Machine Learning with Python is your practical, beginner-friendly path to mastering machine learning concepts and bringing them to life using Python. Designed for programmers, data analysts, and aspiring ML engineers, this hands-on guide demystifies core techniques and walks you through implementing them step by step-no advanced math required. What You'll Learn: Machine learning fundamentals explained in plain English How to prepare, clean, and split data for training and testing Supervised learning: linear regression, decision trees, k-NN, SVM Unsupervised learning: clustering, dimensionality reduction Introduction to neural networks and deep learning How to evaluate model performance with accuracy, precision, recall Real-world projects using scikit-learn, NumPy, pandas, and matplotlib Practical tips for tuning models and avoiding overfitting A workflow you can follow to build your own ML systems Packed with examples, visuals, and coding exercises, this guide gives you the skills to apply machine learning in real projects-from recommendations to predictions. If you're ready to build intelligent systems with Python, this is the book to start with.
Hands On Artificial Intelligence For Beginners
DOWNLOAD
Author : Patrick D. Smith
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-10-31
Hands On Artificial Intelligence For Beginners written by Patrick D. Smith 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 2018-10-31 with Computers categories.
Grasp the fundamentals of Artificial Intelligence and build your own intelligent systems with ease Key FeaturesEnter the world of AI with the help of solid concepts and real-world use casesExplore AI components to build real-world automated intelligenceBecome well versed with machine learning and deep learning conceptsBook Description Virtual Assistants, such as Alexa and Siri, process our requests, Google's cars have started to read addresses, and Amazon's prices and Netflix's recommended videos are decided by AI. Artificial Intelligence is one of the most exciting technologies and is becoming increasingly significant in the modern world. Hands-On Artificial Intelligence for Beginners will teach you what Artificial Intelligence is and how to design and build intelligent applications. This book will teach you to harness packages such as TensorFlow in order to create powerful AI systems. You will begin with reviewing the recent changes in AI and learning how artificial neural networks (ANNs) have enabled more intelligent AI. You'll explore feedforward, recurrent, convolutional, and generative neural networks (FFNNs, RNNs, CNNs, and GNNs), as well as reinforcement learning methods. In the concluding chapters, you'll learn how to implement these methods for a variety of tasks, such as generating text for chatbots, and playing board and video games. By the end of this book, you will be able to understand exactly what you need to consider when optimizing ANNs and how to deploy and maintain AI applications. What you will learnUse TensorFlow packages to create AI systemsBuild feedforward, convolutional, and recurrent neural networksImplement generative models for text generationBuild reinforcement learning algorithms to play gamesAssemble RNNs, CNNs, and decoders to create an intelligent assistantUtilize RNNs to predict stock market behaviorCreate and scale training pipelines and deployment architectures for AI systemsWho this book is for This book is designed for beginners in AI, aspiring AI developers, as well as machine learning enthusiasts with an interest in leveraging various algorithms to build powerful AI applications.
Tensorflow For Machine Intelligence
DOWNLOAD
Author : Sam Abrahams
language : en
Publisher:
Release Date : 2016
Tensorflow For Machine Intelligence written by Sam Abrahams and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Artificial intelligence categories.
For anyone who knows a little machine learning (or not) and who has found the TensorFlow documentation too daunting to approach, this book introduces the TensorFlow framework and the underlying machine learning concepts that are important to harness machine intelligence. --
Machine Learning With Python A Hands On Introduction
DOWNLOAD
Author : Siddharth Savyasachi Malu & Sanjay Kumar Pandey
language : en
Publisher: S. Chand Publishing
Release Date :
Machine Learning With Python A Hands On Introduction written by Siddharth Savyasachi Malu & Sanjay Kumar Pandey and has been published by S. Chand Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Embark on an exciting journey into the world of Machine Learning with "Machine Learning with Python: A Hands-on Introduction" - your guide to demystifying complex concepts and turning data into actionable insights. Picture yourself stepping into the fascinating realm of data exploration and visualisation. It's like embarking on a thrilling adventure, where you'll learn the language of statistics and uncover hidden patterns in your data, preparing you for the challenges ahead. As you venture further, you'll be introduced to the heroes of supervised machine learning - from the dependable Linear Regression to the versatile Tree-Based Methods. Each chapter is designed to build your confidence, like mastering a new skill that empowers you to make sense of the world around you step by step. But wait, there's more! Unit III invites you to meet the geniuses of the machine learning world Neural Networks. Imagine diving into the inner workings of these digital brains, understanding how they learn and adapt, just like we humans do. As the journey progresses, you'll encounter unsupervised learning, where data reveals its secrets without guidance. It's like exploring uncharted territory, where every discovery brings you closer to understanding the mysteries of your data. And fear not, weary traveller, for our appendices are like trusty companions, ready to assist you on your quest. From Python basics to advanced data wrangling and visualisation techniques, they're here to lend a helping hand whenever you need them. So, whether you're a curious beginner or a seasoned explorer, "Machine Learning with Python: A Hands-on Introduction" promises an adventure like no other. Join us, and together, let's unlock the power of data and embark on a thrilling journey of discovery and innovation.
A Hands On Introduction To Data Science
DOWNLOAD
Author : Chirag Shah
language : en
Publisher: Cambridge University Press
Release Date : 2020-04-02
A Hands On Introduction To Data Science written by Chirag Shah and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-02 with Business & Economics categories.
An introductory textbook offering a low barrier entry to data science; the hands-on approach will appeal to students from a range of disciplines.