Machine Learning With Python A Hands On Introduction
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Machine Learning With Python A Hands On Introduction
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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.
Deep Learning With Python
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Author : Nikhil Ketkar
language : en
Publisher:
Release Date : 2016
Deep Learning With Python written by Nikhil Ketkar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
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).
A Hands On Introduction To Machine Learning
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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
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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 Machine Learning
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Author : Computer Programming Academy
language : en
Publisher:
Release Date : 2020-02-08
Python Machine Learning written by Computer Programming Academy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-08 with categories.
Would you like to learn how to use Python to generate machine learning models but you think it would be too difficult? Or perhaps you want to automate simple things with your computer but you don't know how to do it? Here's the deal... As a beginner you might think that programming is complex... Learning artificial intelligence coding can take months, and the possibility to give up before mastering it could be high. So, if you have a project to develop you could think on hiring a professional developer to shorten the time. This may seem like a good solution but it is certainly very expensive and if the developer you chose doesn't perform a proper job you still have to pay for it. The best solution is to follow a complete programming manual with hands-on projects and practical exercises. Computer Programming Academy structured this guide as a course with seven chapters for seven days and studied special exercises for each section to apply what you have learned step-by-step. This protocol, tested on both total beginners and people who were already familiar with coding, takes advantage of the principle of diving, concentrating learning in one week. The result of this method has been one for both categories of students: the content of the course was learned faster and remembered longer respect the average. Inside this book, you will go through a first section in which fundamental and basic notions of deep learning are discussed, to get to the next chapters crafted specifically to help you learn advanced coding concepts required to develop training data sets for the production of successful machine learning models. In the detail, you will learn: Why Python is considered the fundamental tool for machine learning Deep understanding of the significance of machine learning in our daily lives and why you cannot ignored its importance in 2020 12 machine learning models that you must study as a beginner The most common mistakes to avoid when you start building machine learning models with Python Step-by-step instructions to install required packages to set up a machine learning coding environment The algorithms that will make your life easier while coding artificial intelligence A proven strategy to process raw data to generate high quality training data sets A simple method to build the desired machine learning model in less than 7 days The 2 main libraries you need implementing to develop a neural network Exercises and quizzes at the end of every chapter to review immediately what you've learned Extra content that you will appreciate as curious technology enthusiast Why is this book different? Most of the books on the market only take a brief look into machine learning, showing some of the topics but never going deep concretely. The best way to learn machine learning with Python is by doing and with this manual you will work through applicable projects in order to solidify your knowledge and obtain a huge sense of achievement. This is what this guide offers to you, even if you're completely new to programming in 2020 or you are just looking to widen your skills as programmer. Would You Like To Know More? Scroll up to the top of the page and select the BUY NOW button. The key to become a Python master is one click away!
Python Machine Learning
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Author : Computer Programming Academy
language : en
Publisher:
Release Date : 2020-11-10
Python Machine Learning written by Computer Programming Academy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-10 with categories.
Inside this book you will find all the basic notions to start with Python and all the programming concepts to build machine learning models. With our proven strategies you will write efficient Python codes in less than a week!
Python
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Author : Computer Programming Academy
language : en
Publisher:
Release Date : 2020-11-24
Python written by Computer Programming Academy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-24 with Computers categories.
Have you always wanted to learn computer programming but you're worried it will take too long? Would you like to automate something simple with your PC but you don't know how to do it? Or maybe you know other programming languages and are interested in learning Python quickly? As a beginner you might think that programming is difficult and the possibility to give up before mastering it could be high... So, if you have a project to develop you could think on hiring a programmer to shorten the time. This may seem like a good idea but it is certainly very expensive. Otherwise you could waste your time pursuing tutorials online. The best solution is to follow a complete programming manual with hands-on projects and practical exercises. What you will find inside and a quick overview of the main topics: ✓ Why Python is considered the best programming language for a beginner ✓ The most common mistakes to avoid when you start programming ✓ BOOK 1: PYTHON PROGRAMMING - The 7 built-in functions to make your life easier while coding a software program - The program you need to develop your first own application ✓ BOOK 2: PYTHON MACHINE LEARNING - The algorithms that will make your life easier - The 2 libraries you need implementing to develop the desired ML models ✓ BOOK 3: PYTHON DATA SCIENCE - 3 actions required to gain insights from big data - A simple method to implement predictive analytics ✓ Some projects to write Python codes in less than a week ✓ Quizzes at the end of every chapter to review immediately what you've learned Why is this book different? Computer Programming Academy structured these guides as a course with seven chapters for seven days with special exercises for each section.This protocol, tested on both beginners and people who were already familiar with coding, takes advantage of the principle of diving, concentrating learning in one week. The result? The content of the course was learned faster and remembered longer. Even if you're completely new to programming in 2020 or you are just looking to widen your skills as programmer this book is perfect for you. Now's the best time to begin learning Python... click the "BUY NOW" button and get started!
Introduction To Machine Learning With Python
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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.
A Hands On Introduction To Data Science
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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.