Download or read book Le machine learning et Python pour les Nuls written by John-Paul Mueller and published by First Interactive. This book was released on 2022-02-24 with total page 716 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Le Machine Learning Pour les Nuls written by Luca Massaron and published by Pour les nuls. This book was released on 2020-01-02 with total page 812 pages. Available in PDF, EPUB and Kindle. Book excerpt: Plongez au coeur de l'intelligence arficielle et de la data science Vous aussi participez à la révolution qui ramène l'intelligence artificielle au coeur de notre société, grace à la data scince et au machine learning. La data science consiste à traduire des problèmes de toute autre nature, en problèmes de modélisation quantitative, résolus par des algorithmes de traitement. Ce livre va vous faire découvrir tous les ingrédients qui font du machine learning l'outil indispensable du développement d'applications liées à l'intelligence artificielle. Au programme de ce livre : Découvrez toutes les applications du quotidien qui utilisent le machine learning Apprenez les langages du machine learning : Python et R, afin de vous adresser aux machines qui effectueront des traitements sur les données Apprenez à coder en R avec R studio Apprenez à coder en Python en utilisant Anaconda
Download or read book Machine Learning written by Matt Harrison and published by . This book was released on 2019 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Entrez de plain-pied dans le monde fascinant la data science avec cet ouvrage pratique, véritable pense bête de tous les data scientists, ingénieurs ou programmeurs Vous aussi participez à la révolution qui ramène l'intelligence artificielle au coeur de notre société, grace aux data scientists. La data science consiste à traduire des problèmes de toute autre nature, en problèmes de modélisation quantitative, résolus par des algorithmes de traitement. Au programme : Les différentes versions de Python L'apprentissage non supervisé et le préprocessing Représenter les données Processus de validation Algorithmes, chaînes et pipeline Travailler avec des données de type texte Utiliser Sikit-learn.
Download or read book Deep Learning avec TensorFlow written by Aurélien Géron and published by Dunod. This book was released on 2017-11-22 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cet ouvrage, conçu pour tous ceux qui souhaitent s'initier au Deep Learning (apprentissage profond) est la traduction de la deuxième partie du best-seller américain Hands-On Machine Learning with Scikit-Learn & TensorFloW. Le Deep Learning est récent et il évolue vite. Ce livre en présente les principales techniques : les réseaux de neurones profonds, capables de modéliser toutes sortes de données, les réseaux de convolution, capables de classifier des images, les segmenter et découvrir les objets ou personnes qui s'y trouvent, les réseaux récurrents, capables de gérer des séquences telles que des phrases, des séries temporelles, ou encore des vidéos, les Autoencoders qui peuvent découvrir toutes sortes de structures dans des données, de façon non supervisée, et enfin le Reinforcement Learning (apprentissage par renforcement) qui permet de découvrir automatiquement les meilleures actions pour effectuer une tâche (par exemple un robot qui apprend à marcher). Ce livre présente TensorFlow, le framework de Deep Learning créé par Google. Il est accompagné de Jupyter notebooks (disponibles sur github) qui contiennent tous les exemples de code du livre, afin que le lecteur puisse facilement tester et faire tourner les programmes. Il complète un premier livre intitulé Machine Learning avec Scikit-Learn.
Download or read book Python Machine Learning written by Ryan Turner and published by Publishing Factory . This book was released on 2020-04-12 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you a novice programmer who wants to learn Python Machine Learning? Are you worried about how to translate what you already know into Python? This book will help you overcome those problems. As machines get ever more complex and perform more and more tasks to free up our time, so it is that new ideas are developed to help us continually improve their speed and abilities. One of these is Python and in Python Machine Learning: The Ultimate Beginner's Guide to Learn Python Machine Learning Step by Step using Scikit-Learn and Tensorflow, you will discover information and advice on: • What machine learning is • The history of machine learning • Approaches to machine learning • Support vector machines • Machine learning and neural networks • The Internet of Things (IoT) • The future of machine learning • And more… This book has been written specifically for beginners and the simple, step by step instructions and plain language make it an ideal place to start for anyone who has a passing interest in this fascinating subject. Python really is an amazing system and can provide you with endless possibilities when you start learning about it. Get a copy of Python Machine Learning today and see where the future lies!
Download or read book Machine Learning Les fondamentaux collection O Reilly written by Matt Harrison and published by First Interactive. This book was released on 2020-03-12 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: Entrez de plain-pied dans le monde fascinant la data science avec cet ouvrage pratique, véritable pense bête de tous les data scientists, ingénieurs ou programmeurs Vous aussi participez à la révolution qui ramène l'intelligence artificielle au coeur de notre société, grace aux data scientists. La data science consiste à traduire des problèmes de toute autre nature, en problèmes de modélisation quantitative, résolus par des algorithmes de traitement. Au programme : Les différentes versions de Python L'apprentissage non supervisé et le préprocessing Représenter les données Processus de validation Algorithmes, chaînes et pipeline Travailler avec des données de type texte Utiliser Sikit-learn
Download or read book Machine Learning con PyTorch y Scikit Learn written by Sebastian Raschka and published by Marcombo. This book was released on 2023-02-27 with total page 902 pages. Available in PDF, EPUB and Kindle. Book excerpt: Si busca un manual de referencia sobre Machine Learning y Deep Learning con PyTorch, ha llegado al libro indicado. En él se explica paso a paso cómo construir sistemas de aprendizaje automático con éxito. Mientras que en algunos libros solo se enseña a seguir instrucciones, en este descubrirá los principios para crear modelos y aplicaciones por sí mismo. Encontrará multitud de explicaciones claras, visualizaciones y ejemplos, y aprenderá en profundidad todas las técnicas esenciales de Machine Learning. Actualizado para ocuparse de Machine Learning utilizando PyTorch, este libro también presenta las últimas incorporaciones a Scikit-Learn. Además, trata varias técnicas de Machine Learning y Deep Learning para la clasificación de textos e imágenes. Con este libro, también aprenderá sobre las redes generativas antagónicas (GAN), útiles para generar nuevos datos y entrenar agentes inteligentes con aprendizaje reforzado. Por último, esta edición incluye las últimas tendencias en Machine Learning, como las introducciones a las redes neuronales de grafos y transformadores a gran escala utilizados para el procesamiento del lenguaje natural (NLP). Sin duda, tanto si es un desarrollador de Python neófito en Machine Learning como si desea profundizar en los últimos avances, este libro de PyTorch será su gran aliado en el aprendizaje automático con Python. «Estoy seguro de que este libro le resultará muy valioso, tanto por ofrecer una visión general del apasionante campo de Machine Learning, como por ser un tesoro de conocimientos prácticos. Espero que le inspire a aplicar Machine Learning para lograr un mayor beneficio, sea cual sea su problemática» Gracias a esta lectura: •Explorará marcos de trabajo, modelos y técnicas para que las máquinas «aprendan» de los datos •Empleará Scikit-Learn para Machine Learning y PyTorch para Deep Learning •Entrenará clasificadores de Machine Learning en imágenes, texto, etc. •Creará y entrenará redes neuronales, transformadores y redes neuronales gráficas •Descubrirá las mejores prácticas para evaluar y ajustar los modelos •Pronosticará los resultados de elementos continuos utilizando el análisis de regresión •Profundizará en los datos textuales y de las redes sociales mediante el análisis de sentimiento
Download or read book Apprendre Python written by Damon Parker and published by BoD - Books on Demand. This book was released on 2023-08-21 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ce livre est écrit pour vous aider à maîtriser les concepts de base de la programmation Python et comprendre comment utiliser vos compétences en programmation pour analyser un grand volume de données. Le langage de programmation Python peut être considéré comme le langage de choix pour les débutants et les programmeurs avancés, car il est conçu pour mettre l'accent sur la lisibilité du code. De plus, ce langage de programmation augmente la vitesse des opérations et permet une plus grande efficacité dans la création d'intégrations système. Ce livre fournit des conseils généraux sur l'utilisation de Python pour développer des modèles d'apprentissage automatique à l'aide de Scikit-Learn, la bibliothèque d'apprentissage automatique basée sur Python la plus largement utilisée. Certains des principaux sujets abordés dans le livre sont les suivants : - Principales caractéristiques et avantages de l'apprentissage du code Python et historique de la création de la programmation Python. - Instructions étape par étape sur la façon d'installer Python sur vos systèmes d'exploitation (Windows, Mac et Linux). - Apprenez à créer des variables Python et à leur assigner le type de données souhaité. - Concepts de base pour écrire un code Python efficace, avec une emphase sur divers éléments de programmation tels que les booléens, les tuples, les ensembles, les dictionnaires, et plus encore. - Apprenez à écrire des déclarations if et else pour récupérer les informations souhaitées à partir des données. - Les boucles For et While sont expliquées en détail dans un langage facile à comprendre. - Apprenez les concepts de base de l'analyse des big data et des algorithmes d'apprentissage automatique. Tous les concepts sont expliqués en utilisant la syntaxe standard de Python, appuyés par des exemples pertinents et suivis d'exercices qui vous aident à tester et à vérifier votre compréhension de ces concepts. Enfin, en prime, vous apprendrez quelques astuces et astuces Python pour améliorer votre programmation d'apprentissage automatique. N'oubliez pas que le savoir, c'est le pouvoir, et avec le grand pouvoir que vous obtiendrez grâce à ce livre, vous serez armé pour prendre des décisions technologiques éclairées personnellement et professionnellement. Ne pensez-vous pas que c'est aussi simple que ça ? Si vous voulez vraiment obtenir la preuve de cela, ne perdez plus de temps !
Download or read book PYTHON POUR LA FINANCE ET LE TRADING ALGORITHMIQUE 2EME EDITION written by and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Python with Machine Learning written by A Krishna Mohan et al. and published by S. Chand Publishing. This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains in-depth knowledge of "Python with Machine Learning". This book is written in a logical and sequential, outputs with print screen, modules for systematic development of the subject. This book is covered for all the students those who are interested to learn programming on Python and Machine learning. Each and Every program along with example is executed practically. This book is aimed at emerging trends in Technology, development all over the Globe and even corporate people also will learn all the topics. Each topic is explained very simple and given a lot of example with syntax. It has been written in an articulate manner and is packed with practical approach target for all students of Undergraduate, Graduate, of Computer Science and Engineering (M.Tech, M.C.A, M.Sc (CS, IT) B.Tech), Research Scholar and Corporate Employees those who are new to this area.
Download or read book Practical Machine Learning with Python written by Dipanjan Sarkar and published by Apress. This book was released on 2017-12-20 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build, and execute machine learning systems and projects successfully. Practical Machine Learning with Python follows a structured and comprehensive three-tiered approach packed with hands-on examples and code. Part 1 focuses on understanding machine learning concepts and tools. This includes machine learning basics with a broad overview of algorithms, techniques, concepts and applications, followed by a tour of the entire Python machine learning ecosystem. Brief guides for useful machine learning tools, libraries and frameworks are also covered. Part 2 details standard machine learning pipelines, with an emphasis on data processing analysis, feature engineering, and modeling. You will learn how to process, wrangle, summarize and visualize data in its various forms. Feature engineering and selection methodologies will be covered in detail with real-world datasets followed by model building, tuning, interpretation and deployment. Part 3 explores multiple real-world case studies spanning diverse domains and industries like retail, transportation, movies, music, marketing, computer vision and finance. For each case study, you will learn the application of various machine learning techniques and methods. The hands-on examples will help you become familiar with state-of-the-art machine learning tools and techniques and understand what algorithms are best suited for any problem. Practical Machine Learning with Python will empower you to start solving your own problems with machine learning today! What You'll Learn Execute end-to-end machine learning projects and systems Implement hands-on examples with industry standard, open source, robust machine learning tools and frameworks Review case studies depicting applications of machine learning and deep learning on diverse domains and industries Apply a wide range of machine learning models including regression, classification, and clustering. Understand and apply the latest models and methodologies from deep learning including CNNs, RNNs, LSTMs and transfer learning. Who This Book Is For IT professionals, analysts, developers, data scientists, engineers, graduate students
Download or read book Python Machine Learning written by Brandon Railey and published by . This book was released on 2019-04-08 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Have you come across the terms machine learning and neural networks in most articles you have recently read? Do you also want to learn how to build a machine learning model that will answer your questions within a blink of your eyes? If you responded yes to any of the above questions, you have come to the right place. Machine learning is an incredibly dense topic. It's hard to imagine condensing it into an easily readable and digestible format. However, this book aims to do exactly that. Machine learning and artificial intelligence have been used in different machines and applications to improve the user's experience. One can also use machine learning to make data analysis and predicting the output for some data sets easy. All you need to do is choose the right algorithm, train the model and test the model before you apply it on any real-world tool. It is that simple isn't it? ★★Apart from this, you will also learn more about:★★ The Different Types Of Learning Algorithm That You Can Expect To Encounter The Numerous Applications Of Machine Learning And Deep Learning The Best Practices For Picking Up Neural Networks What Are The Best Languages And Libraries To Work With The Various Problems That You Can Solve With Machine Learning Algorithms And much more... Well, you can do it faster if you use Python. This language has made it easy for any user, even an amateur, to build a strong machine learning model since it has numerous directories and libraries that make it easy for one to build a model. Do you want to know how to build a machine learning model and a neural network? So, what are you waiting for? Grab a copy of this book now!
Download or read book Introduction au Deep Learning written by Eugène Charniak and published by . This book was released on 2021-01-13 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Python Machine Learning written by Oliver Soranson and published by . This book was released on 2020-10-30 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: Supercharge your Python skills and uncover the amazing benefits of machine learning with this complete guide. Are you a newcomer to the incredible programming language of Python? Are you searching for a practical beginner's introduction to the world of machine learning, artificial intelligence, and how you can create your own neural networks? Then it's time to try this book! Machine learning is the way of the future, and as a programmer, it's never been more important to understand this groundbreaking concept and begin creating your own neural networks. So how can you begin mastering machine learning even if you have only a basic understanding of Python? Packed with handy advice and detailed overviews, Python Machine Learning unveils the inner workings of neural networks and artificial intelligence in a way that even beginners can understand. With reference to basic terminology and concepts, training sets, algorithms, and so much more, this complete guide lets you begin creating your own networks even with the most basic knowledge of Python. Plus, you'll also find a wealth of tips for building good data sets and finding the right algorithm for all of your goals. Inside this comprehensive guide, you'll find: A Brilliant Introduction To The Essentials of Machine Learning and Its Surprising History Understanding The Basic Terminology and Ideas Behind Machine Learning Systems How To Pick The Right Classifiers, Variables, Metrics, Models and More Practical Advice For Developing Your Own Machine Learning System 10 Must-Know Algorithms For Classification Tips and Tricks For Building Good Data Sets And Much More... Whether you want to begin programming for the first time, expand your skillsets into new areas, or simply create artificial intelligence as a hobby, Python Machine Learning shows you in plain English how to supercharge your Python skills and begin experimenting with this revolutionary programming concept. Scroll up and buy now to begin creating neural networks today!
Download or read book Python pour le data scientist written by Emmanuel Jakobowicz and published by Dunod. This book was released on 2018-10-24 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python est devenu en quelques années un langage majeur dans l'univers des applications centrées sur le traitement des données, et plus particulièrement des gros volumes de données (big data). Cet ouvrage servira de guide à tous ceux qui s'intéressent à l'utilisation de Python pour le travail sur les données et l'automatisation de certaines tâches (data science). Il met l'accent sur la préparation et la mise en forme des données qui sont essentielles dans la qualité du résultat et qui constituent aujourd'hui une part importante du travail du data scientist. L'ensemble des exemples et des exercices présentés dans cet ouvrage sont disponibles sous forme de Notebooks Jupyter. Ils sont accessibles directement sur GitHub dans le répertoire dédié à l'ouvrage ou en téléchargement sur le site Dunod.
Download or read book Machine Learning avec Scikit Learn written by Aurélien Géron and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: L'apprentissage automatique (Machine Learning) est aujourd'hui en pleine explosion. Mais de quoi s'agit-il exactement, et comment pouvez-vous le mettre en oeuvre dans vos propres projets ? L'objectif de cet ouvrage est de vous expliquer les concepts fondamentaux du Machine Learning et de vous apprendre à maîtriser les outils qui vous permettront de créer vous-même des systèmes capables d'apprentissage automatique. Vous apprendrez ainsi à utiliser Scikit-Learn, un outil open source très simple et néanmoins très puissant que vous pourrez mettre en oeuvre dans vos systèmes en production. • Apprendre les bases du Machine Learning en suivant pas à pas toutes les étapes d'un projet utilisant Scikit-Learn et pandas. • Ouvrir les boîtes noires pour comprendre comment fonctionnent les algorithmes. • Explorer plusieurs modèles d'entraînement, notamment les machines à vecteur de support (SVM). • Comprendre le modèle des arbres de décision et celui des forêts aléatoires, et exploiter la puissance des méthodes ensemblistes. • Exploiter des techniques d'apprentissage non supervisées telles que la réduction de dimensionnalité, la classification et la détection d'anomalies.
Download or read book Machine Learning with Python written by Steve Blair and published by Steve Blair. This book was released on 2021-04-16 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Supercharge your Python skills and uncover the amazing benefits of machine learning with this complete guide. Are you a newcomer to the incredible programming language of Python? Are you searching for a practical beginner's introduction to the world of machine learning, artificial intelligence, and how you can create your own neural networks? Then it's time to try this book! Machine learning is the way of the future, and as a programmer, it's never been more important to understand this groundbreaking concept and begin creating your own neural networks. So how can you begin mastering machine learning even if you have only a basic understanding of Python? Packed with handy advice and detailed overviews, Python Machine Learning unveils the inner workings of neural networks and artificial intelligence in a way that even beginners can understand. With reference to basic terminology and concepts, training sets, algorithms, and so much more, this complete guide lets you begin creating your own networks even with the most basic knowledge of Python. Plus, you'll also find a wealth of tips for building good data sets and finding the right algorithm for all of your goals. Inside this comprehensive guide, you'll find: A Brilliant Introduction To The Essentials of Machine Learning and Its Surprising History Understanding The Basic Terminology and Ideas Behind Machine Learning Systems How To Pick The Right Classifiers, Variables, Metrics, Models, and More Practical Advice For Developing Your Own Machine Learning System 10 Must-Know Algorithms For Classification Tips and Tricks For Building Good Data Sets And Much More... Whether you want to begin programming for the first time, expand your skillsets into new areas, or simply create artificial intelligence as a hobby, Python Machine Learning shows you in plain English how to supercharge your Python skills and begin experimenting with this revolutionary programming concept. Buy now to begin creating neural networks today
