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Machine Learning avec Scikit-Learn

Machine Learning avec Scikit-Learn

Machine Learning avec Scikit-Learn

Author: Aurélien Géron

Publisher: Dunod

Isbn 10: 2100797824

Category: Computers

Number of Pages: 256

Number of Views: 906

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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.


Python pour les kids

Python pour les kids

Python pour les kids

Author: Jason R. Briggs

Publisher: Editions Eyrolles

Isbn 10: 2212319282

Category: Computers

Number of Pages: 332

Number of Views: 876

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La programmation accessible à tous ! Python est un langage de programmation puissant, expressif, facile à apprendre et amusant. Il est compatible avec Mac, Windows et Linux. Python pour les kids donne vie à Python et t'emmène, ainsi que tes parents, dans l'univers de la programmation. Avec des trésors de patience, Jason R. Briggs te guidera parmi les bases, à mesure que tu t'essaieras à des exemples de programmes uniques et parfois hilarants, qui mettent en lumière des monstres voraces, des sorciers, des agents secrets, des corbeaux voleurs et d'autres curiosités du genre. Les définitions des termes utilisés, le code colorisé et expliqué en détail, ainsi que des illustrations en couleurs agrémentent l'apprentissage et le rendent plus aisé. Les fins de chapitres proposent des puzzles de programmation pour t'entraîner. À la fin du livre, tu auras programmé deux jeux complets : un clone du fameux jeu de pong (balle bondissante et raquette) et "M. Filiforme court vers la sortie", un jeu de plates- formes avec des sauts, des animations et bien plus. A partir de 10 ans Tout au long de cette aventure, tu apprendras à : te servir des structures de données fondamentales comme les listes, les tuples et les dictionnaires ; organiser et réutiliser ton code à l'aide de fonctions, de classes et de modules ; utiliser les structures de contrôle comme les boucles et les instructions conditionnelles ; dessiner des formes et des motifs à l'aide du module de la tortue de Python ; créer des jeux, des animations et d'autres merveilles avec tkinter. Pourquoi les adultes seraient-ils seuls à s'amuser ? Python pour les kids est ton ticket d'entrée dans le monde merveilleux de la programmation.


La révolte des élites

La révolte des élites

La révolte des élites

Author: Christopher Lasch

Publisher: Flammarion

Isbn 10: 208152080X

Category: Literary Collections

Number of Pages: 338

Number of Views: 887

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« Il fut un temps où ce qui était supposé menacer l’ordre social et les traditions civilisatrices de la culture occidentale, c’était la “révolte des masses”. De nos jours, cependant, il semble bien que la principale menace provienne non des masses, mais de ceux qui sont au sommet de la hiérarchie.» Dans ce livre testament, Christopher Lasch montre comment le détachement social, économique et géographique d’élites hédonistes et mondialisées est à l’origine du malaise de nos démocraties modernes. Cet essai brillant viendra nourrir la réflexion de ceux qui s’inquiètent de l’évolution d’un espace public et médiatique gouverné par des classes privilégiées, coupées du reste de la population.


First man - Le premier homme sur la Lune

First man - Le premier homme sur la Lune

First man - Le premier homme sur la Lune

Author: James r. Hansen

Publisher: Michel Lafon

Isbn 10: 2749938171

Category: Biography & Autobiography

Number of Pages: 494

Number of Views: 311

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La seule biographie autorisée ! Un événement littéraire et cinématographique. Le 21 juillet 1969, 600 millions de personnes à travers le monde retiennent leur souffle quand elles entendent Neil Armstrong prononcer ces mots désormais éternels : " C'est un petit pas pour l'homme, mais un bond de géant pour l'humanité. " Les images floues en noir et blanc de l'astronaute sautillant sur la surface lunaire, ou encore piquant sur le sol sablonneux le fameux drapeau américain viennent d'entrer dans l'Histoire. Comment, alors même que les États-Unis sont en pleine course spatiale contre l'URSS, cet ingénieur comme les autres se retrouve-t-il dans le programme Apollo 11 ? Comment se préparer à une mission aussi dangereuse, pour la grandeur d'un pays ? Quelle vie possible après, quand on a touché les étoiles ? Des années plus tard, ce héros très discret a accepté de lever le mystère en se confiant à l'historien James Hansen. Fort de cinquante heures d'interviews exclusives, d'un accès privilégié aux documents privés et aux récits familiaux, et de plusieurs années de recherche, Hansen nous livre un témoignage complet de la vie publique, privée et secrète de l'astronaute qui a changé à jamais le cours de l'Histoire.


Simula Research Laboratory

Simula Research Laboratory

Simula Research Laboratory

Author: Aslak Tveito,Are Magnus Bruaset,Olav Lysne

Publisher: Springer Science & Business Media

Isbn 10: 9783642011566

Category: Mathematics

Number of Pages: 656

Number of Views: 861

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When researchers gather around lunch tables, at conferences, or in bars, there are some topics that are more or less compulsory. The discussions are about the ho- less management of the university or the lab where they are working, the lack of funding for important research, politicians’ inability to grasp the potential of a p- ticularly promising ?eld, and the endless series of committees that seem to produce very little progress. It is common to meet excellent researchers claiming that they have almost no time to do research because writing applications, lecturing, and - tending to committee work seem to take most of their time. Very few ever come into a position to do something about it. With Simula we have this chance. We were handed a considerable annual grant and more or less left to ourselves to do whatever we thought would produce the best possible results. We wanted to create a place where researchers could have the time and conditions necessary to re?ect over dif?cult problems, uninterrupted by mundane dif?culties; where doctoral students could be properly supervised and learn the craft of research in a well-organized and professional manner; and where entrepreneurs could ?nd professional support in developing their research-based - plications and innovations.


Beyond Calculation

Beyond Calculation

Beyond Calculation

Author: Peter J. Denning,Robert M. Metcalfe

Publisher: Springer Science & Business Media

Isbn 10: 1461206855

Category: Computers

Number of Pages: 313

Number of Views: 1736

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In March 1997, the Association for Computing Machinery celebrated the fiftieth anniversary of the electronic computer. Computers are everywhere: in our cars, our homes, our supermarkets, at the office, and at the local hospital. But as the contributors to this volume make clear, the scientific, social and economic impact of computers is only now beginning to be felt. These sixteen invited essays on the future of computing take on a dazzling variety of topics, with opinions from such experts as Gordon Bell, Sherry Turkle, Edsger W. Dijkstra, Paul Abraham, Donald Norman, Franz Alt, and David Gelernter. This brilliantly eclectic collection will fascinate everybody with an interest in computers and where they are leading us.


Understanding the Digital World

Understanding the Digital World

Understanding the Digital World

Author: Brian W. Kernighan

Publisher: Princeton University Press

Isbn 10: 069121896X

Category: Computers

Number of Pages: 304

Number of Views: 1107

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A brand-new edition of the popular introductory textbook that explores how computer hardware, software, and networks work Computers are everywhere. Some are highly visible, in laptops, tablets, cell phones, and smart watches. But most are invisible, like those in appliances, cars, medical equipment, transportation systems, power grids, and weapons. We never see the myriad computers that quietly collect, share, and sometimes leak personal data about us. Governments and companies increasingly use computers to monitor what we do. Social networks and advertisers know more about us than we should be comfortable with. Criminals have all-too-easy access to our data. Do we truly understand the power of computers in our world? In this updated edition of Understanding the Digital World, Brian Kernighan explains how computer hardware, software, and networks work. Topics include how computers are built and how they compute; what programming is; how the Internet and web operate; and how all of these affect security, privacy, property, and other important social, political, and economic issues. Kernighan touches on fundamental ideas from computer science and some of the inherent limitations of computers, and new sections in the book explore Python programming, big data, machine learning, and much more. Numerous color illustrations, notes on sources for further exploration, and a glossary explaining technical terms and buzzwords are included. Understanding the Digital World is a must-read for readers of all backgrounds who want to know more about computers and communications.


Scientific Data Mining

Scientific Data Mining

Scientific Data Mining

Author: Chandrika Kamath

Publisher: SIAM

Isbn 10: 9780898717693

Category: Data mining

Number of Pages: 286

Number of Views: 1954

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Chandrika Kamath describes how techniques from the multi-disciplinary field of data mining can be used to address the modern problem of data overload in science and engineering domains. Starting with a survey of analysis problems in different applications, it identifies the common themes across these domains.


STEAM Education

STEAM Education

STEAM Education

Author: Myint Swe Khine,Shaljan Areepattamannil

Publisher: Springer

Isbn 10: 3030040038

Category: Education

Number of Pages: 188

Number of Views: 1895

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This book looks at the value of integrating the arts and sciences in the school curriculum. It argues that this will help students further their understanding of analytical concepts through the use of creativity. The authors illustrate how schools can work towards presenting common practices, concepts, and content. Coverage features case studies and lessons learned from classrooms across the United States. The notion of STEAM (Science, Technology, Engineering, Arts, and Mathematics) is an emerging discipline unique in its desire to provide a well-rounded approach to education. The chapters of this volume examine STEAM in a variety of settings, from kindergarten to higher education. Readers will learn about the practical considerations involved when introducing the arts and creativity into traditionally left brain processes. This includes best practices for creating and sustaining successful STEAM initiatives in any school, college, or university. For instance, one chapter discusses novel approaches to teach writing with the scientific method in order to help students better present their ideas. The authors also detail how the arts can engage more diverse learners, including students who are not traditionally interested in STEM subjects. They provide three concrete examples of classroom-tested inquiries: designing a prosthetic arm for a child, making a paleontology investigation, and taking a closer look at the arts within roller coaster engineering. This book is an invaluable resource for teachers and teacher trainers, university faculty, researchers, and school administrators. It will also be of interest to science, mathematics, engineering, computer science, information technology, arts and design and technology teachers.


Non-Conventional Materials and Technologies for Sustainable Engineering

Non-Conventional Materials and Technologies for Sustainable Engineering

Non-Conventional Materials and Technologies for Sustainable Engineering

Author: Khosrow Ghavami,Normando Perazzo Barbosa,Alexandr Zhemchuzhnikov

Publisher: Trans Tech Publications Ltd

Isbn 10: 3038263621

Category: Technology & Engineering

Number of Pages: 856

Number of Views: 657

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Collection of selected, peer reviewed papers from the 14th International Conference on Non-Conventional Materials and Technologies Construction Materials and Technologies for Sustainability (14th NOCMAT 2013) March 24-27, 2013, Joao Pessoa, Brazil. The 84 papers are grouped as follows: Chapter 1: Bamboo and Wood; Chapter 2: Earthen Materials and Constructions; Chapter 3: Cement, Mortar and Concrete; Chapter 4: Standards, Guidelines and Policy Issues; Chapter 5: Composites Reinforced with Vegetable Fibers; Chapter 6: Structural Integrity and Durability; Chapter 7: Advances in Research Methodologies and Material Testing; Chapter 8: Recycling of Industrial, Agricultural and Urban Waste; Chapter 9: Affordable Housing Using Low Cost Energy Saving Materials


Differentiated Instruction for the Middle School Science Teacher

Differentiated Instruction for the Middle School Science Teacher

Differentiated Instruction for the Middle School Science Teacher

Author: Joan D'Amico,Kate Gallaway

Publisher: John Wiley and Sons

Isbn 10: 9780470585177

Category: Education

Number of Pages: 256

Number of Views: 1025

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An indispensable guide for middle school science teachers who have inclusive classrooms The third volume in the Differentiated Instruction series, Differentiated Instruction for the Middle School Science Teacher offers teachers proven techniques for designing and delivering effective science instruction, measuring success, getting students to work together, and collaborating with other professionals. The ready-to-use activities are tied to core curriculum standards for middle school students and each lesson incorporates adaptations for students with different learning needs. Includes strategies for teaching a standards-based science curriculum Contains a wealth of activities that can be adapted for learners of all abilities Offers information for delivering effective instruction, measuring success, and student collaboration The authors, both experienced teachers, offer a range of techniques, such as station/group activities, enrichment activities, and modifications for students with specific disabilities.


How to Succeed in College and Beyond

How to Succeed in College and Beyond

How to Succeed in College and Beyond

Author: Daniel R. Schwarz

Publisher: John Wiley & Sons

Isbn 10: 1118974824

Category: Juvenile Nonfiction

Number of Pages: 208

Number of Views: 1207

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How to Succeed in College and Beyond is an insightful, inspired guide to the undergraduate experience that helps students balance the joy of learning with the necessity of career preparation. Features a wealth of advice for getting the most from an undergraduate education, especially inthe areas of arts and humanities, written by an experienced educator and mentor Covers the entire undergraduate experience, from high school preparation, applications,financial aid, each undergraduate year from freshman to senior, junior year abroad course selection, and extra-curricular activities, to independent study, honors essays, graduate school, dissertations, and career searches Discusses the benefits of pursuing an arts and humanities degree including how to write effectively, speak articulately, and think critically and discusses how to balance the joy and practicality of education in terms of getting vocationally-focused qualifications. Packed with information that is as helpful to students as it is to their parents, teachers, and advisors, this guide is a indispensible resource for prospective and present undergraduates


Managing

Managing

Managing

Author: Henry Mintzberg

Publisher: Pearson UK

Isbn 10: 0273745646

Category: Business & Economics

Number of Pages: 320

Number of Views: 1893

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This landmark book by one of the world’s leading business thinkers is about managing, pure if not simple. It tackles the big questions managers everywhere face, such as: How is anyone supposed to think, let alone think ahead, in this frenetic job? Are leaders really more important than managers? Is email destroying management practice? Are managers the only ones who can, or should, manage? How are managers supposed to connect when the very nature of their job disconnects them from what they are managing? How can you manage it when you can’t reliably measure it? MANAGING MAKES SENSE OF WHAT MIGHT BE THE WORLD’S MOST IMORTANT JOB.


Exercises in Programming Style

Exercises in Programming Style

Exercises in Programming Style

Author: Cristina Videira Lopes

Publisher: CRC Press

Isbn 10: 1000165299

Category: Computers

Number of Pages: 360

Number of Views: 1681

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Using a simple computational task (term frequency) to illustrate different programming styles, Exercises in Programming Style helps readers understand the various ways of writing programs and designing systems. It is designed to be used in conjunction with code provided on an online repository. The book complements and explains the raw code in a way that is accessible to anyone who regularly practices the art of programming. The first edition was honored as an ACM Notable Book and praised as "The best programming book of the decade." This new edition will retain the same presentation, but the entire book will be upgraded to Python 3, and a new section will be added on neural network styles. The book contains 33 different styles for writing the term frequency task. The styles are grouped into nine categories: historical, basic, function composition, objects and object interactions, reflection and metaprogramming, adversity, data-centric, concurrency, and interactivity. The author verbalizes the constraints in each style and explains the example programs. Each chapter first presents the constraints of the style, next shows an example program, and then gives a detailed explanation of the code. Most chapters also have sections focusing on the use of the style in systems design as well as sections describing the historical context in which the programming style emerged.


Pricing on Purpose

Pricing on Purpose

Pricing on Purpose

Author: Ronald J. Baker

Publisher: John Wiley & Sons

Isbn 10: 9780470893647

Category: Business & Economics

Number of Pages: 400

Number of Views: 1409

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Pricing on Purpose explores the importance of pricing, one of the four Ps (product, promotion, place, and price) of marketing, that is largely ignored in business literature. Pricing is the opportunity for a business to capture the value of what it provides to the customer, and deserves as much attention as promotion, product and place in the marketing strategy of any business. This book calls attention to the market share fallacy, explains the difference between cost-plus pricing and value pricing, and provides best-practice pricing examples. It presents the theory of value—long established in the economics profession—and how any business can use various pricing strategies to communicate and capture the value of their products and services.


Deep Learning By Example

Deep Learning By Example

Deep Learning By Example

Author: Ahmed Menshawy

Publisher: Packt Publishing Ltd

Isbn 10: 178839576X

Category: Computers

Number of Pages: 450

Number of Views: 1732

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Grasp the fundamental concepts of deep learning using Tensorflow in a hands-on manner Key Features Get a first-hand experience of the deep learning concepts and techniques with this easy-to-follow guide Train different types of neural networks using Tensorflow for real-world problems in language processing, computer vision, transfer learning, and more Designed for those who believe in the concept of 'learn by doing', this book is a perfect blend of theory and code examples Book Description Deep learning is a popular subset of machine learning, and it allows you to build complex models that are faster and give more accurate predictions. This book is your companion to take your first steps into the world of deep learning, with hands-on examples to boost your understanding of the topic. This book starts with a quick overview of the essential concepts of data science and machine learning which are required to get started with deep learning. It introduces you to Tensorflow, the most widely used machine learning library for training deep learning models. You will then work on your first deep learning problem by training a deep feed-forward neural network for digit classification, and move on to tackle other real-world problems in computer vision, language processing, sentiment analysis, and more. Advanced deep learning models such as generative adversarial networks and their applications are also covered in this book. By the end of this book, you will have a solid understanding of all the essential concepts in deep learning. With the help of the examples and code provided in this book, you will be equipped to train your own deep learning models with more confidence. What you will learn Understand the fundamentals of deep learning and how it is different from machine learning Get familiarized with Tensorflow, one of the most popular libraries for advanced machine learning Increase the predictive power of your model using feature engineering Understand the basics of deep learning by solving a digit classification problem of MNIST Demonstrate face generation based on the CelebA database, a promising application of generative models Apply deep learning to other domains like language modeling, sentiment analysis, and machine translation Who this book is for This book targets data scientists and machine learning developers who wish to get started with deep learning. If you know what deep learning is but are not quite sure of how to use it, this book will help you as well. An understanding of statistics and data science concepts is required. Some familiarity with Python programming will also be beneficial.


Leisure and Positive Psychology

Leisure and Positive Psychology

Leisure and Positive Psychology

Author: Robert A. Stebbins

Publisher: Springer

Isbn 10: 1137569948

Category: Social Science

Number of Pages: 156

Number of Views: 443

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This book explores, from a leisure studies perspective, the central role that leisure has to play in positive psychology, exploring themes such as flow, fulfilment, altruism, well-being, and interpersonal relationships.


100 Easy STEAM Activities

100 Easy STEAM Activities

100 Easy STEAM Activities

Author: Andrea Scalzo Yi

Publisher: Page Street Kids

Isbn 10: 162414893X

Category: Juvenile Nonfiction

Number of Pages: 192

Number of Views: 831

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Exciting Activities for Young Artists, Scientists and Engineers Spark your curiosity with these fun games and creative projects to learn early concepts in Science, Technology, Engineering, Art and Math. These incredible activities from Andrea Scalzo Yi, creator of Raising Dragons, make learning such a blast, you’ll forget you’re doing it! Feeling bored on a rainy day? Now you can pick a project, gather your supplies and let the magic happen. Try far-out science experiments like making Shaving Cream Rain Clouds or Lava Lamps. Make math-time snack-time with delicious Cream-Filled Cookie Fractions. Unlock boundless creativity with art projects like Marbled Paper or Monster Bugs. With seasonal activities like the Pool Noodle Obstacle Course and Erupting Pumpkins, there are games to love year-round. Have fun learning early ideas in chemistry, physics, computing, color-mixing and so much more, all while problem-solving and working together with friends. With projects that use common household items and require little adult supervision, 100 Easy STEAM Activities is the ultimate resource for an amazing, creative day of learning.


Regression Analysis with Python

Regression Analysis with Python

Regression Analysis with Python

Author: Luca Massaron,Alberto Boschetti

Publisher: Packt Publishing Ltd

Isbn 10: 1783980745

Category: Computers

Number of Pages: 312

Number of Views: 1354

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Learn the art of regression analysis with Python About This Book Become competent at implementing regression analysis in Python Solve some of the complex data science problems related to predicting outcomes Get to grips with various types of regression for effective data analysis Who This Book Is For The book targets Python developers, with a basic understanding of data science, statistics, and math, who want to learn how to do regression analysis on a dataset. It is beneficial if you have some knowledge of statistics and data science. What You Will Learn Format a dataset for regression and evaluate its performance Apply multiple linear regression to real-world problems Learn to classify training points Create an observation matrix, using different techniques of data analysis and cleaning Apply several techniques to decrease (and eventually fix) any overfitting problem Learn to scale linear models to a big dataset and deal with incremental data In Detail Regression is the process of learning relationships between inputs and continuous outputs from example data, which enables predictions for novel inputs. There are many kinds of regression algorithms, and the aim of this book is to explain which is the right one to use for each set of problems and how to prepare real-world data for it. With this book you will learn to define a simple regression problem and evaluate its performance. The book will help you understand how to properly parse a dataset, clean it, and create an output matrix optimally built for regression. You will begin with a simple regression algorithm to solve some data science problems and then progress to more complex algorithms. The book will enable you to use regression models to predict outcomes and take critical business decisions. Through the book, you will gain knowledge to use Python for building fast better linear models and to apply the results in Python or in any computer language you prefer. Style and approach This is a practical tutorial-based book. You will be given an example problem and then supplied with the relevant code and how to walk through it. The details are provided in a step by step manner, followed by a thorough explanation of the math underlying the solution. This approach will help you leverage your own data using the same techniques.


Deep Learning with Azure

Deep Learning with Azure

Deep Learning with Azure

Author: Mathew Salvaris,Danielle Dean,Wee Hyong Tok

Publisher: Apress

Isbn 10: 1484236793

Category: Computers

Number of Pages: 284

Number of Views: 1663

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Get up-to-speed with Microsoft's AI Platform. Learn to innovate and accelerate with open and powerful tools and services that bring artificial intelligence to every data scientist and developer. Artificial Intelligence (AI) is the new normal. Innovations in deep learning algorithms and hardware are happening at a rapid pace. It is no longer a question of should I build AI into my business, but more about where do I begin and how do I get started with AI? Written by expert data scientists at Microsoft, Deep Learning with the Microsoft AI Platform helps you with the how-to of doing deep learning on Azure and leveraging deep learning to create innovative and intelligent solutions. Benefit from guidance on where to begin your AI adventure, and learn how the cloud provides you with all the tools, infrastructure, and services you need to do AI. What You'll Learn Become familiar with the tools, infrastructure, and services available for deep learning on Microsoft Azure such as Azure Machine Learning services and Batch AI Use pre-built AI capabilities (Computer Vision, OCR, gender, emotion, landmark detection, and more) Understand the common deep learning models, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs) with sample code and understand how the field is evolving Discover the options for training and operationalizing deep learning models on Azure Who This Book Is For Professional data scientists who are interested in learning more about deep learning and how to use the Microsoft AI platform. Some experience with Python is helpful.