Statistique Et Simulation Avec Python Cours Et Exercices Corriges

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Statistique et Simulation Avec Python : Cours et Exercices Corrigés

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Author : Josué AFOUDA
Publisher :
ISBN 13 :
Total Pages : 288 pages
Book Rating : 4.5/5 (913 download)

Book Synopsis Statistique et Simulation Avec Python : Cours et Exercices Corrigés by : Josué AFOUDA

Download or read book Statistique et Simulation Avec Python : Cours et Exercices Corrigés written by Josué AFOUDA and published by . This book was released on 2021-01-06 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ce livre vous donnera beaucoup de plaisir à réaliser des analyses statistiques avec le langage Python. Il n'est pas du tout comme la plupart des livres de Statistique retrouvés sur le marché qui sont remplis de théories et de formules mathématiques tellement complexes que cela ne donne pas envie de les lire. Mon livre à moi est écrit dans un langage très simple et accessible à tout le monde. Nul besoin d'avoir un Master ou un Doctorat en Mathématiques pour comprendre tous les concepts présentés dans ce livre. Chaque notion est présentée sous forme d'activité résolue avec cas pratique. Le code est écrit de manière très simple avec des commentaires. De plus, des exercices sont glissés après chaque concept introduit pour vous aider à pratiquer au fur à mesure ce que vous apprenez. Tous les exercices sont entièrement résolus au dernier chapitre pour vous aider en cas de blocage. Vous pouvez donc utiliser ce livre en toute autonomie pour apprendre la Statistique avec Python. A travers ce livre, vous apprendrez à :- calculer des mesures de tendance centrale et des mesures de dispersion afin de décrire les données ;- créer et interpréter des graphiques de visualisation des données en utilisant Python ainsi que les librairies Matplotlib et Seaborn ;- effectuer des analyses multivariées afin d'examiner les relations existant entre plusieurs variables ;- penser de manière probabiliste afin de réaliser des inférences statistiques pour tirer des conclusions à partir d'échantillons de données ;- simuler des données afin d'estimer la probabilité d'un événement ;- rééchantilloner les données à l'aide de techniques comme le Bootstrapping et visualiser les échantillons bootstrap ;- calculer les intervalles de confiance des statistiques récapitulatives d'une population ;- identifier, effectuer et interpréter les tests d'hypothèse appropriés à utiliser pour les ensembles de données ;- appliquer des techniques de modélisation statistique aux données (régression linéaire et régression logistique) ;- interpréter les résultats d'une modélisation statistique et évaluer la qualité des modèles ;- comprendre l'apprentissage automatique ainsi que ses différences avec la modélisation statistique ;- construire et évaluer des modèles de Machine Learning (classification et régression).

Deep Learning

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Author : Ian Goodfellow
Publisher : MIT Press
ISBN 13 : 0262337371
Total Pages : 801 pages
Book Rating : 4.2/5 (623 download)

Book Synopsis Deep Learning by : Ian Goodfellow

Download or read book Deep Learning written by Ian Goodfellow and published by MIT Press. This book was released on 2016-11-10 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

2nd Pan-African Symposium on the Sustainable Use of Natural Resources in Africa

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Author : Bihini won wa Musiti
Publisher : IUCN
ISBN 13 : 2831706904
Total Pages : 344 pages
Book Rating : 4.8/5 (317 download)

Book Synopsis 2nd Pan-African Symposium on the Sustainable Use of Natural Resources in Africa by : Bihini won wa Musiti

Download or read book 2nd Pan-African Symposium on the Sustainable Use of Natural Resources in Africa written by Bihini won wa Musiti and published by IUCN. This book was released on 2003 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: This bilingual publication results from a four-day symposium aimed at capturing the general directions and analytical issues that characterize approaches to sustainable use in Africa. The papers included in this work are organized under four major headings: modes of use, devolution, scale issues and external issues. Authors explore these themes through the use of case studies and the description of specific regional experiences. External issues are further explored in a series of commissioned policy papers which have also been included.

Life Insurance Mathematics

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Author : Hans U. Gerber
Publisher : Springer Science & Business Media
ISBN 13 : 3662026554
Total Pages : 137 pages
Book Rating : 4.6/5 (62 download)

Book Synopsis Life Insurance Mathematics by : Hans U. Gerber

Download or read book Life Insurance Mathematics written by Hans U. Gerber and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: HaIley's Comet has been prominently displayed in many newspapers during the last few months. For the first time in 76 years it appeared this winter, clearly visible against the nocturnal sky. This is an appropriate occasion to point out the fact that Sir Edmund Halley also constructed the world's first life table in 1693, thus creating the scientific foundation of life insurance. Halley's life table and its successors were viewed as deterministic laws, i. e. the number of deaths in any given group and year was considered to be a weIl defined number that could be calculated by means of a life table. However, in reality this number is random. Thus any mathematical treatment of life insurance will have to rely more and more on prob ability theory. By sponsoring this monograph the Swiss Association of Actuaries wishes to support the "modern" probabilistic view oflife contingencies. We are fortu nate that Professor Gerber, an internationally renowned expert, has assumed the task of writing the monograph. We thank the Springer-Verlag and hope that this monograph will be the first in a successful series of actuarial texts. Hans Bühlmann Zürich, March 1986 President Swiss Association of Actuaries Preface Two major developments have influenced the environment of actuarial math ematics. One is the arrival of powerful and affordable computers; the once important problem of numerical calculation has become almost trivial in many instances.

Signal Processing for Communications

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Author : Paolo Prandoni
Publisher : Collection Savoir suisse
ISBN 13 : 2940222207
Total Pages : 392 pages
Book Rating : 4.9/5 (42 download)

Book Synopsis Signal Processing for Communications by : Paolo Prandoni

Download or read book Signal Processing for Communications written by Paolo Prandoni and published by Collection Savoir suisse. This book was released on 2008-06-17 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: With a novel, less classical approach to the subject, the authors have written a book with the conviction that signal processing should be taught to be fun. The treatment is therefore less focused on the mathematics and more on the conceptual aspects, the idea being to allow the readers to think about the subject at a higher conceptual level, thus building the foundations for more advanced topics. The book remains an engineering text, with the goal of helping students solve real-world problems. In this vein, the last chapter pulls together the individual topics as discussed throughout the book into an in-depth look at the development of an end-to-end communication system, namely, a modem for communicating digital information over an analog channel.

Generalized Structured Component Analysis

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Author : Heungsun Hwang
Publisher : CRC Press
ISBN 13 : 146659294X
Total Pages : 346 pages
Book Rating : 4.4/5 (665 download)

Book Synopsis Generalized Structured Component Analysis by : Heungsun Hwang

Download or read book Generalized Structured Component Analysis written by Heungsun Hwang and published by CRC Press. This book was released on 2014-12-11 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developed by the authors, generalized structured component analysis is an alternative to two longstanding approaches to structural equation modeling: covariance structure analysis and partial least squares path modeling. Generalized structured component analysis allows researchers to evaluate the adequacy of a model as a whole, compare a model to alternative specifications, and conduct complex analyses in a straightforward manner. Generalized Structured Component Analysis: A Component-Based Approach to Structural Equation Modeling provides a detailed account of this novel statistical methodology and its various extensions. The authors present the theoretical underpinnings of generalized structured component analysis and demonstrate how it can be applied to various empirical examples. The book enables quantitative methodologists, applied researchers, and practitioners to grasp the basic concepts behind this new approach and apply it to their own research. The book emphasizes conceptual discussions throughout while relegating more technical intricacies to the chapter appendices. Most chapters compare generalized structured component analysis to partial least squares path modeling to show how the two component-based approaches differ when addressing an identical issue. The authors also offer a free, online software program (GeSCA) and an Excel-based software program (XLSTAT) for implementing the basic features of generalized structured component analysis.

Interactive Dashboards and Data Apps with Plotly and Dash

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Author : Elias Dabbas
Publisher : Packt Publishing Ltd
ISBN 13 : 1800560354
Total Pages : 364 pages
Book Rating : 4.8/5 (5 download)

Book Synopsis Interactive Dashboards and Data Apps with Plotly and Dash by : Elias Dabbas

Download or read book Interactive Dashboards and Data Apps with Plotly and Dash written by Elias Dabbas and published by Packt Publishing Ltd. This book was released on 2021-05-21 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build web-based, mobile-friendly analytic apps and interactive dashboards with Python Key Features Develop data apps and dashboards without any knowledge of JavaScript Map different types of data such as integers, floats, and dates to bar charts, scatter plots, and more Create controls and visual elements with multiple inputs and outputs and add functionality to the app as per your requirements Book DescriptionPlotly's Dash framework is a life-saver for Python developers who want to develop complete data apps and interactive dashboards without JavaScript, but you'll need to have the right guide to make sure you’re getting the most of it. With the help of this book, you'll be able to explore the functionalities of Dash for visualizing data in different ways. Interactive Dashboards and Data Apps with Plotly and Dash will first give you an overview of the Dash ecosystem, its main packages, and the third-party packages crucial for structuring and building different parts of your apps. You'll learn how to create a basic Dash app and add different features to it. Next, you’ll integrate controls such as dropdowns, checkboxes, sliders, date pickers, and more in the app and then link them to charts and other outputs. Depending on the data you are visualizing, you'll also add several types of charts, including scatter plots, line plots, bar charts, histograms, and maps, as well as explore the options available for customizing them. By the end of this book, you'll have developed the skills you need to create and deploy an interactive dashboard, handle complexities and code refactoring, and understand the process of improving your application.What you will learn Find out how to run a fully interactive and easy-to-use app Convert your charts to various formats including images and HTML files Use Plotly Express and the grammar of graphics for easily mapping data to various visual attributes Create different chart types, such as bar charts, scatter plots, histograms, maps, and more Expand your app by creating dynamic pages that generate content based on URLs Implement new callbacks to manage charts based on URLs and vice versa Who this book is for This Plotly Dash book is for data professionals and data analysts who want to gain a better understanding of their data with the help of different visualizations and dashboards – and without having to use JS. Basic knowledge of the Python programming language and HTML will help you to grasp the concepts covered in this book more effectively, but it’s not a prerequisite.

Metafun

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Author : Hans Hagen
Publisher :
ISBN 13 : 9789490688028
Total Pages : 370 pages
Book Rating : 4.6/5 (88 download)

Book Synopsis Metafun by : Hans Hagen

Download or read book Metafun written by Hans Hagen and published by . This book was released on 2010 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning for Data Streams

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Author : Albert Bifet
Publisher : MIT Press
ISBN 13 : 0262346052
Total Pages : 262 pages
Book Rating : 4.2/5 (623 download)

Book Synopsis Machine Learning for Data Streams by : Albert Bifet

Download or read book Machine Learning for Data Streams written by Albert Bifet and published by MIT Press. This book was released on 2018-03-16 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework. Today many information sources—including sensor networks, financial markets, social networks, and healthcare monitoring—are so-called data streams, arriving sequentially and at high speed. Analysis must take place in real time, with partial data and without the capacity to store the entire data set. This book presents algorithms and techniques used in data stream mining and real-time analytics. Taking a hands-on approach, the book demonstrates the techniques using MOA (Massive Online Analysis), a popular, freely available open-source software framework, allowing readers to try out the techniques after reading the explanations. The book first offers a brief introduction to the topic, covering big data mining, basic methodologies for mining data streams, and a simple example of MOA. More detailed discussions follow, with chapters on sketching techniques, change, classification, ensemble methods, regression, clustering, and frequent pattern mining. Most of these chapters include exercises, an MOA-based lab session, or both. Finally, the book discusses the MOA software, covering the MOA graphical user interface, the command line, use of its API, and the development of new methods within MOA. The book will be an essential reference for readers who want to use data stream mining as a tool, researchers in innovation or data stream mining, and programmers who want to create new algorithms for MOA.

Natural Language Processing with PyTorch

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Author : Delip Rao
Publisher : O'Reilly Media
ISBN 13 : 1491978201
Total Pages : 256 pages
Book Rating : 4.4/5 (919 download)

Book Synopsis Natural Language Processing with PyTorch by : Delip Rao

Download or read book Natural Language Processing with PyTorch written by Delip Rao and published by O'Reilly Media. This book was released on 2019-01-22 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural Language Processing (NLP) provides boundless opportunities for solving problems in artificial intelligence, making products such as Amazon Alexa and Google Translate possible. If you’re a developer or data scientist new to NLP and deep learning, this practical guide shows you how to apply these methods using PyTorch, a Python-based deep learning library. Authors Delip Rao and Brian McMahon provide you with a solid grounding in NLP and deep learning algorithms and demonstrate how to use PyTorch to build applications involving rich representations of text specific to the problems you face. Each chapter includes several code examples and illustrations. Explore computational graphs and the supervised learning paradigm Master the basics of the PyTorch optimized tensor manipulation library Get an overview of traditional NLP concepts and methods Learn the basic ideas involved in building neural networks Use embeddings to represent words, sentences, documents, and other features Explore sequence prediction and generate sequence-to-sequence models Learn design patterns for building production NLP systems

Introduction to Risk Parity and Budgeting

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Author : Thierry Roncalli
Publisher : CRC Press
ISBN 13 : 1482207168
Total Pages : 430 pages
Book Rating : 4.4/5 (822 download)

Book Synopsis Introduction to Risk Parity and Budgeting by : Thierry Roncalli

Download or read book Introduction to Risk Parity and Budgeting written by Thierry Roncalli and published by CRC Press. This book was released on 2016-04-19 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although portfolio management didn't change much during the 40 years after the seminal works of Markowitz and Sharpe, the development of risk budgeting techniques marked an important milestone in the deepening of the relationship between risk and asset management. Risk parity then became a popular financial model of investment after the global fina

Elements of Causal Inference

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Author : Jonas Peters
Publisher : MIT Press
ISBN 13 : 0262037319
Total Pages : 289 pages
Book Rating : 4.2/5 (62 download)

Book Synopsis Elements of Causal Inference by : Jonas Peters

Download or read book Elements of Causal Inference written by Jonas Peters and published by MIT Press. This book was released on 2017-11-29 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.

Agent-Based Models of Geographical Systems

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Author : Alison J. Heppenstall
Publisher : Springer Science & Business Media
ISBN 13 : 9048189276
Total Pages : 747 pages
Book Rating : 4.0/5 (481 download)

Book Synopsis Agent-Based Models of Geographical Systems by : Alison J. Heppenstall

Download or read book Agent-Based Models of Geographical Systems written by Alison J. Heppenstall and published by Springer Science & Business Media. This book was released on 2011-11-24 with total page 747 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique book brings together a comprehensive set of papers on the background, theory, technical issues and applications of agent-based modelling (ABM) within geographical systems. This collection of papers is an invaluable reference point for the experienced agent-based modeller as well those new to the area. Specific geographical issues such as handling scale and space are dealt with as well as practical advice from leading experts about designing and creating ABMs, handling complexity, visualising and validating model outputs. With contributions from many of the world’s leading research institutions, the latest applied research (micro and macro applications) from around the globe exemplify what can be achieved in geographical context. This book is relevant to researchers, postgraduate and advanced undergraduate students, and professionals in the areas of quantitative geography, spatial analysis, spatial modelling, social simulation modelling and geographical information sciences.

Buyology

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Author : Martin Lindstrom
Publisher : Currency
ISBN 13 : 0385523890
Total Pages : 274 pages
Book Rating : 4.3/5 (855 download)

Book Synopsis Buyology by : Martin Lindstrom

Download or read book Buyology written by Martin Lindstrom and published by Currency. This book was released on 2010-02-02 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: NEW YORK TIMES BESTSELLER • “A fascinating look at how consumers perceive logos, ads, commercials, brands, and products.”—Time How much do we know about why we buy? What truly influences our decisions in today’s message-cluttered world? In Buyology, Martin Lindstrom presents the astonishing findings from his groundbreaking three-year, seven-million-dollar neuromarketing study—a cutting-edge experiment that peered inside the brains of 2,000 volunteers from all around the world as they encountered various ads, logos, commercials, brands, and products. His startling results shatter much of what we have long believed about what captures our interest—and drives us to buy. Among the questions he explores: • Does sex actually sell? • Does subliminal advertising still surround us? • Can “cool” brands trigger our mating instincts? • Can our other senses—smell, touch, and sound—be aroused when we see a product? Buyology is a fascinating and shocking journey into the mind of today's consumer that will captivate anyone who's been seduced—or turned off—by marketers' relentless attempts to win our loyalty, our money, and our minds.

The Physics of Information Technology

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Author : Neil Gershenfeld
Publisher : Cambridge University Press
ISBN 13 : 9780521580441
Total Pages : 390 pages
Book Rating : 4.5/5 (84 download)

Book Synopsis The Physics of Information Technology by : Neil Gershenfeld

Download or read book The Physics of Information Technology written by Neil Gershenfeld and published by Cambridge University Press. This book was released on 2000-10-16 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Physics of Information Technology explores the familiar devices that we use to collect, transform, transmit, and interact with electronic information. Many such devices operate surprisingly close to very many fundamental physical limits. Understanding how such devices work, and how they can (and cannot) be improved, requires deep insight into the character of physical law as well as engineering practice. The book starts with an introduction to units, forces, and the probabilistic foundations of noise and signalling, then progresses through the electromagnetics of wired and wireless communications, and the quantum mechanics of electronic, optical, and magnetic materials, to discussions of mechanisms for computation, storage, sensing, and display. This self-contained volume will help both physical scientists and computer scientists see beyond the conventional division between hardware and software to understand the implications of physical theory for information manipulation.

Hands-On Unsupervised Learning Using Python

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Author : Ankur A. Patel
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492035599
Total Pages : 310 pages
Book Rating : 4.4/5 (92 download)

Book Synopsis Hands-On Unsupervised Learning Using Python by : Ankur A. Patel

Download or read book Hands-On Unsupervised Learning Using Python written by Ankur A. Patel and published by "O'Reilly Media, Inc.". This book was released on 2019-02-21 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised learning, on the other hand, can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover. Author Ankur Patel shows you how to apply unsupervised learning using two simple, production-ready Python frameworks: Scikit-learn and TensorFlow using Keras. With code and hands-on examples, data scientists will identify difficult-to-find patterns in data and gain deeper business insight, detect anomalies, perform automatic feature engineering and selection, and generate synthetic datasets. All you need is programming and some machine learning experience to get started. Compare the strengths and weaknesses of the different machine learning approaches: supervised, unsupervised, and reinforcement learning Set up and manage machine learning projects end-to-end Build an anomaly detection system to catch credit card fraud Clusters users into distinct and homogeneous groups Perform semisupervised learning Develop movie recommender systems using restricted Boltzmann machines Generate synthetic images using generative adversarial networks

French books in print, anglais

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Author : Electre
Publisher :
ISBN 13 : 9782765407881
Total Pages : 1844 pages
Book Rating : 4.4/5 (78 download)

Book Synopsis French books in print, anglais by : Electre

Download or read book French books in print, anglais written by Electre and published by . This book was released on 2000 with total page 1844 pages. Available in PDF, EPUB and Kindle. Book excerpt: