Python Pour Le Data Scientist

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Python En Pratique Pour Le Data Scientist

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Author : Patrice Rey
language : fr
Publisher: BoD - Books on Demand
Release Date : 2024-12-10

Python En Pratique Pour Le Data Scientist written by Patrice Rey and has been published by BoD - Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-10 with Computers categories.

Python s'est imposé ces dernières années comme un langage de programmation incontournable dans de nombreux domaines. En science des données (data science), il se distingue comme un outil essentiel pour mener à bien des projets complexes grâce à son caractère universel. Il constitue aujourd'hui l'outil de choix pour la création de prototypes et un allié incontournable dans les domaines du big data, du machine learning, du deep learning et de l'intelligence artificielle. Cet ouvrage a pour but de vous accompagner dans la découverte de Python, un langage à la fois simple d'utilisation et puissant pour les utilisateurs travaillant avec les données. L'objectif est de vous fournir les connaissances nécessaires pour comprendre et maitriser Python dans le contexte de la data science. Pour quiconque aspire à devenir data scientist ou l'est déjà, la maitrise de Python est désormais un impératif.

Python Pour Le Data Scientist

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Author : Emmanuel Jakobowicz
language : fr
Publisher: Dunod
Release Date : 2019-07-04

Python Pour Le Data Scientist written by Emmanuel Jakobowicz and has been published by Dunod this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-04 with Computers categories.

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.

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Author :
language : en
Publisher: BoD - Books on Demand
Release Date :

written by and has been published by BoD - Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

Python For Data Science For Dummies

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Author : John Paul Mueller
language : en
Publisher: John Wiley & Sons
Release Date : 2015-07-07

Python For Data Science For Dummies written by John Paul Mueller and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-07 with Computers categories.

Unleash the power of Python for your data analysis projects with For Dummies! Python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization. Python for Data Science For Dummies shows you how to take advantage of Python programming to acquire, organize, process, and analyze large amounts of information and use basic statistics concepts to identify trends and patterns. You’ll get familiar with the Python development environment, manipulate data, design compelling visualizations, and solve scientific computing challenges as you work your way through this user-friendly guide. Covers the fundamentals of Python data analysis programming and statistics to help you build a solid foundation in data science concepts like probability, random distributions, hypothesis testing, and regression models Explains objects, functions, modules, and libraries and their role in data analysis Walks you through some of the most widely-used libraries, including NumPy, SciPy, BeautifulSoup, Pandas, and MatPlobLib Whether you’re new to data analysis or just new to Python, Python for Data Science For Dummies is your practical guide to getting a grip on data overload and doing interesting things with the oodles of information you uncover.

Hands On Data Science For Biologists Using Python

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Author : Yasha Hasija
language : en
Publisher: CRC Press
Release Date : 2021-04-09

Hands On Data Science For Biologists Using Python written by Yasha Hasija and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-09 with Science categories.

Hands-on Data Science for Biologists using Python has been conceptualized to address the massive data handling needs of modern-day biologists. With the advent of high throughput technologies and consequent availability of omics data, biological science has become a data-intensive field. This hands-on textbook has been written with the inception of easing data analysis by providing an interactive, problem-based instructional approach in Python programming language. The book starts with an introduction to Python and steadily delves into scrupulous techniques of data handling, preprocessing, and visualization. The book concludes with machine learning algorithms and their applications in biological data science. Each topic has an intuitive explanation of concepts and is accompanied with biological examples. Features of this book: The book contains standard templates for data analysis using Python, suitable for beginners as well as advanced learners. This book shows working implementations of data handling and machine learning algorithms using real-life biological datasets and problems, such as gene expression analysis; disease prediction; image recognition; SNP association with phenotypes and diseases. Considering the importance of visualization for data interpretation, especially in biological systems, there is a dedicated chapter for the ease of data visualization and plotting. Every chapter is designed to be interactive and is accompanied with Jupyter notebook to prompt readers to practice in their local systems. Other avant-garde component of the book is the inclusion of a machine learning project, wherein various machine learning algorithms are applied for the identification of genes associated with age-related disorders. A systematic understanding of data analysis steps has always been an important element for biological research. This book is a readily accessible resource that can be used as a handbook for data analysis, as well as a platter of standard code templates for building models.

Big Data For Insurance Companies

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Author : Marine Corlosquet-Habart
language : en
Publisher: John Wiley & Sons
Release Date : 2018-01-19

Big Data For Insurance Companies written by Marine Corlosquet-Habart and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-19 with Business & Economics categories.

This book will be a "must" for people who want good knowledge of big data concepts and their applications in the real world, particularly in the field of insurance. It will be useful to people working in finance and to masters students using big data tools. The authors present the bases of big data: data analysis methods, learning processes, application to insurance and position within the insurance market. Individual chapters a will be written by well-known authors in this field.

Machine Learning Optimization And Data Science

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Author : Giuseppe Nicosia
language : en
Publisher: Springer Nature
Release Date : 2022-02-01

Machine Learning Optimization And Data Science written by Giuseppe Nicosia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-01 with Computers categories.

This two-volume set, LNCS 13163-13164, constitutes the refereed proceedings of the 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, together with the first edition of the Symposium on Artificial Intelligence and Neuroscience, ACAIN 2021. The total of 86 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 215 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, neuroscience, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.​

Data Science Manuale Italiano Advanced Machine Learning E Deployment

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Author : Mario A. B. Capurso
language : en
Publisher: Mario Capurso
Release Date :

Data Science Manuale Italiano Advanced Machine Learning E Deployment written by Mario A. B. Capurso and has been published by Mario Capurso this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Questa opera segue il curriculum 2021 della Association for Computing Machinery per specialisti in Scienze dei Dati, con l’obiettivo di costituire un “Bignami” della Scienza ed Ingegneria dei Dati e facilitare il percorso di formazione personale a partire da competenze specialistiche in Informatica o Matematica o Statistica per un lettore di lingua madre italiana. Parte di una serie di testi, riepiloga prima di tutto la metodologia di lavoro standard CRISP DM utilizzata in questa opera e in progetti di Scienza dei Dati. Poichè questo testo utilizza Orange per gli aspetti applicativi, ne descrive l’installazione ed i widget. La fase di modellizzazione dei dati viene considerata nell’ottica dell’apprendimento automatico riepilogando i tipi di apprendimento automatico, i tipi di modelli, i tipi di problemi e i tipi di algoritmi. Sono descritti gli aspetti avanzati associati alla modellizzazione quali le funzioni di perdita e di ottimizzazione come la gradient descent, le tecniche per analizzare le prestazioni dei modelli come il Bootstrapping e la Cross Validation. Vengono analizzati gli scenari di deployment e le più comuni piattaforme, con esempi applicativi. Vengono proposti i meccanismi per automatizzare l’apprendimento automatico e per supportare l’interpretabilità dei modelli e dei risultati come Partial Dependence Plot, Permuted Feature Importance e altre. Gli esercizi sono descritti con Orange e Python con l’uso della libreria Keras/Tensorflow. Il testo è corredato di materiale di supporto ed è possibile scaricare gli esempi in Orange e i dati di prova.

Python Pour Le Data Scientist 3e D

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Author : Emmanuel Jakobowicz
language : fr
Publisher: Dunod
Release Date : 2024-03-13

Python Pour Le Data Scientist 3e D written by Emmanuel Jakobowicz and has been published by Dunod this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-13 with Computers categories.

Si vous vous intéressez au traitement des données avec le langage Python, cet ouvrage s’adresse à vous. Que vous soyez débutant en Python ou que vous ayez une expérience significative, il vous apportera les clés pour utiliser ce langage en data science. Ce livre répond à de nombreuses questions sur Python : Comment utiliser Python en data science ? Comment coder en Python ? Comment préparer des données avec Python ? Comment créer des visualisations attractives avec Python ? Comment appliquer des modèles de machine learning et de deep learning avec Python ? Comment passer aux environnements big data ? Pour mettre en place vos traitements, vous apprendrez à tirer parti des multiples outils Python tels que Anaconda, Jupyter, NumPy, Pandas, Matplotlib, Seaborn, Bokeh, Scikit-Learn, TensorFlow, PySpark... Cette troisième édition, entièrement refondue et augmentée, est enrichie des mises à jour de code liées aux évolutions de Python et des packages de data science. L’ensemble du code compris dans cet ouvrage est disponible sous la forme de notebooks Jupyter dans le repository public de l’auteur : https://github.com/emjako/pythondatascientist

Developing Analytic Talent

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Author : Vincent Granville
language : en
Publisher: John Wiley & Sons
Release Date : 2014-04-07

Developing Analytic Talent written by Vincent Granville and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-07 with Computers categories.

Learn what it takes to succeed in the the most in-demand tech job Harvard Business Review calls it the sexiest tech job of the 21st century. Data scientists are in demand, and this unique book shows you exactly what employers want and the skill set that separates the quality data scientist from other talented IT professionals. Data science involves extracting, creating, and processing data to turn it into business value. With over 15 years of big data, predictive modeling, and business analytics experience, author Vincent Granville is no stranger to data science. In this one-of-a-kind guide, he provides insight into the essential data science skills, such as statistics and visualization techniques, and covers everything from analytical recipes and data science tricks to common job interview questions, sample resumes, and source code. The applications are endless and varied: automatically detecting spam and plagiarism, optimizing bid prices in keyword advertising, identifying new molecules to fight cancer, assessing the risk of meteorite impact. Complete with case studies, this book is a must, whether you're looking to become a data scientist or to hire one. Explains the finer points of data science, the required skills, and how to acquire them, including analytical recipes, standard rules, source code, and a dictionary of terms Shows what companies are looking for and how the growing importance of big data has increased the demand for data scientists Features job interview questions, sample resumes, salary surveys, and examples of job ads Case studies explore how data science is used on Wall Street, in botnet detection, for online advertising, and in many other business-critical situations Developing Analytic Talent: Becoming a Data Scientist is essential reading for those aspiring to this hot career choice and for employers seeking the best candidates.