Luca Massaron

  • Découvrez à travers ce livre de la collection pour les Nuls les enjeux que représente l'intelligence artificielle
    L'intelligence artificielle est un sujet très excitant, dans l'air du temps mais pas toujours simple à comprendre. Elle intervient dans des domaines aussi variés que la protection contre les fraudes, la médecine, les services clients, le cinéma, la télévision ou encore dans le pilotage de votre maison connectée.
    Ce livre vous montrera ce qu'est et aussi ce que n'est pas l'intelligence artificielle, comment elle est utilisée dans différents domaines aujourd'hui et son avenir à court et moyen terme.
    Au programme :L'histoire de l'intelligence artificielleLe rôle joué par les donnéesL'utilisation de l'IA dans les applications informatiques, médicales et dans le machine learningBien comprendre les implications de l'utilisation de l'IAL'IA dans les domaines de la robotique et des drones

  • Data science avec Python pour les nuls

    ,

    • First interactive
    • 2 January 2020

    Découvrez Python le langage de prédilection de la science des données
    La science des données ou data science consiste à extraire des connaissance dans un flot de données. Elle utilise des techniques et des théories tirées de domaines comme les mathématiques et la statistique. Les méthodes qui s'adaptent aux big data sont particulièrement intéressantes dans la science des données.
    Ce livre est destiné à tous ceux qui travaillent dans le domaine de l'analyse de données et montre comment mettre en oeuvre le langage Python pour dans ce domaine et uassi celui de la statistique. Il traite également de Google Colab, un outil qui permet d'cire du code Python dans le cloud.
    Au programme :ProbabilitésDistributions aléatoiresTests d'hypothèsesRegressionsModèles de prédiction

  • Les algorithmes pour les nuls

    ,

    • First interactive
    • 14 September 2017

    Découvrez l'univers des algorithmes présents dans tous les systèmes informatiques d'aujourd'hui
    De nos jours tous les programmes informatiques comme par exemple ceux qui utilisent la compression de données ou les moteurs de recherche utilisent des algorithmes. Un algorithme permet de faire un choix dans un problème qui lui est présenté, et plus l'algorithme est puissant, plus le choix est rapide et bon.
    Le but de ce livre est d'expliquer comment fonctionnent les algorithmes et comment on peut les tester et les mettre en oeuvre. Vous verrez également comment modéliser un problème de façon à ce qu'il puisse être résolu par un ordinateur. Les algortihmes sont également la pièce maitresses des systèmes de Big Data.
    Ce livre s'adresse à toux ceux, étudiants, managers ouanalystes de données qui ont besoin des algorithmes dans la gestion des données qu'ils manipulent.

  • Le machine learning pour les nuls

    , ,

    • First interactive
    • 2 January 2020

    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 learningApprenez les langages du machine learning : Python et R, afin de vous adresser aux machines qui effectueront des traitements sur les donnéesApprenez à coder en R avec R studioApprenez à coder en Python en utilisant Anaconda

  • Artificial Intelligence For Dummies

    ,

    • For dummies
    • 25 October 2021

    Forget far-away dreams of the future. Artificial intelligence is here now!  Every time you use a smart device or some sort of slick technology-be it a smartwatch, smart speaker, security alarm, or even customer service chat box-you're engaging with artificial intelligence (AI). If you're curious about how AI is developed-or question whether AI is real-Artificial Intelligence For Dummies holds the answers you're looking for. Starting with a basic definition of AI and explanations of data use, algorithms, special hardware, and more, this reference simplifies this complex topic for anyone who wants to understand what operates the devices we can't live without.   This book will help you:  Separate the reality of artificial intelligence from the hype  Know what artificial intelligence can accomplish and what its limits are  Understand how AI speeds up data gathering and analysis to help you make informed decisions more quickly  See how AI is being used in hardware applications like drones, robots, and vehicles  Know where AI could be used in space, medicine, and communication fields sooner than you think  Almost 80 percent of the devices you interact with every day depend on some sort of AI. And although you don't need to understand AI to operate your smart speaker or interact with a bot, you'll feel a little smarter-dare we say more intelligent-when you know what's going on behind the scenes.  So don't wait. Pick up this popular guide to unlock the secrets of AI today! 

  • MACHINE LEARNING - 2ND EDITION

    ,

    • For dummies
    • 12 January 2021

    One of Mark Cuban's top reads for better understanding A.I. (inc.com, 2021) Your comprehensive entry-level guide to machine learning While machine learning expertise doesn't quite mean you can create your own Turing Test-proof android-as in the movie Ex Machina-it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. Anyone who masters the principles of machine learning is mastering a big part of our tech future and opening up incredible new directions in careers that include fraud detection, optimizing search results, serving real-time ads, credit-scoring, building accurate and sophisticated pricing models-and way, way more. Unlike most machine learning books, the fully updated 2nd Edition of Machine Learning For Dummies doesn't assume you have years of experience using programming languages such as Python (R source is also included in a downloadable form with comments and explanations), but lets you in on the ground floor, covering the entry-level materials that will get you up and running building models you need to perform practical tasks. It takes a look at the underlying-and fascinating-math principles that power machine learning but also shows that you don't need to be a math whiz to build fun new tools and apply them to your work and study. Understand the history of AI and machine learning Work with Python 3.8 and TensorFlow 2.x (and R as a download) Build and test your own models Use the latest datasets, rather than the worn out data found in other books Apply machine learning to real problems Whether you want to learn for college or to enhance your business or career performance, this friendly beginner's guide is your best introduction to machine learning, allowing you to become quickly confident using this amazing and fast-developing technology that's impacting lives for the better all over the world.

  • Algorithms For Dummies

    ,

    • For dummies
    • 11 April 2017

    Discover how algorithms shape and impact our digital world All data, big or small, starts with algorithms. Algorithms are mathematical equations that determine what we see-based on our likes, dislikes, queries, views, interests, relationships, and more-online. They are, in a sense, the electronic gatekeepers to our digital, as well as our physical, world. This book demystifies the subject of algorithms so you can understand how important they are business and scientific decision making. Algorithms for Dummies is a clear and concise primer for everyday people who are interested in algorithms and how they impact our digital lives. Based on the fact that we already live in a world where algorithms are behind most of the technology we use, this book offers eye-opening information on the pervasiveness and importance of this mathematical science-how it plays out in our everyday digestion of news and entertainment, as well as in its influence on our social interactions and consumerism. Readers even learn how to program an algorithm using Python! Become well-versed in the major areas comprising algorithms Examine the incredible history behind algorithms Get familiar with real-world applications of problem-solving procedures Experience hands-on development of an algorithm from start to finish with Python If you have a nagging curiosity about why an ad for that hammock you checked out on Amazon is appearing on your Facebook page, you'll find Algorithm for Dummies to be an enlightening introduction to this integral realm of math, science, and business.

  • Deep Learning For Dummies

    ,

    • For dummies
    • 15 April 2019

    Take a deep dive into deep learning  Deep learning provides the means for discerning patterns in the data that drive online business and social media outlets. Deep Learning for Dummies gives you the information you need to take the mystery out of the topic-and all of the underlying technologies associated with it.     In no time, you'll make sense of those increasingly confusing algorithms, and find a simple and safe environment to experiment with deep learning. The book develops a sense of precisely what deep learning can do at a high level and then provides examples of the major deep learning application types. Includes sample code Provides real-world examples within the approachable text Offers hands-on activities to make learning easier Shows you how to use Deep Learning more effectively with the right tools This book is perfect for those who want to better understand the basis of the underlying technologies that we use each and every day.  

  • Your logical, linear guide to the fundamentals of data science programming Data science is exploding-in a good way-with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in the know. This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models. Data Science Programming All-In-One For Dummies is a compilation of the key data science, machine learning, and deep learning programming languages: Python and R. It helps you decide which programming languages are best for specific data science needs. It also gives you the guidelines to build your own projects to solve problems in real time. Get grounded: the ideal start for new data professionals What lies ahead: learn about specific areas that data is transforming   Be meaningful: find out how to tell your data story See clearly: pick up the art of visualization Whether you're a beginning student or already mid-career, get your copy now and add even more meaning to your life-and everyone else's!

  • Algorithmen fr Dummies

    ,

    • Wiley-vch
    • 18 September 2017

    Wir leben in einer algorithmenbestimmten Welt. Deshalb lohnt es sich zu verstehen, wie Algorithmen arbeiten. Das Buch präsentiert die wichtigsten Anwendungsgebiete für Algorithmen: Optimierung, Sortiervorgänge, Graphentheorie, Textanalyse, Hashfunktionen. Zu jedem Algorithmus werden jeweils Hintergrundwissen und praktische Grundlagen vermittelt sowie Beispiele für aktuelle Anwendungen gegeben. Für interessierte Leser gibt es Umsetzungen in Python, sodass die Algorithmen auch verändert und die Auswirkungen der Veränderungen beobachtet werden knnen. Dieses Buch richtet sich an Menschen, die an Algorithmen interessiert sind, ohne eine Doktorarbeit zu dem Thema schreiben zu wollen. Wer es gelesen hat, versteht, wie wichtige Algorithmen arbeiten und wie man von dieser Arbeit beispielsweise bei der Entwicklung von Unternehmensstrategien profitieren kann.

  • Wollen Sie sich über Deep Learning informieren und vielleicht erste kleine Schritte machen, diese Technologie zu nutzen? Dann hilft Ihnen dieses Buch. Die Autoren erklären Ihnen, welchen Einfluss Deep Learning im Alltag hat und in welcher Beziehung es zu maschinellem Lernen steht. Sie sammeln erste eigene Erfahrungen mit vorgegebenen Python-Programmen und verstehen so die Funktionsweise von neuronalen Netzen und wie Bilder klassifiziert und Sprache sowie Text verarbeitet werden. So ist dieses Buch ein schneller erster und verständlicher Einstieg in Deep Learning.

  • Maschinelles Lernen ist aufregend: Mit schnellen Prozessoren und großen Speichern knnen Computer aus Erfahrungen lernen, künstliche Intelligenz kommt wieder in Reichweite. Mit diesem Buch verstehen Sie, was maschinelles Lernen bedeutet, für welche Probleme es sich eignet, welche neuen Herangehensweisen damit mglich sind und wie Sie mit Python, R und speziellen Werkzeugen maschinelles Lernen implementieren. Sie brauchen dafür keine jahrelange Erfahrung als Programmierer und kein Mathematikstudium. Die praktische Anwendung maschinellen Lernens steht in diesem Buch im Vordergrund. Spielen Sie mit den Tools und haben Sie Spaß dabei! Lernen Sie Fakten und Mythen zum maschinellen Lernen zu unterscheiden.

  • Sie wollen sich ernsthaft mit wissenschaftlicher Datenanalyse beschäftigen und wissen, dass Sie da an Python nur schwer vorbeikommen? Dann ist dieses das richtige Buch für Sie. John Paul Mueller erklärt Ihnen, was Sie in Python beherrschen müssen, um sich der Datenanalyse zu widmen inklusive Objekten, Funktionen, Modulen und Bibliotheken. Außerdem erläutert er die wichtigsten Bibliotheken für die Datenanalyse wie NumPy, SciPy, BeautifulSoup, Pandas, und MatPlobLib. So lernen Sie Python für die Datenanalyse richtig einsetzen.

  • Python for Data Science For Dummies

    ,

    • For dummies
    • 25 January 2019

    The fast and easy way to learn Python programming and statistics Python is a general-purpose programming language created in the late 1980s-and named after Monty Python-that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library.  Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud. Get started with data science and Python Visualize information Wrangle data Learn from data The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.

  • Python for Data Science For Dummies

    ,

    • For dummies
    • 29 January 2019

    The fast and easy way to learn Python programming and statistics Python is a general-purpose programming language created in the late 1980s-and named after Monty Python-that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library.  Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud. Get started with data science and Python Visualize information Wrangle data Learn from data The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.

empty