Personnaliser

OK

Data Science From Scratch - First Principles With Python - Grus, Joel

Filtrer par :
Publicité
 
Vous avez choisi le retrait chez le vendeur à
  • Payez directement sur Rakuten (CB, PayPal, 4xCB...)
  • Récupérez le produit directement chez le vendeur
  • Rakuten vous rembourse en cas de problème

Gratuit et sans engagement

Félicitations !

Nous sommes heureux de vous compter parmi nos membres du Club Rakuten !

En savoir plus

Retour

Horaires

      Note :


      Les meilleurs avis sur Data Science From Scratch de Grus, Joel Format Broché < - Livre Informatique

      Les avis publiés font l'objet d'un contrôle automatisé de Rakuten.


      Présentation Data Science From Scratch de Grus, Joel Format Broché

       - Livre Informatique

      Livre Informatique - Grus, Joel - 31/05/2019 - Broché - Langue : Anglais

      . .

    • Auteur(s) : Grus, Joel
    • Editeur : O'reilly Media
    • Langue : Anglais
    • Parution : 31/05/2019
    • Format : Moyen, de 350g à 1kg
    • Nombre de pages : 384
    • Expédition : 695
    • Dimensions : 23.3 x 17.7 x 2.6
    • ISBN : 9781492041139



    • Résumé :
      To really learn data science, you should not only master the tools - data science libraries, frameworks, modules, and toolkits - but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data scientist. Packed with new material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today's messy glut of data. Get a crash course in Python. Learn the basics of linear algebra, statistics, and probability - and how and when they're used in data science. Collect, explore, clean, munge, and manipulate data. Dive into the fundamentals of machine learning. Implement models such as k-nearest neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering. Explore recommender systems, natural language processing, network analysis, MapReduce, and databases.

      Biographie:
      Joel Grus is a research engineer at the Allen Institute for Artificial Intelligence. Previously he worked as a software engineer at Google and as a data scientist at several startups. He lives in Seattle, where he regularly attends data science happy hours. He blogs infrequently at joelgrus.com and tweets all day long at @joelgrus.

      © Notice établie par DECITRE, libraire

      Le choixNeuf et occasion
      Minimum5% remboursés
      La sécuritéSatisfait ou remboursé
      Le service clientsÀ votre écoute
      LinkedinFacebookTwitterInstagramYoutubePinterestTiktok
      visavisa
      mastercardmastercard
      klarnaklarna
      paypalpaypal
      floafloa
      americanexpressamericanexpress
      Rakuten Logo
      • Rakuten Kobo
      • Rakuten TV
      • Rakuten Viber
      • Rakuten Viki
      • Plus de services
      • À propos de Rakuten
      Rakuten.com