Personnaliser

OK

Machine Learning Using R - Abhishek Singh

Note : 0

0 avis
  • Soyez le premier à donner un avis

Vous en avez un à vendre ?

Vendez-le-vôtre
Filtrer par :
Neuf (2)
Occasion
Reconditionné

78,94 €

Produit Neuf

  • Ou 19,74 € /mois

    • Livraison à 0,01 €
    • Livré entre le 4 et le 11 mai
    Voir les modes de livraison

    RiaChristie

    PRO Vendeur favori

    4,9/5 sur + de 1 000 ventes

    Brand new, In English, Fast shipping from London, UK; Tout neuf, en anglais, expédition rapide depuis Londres, Royaume-Uni;ria9781484242148_dbm

    Nos autres offres

    • 110,34 €

      Produit Neuf

      Ou 27,59 € /mois

      • Livraison : 25,00 €
      • Livré entre le 18 et le 23 mai
      Voir les modes de livraison
      4,8/5 sur + de 1 000 ventes

      Apres acceptation de la commande, le delai moyen d'expedition depuis le Japon est de 48 heures. Le delai moyen de livraison est de 3 a 4 semaines. En cas de circonstances exceptionnelles, les delais peuvent s'etendre jusqu'à 2 mois.

    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 :


        Avis sur Machine Learning Using R de Abhishek Singh Format Broché  - Livre Informatique

        Note : 0 0 avis sur Machine Learning Using R de Abhishek Singh Format Broché  - Livre Informatique

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


        Présentation Machine Learning Using R de Abhishek Singh Format Broché

         - Livre Informatique

        Livre Informatique - Abhishek Singh - 01/12/2018 - Broché - Langue : Anglais

        . .

      • Auteur(s) : Abhishek Singh - Karthik Ramasubramanian
      • Editeur : Apress L.P.
      • Langue : Anglais
      • Parution : 01/12/2018
      • Format : Moyen, de 350g à 1kg
      • Nombre de pages : 700
      • Expédition : 1337
      • Dimensions : 25.4 x 17.8 x 3.8
      • ISBN : 1484242149



      • Résumé :
        Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python if you are only comfortable with R.
        As in the first edition, the authors have kept the fine balance of theory and application of machine learning through various real-world use-cases which gives you a comprehensive collection of topics in machine learning. New chapters in this edition cover time series models and deep learning.What You'll Learn

        Understand machine learning algorithms using R

        Master the process of building machine-learning models

        Cover the theoretical foundations of machine-learning algorithms

        See industry focused real-world use cases

        Tackle time series modeling in R

        Apply deep learning using Keras and TensorFlow in R




        Who This Book is For
        Data scientists, data science professionals, and researchers in academia who want to understand the nuances of machine-learning approaches/algorithms in practice using R.

        Biographie:

        Karthik Ramasubramanian has over seven years' experience leading data science and business analytics in retail, FMCG, e-commerce, information technology and hospitality for multi-national companies and unicorn startups. A researcher and problem solver with a diverse set of experience in the data science life cycle, starting from a data problem discovery to creating data science PoCs and products for various industry use cases. In his leadership roles, he has been instrumental in solving many ROI-driven business problems through data science solutions. He has mentored and trained hundreds of professionals and students around the world through various online platforms and university engagement programs in data science.

        He has designed, developed and spearheaded many A/B experiment frameworks for improving product features, conceptualized funnel analysis for understanding user interactions and identifying the friction points within a product, and designed statistically robust metrics. On the predictive side, he has developed intelligent chatbots based on deep learning models which understands human-like interactions, customer segmentation models, recommendation systems and many natural language processing models.

        His current areas of interest include ROI-driven data product development, advanced machine learning algorithms, data product frameworks, Internet of Things (IoT), scalable data platforms, and model deployment frameworks.

        Karthik completed his M.Sc. (Theoretical Computer Science) from PSG College of Technology, Coimbatore (Affiliated to Anna University, Chennai), where he pioneered the application of machine learning, data mining and fuzzy logic in his research work on computer and network security.

        Abhishek Singh is on a mission to profess the de facto language of this millennium, the numbers. He is on a journey to bring machine closer to human, for a better and beautiful world around us by generating opportunities with artificial intelligence and machine learning. He leads team of data science professionals who are solving pressing problems in food security, cyber security, natural disaster, healthcare and many more areas, all with help of data and technology. Abhishek is in the process of bringing smart IoT devices to smaller cities in India for people to leverage technology to improve their lives.

        He has worked with colleagues from many parts of the USA, Europe and Asia, and strives to work with more people from various backgrounds. In a span of six years at big corporates, he has stress tested the assets of US banks, solved insurance pricing models, and made the telecom experience easier for customers, and is now creating data science opportunities with his team of young minds.

        He actively participates in analytics-related thought leadership, writing, public speaking, meet-ups and training in data science. He is staunch supporter of responsible use of AI to remove biases and fair use for a better society.

        Abhishek completed his MBA from IIM Bangalore, B.Tech. (Mathematics and Computing) from IIT Guwahati, and PG Diploma (Cyber Law) from NALSAR University, Hyderabad.

        Détails de conformité du produit

        Consulter les détails de conformité de ce produit (

        Personne responsable dans l'UE

        )
        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