Könyv Machine Learning Using R Karthik Ramasubramanian

Machine Learning Using R

Nyelv: Angol
Kötés: Puha kötésű
Kiadó: APress
Elérhetőség: Beszállítói készleten
Küldés 9-15 napon belül
19 881 Ft
Examine the latest technological advancements in building a scalable machine-learning model with big...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2018
oldal
700
EAN
9781484242148
ISBN
9781484242148
Enbook ID
20331522
Kiadó
Súly
1344
Méretek
186 x 266 x 44

Teljes leírás

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.

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