000			01846nam a22002297a 4500
999			_c3881 _d3881
005			20221220120553.0
008			221122b ||||| |||| 00| 0 eng d
020			_a9781484247624
082			_a006.31 _bRAM
100			_aRamasubramanian, Karthik _99102
245			_aMachine learning using R: _bwith time series and industry-based use cases in R
250			_a2nd
260			_bApress  _aNew York _c2021
300			_axxiv, 700 p.
365			_aINR _b1999.00
520			_aAbout this book Examine the latest technological advancements in building a scalable machine learning model with Big Data using R. This book shows you how to work with a machine learning algorithm and use it to build a ML model from raw data. All practical demonstrations will be explored in R, a powerful programming language and software environment for statistical computing and graphics. The various packages and methods available in R will be used to explain the topics. For every machine learning algorithm covered in this book, a 3-D approach of theory, case-study and practice will be given. And where appropriate, the mathematics will be explained through visualization in R. All the images are available in color and hi-res as part of the code download. This new paradigm of teaching machine learning will bring about a radical change in perception for many of those who think this subject is difficult to learn. Though theory sometimes looks difficult, especially when there is heavy mathematics involved, the seamless flow from the theoretical aspects to example-driven learning provided in this book makes it easy for someone to connect the dots.
650			_aMachine learning _92343
650			_aR (Computer program language) _91512
650			_aArtificial intelligence _91478
650			_aInformation visualization _91583
942			_2ddc _cBK