Introduction to deep learning using R : a step-by-step guide to learning and implementing deep learning models using R

Zapisane w:

Opis bibliograficzny
1. autor:	Beysolow Taweh
Format:	Nieznany
Język:	angielski
Wydane:	Apress Publications 2022
Wydanie:	1st South Asian ed.
Hasła przedmiotowe:	Big data R (Computer program language) Machine learning Programming languages (Electronic computers) Computer science Electronic data processing Business
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!

Podobne zapisy

Machine Learning with R: Discover how to build Machine Learning Algorithms, prepare data, and dig deep into data prediction techniques with R
od: Lantz, Brett
Wydane: (2015)

Data analysis and visualization using Python: : analyze data to create visualizations for BI systems
od: Embarak Ossama
Wydane: (2021)

R GRAPHICS
od: MURRELL, PAUL
Wydane: (2011)

Statistical Analysis in Simple Steps using R
od: Pandya, Kiran
Wydane: (2018)

INTRODUCTORY STATISTICS WITH R
od: DALGAARD, PETER
Wydane: (2008)

R IN A NUTSHELL
od: ADLER, JOSEPH
Wydane: (2012)

Big Data Analytics: Introduction to Hadoop, Spark and Machine-Learning
od: Kamal Raj
Wydane: (2019)

DYNAMIC DOCUMENTS WITH R AND KNITR
od: XIE YIHUI
Wydane: (2015)

Beginning R
od: Gardener, Mark
Wydane: (2012)

Beginning R
od: Gardener, Mark
Wydane: (2012)

R for Data Science
od: Wickham, Hadley
Wydane: (2023)

R for Data Science: Import, Tidy, Transform, Visualize and Model Data
od: Wickham, Hadley
Wydane: (2018)

Statistics Using R
od: Purohit, Sudha G.
Wydane: (2018)

R Packages
od: Wickham, Hadley
Wydane: (2019)

Using R with Multivariate Statistics
od: Schumacker, Randall E.
Wydane: (2016)

HANDS ON PROGRAMMING WITH R
od: GROLEMUND GARRETT
Wydane: (2017)

Deep Learning with Python
od: Chollet, François
Wydane: (2018)

Deep Learning
od: Das, A K
Wydane: (2021)

Deep Learning
od: Das, A K
Wydane: (2021)

Deep Learning
od: Das, Amit K
Wydane: (2021)

Big Data and Handoop
od: Jain, V.K
Wydane: (2023)

R for Everyone : Advanced Analytics and Graphics
od: Lander Jared P.
Wydane: (2018)

Introduction to Machine Learning with R : Rigorous Mathematical Modeling
od: Burger Scott V.
Wydane: (2018)

Discovering Statistics Using R
od: Field, Andy
Wydane: (2023)

Big Data and Machine Learning in Quantitative Investment
od: Guida Tony
Wydane: (2019)

BEGINNING R : STATISTICAL PROGRAMMING LANGUAGE
od: GARDENER MARK
Wydane: (2017)

R Projects
od: Schmuller, Joseph
Wydane: (2018)

R Programming for Dummies
od: De Vries, Andrie
Wydane: (2015)

R in a Nutshell
od: Adler, Joseph
Wydane: (2012)

Applied Econometrics with R
od: Kleiber, Christian
Wydane: (2008)

Marketing Data Science : Modeling Techniques in Predictive Analytics with R and Python
od: Miller Thomas W.
Wydane: (2019)

Text Mining with R: A Tidy Approach
od: Silge, Julia
Wydane: (2019)

Discovering Statistics Using R
od: Field, Andy P.
Wydane: (2012)

Beginning data science in R : data analysis, visualization, and modelling for the data scientist
od: Mailund Thomas
Wydane: (2021)

Mastering RStudio - Develop, Communicate, and Collaborate with R: Harness the Power of RStudio to Create Web Applications, R Packages, Markdown Reports and Pretty Data Visualizations
od: Hillebrand, Julian
Wydane: (2015)

Introduction to Machine Learning with R: Rigorous Mathematical Analysis
od: Burger, Scott V.
Wydane: (2019)

Python for R Users
od: Ohri, Ajay
Wydane: (2018)

Beginning R: The Statistical Programming Language
od: Gardener, Mark
Wydane: (2018)

R for Business Analytics
od: Ohri, A.
Wydane: (2012)

R in A Nutshell
od: Adler, Joseph
Wydane: (2019)