Ramasubramanian, Karthik
Machine Learning Using R
1. Introduction to Machine Learning and R
Karthik Ramasubramanian, Abhishek Singh
2. Data Preparation and Exploration
Karthik Ramasubramanian, Abhishek Singh
3. Sampling and Resampling Techniques
Karthik Ramasubramanian, Abhishek Singh
4. Data Visualization in R
Karthik Ramasubramanian, Abhishek Singh
5. Feature Engineering
Karthik Ramasubramanian, Abhishek Singh
6. Machine Learning Theory and Practices
Karthik Ramasubramanian, Abhishek Singh
7. Machine Learning Model Evaluation
Karthik Ramasubramanian, Abhishek Singh
8. Model Performance Improvement
Karthik Ramasubramanian, Abhishek Singh
9. Scalable Machine Learning and Related Technologies
Karthik Ramasubramanian, Abhishek Singh
Avainsanat: Computer Science, Computing Methodologies, Programming Techniques, Programming Languages, Compilers, Interpreters, Database Management
- Tekijä(t)
- Ramasubramanian, Karthik
- Singh, Abhishek
- Julkaisija
- Springer
- Julkaisuvuosi
- 2017
- Kieli
- en
- Painos
- 1
- Sivumäärä
- 23 sivua
- Kategoria
- Tietotekniikka, tietoliikenne
- Tiedostomuoto
- E-kirja
- eISBN (PDF)
- 9781484223345
- Painetun ISBN
- 978-1-4842-2333-8