Opening book details…
Can I read Machine Learning: Master Supervised and Unsupervised Learning Algorithms with Real Examples on EtoBox?
Machine Learning: Master Supervised and Unsupervised Learning Algorithms with Real Examples by Dr Ruchi Doshi, Dr Kamal Kant Hiran, Ritesh Kumar Jain, Dr Kamlesh Lakhwani is a computer science book available to read on EtoBox.
What is Machine Learning: Master Supervised and Unsupervised Learning Algorithms with Real Examples about?
<p>Concepts of Machine Learning with Practical Approaches.</p><p> </p><p>KEY FEATURES </p><p>● Includes real-scenario examples to explain the working of Machine Learning algorithms.</p><p>● Includes graphical and statistical representation to simplify modeling Machine Learning and Neural Networks.</p><p>● Full of Python codes, numerous exercises, and model question papers for data science students. </p><p> </p><p>DESCRIPTION </p><p>The book offers the readers the fundamental concepts of Machine
Who reads Machine Learning: Master Supervised and Unsupervised Learning Algorithms with Real Examples?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Dr Ruchi Doshi, Dr Kamal Kant Hiran, Ritesh Kumar Jain, Dr Kamlesh Lakhwani
- Publisher
- BPB Publications
- Published
- 2021
- Language
- EN
- ISBN
- 9789391392352
- Category
- computer science
- Subjects
- Technology, Language Learning, Information Technology
- Rating
- 4 / 5 (1 ratings)
- Updated
- 2026-03-25
More by Dr Ruchi Doshi, Dr Kamal Kant Hiran, Ritesh Kumar Jain, Dr Kamlesh Lakhwani
Browse all works by Dr Ruchi Doshi, Dr Kamal Kant Hiran, Ritesh Kumar Jain, Dr Kamlesh Lakhwani
Similar books
- HANDS-ON SUPERVISED LEARNING WITH PYTHON : Learn How to Solve Machine Learning Problems With... Supervised Learning Algorithms Using Python — Gnana Lakshmi T C, Madeleine Shang (2021)
- Statistics for Machine Learning: Techniques for Exploring Supervised, Unsupervised, and Reinforcement Learning Models with Python and R — Pratap Dangeti (2017)
- Machine Learning For Absolute Beginners a Step by Step guide Algorithms For Supervised and Unsupervised Learning With Real World Applications — Raymond Kazuya (2017)
- R Machine Learning Projects : Implement Supervised, Unsupervised, and Reinforcement Learning Techniques Using R 3.5 — Dr. Sunil Kumar Chinnamgari (2019)
- Machine Learning For Absolute Beginners a Step by Step guide Algorithms For Supervised and Unsupervised Learning With Real World Applications — William Sullivan (2017)
- Machine Learning: Fundamental Algorithms for Supervised and Unsupervised Learning With Real-World Applications (Advanced Data Analytics Book 1) — Joshua Chapmann