Opening book details…
Can I read Practical Simulations for Machine Learning (5th Early Release) on EtoBox?
Practical Simulations for Machine Learning (5th Early Release) by Paris Buttfield-Addison & Jon Manning & Mars Buttfield-Addison & Tim Nugent is a computer science book available to read on EtoBox.
What is Practical Simulations for Machine Learning (5th Early Release) about?
Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artificial data using simulations to train traditional machine learning models.That's just the beginning. With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning an
Who reads Practical Simulations for Machine Learning (5th Early Release)?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Paris Buttfield-Addison & Jon Manning & Mars Buttfield-Addison & Tim Nugent
- Publisher
- O'Reilly Media, Incorporated
- Published
- 2022
- Language
- EN
- ISBN
- 9781492089872
- Category
- computer science
- Subjects
- Computer Science, Computers, Artificial Intelligence (Ai)
- Updated
- 2026-03-25
Other editions & translations
More by Paris Buttfield-Addison & Jon Manning & Mars Buttfield-Addison & Tim Nugent
Browse all works by Paris Buttfield-Addison & Jon Manning & Mars Buttfield-Addison & Tim Nugent
Similar books
- Practical Simulations for Machine Learning Using Synthetic Data for Ai — Buttfield-Addison, Paris (2022)
- Learning Ray, 5th Early Release — Max Pumperla, Edward Oakes, Richard Liaw (2022)
- Reliable Machine Learning (Seventh Early Release) — Cathy Chen & Niall Richard Murphy & Kranti Parisa & D. Sculley & Todd Underwood (2022)
- Machine Learning for High-Risk Applications (9th Early Release) — Patrick Hall & James Curtis & Parul Pandey (2022)
- Scaling Machine Learning with Spark (Third Early Release) — Adi Polak (2022)
- Training Data for Machine Learning (Third Early Release) — Anthony Sarkis (2022)