Computers & Internet
Machine Learning Meets Quantum Physics: 968 (Lecture Notes in Physics) | Paperback | Quantum Physics (Quantum Mechanics & Quantum Field Theory)
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Specifications
| publisher | Springer Nature Switzerland AG |
| isbn13 | 9783030402440 |
| isbn10 | 3030402444 |
| binding | paperback |
| language | english |
| edition | 1st ed. 2020 |
| pages | 467 |
| publication_date | 2020-06-04 |
Product Description
Here on GlowMirror, you'll find Machine Learning Meets Quantum Physics: 968 (Lecture Notes in Physics) | Paperback | Quantum Physics filed under Computers & Internet -- everything you need to know is covered below.
About this book
Machine Learning Meets Quantum Physics: 968 (Lecture Notes in Physics) published by Springer Nature Switzerland AG.
Related topics
generative models, kernel methods, material modeling, neural networks, gaussian regression, atomistic simulation, polymer genome, bayesian optimization.
Book Insights
What You'll Learn
- ·Fundamental and advanced concepts in Machine Learning Meets Quantum Physics: 968 (Lecture Notes in Physics) | Paperback | Quantum Physics
- ·Code examples, algorithms, and implementation patterns
- ·Best practices and industry-relevant skills
Who Should Read This
Software developers, IT professionals, computer science students, and tech enthusiasts.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
Frequently Asked Questions
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Is Machine Learning Meets Quantum Physics: 968 (Lecture Notes in Physics) | Paperback | Quantum Physics available in English?
Machine Learning Meets Quantum Physics: 968 (Lecture Notes in Physics) | Paperback | Quantum Physics is available in english on GlowMirror.
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Who published Machine Learning Meets Quantum Physics: 968 (Lecture Notes in Physics) | Paperback | Quantum Physics?
Machine Learning Meets Quantum Physics: 968 (Lecture Notes in Physics) | Paperback | Quantum Physics is published by Springer Nature Switzerland AG.
How many pages does Machine Learning Meets Quantum Physics: 968 (Lecture Notes in Physics) | Paperback | Quantum Physics have?
Machine Learning Meets Quantum Physics: 968 (Lecture Notes in Physics) | Paperback | Quantum Physics has 467 pages.
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At an average reading speed of 250 words per minute, reading Machine Learning Meets Quantum Physics: 968 (Lecture Notes in Physics) | Paperback | Quantum Physics takes approximately 12 hours.
What is Machine Learning Meets Quantum Physics: 968 (Lecture Notes in Physics) | Paperback | Quantum Physics about?
About this book
Machine Learning Meets Quantum Physics: 968 (Lecture Notes in Physics) published by Springer Nature Switzerland AG.
Related topics
generative models, kernel methods, material modeling, neural networks, gaussian regression, atomistic simulation, polymer genome, bayesian optimization.
Is Machine Learning Meets Quantum Physics: 968 (Lecture Notes in Physics) | Paperback | Quantum Physics suitable for beginners?
Whether Machine Learning Meets Quantum Physics: 968 (Lecture Notes in Physics) | Paperback | Quantum Physics is suitable for beginners depends on your background in Computers & Internet. Review the product description and specifications above for details on the target audience and difficulty level.
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Machine Learning Meets Quantum Physics: 968 (Lecture Notes in Physics) | Paperback | Quantum Physics is from the Springer Nature Switzerland AG edition/year. Check the specifications section for full edition details.
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