probability companion engineering computer di prügel bennett adam (32 risultati)

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: New. pp. 470.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New. pp. 470.

Paperback. Condizione: new. Paperback. This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overview for students. This guide helps undergraduate and graduate students convert pure mathematics into understanding and facility with a host of probabilistic tools. From the basic rules of probability it expands to the most sophisticated modern techniques, equipping those starting their careers and providing a handy reference for professionals and researchers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New. pp. 470.

Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 1080.

Paperback. Condizione: Brand New. 457 pages. 9.75x7.00x1.00 inches. In Stock.

hardcover. Condizione: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Paperback. Condizione: new. Paperback. This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overview for students. This guide helps undergraduate and graduate students convert pure mathematics into understanding and facility with a host of probabilistic tools. From the basic rules of probability it expands to the most sophisticated modern techniques, equipping those starting their careers and providing a handy reference for professionals and researchers. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: Brand New. 457 pages. 9.75x7.00x1.00 inches. In Stock.

Condizione: New. This guide helps undergraduate and graduate students convert pure mathematics into understanding and facility with a host of probabilistic tools. From the basic rules of probability it expands to the most sophisticated modern techniques, equipping those sta.

Condizione: New.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condizione: new. Paperback. This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overview for students. This guide helps undergraduate and graduate students convert pure mathematics into understanding and facility with a host of probabilistic tools. From the basic rules of probability it expands to the most sophisticated modern techniques, equipping those starting their careers and providing a handy reference for professionals and researchers. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condizione: New.

Hardcover. Condizione: new. Hardcover. This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overview for students. This guide helps undergraduate and graduate students convert pure mathematics into understanding and facility with a host of probabilistic tools. From the basic rules of probability it expands to the most sophisticated modern techniques, equipping those starting their careers and providing a handy reference for professionals and researchers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In.

Taschenbuch. Condizione: Neu. Neuware - Using examples and building intuition, this friendly guide helps readers understand and use probabilistic tools from basic to sophisticated.

Hardback. Condizione: New. New copy - Usually dispatched within 4 working days. 1218.

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: new. Hardcover. This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overview for students. This guide helps undergraduate and graduate students convert pure mathematics into understanding and facility with a host of probabilistic tools. From the basic rules of probability it expands to the most sophisticated modern techniques, equipping those starting their careers and providing a handy reference for professionals and researchers. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condizione: new. Hardcover. This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overview for students. This guide helps undergraduate and graduate students convert pure mathematics into understanding and facility with a host of probabilistic tools. From the basic rules of probability it expands to the most sophisticated modern techniques, equipping those starting their careers and providing a handy reference for professionals and researchers. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condizione: Brand New. 457 pages. 10.50x7.25x1.00 inches. In Stock.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Using examples and building intuition, this friendly guide helps readers understand and use probabilistic tools from basic to sophisticated.