Machine Learning Signal Processing (534 results)

- Softcover
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- Hardcover
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Coefficient of Variation and Machine Learning Applications (Intelligent Signal Processing and Data Analysis)
K. Hima Bindu, Raghava Morusupalli, Nilanjan Dey, C. Raghavendra Rao
Language: English
Published by CRC Press 2021-06-30, 2021
Series: Intelligent Signal Processing and Data Analysis, Book 5 of 12. Book 5 of 12 - Intelligent Signal Processing and Data Analysis
- Softcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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Coefficient of Variation and Machine Learning Applications (Intelligent Signal Processing and Data Analysis)
Hima Bindu, K.; Morusupalli, Raghava; Dey, Nilanjan; Rao, C. Raghavendra
Language: English
Published by CRC Press, 2021
Series: Intelligent Signal Processing and Data Analysis, Book 5 of 12. Book 5 of 12 - Intelligent Signal Processing and Data Analysis
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Softcover
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.World of Books (was SecondSale)
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- Softcover
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Paperback. Condition: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

- Softcover
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- Hardcover
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- Hardcover
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- Softcover
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Machine Learning Methods for Signal, Image and Speech Processing
Jabbar, M. A.; Kantipudi, M. V. V. Prasad; Peng, Sheng-lung; Reaz, Mamun Bin Ibne; Madureira, Ana Maria
- Softcover
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Machine Learning Methods for Signal, Image and Speech Processing
Jabbar, M.A.; Kantipudi, MVV Prasad; Peng, Sheng-Lung; Reaz, Mamun Bin Ibne; Madureira, Ana Maria
- Softcover
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- Softcover
Seller: Phatpocket Limited, Waltham Abbey, HERTS, United KingdomPhatpocket Limited
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Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

Machine Learning Methods for Signal, Image and Speech Processing
Jabbar, M.A.; Kantipudi, MVV Prasad; Peng, Sheng-Lung; Reaz, Mamun Bin Ibne; Madureira, Ana Maria
- Softcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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- Hardcover
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- Softcover
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Machine Learning Methods for Signal, Image and Speech Processing
Jabbar, M. A.; Kantipudi, M. V. V. Prasad; Peng, Sheng-lung; Reaz, Mamun Bin Ibne; Madureira, Ana Maria
- Softcover
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- Softcover
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Machine Learning in Signal Processing : Applications, Challenges and the Road Ahead
Tanwar, Sudeep (EDT); Nayyar, Anand (EDT); Rameshwar, Rudra (EDT)
- Softcover
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- Hardcover
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- Hardcover
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Machine Learning Methods for Signal, Image and Speech Processing
Jabbar, M.A.; Kantipudi, MVV Prasad; Peng, Sheng-Lung; Reaz, Mamun Bin Ibne; Madureira, Ana Maria
- Softcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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- Hardcover
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Signal Processing and Machine Learning With Applications
Richter, Michael M.; Sheuli, Paul; Këpuska, Veton; Silaghi, Marius
- Hardcover
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- Softcover
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Paperback. Condition: new. Paperback. This book describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Taking a gradual approach, it builds up concepts…in a solid, step-by-step fashion so that the ideas and algorithms can be implemented in practical software applications.Digital signal processing (DSP) isone of the 'foundational' engineering topics of the modern world, without which technologies such the mobile phone, television, CD and MP3 players, WiFi and radar, would not be possible. A relativenewcomer by comparison, statistical machine learning is the theoretical backbone of exciting technologies such as automatic techniques for car registration plate recognition, speech recognition, stock market prediction, defect detection on assembly lines, robot guidance, and autonomous car navigation. Statistical machine learning exploits the analogy between intelligent information processing in biological brains and sophisticated statistical modelling and inference.DSPand statistical machine learning are of such wide importance to the knowledge economy that both have undergone rapid changes and seen radical improvements in scope and applicability. Both make use of keytopics in applied mathematics such as probability and statistics, algebra, calculus, graphs and networks. Intimate formal links between the two subjects exist and because of this many overlaps exist between the two subjects that can be exploited to produce new DSP tools of surprising utility, highly suited to the contemporary world of pervasive digital sensors and high-powered, yet cheap, computing hardware. This book gives a solid mathematical foundation to, and details the key concepts andalgorithms in this important topic. Describes the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Builds up concepts gradually so that the ideas and algorithms can be implemented in practical software applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

- Hardcover
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