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Intertidal Macrofauna of Subarnarekha Estuary (Balasore, Orissa)
Published by Zoological Survey of India, 2010
ISBN 10: 8181712595 ISBN 13: 9788181712592
Language: English
Condition: New. pp. 135 Illus. (Chiefly Col.), Map.
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Paperback. Condition: 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.
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Paperback. Condition: Very Good. Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
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Condition: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.
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Intertidal Macrofauna of Subarnarekha Estuary (Balasore, Orissa)
Published by Zoological Survey of India, 2010
ISBN 10: 8181712595 ISBN 13: 9788181712592
Language: English
£ 11.92
Convert currency£ 6.88 shipping from Germany to United KingdomQuantity: 4 available
Add to basketCondition: New. pp. 135.
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Records of the Zoological Survey of India : Intertidal Macrofauna of Subarnarekha Estuary Balasore : Orissa: Occasional Paper No. 313
Published by Zoological Survey of India 2010, pbk, 2010
ISBN 10: 8181712595 ISBN 13: 9788181712592
Language: English
£ 3.86
Convert currency£ 19.03 shipping from India to United KingdomQuantity: 1 available
Add to basket23 col. plates, 1 col. fig, 1 b/w fig, tables (illustrator). Contents Introduction Topography Materials and methods Table 1 List of the Intertidal Macrofauna Description of species 1 Phylum Cnidaria 2 Phylum Annelida 3 Phylum Brachiopoda 4 Phylum Arthropoda 5 Phylum Mollusca 6 Phylum Sipancula 7 Phylum Echiura 8 Phylum Echinodermata 9 Phylum Chordata 10 Class Reptilia Results and Discussion Threats and Conservation Acknowledgements References Appendix Birds of Subarnarekha Estuary and Adjoining Area 136 pp.
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Intertidal Macrofauna of Subarnarekha Estuary (Balasore, Orissa)
Published by Zoological Survey of India ZSI, 2010
ISBN 10: 8181712595 ISBN 13: 9788181712592
Language: English
£ 19.05
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Add to basketCondition: New. pp. 135, Map.
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£ 18.03
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Add to basketPaperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.65.
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£ 18.03
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Add to basketPaperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.65.
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£ 26.47
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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£ 26.47
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Intelligent Projects Using Python
Published by Packt Publishing 2019-01, 2019
ISBN 10: 1788996925 ISBN 13: 9781788996921
Language: English
PF. Condition: New.
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Intelligent Projects Using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Quantum Machine Learning With Python : Using Cirq from Google Research and IBM Qiskit
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£ 31.90
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Add to basketPaperback or Softback. Condition: New. Quantum Machine Learning with Python: Using Cirq from Google Research and IBM Qiskit 1.6. Book.
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Pro Deep Learning With Tensorflow 2.0 2nd ed.
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Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Quantum Machine Learning With Python : Using Cirq from Google Research and IBM Qiskit
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Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python
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Quantum Machine Learning with Python
First Edition
£ 41.75
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Add to basketPaperback. Condition: New. 1st ed. Quickly scale up to Quantum computing and Quantum machine learning foundations and related mathematics and expose them to different use cases that can be solved through Quantum based algorithms.This book explains Quantum Computing, which leverages the Quantum mechanical properties sub-atomic particles. It also examines Quantum machine learning, which can help solve some of the most challenging problems in forecasting, financial modeling, genomics, cybersecurity, supply chain logistics, cryptography among others.You'll start by reviewing the fundamental concepts of Quantum Computing, such as Dirac Notations, Qubits, and Bell state, followed by postulates and mathematical foundations of Quantum Computing. Once the foundation base is set, you'll delve deep into Quantum based algorithms including Quantum Fourier transform, phase estimation, and HHL (Harrow-Hassidim-Lloyd) among others. You'll then be introduced to Quantum machine learning and Quantum deep learning-based algorithms, along with advanced topics of Quantum adiabatic processes and Quantum based optimization. Throughout the book, there are Python implementations of different Quantum machine learning and Quantum computing algorithms using the Qiskit toolkit from IBM and Cirq from Google Research.What You'll LearnUnderstand Quantum computing and Quantum machine learningExplore varied domains and the scenarios where Quantum machine learning solutions can be appliedDevelop expertise in algorithm development in varied Quantum computing frameworksReview the major challenges of building large scale Quantum computers and applying its various techniquesWho This Book Is ForMachine Learning enthusiasts and engineers who want to quickly scale up to Quantum Machine Learning.
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£ 35.48
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Intelligent Projects Using Python (Paperback or Softback)
Published by Packt Publishing 1/31/2019, 2019
ISBN 10: 1788996925 ISBN 13: 9781788996921
Language: English
£ 37.42
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Add to basketPaperback or Softback. Condition: New. Intelligent Projects Using Python 1.3. Book.
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Add to basketPaperback or Softback. Condition: New. Pro Deep Learning with Tensorflow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python 2.53. Book.
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Pro Deep Learning With Tensorflow 2.0 2nd ed.
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Quantum Machine Learning with Python: Using Cirq from Google Research and IBM Qiskit
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 45.62
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Quantum Machine Learning with Python
First Edition
£ 46.08
Convert currencyFree shipping within United KingdomQuantity: Over 20 available
Add to basketPaperback. Condition: New. 1st ed. Quickly scale up to Quantum computing and Quantum machine learning foundations and related mathematics and expose them to different use cases that can be solved through Quantum based algorithms.This book explains Quantum Computing, which leverages the Quantum mechanical properties sub-atomic particles. It also examines Quantum machine learning, which can help solve some of the most challenging problems in forecasting, financial modeling, genomics, cybersecurity, supply chain logistics, cryptography among others.You'll start by reviewing the fundamental concepts of Quantum Computing, such as Dirac Notations, Qubits, and Bell state, followed by postulates and mathematical foundations of Quantum Computing. Once the foundation base is set, you'll delve deep into Quantum based algorithms including Quantum Fourier transform, phase estimation, and HHL (Harrow-Hassidim-Lloyd) among others. You'll then be introduced to Quantum machine learning and Quantum deep learning-based algorithms, along with advanced topics of Quantum adiabatic processes and Quantum based optimization. Throughout the book, there are Python implementations of different Quantum machine learning and Quantum computing algorithms using the Qiskit toolkit from IBM and Cirq from Google Research.What You'll LearnUnderstand Quantum computing and Quantum machine learningExplore varied domains and the scenarios where Quantum machine learning solutions can be appliedDevelop expertise in algorithm development in varied Quantum computing frameworksReview the major challenges of building large scale Quantum computers and applying its various techniquesWho This Book Is ForMachine Learning enthusiasts and engineers who want to quickly scale up to Quantum Machine Learning.
