Isbn: 9781260462296 - machine learning and deep learning using python and tensorflow (16 risultati)

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  • Lingua: Inglese

    Editore: McGraw Hill, 2021

    1260462293 / 9781260462296

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  • Lingua: Inglese

    Editore: McGraw Hill, 2021

    1260462293 / 9781260462296

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    hardcover. Condizione: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

  • Lingua: Inglese

    Editore: McGraw Hill, 2021

    1260462293 / 9781260462296

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    Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices

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  • Lingua: Inglese

    Editore: McGraw-Hill Education, OH, 2021

    1260462293 / 9781260462296

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    Paperback. Condizione: new. Paperback. Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Understand the principles and practices of machine learning and deep learning This hands-on guide lays out machine learning and deep learning techniques and technologies in a style that is approachable, using just the basic math required. Written by a pair of experts in the field, Machine Learning and Deep Learning Using Python and TensorFlow contains case studies in several industries, including banking, insurance, e-commerce, retail, and healthcare. The book shows how to utilize machine learning and deep learning functions in todays smart devices and apps. You will get download links for datasets, code, and sample projects referred to in the text.Coverage includes:Machine learning and deep learning conceptsPython programming and statistics fundamentalsRegression and logistic regressionDecision treesModel selection and cross-validationCluster analysisRandom forests and boostingArtificial neural networksTensorFlow and KerasDeep learning hyperparametersConvolutional neural networksRecurrent neural networks and long short-term memory Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Lingua: Inglese

    Editore: McGraw Hill, 2021

    1260462293 / 9781260462296

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    Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices

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  • Lingua: Inglese

    Editore: McGraw Hill, 2021

    1260462293 / 9781260462296

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    Da: California Books, Miami, FL, U.S.A.California Books

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  • Lingua: Inglese

    Editore: McGraw-Hill Education, OH, 2021

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    Paperback. Condizione: new. Paperback. Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Understand the principles and practices of machine learning and deep learning This hands-on guide lays out machine learning and deep learning techniques and technologies in a style that is approachable, using just the basic math required. Written by a pair of experts in the field, Machine Learning and Deep Learning Using Python and TensorFlow contains case studies in several industries, including banking, insurance, e-commerce, retail, and healthcare. The book shows how to utilize machine learning and deep learning functions in todays smart devices and apps. You will get download links for datasets, code, and sample projects referred to in the text.Coverage includes:Machine learning and deep learning conceptsPython programming and statistics fundamentalsRegression and logistic regressionDecision treesModel selection and cross-validationCluster analysisRandom forests and boostingArtificial neural networksTensorFlow and KerasDeep learning hyperparametersConvolutional neural networksRecurrent neural networks and long short-term memory Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

  • Lingua: Inglese

    Editore: McGraw Hill, 2021

    1260462293 / 9781260462296

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    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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    EUR 147,03

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    Condizione: As New. Unread book in perfect condition.

  • Lingua: Inglese

    Editore: McGraw Hill, 2021

    1260462293 / 9781260462296

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    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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  • Lingua: Inglese

    Editore: McGraw Hill, 2021

    1260462293 / 9781260462296

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    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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    Condizione: Usato - Buono

    EUR 156,82

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    Quantità: 5 disponibili

    Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.

  • Lingua: Inglese

    Editore: McGraw-Hill Education, 2021

    1260462293 / 9781260462296

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    Condizione: New. &Uumlber den AutorVenkata Reddy Konasani is a data scientist and corporate trainer with experience in credit risk modeling, market response model building, social media analytics, and machine learning and deep learni.

  • Lingua: Inglese

    Editore: The McGraw-Hill Company, 2021

    1260462293 / 9781260462296

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  • Lingua: Inglese

    Editore: The McGraw-Hill Company, 2021

    1260462293 / 9781260462296

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  • Lingua: Inglese

    Editore: Mcgraw Hill LLC Feb 2021, 2021

    1260462293 / 9781260462296

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    Buch. Condizione: Neu. Neuware - Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Understand the principles and practices of machine learning and deep learning This hands-on guide lays out machine learning and deep learning techniques and technologies in a style that is approachable, using just the basic math required. Written by a pair of experts in the field, Machine Learning and Deep Learning Using Python and TensorFlow contains case studies in several industries, including banking, insurance, e-commerce, retail, and healthcare. The book shows how to utilize machine learning and deep learning functions in today's smart devices and apps. You will get download links for datasets, code, and sample projects referred to in the text.Coverage includes:- Machine learning and deep learning concepts- Python programming and statistics fundamentals- Regression and logistic regression- Decision trees- Model selection and cross-validation- Cluster analysis- Random forests and boosting- Artificial neural networks- TensorFlow and Keras- Deep learning hyperparameters- Convolutional neural networks- Recurrent neural networks and long short-term memory.

  • Lingua: Inglese

    Editore: McGraw-Hill Education, 2021

    1260462293 / 9781260462296

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    Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

  • Lingua: Inglese

    Editore: McGraw-Hill Education, OH, 2021

    1260462293 / 9781260462296

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    Paperback. Condizione: new. Paperback. Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Understand the principles and practices of machine learning and deep learning This hands-on guide lays out machine learning and deep learning techniques and technologies in a style that is approachable, using just the basic math required. Written by a pair of experts in the field, Machine Learning and Deep Learning Using Python and TensorFlow contains case studies in several industries, including banking, insurance, e-commerce, retail, and healthcare. The book shows how to utilize machine learning and deep learning functions in todays smart devices and apps. You will get download links for datasets, code, and sample projects referred to in the text.Coverage includes:Machine learning and deep learning conceptsPython programming and statistics fundamentalsRegression and logistic regressionDecision treesModel selection and cross-validationCluster analysisRandom forests and boostingArtificial neural networksTensorFlow and KerasDeep learning hyperparametersConvolutional neural networksRecurrent neural networks and long short-term memory This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.