machine learning deep using de reddy konasani (16 resultados)

Condición: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

Condición: New. Brand New, Softcover edition. This item may ship from the US or our Overseas warehouse depending on your location and stock availability.

Soft cover. Condición: New. ISBN:9789354601415,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.

Paperback. Condición: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.

hardcover. Condición: 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).

Paperback. Condición: 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.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: 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.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: 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.

Buch. Condición: 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.

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

Paperback. Condición: 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.