Target New ArrivalsGift Ideas for DadClothing, Shoes & AccessoriesHome & DecorKitchen & DiningOutdoor Living & GardenGroceryHousehold EssentialsBabyBeautyPersonal CareSports & OutdoorsHealthWellnessLuggageSchool & Office SuppliesToysElectronicsVideo GamesMovies, Music & BooksParty SuppliesGift IdeasGift CardsPetsUlta Beauty at TargetShop by CommunityTarget OpticalDealsClearanceNew ArrivalsGift Ideas for DadBack to SchoolCollegeTop DealsTarget Circle DealsWeekly AdShop Order PickupShop Same Day DeliveryRegistryRedCardTarget CircleFind Stores
Artificial Intelligence, Machine Learning, and Deep Learning - by  Oswald Campesato (Paperback) - 1 of 1

Artificial Intelligence, Machine Learning, and Deep Learning - by Oswald Campesato (Paperback)

$49.28Save $17.71 (26% off)

In Stock

Free & easy returns

Free & easy returns

Return this item by mail or in store within 90 days for a full refund.
Eligible for registries and wish lists

About this item

Highlights

  • No detailed description available for "Artificial Intelligence, Machine Learning, and Deep Learning".
  • About the Author: Campesato Oswald: Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP.
  • 300 Pages
  • Computers + Internet, Human-Computer Interaction (HCI)

Description



About the Book



This book begins with an introduction to AI, followed by machine learning, deep learning, NLP, and reinforcement learning. Readers will learn about machine learning classifiers such as logistic regression, k-NN, decision trees, random forests, and SVMs. Next, the book covers deep learning architectures such as CNNs, RNNs, LSTMs, and auto encoders.



Book Synopsis



No detailed description available for "Artificial Intelligence, Machine Learning, and Deep Learning".



About the Author



Campesato Oswald:

Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).

Dimensions (Overall): 8.9 Inches (H) x 6.9 Inches (W) x .8 Inches (D)
Weight: 1.15 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 300
Genre: Computers + Internet
Sub-Genre: Human-Computer Interaction (HCI)
Publisher: Mercury Learning and Information
Format: Paperback
Author: Oswald Campesato
Language: English
Street Date: February 27, 2020
TCIN: 1005414034
UPC: 9781683924678
Item Number (DPCI): 247-33-0237
Origin: Made in the USA or Imported
If the item details aren’t accurate or complete, we want to know about it.

Shipping details

Estimated ship dimensions: 0.8 inches length x 6.9 inches width x 8.9 inches height
Estimated ship weight: 1.15 pounds
We regret that this item cannot be shipped to PO Boxes.
This item cannot be shipped to the following locations: American Samoa (see also separate entry under AS), Guam (see also separate entry under GU), Northern Mariana Islands, Puerto Rico (see also separate entry under PR), United States Minor Outlying Islands, Virgin Islands, U.S., APO/FPO, Alaska, Hawaii

Return details

This item can be returned to any Target store or Target.com.
This item must be returned within 90 days of the date it was purchased in store, delivered to the guest, delivered by a Shipt shopper, or picked up by the guest.
See the return policy for complete information.

Q: What topics are covered in this book?

submitted by AI Shopping Assistant - 3 days ago
  • A: The book covers AI, machine learning, deep learning, NLP, and reinforcement learning.

    submitted byAI Shopping Assistant - 3 days ago
    Ai generated

Q: What types of machine learning classifiers are discussed?

submitted by AI Shopping Assistant - 3 days ago
  • A: The book discusses classifiers like logistic regression, k-NN, decision trees, random forests, and SVMs.

    submitted byAI Shopping Assistant - 3 days ago
    Ai generated

Q: Who is the author of this book?

submitted by AI Shopping Assistant - 3 days ago
  • A: The author is Oswald Campesato, an adjunct instructor specializing in deep learning and related technologies.

    submitted byAI Shopping Assistant - 3 days ago
    Ai generated

Q: What deep learning architectures are included in the content?

submitted by AI Shopping Assistant - 3 days ago
  • A: It includes CNNs, RNNs, LSTMs, and auto encoders among deep learning architectures.

    submitted byAI Shopping Assistant - 3 days ago
    Ai generated

Q: What is the primary audience for this book?

submitted by AI Shopping Assistant - 3 days ago
  • A: The book is suggested for readers aged 22 years and up, likely targeting students and professionals.

    submitted byAI Shopping Assistant - 3 days ago
    Ai generated

Additional product information and recommendations

Discover more options

Frequently bought together

Get top deals, latest trends, and more.

Privacy policy