Vendor Profile
Shoeisha Co., Ltd.
| Address | 5 Funamachi Shinjuku-ku Tokyo, JAPAN ZIP:160-0006 |
|---|---|
| Representative Name | Kaoru Usui |
| Annual Revenue | closed |
| No. of Employees | 185 |
| Web Site URL |
SD item code:12829397
| Detail | Price & Quantity | ||
|---|---|---|---|
| S1 |
Yukinaga Wagatsuma (Author)
 Original text before translation
我妻 幸長 (著)
(186090)
JAN:9784798186092
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(186090)
JAN:9784798186092
Wholesale Price: Members Only
1 pc /set
In Stock
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| Shipping Date |
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About 1 week
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| Dimensions |
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Format:A5
Number of pages:488 |
| Specifications |
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Country of manufacture: Japan
Material / component: Format:Book (paper)
Year of manufacture: 2024
Product tag: None
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Description
| Long-awaited 2nd edition! The classic AI development platform for Learn the basics of machine learning, deep learning, reinforcement learning, and transition learning Reinforcement Learning, and Transition Learning This book is based on the popular Udemy course [AI Perfect Master Course - Google Colaboratory]. This book is based on the very popular Udemy course [AI Perfect Master Course - Practical Artificial Intelligence/Machine Learning Learned in Every Detail at Google Colaboratory]. *Machine learning (regression, k-means, support vector machine) *Deep learning (image identification and image generation, RNN) *Reinforcement learning (Cart Pole problem, deep reinforcement learning) The course will explain the artificial intelligence techniques required for AI development, such as the following You will be able to understand how AI technologies work by running samples. Google Colaboratory will be used for the development environment. [What is Google Colaboratory?] It is a development environment for machine learning and deep learning that can be used on a browser. You can use GPUs free of charge, so you can greatly reduce the execution time of your code. [Points of this book] *Learn the fundamentals of machine learning *deep learning *reinforcement learning all at once. *Learn the theory of machine learning*deep learning*reinforcement learning while running code in Python [Changes in the second edition] *Updated Google Colaboratory environment (as of August 2024) *Various library updates *Change in dataset (housing data) [Target Audience] *Experienced programmers of any kind. *Machine learning *Deep learning *Reinforcement learning *Knowledge of mathematics beyond high school math. |
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| Shipping Method | Estimated Arrival |
|---|---|
| Sea Mail | From Oct.12th 2026 to Dec.14th 2026 |
| Air Mail | From Sep.24th 2026 to Sep.28th 2026 |
| EMS | From Sep.23rd 2026 to Sep.28th 2026 |
| Pantos Express | From Sep.25th 2026 to Sep.30th 2026 |
| DHL | From Sep.23rd 2026 to Sep.25th 2026 |
| UPS | From Sep.23rd 2026 to Sep.25th 2026 |
| FedEx | From Sep.23rd 2026 to Sep.25th 2026 |
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Some trading conditions may be applicable only in Japan.
This product (book) is subject to the Resale Price Maintenance Program. The law allows the manufacturer (publisher) to specify the sales price. We ask that your company also adhere to the resale price specified by us. In the unlikely event that you fail to do so, we may terminate the transaction. Thank you very much for your understanding and cooperation.
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Other items from this category:
The classic AI development platform for
Learn the basics of machine learning, deep learning, reinforcement learning, and transition learning
Reinforcement Learning, and Transition Learning
This book is based on the popular Udemy course [AI Perfect Master Course - Google Colaboratory].
This book is based on the very popular Udemy course [AI Perfect Master Course - Practical Artificial Intelligence/Machine Learning Learned in Every Detail at Google Colaboratory].
*Machine learning (regression, k-means, support vector machine)
*Deep learning (image identification and image generation, RNN)
*Reinforcement learning (Cart Pole problem, deep reinforcement learning)
The course will explain the artificial intelligence techniques required for AI development, such as the following
You will be able to understand how AI technologies work by running samples.
Google Colaboratory will be used for the development environment.
[What is Google Colaboratory?]
It is a development environment for machine learning and deep learning that can be used on a browser.
You can use GPUs free of charge, so you can greatly reduce the execution time of your code.
[Points of this book]
*Learn the fundamentals of machine learning *deep learning *reinforcement learning all at once.
*Learn the theory of machine learning*deep learning*reinforcement learning while running code in Python
[Changes in the second edition]
*Updated Google Colaboratory environment (as of August 2024)
*Various library updates
*Change in dataset (housing data)
[Target Audience]
*Experienced programmers of any kind.
*Machine learning *Deep learning *Reinforcement learning
*Knowledge of mathematics beyond high school math.