- We will send in 10–14 business days.
/images/books/12350886/9781839694844.jpg)
- Publisher: IntechOpen
- ISBN-10: 183969484X
- ISBN-13: 9781839694844
- Format: 17 x 24.4 x 1 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Machine Learning (e-book) (used book) | bookbook.eu
Reviews
Description
Recent times are witnessing rapid development in machine learning algorithm systems, especially in reinforcement learning, natural language processing, computer and robot vision, image processing, speech, and emotional processing and understanding. In tune with the increasing importance and relevance of machine learning models, algorithms, and their applications, and with the emergence of more innovative uses-cases of deep learning and artificial intelligence, the current volume presents a few innovative research works and their applications in real-world, such as stock trading, medical and healthcare systems, and software automation. The chapters in the book illustrate how machine learning and deep learning algorithms and models are designed, optimized, and deployed. The volume will be useful for advanced graduate and doctoral students, researchers, faculty members of universities, practicing data scientists and data engineers, professionals, and consultants working on the broad areas of machine learning, deep learning, and artificial intelligence.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 16d.19:06:40
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Publisher: IntechOpen
- ISBN-10: 183969484X
- ISBN-13: 9781839694844
- Format: 17 x 24.4 x 1 cm, hardcover
- Language: English English
Recent times are witnessing rapid development in machine learning algorithm systems, especially in reinforcement learning, natural language processing, computer and robot vision, image processing, speech, and emotional processing and understanding. In tune with the increasing importance and relevance of machine learning models, algorithms, and their applications, and with the emergence of more innovative uses-cases of deep learning and artificial intelligence, the current volume presents a few innovative research works and their applications in real-world, such as stock trading, medical and healthcare systems, and software automation. The chapters in the book illustrate how machine learning and deep learning algorithms and models are designed, optimized, and deployed. The volume will be useful for advanced graduate and doctoral students, researchers, faculty members of universities, practicing data scientists and data engineers, professionals, and consultants working on the broad areas of machine learning, deep learning, and artificial intelligence.
Reviews