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Stavka #:
253137903
Machine Learning: Machine Learning: A Comprehensive, Step-by-Step Guide to Intermediate Concepts and Techniques in Machine Learning (Paperback)
Stavka #:
253137903
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Detalji o proizvodu
- Do you want to impress the processes that you are working on?Do you want to make your machines more intelligent?If your answer to any of those questions is yes, then you have come to the right place.This book is a sequel to the book titled 'Machine Learning: A Step-by-Step guide.' In the first book, you gathered information on what machine learning is, and the different algorithms that one needs to know. This book is written for those who have a basic understanding of what machine learning is.In this book, you will gather information on: Practical examples of machine learningHow to build a machine learning algorithm in PythonAn introduction to deep learning and neural networksHow to create a neural network in Python using KerasAnd much moreThe book breaks the process of building a machine-learning model in Python into simple steps. These steps will help you build your very own machine-learning model from scratch. You should first build the model using the programs and scripts given in the book before you build your model from scratch. If you want to learn more about what you can do with machine learning, then this is the perfect book for you.What are you waiting for ? Click the Buy Now button to get started today!
| Book format | Paperback |
| Pages | 90 |
| Language | English |
| Brand | Peter Bradley |
| Author | Peter Bradley |
| Subgenre | Computers |
| Genre | Nonfiction |
| Bisac subject heading | Computers |
| Series title | Machine Learning |
| Number in series | 2 |
| Dimensions | 6.00 x 0.22 x 9.00 in (15.2 x 0.6 x 22.9 cm) |
| Age group | Adult, Teen |
| Original languages | English |
OPIS PROIZVODA
Machine Learning: Machine Learning: A Comprehensive, Step-by-Step Guide to Intermediate Concepts and Techniques in Machine Learning (Paperback)
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Značajke i prednosti
- Ideal for those with a basic understanding of machine learning.
- Step-by-step guide to building machine learning models in Python.
- Includes practical examples and algorithms.
- Introduction to deep learning and neural networks.
- Learn to create neural networks using Keras.
- Empower your machines with intelligent processes!
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