Nikita Silaparasetty
Machine Learning Concepts with Python and the Jupyter Notebook Environment: Using Tensorflow 2.0
Machine Learning Concepts with Python and the Jupyter Notebook Environment: Using Tensorflow 2.0
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Excellent- More about Machine Learning Concepts with Python and the Jupyter Notebook Environment: Using Tensorflow 2.0
This book teaches how to program machine learning applications with Python and TensorFlow 2.0 in the Jupyter Notebook environment. It breaks down barriers to programming and includes sample programs for beginners to develop basic skills.
Format: Paperback / softback
Length: 290 pages
Publication date: 22 September 2020
Publisher: APress
This comprehensive book empowers you to create, execute, modify, and share machine learning applications with Python and TensorFlow 2.0 in the Jupyter Notebook environment. By leveraging the power of Jupyter Notebook, it breaks down any barriers to programming machine learning applications, offering a seamless and intuitive approach.
In the first chapter, you will embark on a journey of learning how to use Jupyter Notebooks to enhance your Python programming experience. You will delve into its features, functionalities, and how it can revolutionize the way you code. With a solid foundation in Jupyter Notebooks, you will then delve into the world of TensorFlow, understanding its significance in the realm of machine learning. You will explore its capabilities, challenges, and how it empowers enthusiasts to tackle complex problems. Throughout the book, you will be provided with sample programs crafted using Jupyter Notebooks. These programs will allow you to apply the concepts learned earlier, fostering your understanding and building your skills. Whether you are a novice in machine learning or have some prior experience, this book caters to your needs. It provides a gentle introduction for those new to the field, allowing you to dive in and develop basic skills.
A comprehensive glossary at the end of the book serves as a valuable resource, offering common machine learning and Python keywords and definitions. This glossary simplifies the learning process, ensuring that you have a solid grasp of the terminology used in the field.
By following the steps outlined in this book, you will gain the confidence to create, execute, modify, and share machine learning applications with Python and TensorFlow 2.0 in the Jupyter Notebook environment. Unleash your creativity, unlock the potential of machine learning, and embark on exciting projects that have the power to transform industries.
Weight: 416g
Dimension: 154 x 233 x 30 (mm)
ISBN-13: 9781484259665
Edition number: 1st ed.
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