Machine Learning for Beginners

Author:   Victor Akinkunmi
Publisher:   Independently Published
ISBN:  

9798377895077


Pages:   38
Publication Date:   17 February 2023
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Machine Learning for Beginners


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Overview

"Are you new to the world of machine learning? Do you want to learn how to build intelligent systems that can learn from data? Look no further than 'Machine Learning for Beginners' - the ultimate guide to getting started with machine learning. In this beginner-friendly book, you'll learn the basics of machine learning, including key concepts, techniques, and tools. You'll explore the different types of machine learning algorithms and how to use them to solve real-world problems. From classification and regression to clustering and deep learning, you'll get a comprehensive overview of the field. But this book isn't just about theory - you'll also get hands-on experience building your own machine learning models. Using the popular Python programming language and tools like Scikit-learn and TensorFlow, you'll learn how to train and evaluate models on real datasets. With its clear explanations, practical examples, and easy-to-follow exercises, 'Machine Learning for Beginners' is the perfect resource for anyone who wants to get started with machine learning. Whether you're a programmer, data analyst, or simply curious about the field, this book will give you the knowledge and skills you need to succeed.""""Are you new to the world of machine learning? Do you want to learn how to build intelligent systems that can learn from data? Look no further than 'Machine Learning for Beginners' - the ultimate guide to getting started with machine learning. In this beginner-friendly book, you'll learn the basics of machine learning, including key concepts, techniques, and tools. You'll explore the different types of machine learning algorithms and how to use them to solve real-world problems. From classification and regression to clustering and deep learning, you'll get a comprehensive overview of the field. But this book isn't just about theory - you'll also get hands-on experience building your own machine learning models. Using the popular Python programming language and tools like Scikit-learn and TensorFlow, you'll learn how to train and evaluate models on real datasets. With its clear explanations, practical examples, and easy-to-follow exercises, 'Machine Learning for Beginners' is the perfect resource for anyone who wants to get started with machine learning. Whether you're a programmer, data analyst, or simply curious about the field, this book will give you the knowledge and skills you need to succeed."""

Full Product Details

Author:   Victor Akinkunmi
Publisher:   Independently Published
Imprint:   Independently Published
Dimensions:   Width: 14.00cm , Height: 0.20cm , Length: 21.60cm
Weight:   0.054kg
ISBN:  

9798377895077


Pages:   38
Publication Date:   17 February 2023
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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