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Overview"""Machines Learning for Beginners: A Beginner's Guide to the World of Machine Learning"" is your essential handbook for stepping into the realm of machine learning with confidence. This beginner-friendly book provides a solid foundation in machine learning concepts, making complex ideas accessible to anyone eager to explore this cutting-edge field. Inside this introductory guide, you'll uncover: Machine Learning Fundamentals: A clear and concise introduction to the core principles and terminology of machine learning. Types of Machine Learning: An exploration of supervised, unsupervised, and reinforcement learning, along with their real-world applications. Algorithms Demystified: Insights into popular machine learning algorithms like linear regression, decision trees, and neural networks, explained in plain language. Data Preparation: How to collect, clean, and preprocess data to make it suitable for machine learning models. Model Building: Step-by-step guidance on building, training, and evaluating machine learning models to solve practical problems. Feature Engineering: Techniques for selecting and engineering relevant features to improve model performance. Overfitting and Bias: Understanding and addressing common challenges such as overfitting and bias in machine learning. Hands-On Exercises: Practical exercises and projects to apply your newfound knowledge and reinforce your skills. Real-World Applications: Case studies that showcase how machine learning is used in fields like healthcare, finance, and natural language processing. Getting Started: Tips on setting up your development environment and further resources for deeper learning. Whether you're a student, a professional exploring career opportunities, or simply curious about the potential of machine learning, this guide provides a friendly and comprehensive introduction. Start your journey into the fascinating world of machine learning today and equip yourself with the skills to shape the future through data-driven insights. Top of FormBottom of Form" Full Product DetailsAuthor: Bobby FosterPublisher: Bobby Foster Imprint: Bobby Foster Dimensions: Width: 15.20cm , Height: 0.60cm , Length: 22.90cm Weight: 0.154kg ISBN: 9783988315175ISBN 10: 3988315176 Pages: 108 Publication Date: 01 October 2023 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviews"""Bobby Foster's 'MACHINES LEARNING FOR BEGINNERS' is an exceptional entry point into the world of machine learning. A must-read for aspiring data scientists."" - DataScienceInsights ""A comprehensive and beginner-friendly guide to machine learning. Foster's writing makes complex concepts understandable."" - TechExplainedMag ""'MACHINES LEARNING FOR BEGINNERS' is a treasure trove of knowledge. Bobby Foster has a gift for explaining machine learning in a simple yet profound way."" - AIEnthusiastReviews ""An excellent book for those new to machine learning. Bobby Foster's passion for the subject shines through."" - MachineLearningToday" Author InformationBobby Foster is a passionate advocate for making the complex world of machine learning accessible to beginners. With a background in computer science and a knack for simplifying intricate concepts, Bobby is committed to helping readers embark on their journey into the world of machine learning. Tab Content 6Author Website:Countries AvailableAll regions |