Machine Learning Fundamentals in Action (Paperback)
Idioma: inglés
Editorial: Independently Published, 2024
- Tapa blanda
- Nuevo
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Vendedor de IberLibro desde 29 de junio de 2022
Condición: Nuevo
EUR 34,25
Cantidad disponible: 1 disponible
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Paperback. Are you ready to master Machine Learning Fundamentals and take your skills to the next level? Whether you're an aspiring data scientist, a business professional, or a curious learner, Machine Learning Fundamentals in Action is the guide you've been waiting for. Packed with practical examples, real-world applications, and clear explanations, this book is your gateway to the powerful world of machine learning.Unlock the Potential of Machine LearningMachine learning is transforming industries, from finance and healthcare to retail and entertainment. To leverage its potential, it's critical to understand the core principles driving it. Machine Learning Fundamentals in Action takes you step-by-step through the essential concepts, giving you the tools to develop and implement your own machine learning solutions.Who is this book for?Aspiring Data Scientists: Build a strong foundation in machine learning and prepare for a career in this fast-growing field.Business Professionals: Learn how to apply Machine Learning Fundamentals to make data-driven decisions and solve complex business problems.Developers: Go beyond coding and dive into building practical machine learning models that work in real-world scenarios.What You'll LearnMachine Learning Fundamentals in Action covers all the essential topics you need to know: What is Machine Learning?A clear introduction to what machine learning is and how it's shaping modern industries.The Role of DataUnderstand the importance of data, how to source and preprocess it, and why clean data is crucial for building successful machine learning models.Types of Machine LearningExplore supervised, unsupervised, and reinforcement learning, and how they apply to different real-world problems.Building Effective ModelsMaster techniques like regression, decision trees, and support vector machines with hands-on examples and simple explanations.Deploying ModelsLearn how to move your machine learning models from development to production, ensuring they deliver real business value.Why Buy This Book?Clear and Practical: Focused on hands-on learning, you'll find practical examples and step-by-step instructions that help you implement machine learning solutions.Step-by-Step Approach: Topics are broken down into easy-to-understand segments, allowing you to learn at your own pace and apply the knowledge in real-world settings.Real-World Applications: Discover how Machine Learning Fundamentals are used across industries like finance, healthcare, and e-commerce. These examples show you the tangible impact of machine learning.Accessible for All Skill Levels: Whether you're a beginner or have some experience, this book builds your understanding gradually and methodically.Ready to Master Machine Learning?Machine Learning Fundamentals in Action will empower you to confidently develop, implement, and deploy machine learning models that solve real problems. If you're ready to unlock the power of machine learning, this book will guide you every step of the way.Get your copy today and start your journey toward mastering Machine Learning Fundamentals! This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …
N° de ref. del artículo 9798343802979
- Título
- Machine Learning Fundamentals in Action (Paperback)
- Autor
- Konstantin Titov
- Editorial
- Independently Published
- Año de publicación
- 2024
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 13
- 9798343802979
Artificial intelligence is transforming every industry, but successful machine learning projects rarely fail because of algorithms. They fail because the wrong problems are chosen, the wrong data is collected, the wrong metrics are optimized, or the resulting models never become reliable production systems.
Machine Learning Fundamentals in Action takes a practical approach to machine learning by focusing on the complete lifecycle of a real-world solution—from identifying the business decision that matters to deploying, monitoring, governing, and continuously improving production models.
Rather than treating machine learning as a collection of mathematical formulas, this book explains how successful organizations design systems that create measurable business value while remaining accurate, reliable, explainable, and responsible.
Through realistic case studies, practical examples, and step-by-step explanations, you will learn how experienced machine learning teams approach projects, avoid costly mistakes, and build systems that continue delivering value long after deployment.
Inside this book you will learn how to:
• Define machine learning problems that solve real business decisions.
• Collect, evaluate, and prepare high-quality datasets.
• Detect hidden bias, leakage, and poor data quality before they undermine models.
• Understand supervised, unsupervised, and reinforcement learning in practical contexts.
• Select appropriate algorithms for different prediction and decision-making tasks.
• Train models while avoiding overfitting and common implementation mistakes.
• Evaluate models using metrics that reflect operational performance rather than misleading statistics.
• Build explainable and trustworthy AI systems.
• Address fairness, privacy, governance, and responsible AI throughout the development lifecycle.
• Deploy machine learning models into production environments.
• Implement MLOps practices for versioning, monitoring, retraining, and continuous improvement.
• Detect model drift and maintain reliable long-term performance.
• Understand the practical impact of GDPR, the EU AI Act, and modern AI governance frameworks on production systems.
Whether you are an aspiring data scientist, software developer, business analyst, AI engineer, technical manager, or executive responsible for AI initiatives, this book provides a practical framework for designing, implementing, evaluating, and operating machine learning systems that deliver measurable business results.
Instead of teaching isolated algorithms, Machine Learning Fundamentals in Action teaches how successful machine learning systems are conceived, built, deployed, governed, and continuously improved in real organizations.
If you want to move beyond experimentation and learn how production machine learning actually works, this book provides the roadmap.
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CitiRetail
Stevenage, Reino Unido
Vendedor de IberLibro desde 29 de junio de 2022
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