Machine Learning Mastery From Data To Decisions [#993493]

Free Download Machine Learning Mastery: From Data To Decisions
English | December 22, 2025 | ASIN: B0GBYTJ3VZ | 122 pages | Epub | 1.20 MB
AI Insights Series Volume 2: Machine Learning Mastery - From Data to Decisions By James Head Book Description Building directly on the foundational knowledge from Volume 1, Machine Learning Mastery - From Data to Decisions takes you from curious beginner to confident practitioner. This hands-on volume demystifies the complete machine learning workflow, guiding you step-by-step through the process of turning raw data into accurate, actionable predictions and insights. Whether you're a business professional seeking to leverage data-driven decisions, a student preparing for a career in tech, or a developer ready to build your first real models, this book equips you with practical skills and deep understanding-no advanced mathematics degree required. What You'll Learn The Full Machine Learning Pipeline : Explore every stage from data collection and cleaning to model training, evaluation, and deployment. Learn why each step matters and how mistakes in one stage can cascade through the entire process. Data Preparation Mastery : Discover proven techniques for handling missing values, outliers, feature engineering, scaling, and encoding categorical variables-the often-overlooked steps that separate mediocre models from outstanding ones. Core Algorithms in Depth : Gain intuitive understanding (backed by clear visuals and real-world examples) of essential algorithms including linear regression, logistic regression, decision trees, random forests, support vector machines, k-nearest neighbors, and clustering methods like k-means. Model Evaluation and Validation : Master metrics such as accuracy, precision, recall, F1-score, ROC-AUC, and confusion matrices. Learn cross-validation, train-test splits, and how to detect and prevent overfitting and underfitting. Practical Projects : Build and deploy complete models with guided, end-to-end projects including: Predicting house prices with regression Customer churn classification Credit risk assessment Market segmentation using clustering All projects include downloadable datasets and complete Python code. Tools and Best Practices : Work fluently with industry-standard libraries-Pandas for data manipulation, Scikit-learn for modeling, MatDescriptionlib and Seaborn for visualization-while learning workflow tips used by professional data scientists. Real-World Case Studies : See how companies like Netflix, Amazon, and healthcare providers apply these techniques to recommendation systems, fraud detection, personalized medicine, and inventory optimization. Written in the same accessible style as Volume 1, this book continues to use everyday analogies, avoids unnecessary jargon, and includes diagrams, code snippets, quizzes, and companion resources. By the end, you'll not only understand how machine learning works-you'll be able to apply it to solve real problems in your own domain. Perfect for readers who have completed Volume 1 or have basic familiarity with AI concepts and introductory Python. Ready to turn data into decisions? Volume 2 gives you the mastery you need to make it happen.