9798297784673 - supervised learning algorithms: a student’s practical guide (ai course) de mishra, anshuman (9 resultados)
- Tapa blanda
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 16,33
Envío por EUR 2,28Se envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.
- Tapa blanda
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 16,93
Envío por EUR 2,28Se envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: As New. Unread book in perfect condition.
- Tapa blanda
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 20,66
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
- Tapa blanda
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 18,34
Envío por EUR 4,86Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
- Tapa blanda
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 18,33
Envío por EUR 17,51Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.
- Tapa blanda
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 19,24
Envío por EUR 17,51Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: As New. Unread book in perfect condition.
- Tapa blanda
- Impresión bajo demanda
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 18,69
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Overview: What This Book Offers"Supervised Learning Algorithms: A Student's Practical Guide" is designed to be a complete, student-friendly resource spanning from fundamentals to real-world applications. It blends solid theory, intuitive explanation, hands-on practice, and deep reflections o…n ethical and future directions in machine learning. Why This Book Matters: Benefits of Study1. Accurate, Reliable PredictionsSupervised learning trains models using labeled data, empowering them to make precise, dependable predictions once they're well-trained .2. Clarity and InterpretabilityMany algorithms-like linear regression and decision trees-are transparent and easy to interpret. This clarity is especially vable in domains like education, healthcare, or finance, where understanding model decisions is critical .3. Wide-Ranging ApplicabilityFrom discovering spam emails to forecasting housing prices, supervised learning spans classification and regression tasks and touches nearly every industry-healthcare, finance, tech, agriculture, climate science, robotics, and more .4. Practically Accessible for StudentsIts structured nature-train on labeled data, test, iterate-makes supervised learning ideal for learners. Simple yet powerful, it's accessible for beginners using intuitive models, and expandable toward advanced techniques like neural networks over time .5. Enhances Critical Thinking and CreativityWorking with real-world datasets and building predictive models fosters analytical thinking and creativity-skills highly valued in academics and industry .6. Automates and Scales TasksSupervised models can automate repetitive tasks-like grading assignments or detecting fraudulent transactions-freeing time and energy for more complex, human-driven work .7. Supports Active and Adaptive LearningEducational systems powered by supervised learning enable personalized instruction and adapt in real time-improving learning outcomes and engagement. How This Book Facilitates LearningStructured Learning ApproachClear progression from foundational math to advanced models, tuned with your preferred "Chapter-X / X.X" structure for clarity and easy navigation.Foundations (Chapters 1-2) ensure students build competency before diving deeper.Balanced Theory and Practical ApplicationEach concept is explained theoretically and reinforced with intuitive, accessible examples.Hands-on Python exercises using libraries like scikit-learn make learning practical and code-first.Algorithmic BreadthCovers essential models: regression and classification basics, ensemble methods, boosting (XGBoost / LightGBM), and hyperparameter tuning.Encourages experimentation and a deep understanding of model behavior.Model Evation and Best PracticesTeaches rigorous evation using metrics (accuracy, precision, F1-score), validation strategies, ROC/AUC understanding, and discussions on overfitting vs. generalization.Also addresses ethical AI, model interpretability, and fairness concerns.Case Studies and Real ProjectsIn-depth projects: housing price prediction, spam filtering, churn analysis, handwriting recognition.Hands-on experience is supplemented with dataset access, real-world insights, and optional competitions or extension ideas.Future-Focused DiscussionsCovers current trends and research, interpretability, ethical considerations, and explores how supervised learning fits into the evolving landscape of AI. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Tapa blanda
- Impresión bajo demanda
Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 18,72
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Print on Demand.
- Tapa blanda
- Impresión bajo demanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 22,23
Envío por EUR 43,19Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Overview: What This Book Offers"Supervised Learning Algorithms: A Student's Practical Guide" is designed to be a complete, student-friendly resource spanning from fundamentals to real-world applications. It blends solid theory, intuitive explanation, hands-on practice, and deep reflections o…n ethical and future directions in machine learning. Why This Book Matters: Benefits of Study1. Accurate, Reliable PredictionsSupervised learning trains models using labeled data, empowering them to make precise, dependable predictions once they're well-trained .2. Clarity and InterpretabilityMany algorithms-like linear regression and decision trees-are transparent and easy to interpret. This clarity is especially vable in domains like education, healthcare, or finance, where understanding model decisions is critical .3. Wide-Ranging ApplicabilityFrom discovering spam emails to forecasting housing prices, supervised learning spans classification and regression tasks and touches nearly every industry-healthcare, finance, tech, agriculture, climate science, robotics, and more .4. Practically Accessible for StudentsIts structured nature-train on labeled data, test, iterate-makes supervised learning ideal for learners. Simple yet powerful, it's accessible for beginners using intuitive models, and expandable toward advanced techniques like neural networks over time .5. Enhances Critical Thinking and CreativityWorking with real-world datasets and building predictive models fosters analytical thinking and creativity-skills highly valued in academics and industry .6. Automates and Scales TasksSupervised models can automate repetitive tasks-like grading assignments or detecting fraudulent transactions-freeing time and energy for more complex, human-driven work .7. Supports Active and Adaptive LearningEducational systems powered by supervised learning enable personalized instruction and adapt in real time-improving learning outcomes and engagement. How This Book Facilitates LearningStructured Learning ApproachClear progression from foundational math to advanced models, tuned with your preferred "Chapter-X / X.X" structure for clarity and easy navigation.Foundations (Chapters 1-2) ensure students build competency before diving deeper.Balanced Theory and Practical ApplicationEach concept is explained theoretically and reinforced with intuitive, accessible examples.Hands-on Python exercises using libraries like scikit-learn make learning practical and code-first.Algorithmic BreadthCovers essential models: regression and classification basics, ensemble methods, boosting (XGBoost / LightGBM), and hyperparameter tuning.Encourages experimentation and a deep understanding of model behavior.Model Evation and Best PracticesTeaches rigorous evation using metrics (accuracy, precision, F1-score), validation strategies, ROC/AUC understanding, and discussions on overfitting vs. generalization.Also addresses ethical AI, model interpretability, and fairness concerns.Case Studies and Real ProjectsIn-depth projects: housing price prediction, spam filtering, churn analysis, handwriting recognition.Hands-on experience is supplemented with dataset access, real-world insights, and optional competitions or extension ideas.Future-Focused DiscussionsCovers current trends and research, interpretability, ethical considerations, and explores how supervised learning fits into the evolving landscape of AI. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
