Articles liés à Machine Learning: Complete Crash Course with Test Q&A
Synopsis
Welcome to "Machine Learning - Complete Crash Course with Test Q&A", your comprehensive guide to mastering the fascinating world of machine learning. This book is designed to equip you with the essential knowledge and skills needed to understand, build, and evaluate machine learning models, preparing you for certification and real-world applications.
Why Machine Learning?
Machine learning is revolutionizing various industries, from healthcare and finance to marketing and transportation. It empowers computers to learn from data and make intelligent decisions, leading to innovations that enhance our daily lives. Whether you're a budding data scientist, a software engineer looking to expand your skill set, or a professional seeking to leverage machine learning in your field, this course is your gateway to unlocking the potential of this transformative technology.
What You Will Learn
This crash course is structured into 11 comprehensive chapters, each focusing on a crucial aspect of machine learning. Here's a glimpse of what you'll explore:
Introduction to Machine Learning: Understand the fundamentals, history, and types of machine learning.
Data Preprocessing and Exploration: Learn how to prepare and explore your data for meaningful insights.
Supervised Learning - Regression: Dive into linear, polynomial, and regularized regression techniques.
Supervised Learning - Classification: Master classification algorithms like logistic regression, SVM, and decision trees.
Unsupervised Learning: Explore clustering, dimensionality reduction, and anomaly detection.
Neural Networks and Deep Learning: Discover the power of neural networks, CNNs, RNNs, and deep learning frameworks.
Reinforcement Learning: Delve into the fundamentals and applications of reinforcement learning.
Model Selection and Optimization: Learn cross-validation, hyperparameter tuning, and model ensembling techniques.
Model Deployment and Maintenance: Understand strategies for deploying, monitoring, and maintaining models in production.
Ethical and Responsible AI: Explore fairness, bias, privacy, and interpretability in AI.
Capstone Project: Apply your knowledge to a real-world problem, from project selection to deployment.
Interactive Learning with Test Q&A
Each chapter concludes with a set of test questions and answers, allowing you to assess your understanding and reinforce your learning. These questions are designed to challenge your knowledge and help you prepare for certification exams.
Getting Started
No prior experience in machine learning? No problem! This course starts with the basics and gradually builds up to advanced topics. Whether you're a beginner or have some experience, you'll find this course valuable and engaging.
Embark on this learning journey and discover the exciting possibilities that machine learning offers. Let's dive in and start transforming data into intelligence!
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
- ÉditeurIndependently published
- Date d'édition2025
- ISBN 13 9798305850185
- ReliureBroché
- Langueanglais
- Nombre de pages126
- Coordonnées du fabricantnon disponible
Acheter neuf
Afficher cet article
EUR 9,45
EUR 4,66 expédition depuis Royaume-Uni vers France
Destinations, frais et délaisRésultats de recherche pour Machine Learning: Complete Crash Course with Test Q&A
Image d'archives
Machine Learning: Complete Crash Course with Test Q&A (Most Popular and Trending Courses to Build Your Career)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. In. N° de réf. du vendeur ria9798305850185_new
Quantité disponible : Plus de 20 disponibles
Image d'archives
Manuh, Y: Machine Learning
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware - Why Machine Learning. N° de réf. du vendeur 9798305850185
Quantité disponible : 2 disponible(s)
Image d'archives
Machine Learning (Paperback)
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. Welcome to "Machine Learning - Complete Crash Course with Test Q&A", your comprehensive guide to mastering the fascinating world of machine learning. This book is designed to equip you with the essential knowledge and skills needed to understand, build, and evaluate machine learning models, preparing you for certification and real-world applications.Why Machine Learning?Machine learning is revolutionizing various industries, from healthcare and finance to marketing and transportation. It empowers computers to learn from data and make intelligent decisions, leading to innovations that enhance our daily lives. Whether you're a budding data scientist, a software engineer looking to expand your skill set, or a professional seeking to leverage machine learning in your field, this course is your gateway to unlocking the potential of this transformative technology.What You Will LearnThis crash course is structured into 11 comprehensive chapters, each focusing on a crucial aspect of machine learning. Here's a glimpse of what you'll explore: Introduction to Machine Learning: Understand the fundamentals, history, and types of machine learning.Data Preprocessing and Exploration: Learn how to prepare and explore your data for meaningful insights.Supervised Learning - Regression: Dive into linear, polynomial, and regularized regression techniques.Supervised Learning - Classification: Master classification algorithms like logistic regression, SVM, and decision trees.Unsupervised Learning: Explore clustering, dimensionality reduction, and anomaly detection.Neural Networks and Deep Learning: Discover the power of neural networks, CNNs, RNNs, and deep learning frameworks.Reinforcement Learning: Delve into the fundamentals and applications of reinforcement learning.Model Selection and Optimization: Learn cross-validation, hyperparameter tuning, and model ensembling techniques.Model Deployment and Maintenance: Understand strategies for deploying, monitoring, and maintaining models in production.Ethical and Responsible AI: Explore fairness, bias, privacy, and interpretability in AI.Capstone Project: Apply your knowledge to a real-world problem, from project selection to deployment.Interactive Learning with Test Q&AEach chapter concludes with a set of test questions and answers, allowing you to assess your understanding and reinforce your learning. These questions are designed to challenge your knowledge and help you prepare for certification exams.Getting StartedNo prior experience in machine learning? No problem! This course starts with the basics and gradually builds up to advanced topics. Whether you're a beginner or have some experience, you'll find this course valuable and engaging.Embark on this learning journey and discover the exciting possibilities that machine learning offers. Let's dive in and start transforming data into intelligence! Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798305850185
Quantité disponible : 1 disponible(s)
Image d'archives
Machine Learning (Paperback)
Vendeur : Grand Eagle Retail, Fairfield, OH, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. Welcome to "Machine Learning - Complete Crash Course with Test Q&A", your comprehensive guide to mastering the fascinating world of machine learning. This book is designed to equip you with the essential knowledge and skills needed to understand, build, and evaluate machine learning models, preparing you for certification and real-world applications.Why Machine Learning?Machine learning is revolutionizing various industries, from healthcare and finance to marketing and transportation. It empowers computers to learn from data and make intelligent decisions, leading to innovations that enhance our daily lives. Whether you're a budding data scientist, a software engineer looking to expand your skill set, or a professional seeking to leverage machine learning in your field, this course is your gateway to unlocking the potential of this transformative technology.What You Will LearnThis crash course is structured into 11 comprehensive chapters, each focusing on a crucial aspect of machine learning. Here's a glimpse of what you'll explore: Introduction to Machine Learning: Understand the fundamentals, history, and types of machine learning.Data Preprocessing and Exploration: Learn how to prepare and explore your data for meaningful insights.Supervised Learning - Regression: Dive into linear, polynomial, and regularized regression techniques.Supervised Learning - Classification: Master classification algorithms like logistic regression, SVM, and decision trees.Unsupervised Learning: Explore clustering, dimensionality reduction, and anomaly detection.Neural Networks and Deep Learning: Discover the power of neural networks, CNNs, RNNs, and deep learning frameworks.Reinforcement Learning: Delve into the fundamentals and applications of reinforcement learning.Model Selection and Optimization: Learn cross-validation, hyperparameter tuning, and model ensembling techniques.Model Deployment and Maintenance: Understand strategies for deploying, monitoring, and maintaining models in production.Ethical and Responsible AI: Explore fairness, bias, privacy, and interpretability in AI.Capstone Project: Apply your knowledge to a real-world problem, from project selection to deployment.Interactive Learning with Test Q&AEach chapter concludes with a set of test questions and answers, allowing you to assess your understanding and reinforce your learning. These questions are designed to challenge your knowledge and help you prepare for certification exams.Getting StartedNo prior experience in machine learning? No problem! This course starts with the basics and gradually builds up to advanced topics. Whether you're a beginner or have some experience, you'll find this course valuable and engaging.Embark on this learning journey and discover the exciting possibilities that machine learning offers. Let's dive in and start transforming data into intelligence! Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798305850185
Quantité disponible : 1 disponible(s)