Dokumen Pub Predicting Property Prices With Machine Learning A Case Study In The Moroccan Real Estate Market
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Data Science
Learn the basics of Data Science through an easy to understand conceptual framework and immediately practice using RapidMiner platform. Whether you are brand new to data science or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Science has become an essential tool to extract value from data for any organization that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, engineers, and analytics professionals and for anyone who works with data. You'll be able to: Gain the necessary knowledge of different data science techniques to extract value from data. Master the concepts and inner workings of 30 commonly used powerful data science algorithms. Implement step-by-step data science process using using RapidMiner, an open source GUI based data science platform Data Science techniques covered: Exploratory data analysis, Visualization, Decision trees, Rule induction, k-nearest neighbors, Naïve Bayesian classifiers, Artificial neural networks, Deep learning, Support vector machines, Ensemble models, Random forests, Regression, Recommendation engines, Association analysis, K-Means and Density based clustering, Self organizing maps, Text mining, Time series forecasting, Anomaly detection, Feature selection and more...
Artificial Intelligence in Healthcare
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Cambridge IGCSE and O Level Economics
Written with the international student in mind, this book is endorsed by Cambridge International Examinations and contains the most up-to-date case studies, global examples and statistics. - In-depth coverage of every aspect of the latest Cambridge IGCSE and O Level Economics syllabuses to help students build the skills needed to succeed - Engaging and contemporary case studies and examples ensure the book is relevant to the international student - Accessible language and key terms defined to support ESL/EAL students - Student-focused CD-ROM provides useful weblinks to the latest case studies, interactive activities and answers to the questions in the textbook "A stimulating and exciting introduction to Economics that enables students from anywhere in the world to relate to the subject." Caroline Loewenstein, Economics and Business Education Association Cambridge International Examinations and Hodder Education Hodder Education works closely with Cambridge International Examinations and is an authorised publisher of endorsed textbooks for a wide range of Cambridge syllabuses and curriculum frameworks. Hodder Education resources - tried and tested over many years but updated regularly - are used with confidence worldwide by thousands of Cambridge students.