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Analytics, Data Science, & Artificial Intelligence: Systems For Decision Support,

Analytics, Data Science, & Artificial Intelligence: Systems For Decision Support,

Introducing our latest product, Analytics, Data Science, & Artificial Intelligence: Systems For Decision Support. This comprehensive guide is designed to provide you with the necessary tools and knowledge to make informed decisions using analytics, data science, and artificial intelligence. With the rapid growth of technology, it has become essential for businesses to utilize these tools in order to stay competitive in the market.

Our product covers a wide range of topics, including data analysis, predictive modeling, machine learning, and more. It also delves into the various applications of artificial intelligence, such as natural language processing and computer vision. Whether you are a beginner or an experienced professional, this book offers valuable insights and practical examples to help you understand and implement these concepts effectively.

With the help of this book, you will learn how to collect, clean, and analyze data to gain valuable insights and make data-driven decisions. You will also discover how to build and train machine learning models to predict future outcomes and optimize business processes. Additionally, our product explores the ethical considerations of using artificial intelligence and provides guidance on how to ensure responsible and ethical decision-making.

Don't miss out on this essential resource for anyone looking to enhance their decision-making skills using analytics, data science, and artificial intelligence. Purchase your copy of Analytics, Data Science, & Artificial Intelligence: Systems For Decision Support today and take your business to the next level.

SKU:9781292341552

Regular price ₹ 3,146.00
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Table of Content

PART I: INTRODUCTION TO ANALYTICS AND AI
1. An Overview of Business Analytics, Decision Support Systems, Business Intelligence, Data Science, and Artificial Intelligence
2. Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications
3. Nature of Data, Statistical Modeling, and Visualization
PART II: PREDICTIVE ANALYTICS AND MACHINE LEARNING
4. Data Mining Process, Methods, and Applications
5. Machine learning Techniques for Predictive Analytics
6. Deep Learning and Cognitive Computing
7. Text Mining, Sentiment Analysis, and Social Analytics
PART III: PRESCRIPTIVE ANALYTICS AND BIG DATA
8. Prescriptive Analytics with Optimization and Simulation
9. Big Data, Location Analytics, and Cloud Computing
PART IV: ROBOTICS, SOCIAL NETWORKS, AI, AND IoT
10. Robotics: Industrial and Consumer Applications
11. Group Decision Making, Collaborative Systems, and AI Support
12. Knowledge Systems: Expert Systems, Recommenders, Chatbots, Virtual Personal Assistants, and Robo Advisors
13. The Internet of Things As a Platform for Intelligent Applications
PART V: CAVEATS OF ANALYTICS AND AI
14. Implementation Issues: From Ethics and Privacy to Organizational and Societal Impacts

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