Length9h 45m
About this audiobook
The illustrations in this book are created by “Team Educohack”.
Data Science and AI Simplified provides comprehensive knowledge on the theories, techniques, and applications in Analytics, Data Science, and Artificial Intelligence (AI). We cover the entire analytics process, from data collection and processing to analysis and interpretation, helping you derive valuable insights that can significantly impact businesses.
We explain data science, focusing on how to transform raw data into valuable information for strategic business development. By analyzing large amounts of structured and unstructured data, organizations can identify patterns, reduce costs, and increase performance and efficiency.
Our book also explores AI, demonstrating how machines learn from experience, adapt to new inputs, and perform human-like tasks. From chess-playing computers to self-driving cars, we delve into AI applications that rely on deep learning and natural language processing.
Whether you're a beginner or looking to expand your expertise, Data Science and AI Simplified offers clear, easy-to-understand explanations and practical examples, ensuring a thorough grasp of these essential fields.
Audiobook details
GenreTechnology, Science and Nature
Length9 hrs 45 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateJan 3, 2025
LanguageEnglish
Table of contents
1Preface
2PART I - Introduction to Analytics and AI
31Introduction to Business Analytics and AI
41.1Business Analytics
51.1.1Types of Business Analytics
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61.1.2Challenges to Business Analytics
71.1.3How Business Analytics Work
81.1.4Applications of Business Analytics
91.1.5Business Analytics vs Data Science
101.2Decision Support Systems (DSS)
111.2.1Development Framework
121.2.2Applications of Decision Support Systems
131.3Business Intelligence
141.3.1Business Intelligence vs Competitive Intelligence
151.3.2Data
161.3.3Applications of Business Intelligence
171.4Data Science
181.4.1Data Science vs Business Intelligence
191.4.2Lifecycle of Data Science
201.5Artificial Intelligence: 1.5.1Applications of AI
211.6References
222Artificial Intelligence: Concepts, Drivers, Major Technologies and Business Applications
232.1Introduction
242.2Concept behind Artificial Intelligence
252.3Drivers to the Development of Artificial Intelligence
262.4Major Technologies which are prevalent in Artificial Intelligence
272.4.1Decision Management
282.4.2Generation of Natural Language
292.4.3Optimized Hardware
302.4.4Biometrics
312.4.5Analysis of Text
322.4.6Automation by Robotic Processes
332.4.7Virtual Agents
342.5Major Business Applications of Artificial Intelligence
352.5.1Fraud Detection in Banking and Finance
362.5.2Customer Support
372.5.3Security
382.5.4Human Resource Management
392.5.5Forecasting Market Behavior
402.5.6Improved System Processes
412.5.7Hazardous Business Operations
422.6References
433Nature of Data, Statistical Modeling, and Visualization
443.1Nature of Data: 3.1.1Introduction
453.2Statistical Modeling
463.2.1Introduction
473.2.2Statistical Model Specification
483.2.3Formal Definition and Dimensions of the Model
493.2.4Statistical Inference
503.2.5Statistical Hypothesis Testing
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