A Practical Guide To Artificial Intelligence And Data Analytics(1st Edition)
Authors:
Rayan S. Wali
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Book details
ISBN: B09QFFP7J8, 979-8403640718
Book publisher: Independently published
Book Summary: Whether you are looking to prepare for AI/ML/Data Science job interviews or you are a beginner in the field of Data Science and AI, this book is designed for engineers and AI enthusiasts like you at all skill levels. Taking a different approach from a traditional textbook style of instruction, A Practical Guide to AI and Data Analytics touches on all of the fundamental topics you will need to understand deeper into machine learning and artificial intelligence research, literature, and practical applications with its four parts:Part I: A Conceptual (and Visual) Illustration [topics including, but not limited to, are listed below]Fundamentals of Data ScienceThe Data and Machine Learning PipelinesData Preprocessing + Worked Data Preprocessing StrategyData VisualizationPython for Data AnalysisCalculus & Linear Algebra FundamentalsData Structures and Algorithms FundamentalsMachine Learning Models & Algorithms (kNN, Neural Networks, Hidden Markov Models, Ensemble Methods, etc.)Deep Learning for Computer Vision & NLP (CNNs, RNNs, etc.) [with practical case study]Data MiningModel DeploymentTime Series Data Analysis [with practical case study]AI Systems in the Real-WorldApplications of Data Analysis ExercisesDatabase Systems & Cloud Computing [with practical example]ML in IndustryPart II: 8 Full-Length Case StudiesCase Study I: Sports Web ScrapingCase Study II: NLP Textual AnalysisCase Study III: Emergency Response Duration AnalysisCase Study IV: MNIST Image ClassificationCase Study V: COVID-19 Chest X-Ray ScreeningCase Study VI: Signal Strength Geospatial AnalysisCase Study VII: NYC Crash Accidents Data AnalysisCase Study VIII: Sales ForecastingPart III: Mixed ExercisesThis section consists of 50+ exercises designed to reinforce the content from the knowledge gained in Part I and the practical case studies in Part II. These exercises are strategically constructed to cover a wide range of topics, from statistics to machine learning to cloud computing, and help you prepare for AI and Data Analytics interviews.Part IV: A Full-Length Data Science and Analytics Skills Assessment (DSSA)With exercises that span a wide range of AI problems from different domains, from the economics and finance to transportation and medical industries, the DSSA aims to provide a comprehensive assessment to measure your understanding through cleverly-designed AI reasoning, problem-solving, and scenario-based exercises, whether you use it to enhance your understanding in the AI and Data Analytics field or use it to prepare for your AI/Data Analytics problem solving and system design interviews.Section I: 60 Multiple-Choice and Short-Answer ExercisesSection II: 5 AI & Data Analytics Problem Solving and Coding ExercisesSolutions to Sections I and II are includedWith an illustrative approach to instruction, worked examples, and case studies, this easy-to-understand book simplifies many of the AI and Data Analytics key concepts, leading to an improvement of AI/ML system design skills.
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