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Artificial Intelligence

Artificial Intelligence: A Modern Approach (3rd ed.)

Russell, S. & Norvig, P.

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Artificial Intelligence (3rd ed.)

Luger, G. F.

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Machine Learning

Pattern Recognition and Machine Learning

Bishop, C. M.

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The Elements of Statistical Learning (2nd ed.)

Hastie, T., Tibshirani, R., & Friedman, J.

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An Introduction to Statistical Learning

James, G., Witten, D., Hastie, T., & Tibshirani, R.

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Deep Learning

Deep Learning

Goodfellow, I., Bengio, Y., & Courville, A.

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Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow (3rd ed.)

Géron, A.

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Soft Computing

Fuzzy Logic with Engineering Applications (4th ed.)

Ross, T. J.

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Principles of Soft Computing (2nd ed.)

Sivanandam, S. N. & Deepa, S. N.

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Introduction to Genetic Algorithms

Sivanandam, S. N. & Deepa, S. N.

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Design & Analysis of Algorithms

Introduction to Algorithms, 4th ed. (CLRS)

Cormen, Leiserson, Rivest, & Stein

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Algorithm Design

Kleinberg, J. & Tardos, É.

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Artificial Intelligence

Unit 1 — Introduction, Intelligent Agents & Turing Test

Definition of AI · Types · Foundations · Applications

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Unit 2 — Search Algorithms

Uninformed search · Informed search · Heuristics · A*

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Unit 3 — Knowledge & Reasoning

Knowledge representation issues · Representation & mapping · Approaches to knowledge representation

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Unit 4 — First Order Predicate Logic

First Order Predicate Logic · Resolution · Baysian Network · Fuzzy Logic

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Unit 5 — NLP & Expert Systems

NLP · Learning · Expert Systems

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Machine Learning

Chapter 1 — Introduction, Types of Learning & Bias-Variance

Definitions · Supervised / Unsupervised / RL · Bias-variance tradeoff

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Soft Computing

Chapter 1 — Introduction to Soft Computing

Hard vs. soft computing · Constituents · Applications

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Design & Analysis of Algorithms

Chapter 1 — Introduction & Asymptotic Analysis

Complexity · Big-O · Ω · Θ notation · Recurrences · Master theorem

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