Some important books

I have studied some books and book drafts regarding this task. What follows is a rough outline of important materials covered in each of them. A lot more still needs to be read and understood. Also, some of the following materials I have covered only partially. However, I'll give a general idea about the contexts.

Book drafts:

1> Introduction to Information Retrieval (Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze. Chapters 6, 7, 8, 11, 12, 13, 14, 15, 16, 17, 18 should be of use.

2> Introduction to Machine Learning (Nils J. Nilsson). Chapters 1, 3, 4, 5, 6, 9, 11, 12 should be of use.

Books:

1> Information Retrieval: Algorithms and Heuristics (David A. Grossman, Ophir Frieder). Chapters 2, 3, 4, 5 should be of use.

2> Pattern Recognition Principles (Julius T. Tou, Rafael C. Gonzalez). Chapters 2, 3, 4, 5, 6, 7, 8 should be of use.

3> Speech and Language Processing (Daniel Jurafsky, James H. Martin). Chapters 3, 5, 6, 8, 9, 10, 11, 12, 14, 15, 16, 17, 18, 19, 20, 21 are of use.

4> Linguistics: An Introduction to Language and Communication (Adrian Akmajian, Richard A. Demers, Ann K. Farmer, Robert M. Harnish). Chapters 2, 5, 6, 7, 8, 9, 10 should be of use; chapters 11 and 12 are also important.

5> Principles of Artificial Intelligence (Nils J. Nilsson). Chapters 1, 2, 3, 6 are important.

6> Artificial Intelligence: A New Synthesis (Nils J. Nilsson). Chapters 3, 4, 5, 6, 7, 8, 9, 10, 17, 18, 19, 20, 23, 24 are important.

7> Digital Image Processing (Rafael C. Gonzalez, Richard E. Woods). Chapters 9, 10, 11, 12 are important.

8> Computer Vision: A Modern Approach (David A. Forsyth, Jean Ponce). Chapters 14, 15, 16, 22, 23 are important.