reading.md

layout	title
page	Computing Learning

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HCI and Statistics (Hypothesis Testing and Survey Sampling)

Learning Technology and Statistics (Bayesian Learning)

Statistical Computing

• Talking to computers in natural language
  Percy Liang
  [paper]

              <p>
                  <b>Probabilistic Graphical Models Principles and Techniques</b><br>
                  Daphne Koller and Nir Friedman <br>
                  [<a href="https://mitpress.mit.edu/books/probabilistic-graphical-models">link</a>]
              </p>
              <p>
                  <b>Machine Learning A Probabilistic Perspective</b><br>
                  Kevin P. Murphy <br>
                  [<a href="https://mitpress.mit.edu/books/machine-learning-0">paper</a>]
              </p>
              <p>
                  <b>On Discriminative vs. Generative classifiers: A comparision of logistic regression and naive Bayes</b><br>
                  Andrew Y.Ng, Michael I. Jordan <br>
                  [<a href="http://ai.stanford.edu/~ang/papers/nips01-discriminativegenerative.pdf">paper</a>]
              </p>
              <p>
                  <b>A Few Useful Things to Know about Machine Learning</b><br>
                  Pedro Domingos<br>
                  [<a href="https://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf">paper</a>]
              </p>
              <p>
                  <b>Experimental Design and Analysis</b><br>
                  Howard Seltman<br>
                  [<a href="http://www.stat.cmu.edu/~hseltman/309/Book/Book.pdf">paper</a>]
              </p>
          </li>
      </ul>
  

Logical Reasoning

• Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp
  Peter Norvig
  [link]

    </ul>

Artificial Intelligence

•             <p>
                  <b>Hierarchical Temporal Memory Concepts, Theory, and Terminology</b><br>
                  Jeff Hawkins and Dileep George<br>
                  [<a href="http://www-edlab.cs.umass.edu/cs691jj/hawkins-and-george-2006.pdf">paper</a>]
              </p>
  
              <p>
                  <b>Building Watson: An Overview of the DeepQA Project</b><br>
                  David Ferrucci et al.<br>
                  [<a href="http://www.aaai.org/ojs/index.php/aimagazine/article/view/2303">link</a>]
              </p>
  
              <p>
                  <b>Artificial Intelligence: A Modern Approach</b><br>
                  Stuart Russell and Peter Norvig<br>
                  [<a href="http://aima.cs.berkeley.edu/">link</a>]
              </p>
  
              <p>
                  <b>What is Artificial Intelligence?</b><br>
                  John McCarthy<br>
                  [<a href="http://www-formal.stanford.edu/jmc/whatisai/">link</a>]
              </p>
          </li>
  
      </ul>
  

Algorithms

• Computational Complexity: A Modern Approach
  Sanjeev Arora and Boaz Barak
  [Link]

  Calculated Bets: Computers, Gambling, and Mathematical Modeling to Win
  Steven Skiena
  [Link]

  Algorithms
  Sanjoy Dasgupta, Christos Papadimitriou, Umesh Vazirani
  [Link]

  Introduction to Algorithms
  Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein
  [Link]

Computing System

• The Humble Programmer
  Edsger W. Dijkstra
  [Link]

        <li class="list-group-item">
            <p>
                <b>Structure and Interpretation of Computer Programs</b><br>
                Harold Abelson and Gerald Jay Sussman<br>
                [<a href="https://mitpress.mit.edu/books/structure-and-interpretation-computer-programs">Link</a>]
            </p>
        </li>

        <li class="list-group-item">
            <p>
                <b>Code: The Hidden Language of Computer Hardware and Software</b><br>
                 Charles Petzold<br>
                [<a href="http://www.amazon.com/Code-Language-Computer-Hardware-Software/dp/0735611319">Link</a>]
            </p>
        </li>

        <li class="list-group-item">
            <p>
                <b>What Every Programmer Should Know About Memory</b><br>
                Ulrich Drepper<br>
                [<a href="https://people.freebsd.org/~lstewart/articles/cpumemory.pdf">Paper</a>]
            </p>
        </li>
    </ul>

Computing Language

• Punctuated equilibrium in the large scale evolution of programming languages
  Sergi Valverde,and Ricard Sole
  [Paper]

  Programming Language Tracing
  [Image]

  The early development of programming languages
  Donald E. Knuth
  [Paper]

  Can programming be liberated from the von Neumann style?: a functional style and its algebra of programs
  John Backus
  [Paper]

  Report on the algorithmic language Algol 60
  P.Nauer
  [Paper]

Computing Philosophy

• The Singularity: A Philosophical Analysis
  David J. Chalmers
  [paper]

  The Society of Mind
  Marvin Minsky
  [paper]

    </ul>

Theory of Computing

• COMPUTING MACHINERY AND INTELLIGENCE
  A.M.Turing
  [paper]

    </ul>

Research and Writing

• The Craft of Research
  Wayne C. Booth, Gregory G. Colomb, Joseph M. Williams
  [link]

• Mathematical Writing
  Donald E. Knuth, Tracy Larrabee, and Paul M. Roberts
  [paper]

• The Most Common Habits from more than 200 English Papers written by Graduate Chinese Engineering Students
  Felicia Brittman
  [paper]