machinereadings.org

Machine Readings: Text Analysis for the Information Age

Machine Readings: Text Analysis for the Information Age. ENGL 55 / MATH 5. Time: at the 12 hour. Location: Kemeny Hall 201. Office Hours: Kemeny 333, by appointment (email allen.riddell). This course welcomes students from a diversity of academic backgrounds. Students are expected to be familiar with algebra at the level of Math 1 or Math 2. No prior experience with computer programming is required for this course. An Introduction to Probability and Inductive Logic. Cambridge University Press, 2001.

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Machine Readings: Text Analysis for the Information Age | machinereadings.org Reviews

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Machine Readings: Text Analysis for the Information Age. ENGL 55 / MATH 5. Time: at the 12 hour. Location: Kemeny Hall 201. Office Hours: Kemeny 333, by appointment (email allen.riddell). This course welcomes students from a diversity of academic backgrounds. Students are expected to be familiar with algebra at the level of Math 1 or Math 2. No prior experience with computer programming is required for this course. An Introduction to Probability and Inductive Logic. Cambridge University Press, 2001.

<META> KEYWORDS

1 calendar

2 discussion

3 instructor allen riddell

4 prerequisites

5 required texts

6 hacking ian

7 moretti franco

8 ulrich laurel

9 the python tutorial

10 lutz mark

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Machine Readings: Text Analysis for the Information Age | machinereadings.org Reviews

https://machinereadings.org

Machine Readings: Text Analysis for the Information Age. ENGL 55 / MATH 5. Time: at the 12 hour. Location: Kemeny Hall 201. Office Hours: Kemeny 333, by appointment (email allen.riddell). This course welcomes students from a diversity of academic backgrounds. Students are expected to be familiar with algebra at the level of Math 1 or Math 2. No prior experience with computer programming is required for this course. An Introduction to Probability and Inductive Logic. Cambridge University Press, 2001.

INTERNAL PAGES

machinereadings.org

1

Lab 8: Clustering

https://machinereadings.org/pages/lab-8-clustering.html

General instructions: Pick a set of a problems. Submit a single plain text file to https:/ submit.machinereadings.org. Make sure that "lab" and one of your assignment tokens appears at the top of the file. If you are using the IPython Notebook you can save your work with the menu item "File Download as Python (.py)". If you have never used Numpy before, read the section "Numpy basics" at the bottom of the page. Plot the vectors $(40, -74)$ and $(42, -71)$ in the plane using the matplotlib function. Find ...

2

Lab 1

https://machinereadings.org/pages/lab-1.html

Agenda: Familiarize yourself with the computing environment. Practice using Python's basic data types. General instructions: Pick a set of a problems. Submit a single plain text file to https:/ submit.machinereadings.org. Make sure that the word "lab" and one of your assignment tokens appears. If you are using the IPython Notebook you can save your work with the menu item "File Download as Python (.py)". Loops have the following form:. You may create a list of. Numbers (starting with 0) with. Strings can...

3

Lab 4: Visualization in Python

https://machinereadings.org/pages/lab-4-visualization-in-python.html

Lab 4: Visualization in Python. Agenda: Practice visualizing trends in word frequencies. General instructions: Pick a set of a problems. Submit a single plain text file to https:/ submit.machinereadings.org/. Make sure that "lab", the lab number, and one of your assignment tokens appears in the file. If you are using the IPython Notebook you can save your work with the menu item "File Download as Python (.py)". Please take a moment to skim over the official matplotlib tutorial. Load the State of the Unio...

4

Lab 3: Functions

https://machinereadings.org/pages/lab-3-functions.html

Agenda: Practice using functions. General instructions: Pick a set of a problems. Submit a single plain text file to https:/ submit.machinereadings.org/. Make sure that "lab" and one of your assignment tokens appears in the file. If you are using the IPython Notebook you can save your work with the menu item "File Download as Python (.py)". List comprehensions provide a shorthand for. Another example of using list comprehensions would be:. Which is equivalent to. Here', 'a', 'the', 'green']. Here', 'the'...

5

Lab 5: Splitting and merging

https://machinereadings.org/pages/lab-5-splitting-and-merging.html

Lab 5: Splitting and merging. General instructions: Pick a set of a problems. Submit a single plain text file to https:/ submit.machinereadings.org. Make sure that "lab" and one of your assignment tokens appears in the file. If you are using the IPython Notebook you save your work with the menu item "File Download as Python (.py)". This is a take-home lab. Work for no more than an hour.). You will work with a corpus of women crime novelists that was used to study the style of Robert Galbraith's. If you p...

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Machine Readings: Text Analysis for the Information Age

Machine Readings: Text Analysis for the Information Age. ENGL 55 / MATH 5. Time: at the 12 hour. Location: Kemeny Hall 201. Office Hours: Kemeny 333, by appointment (email allen.riddell). This course welcomes students from a diversity of academic backgrounds. Students are expected to be familiar with algebra at the level of Math 1 or Math 2. No prior experience with computer programming is required for this course. An Introduction to Probability and Inductive Logic. Cambridge University Press, 2001.

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