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Asim Ihsan

Udacity Self-Driving Car Nanodegree


2017-03-26 >> Term 1 Project 3 - Behavioral Cloning Teach a simulated car how to steer using front-camera images

Articles


2014-04-27 >> What effect does the weather have on subway ridership?
2014-02-24 >> PyData London 2014 Writeup
2013-03-06 >> Going Faster with Python (with accompanying presentation)
2012-11-07 >> Discovering Communities in MetaFilter

Talks


2013-05-21 >> Profiling in Python (The Skills Matter eXchange, London, UK)

On the Web


2014-05-30 >> Intro to Data Science interview (Udacity Blog)

Projects


arqinator	Cross-platform restoration of Arq backups. Bit fiddling, Git-like file structure, interact with AWS S3, GCP, SFTP, in Golang.
handytrowel	Scrape news articles, output extracted article text and normalized/processed ngrams. Machine learning, template extraction, and Natural Language Processing (NLP) techniques applied in Java.
tablequeryjs	Use arbitrarily complex textual queries to filter static HTML tables. Written in JavaScript using Jison and Backbone.js.
Fake Startup Guru	Generate text based on the biographies of Startup Weekend judges and mentors. Natural Language Processing (NLP) techniques applied in Google Dart and Python.
masspinger	Monitor many hosts simultaneously using ICMP ECHO_REQUEST pings. Written in C++ using Boost, particularly Boost ASIO.

Online courses I've taken or am taking

Natural Language Processing (Coursera, Columbia University)

Language modelling
Hidden Markov Models (HMM) and tagging problems
Probabilistic Context-Free Grammars (PCFGs) and the parsing problem
Statistical approaches to machine translation
Log-linear models and their application to NLP problems
Unsupervised and semi-supervised learning in NLP.

Using Python, including Cython and NLTK.

Notes (HTML)

Feb 2013 -

Programming Languages (Udacity)

Regular expressions
Lexical analysis
Context-Free Grammars (CFGs)
Parsing
Interpreting
Building a web browser.

Using Python, including ply.

Certificate (PDF)
Notes (HTML)

Dec 2012 - Feb 2013

Social Network Analysis (Coursera, University of Michigan)

Random network models
Network centrality
Community, clustering
Small world network models
Simulations
Contagion, opinion formation
Applications

Using Gephi, R, and Python, including networkx and igraph.

Certificate (PDF)
Notes (HTML)
Final project paper (PDF)

Sep 2012 - Nov 2012

Human-Computer Interaction (Coursera, Stanford)

Needfinding, interviewing
Prototyping
Heuristic evaluation, design heuristics
Mental models, direct manipulation, representation
Visual design, typography, grids
Setting up design studies, in person experiments, web experiments

Using Balsamiq Mockups, Twitter Bootstrap, and Heroku.

Certificate (PDF)
Notes (HTML)

Sep 2012 - Nov 2012

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