jdwittenauer

6 ms·

1.
Deep Learning with Keras: Structured Time Series(johnwittenauer.net)
2 points by jdwittenauer 8y ago|0 comments
2.
A Sampling of Monte Carlo Methods(johnwittenauer.net)
10 points by jdwittenauer 8y ago|0 comments
3.
by jdwittenauer 9y ago
Agree that Impala would fit well on this list. They didn't have any training on it, presumably because it's a Cloudera-led technology, but my understanding is it's very popular. Not sure that it truly replaces Hive/Tez
4.
by jdwittenauer 9y ago
I think the term "Hadoop" is becoming almost meaningless. It seems to now be more of a pointer referencing a basket of distributed processing technologies that run on YARN/HDFS. Agree completely with having multiple technol
5.
How to Learn Hadoop for Free(johnwittenauer.net)
163 points by jdwittenauer 9y ago|13 comments
6.
20 Podcasts Worth Listening To(johnwittenauer.net)
1 points by jdwittenauer 10y ago|1 comments
7.
Visualizing Tweet Vectors Using Python(johnwittenauer.net)
1 points by jdwittenauer 10y ago|0 comments
8.
One Second Every Day(johnwittenauer.net)
3 points by jdwittenauer 10y ago|1 comments
9.
by jdwittenauer 10y ago
I don't see much value in continuing to debate this. You're entitled to your opinion and I respect that, but I do not share your viewpoint.
10.
by jdwittenauer 10y ago
Since you linked to the honor code, can you point to anything in these blog posts that qualifies - in the context of completing the class - as "solutions to homework, quizzes, exams, projects, and other assignments"? Could anythi
11.
by jdwittenauer 10y ago
None of the material in these posts could be used directly to complete assignments for the class. I suppose someone could attempt to "back-port" some of the Python code to Octave, but if you're going to that much trouble it&
12.
Machine Learning Exercises in Python, Part 1(johnwittenauer.net)
520 points by jdwittenauer 10y ago|62 comments
13.
TensorFlow, OpenAI, and the State of Open Source ML(johnwittenauer.net)
4 points by jdwittenauer 11y ago|0 comments