eggie5

20 ms·

1. 211.▲
   by eggie5 9y ago

   yes, it's an inference engine that runs pre-built architectures. why would you want to train on the device?
2. 212.▲
   by eggie5 9y ago

   Apple's new iOS CoreML inference engine supports Keras models! Developers will be able to design and train model using Keras and then convert the architecture to run on the CoreML engine. I suppose you can run TensorFlow models too if
3. 213.▲
   by eggie5 9y ago

   I know the team, great group!
4. 214.▲
   by eggie5 9y ago

   of course more data is always better, but there are plenty of flexible models that can learn form small data, so just try the lending club data and if your model isn't learning anything choose a more flexible one...
5. 215.▲
   by eggie5 9y ago

   Apple has a big problem w this in their personalized app store ranking (recommender system) -- people gaming it.
6. 216.▲
   Binomial Distribution(eggie5.com)

   1 points by eggie5 9y ago|0 comments
7. 217.▲
   Feature Selection in Machine Learning(eggie5.com)

   1 points by eggie5 9y ago|0 comments
8. 218.▲
   SGD vs. ALS for Matrix Factorization(eggie5.com)

   1 points by eggie5 9y ago|0 comments
9. 219.▲
   by eggie5 9y ago

   work
10. 220.▲
    by eggie5 9y ago

    Cracking the coding interview will get you a job at any tech company for pretty much any position.
11. 221.▲
    by eggie5 9y ago

    hedge fund
12. 222.▲
    by eggie5 9y ago

    u talking about automl, the scikit extension?
13. 223.▲
    by eggie5 9y ago

    past loan performance data
14. 224.▲
    by eggie5 9y ago

    Recommender system using visual features
15. 225.▲
    by eggie5 9y ago

    Forecast loan payment defaults for 90 days or longer, 3 months in advance using a tree based model.
16. 226.▲
    by eggie5 9y ago

    haha is that the trick to get on the front page?
17. 227.▲
    by eggie5 9y ago

    Try CockroachDB, the OSS clone of Spanner
18. 228.▲
    by eggie5 9y ago

    Thanks for the analogy. I am now update-to-date w/ 3 years of JS churn :)
19. 229.▲
    by eggie5 9y ago

    Can you elaborate more on how it's not enforceable in NL or provide some reference? Here is an example of a contract from a tech company in NL w/ a noncompete: The Employee shall throughout the duration of this employment contract
20. 230.▲
    by eggie5 9y ago

    still miss prototype js...
21. 231.▲
    by eggie5 9y ago

    I haven't really been following yarn or web pack. Can you give an example of how it changed your life?
22. 232.▲
    by eggie5 9y ago

    Morale is pretty low. Boston consulting group is there now presumably working on restructuring and layoffs. After Jacobs left and Mollenkopf took over a lot was cut, they even closed the Library which peeved a lot of people off. The little
23. 233.▲
    by eggie5 9y ago

    what is Uber going to use instead of Twillio?
24. 234.▲
    by eggie5 9y ago

    Yes, "lacking power in small samples sizes"
25. 235.▲
    by eggie5 9y ago

    You see this a lot in the context of building a regression and often times the assumptions are violated: * Linear relationship between predictor and response and no multicollinearity * No auto-correlation (statistical independence of the er
26. 236.▲
    by eggie5 9y ago

    I've done both VHDL an Verilog extensively in school but not professionally. From my experience verilog was much nicer to use. I designed a complete MIPS pipelined CPU: https://github.com/eggie5/SDSU-COMPE475-SPRIN
27. 237.▲
    Stepwise feature selection in machine learning(eggie5.com)

    1 points by eggie5 9y ago|0 comments
28. 238.▲
    by eggie5 9y ago

    my only comment would be that your TF model will not automatically employ the second GPU. You need to architect your model, using TF routines, to use more than 1 GPU.
29. 239.▲
    by eggie5 9y ago

    according to the talk I just watched, latency/performance was their concern coming out of the gate and was the impetus for writing it in C++...
30. 240.▲
    Linear Regression Assumptions(eggie5.com)

    2 points by eggie5 9y ago|0 comments