hoaphumanoid

7 ms·

31.
by hoaphumanoid 9y ago
The design of the blog is open source, here you have the code: https://github.com/miguelgfierro/sciblog
32.
How to deploy a Deep Learning API for image classification(miguelgfierro.com)
2 points by hoaphumanoid 9y ago|2 comments
33.
The Sorcerer's Apprentice(miguelgfierro.com)
1 points by hoaphumanoid 10y ago|0 comments
34.
Quick start guide to transfer learning for lung cancer detection(blogs.technet.microsoft.com)
1 points by hoaphumanoid 10y ago|0 comments
35.
Text Classification with Convolutional Neural Nets at Character Level(blogs.technet.microsoft.com)
7 points by hoaphumanoid 10y ago|0 comments
36.
A quick start to cancer image classification with deep learning library CNTK(kaggle.com)
2 points by hoaphumanoid 10y ago|0 comments
37.
A gentle introduction to text classification and sentiment analysis(miguelgfierro.com)
26 points by hoaphumanoid 10y ago|1 comments
38.
Learnings from machine learning conference NIPS 2016(miguelgfierro.com)
2 points by hoaphumanoid 10y ago|0 comments
39.
Introduction to Natural Language Processing with FastText(github.com)
2 points by hoaphumanoid 10y ago|0 comments
40.
Microsoft dataset aims to help researchers create tools to answer questions(blogs.microsoft.com)
3 points by hoaphumanoid 10y ago|0 comments
41.
How to Develop a Data Science Project Using the Lean Startup Method(miguelgfierro.com)
16 points by hoaphumanoid 10y ago|0 comments
42.
Visualization of UEFA Champions League Matches in Data Science(github.com)
2 points by hoaphumanoid 10y ago|0 comments
43.
Training Deep Neural Nets on ImageNet Using Microsoft R Server and Azure GPU VMs(blogs.technet.microsoft.com)
2 points by hoaphumanoid 10y ago|0 comments
44.
A gentle introduction to convolutional neural networks(miguelgfierro.com)
2 points by hoaphumanoid 10y ago|0 comments
45.
Tutorial: Intro to Convolutional Neural Nets(github.com)
2 points by hoaphumanoid 10y ago|0 comments
46.
Building Deep Neural Nets in the Cloud with Azure GPU VMs, MXNet and R Server(blogs.technet.microsoft.com)
3 points by hoaphumanoid 10y ago|0 comments
47.
Faster way to trim a long character vector in R(stackoverflow.com)
1 points by hoaphumanoid 10y ago|0 comments
48.
Representing numbers as 8 bit objects in R(stackoverflow.com)
1 points by hoaphumanoid 10y ago|0 comments
49.
Deep Learning Tools for Microsoft's Data Science Virtual Machine(github.com)
4 points by hoaphumanoid 10y ago|0 comments
50.
When to Use Deep Learning in a Data Science Problem(miguelgfierro.com)
1 points by hoaphumanoid 10y ago|0 comments
51.
How human intelligence works and why that makes us racists(miguelgfierro.com)
2 points by hoaphumanoid 10y ago|0 comments
52.
How human intelligence works and why that make us racists(miguelgfierro.com)
2 points by hoaphumanoid 10y ago|0 comments
53.
by hoaphumanoid 10y ago
I believe that the best way to learn ML is by first learning to program the algorithms and then learning the math. This is the opposite to what people is used to do, but I think it's better. The reason is because programming ML is easy
54.
A Gentle Introduction to the Basics of Machine Learning(miguelgfierro.com)
7 points by hoaphumanoid 10y ago|2 comments
55.
by hoaphumanoid 10y ago
Hehehe yes I'm a little geek ;-) the code is on github if you want it
56.
Lessons learned about marketing while building a startup(miguelgfierro.com)
3 points by hoaphumanoid 10y ago|2 comments
57.
The growth of Artificial Intelligence in the new economy(miguelgfierro.com)
1 points by hoaphumanoid 11y ago|0 comments
58.
Is it possible for a robot to have emotions?(miguelgfierro.com)
1 points by hoaphumanoid 11y ago|0 comments
59.
Why math is so important in everyone's life(miguelgfierro.com)
2 points by hoaphumanoid 11y ago|0 comments
60.
by hoaphumanoid 11y ago
Too much TV

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