Finding substrings in a numpy vectorized function
Hide 10 needles in the haystack
Hide 10 needles in the haystack
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#ml #gridsearch #visualisation #dendogram
#engineering #python
#statistic #statistics #statistical
#ml #optimisation
#romanian #pilon-ii #pensii-private
#ml #dl #nlp
On HackerNews there was a topic discussed at some point about ways to distil knowledge from a complex (almost black box) large tree ensemble (a RandomForest ...
It is sometimes useful to be able to convert a decision tree into and actual useful code snippet. This notebook shows how you’d go around to achieve this.
#ml #dl #face #detection #image #processing
#learning #teaching
#dl #ml #computer #vision #image #processing #face #recognition #deep-fakes
There is this chart from Alec Radford that became quite famous for showing a comparative run between different optimizers.
Training an RNN with teacher forcing. 20200608182759
Working with cool projects
This is an opinionated presentation where I talk about what are the beginner tools that you need to know, when you want to start doing machine learning.
Cross entropy can be used to define a loss function in machine learning and is usually used when training a classification problem.
import pandas as pd import numpy as np
As I’ve said last time we’re going to do some visualization exercises by using matplotlib animation and some custom made charts.
Getting data of an election
My last post received quite some responses, but before actually settling on the curricula of the upcoming ML course, I’ve decided to “eat my own lunch” and u...
As I’ve said in my last talk at Cluj.AI (the one about Building a recommender system I’m putting together a local course about machine learning.
Building a recommender system
The problem
Intuition
Goal: SIGINT (i.e. Signals Inteligence)
Summary
Mean Shift Clustering
Today we will be talking about predicting house prices using Scikit-learn