Presidential_elections_visualisations
As I’ve said last time we’re going to do some visualization exercises by using matplotlib animation and some custom made charts.
Posts by Category
application
Getting data of an election
Getting data of an election
The story of a name
The problem
Monitoring media for terrorisim with ai
Goal: SIGINT (i.e. Signals Inteligence)
applications
Building an ai mechanical nose
Working with cool projects
course ml
Cluj ml enthusiasts
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...
Cluj Napoca machine learning course
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.
machine translation
Tutorial on machine translation
import pandas as pd import numpy as np
scikit-learn
Scikit Learn
Today we will be talking about predicting house prices using Scikit-learn
tutorial
Replicating_a_famous_optmisation_gif
There is this chart from Alec Radford that became quite famous for showing a comparative run between different optimizers.
Teacher forcing
Training an RNN with teacher forcing. 20200608182759
On cross entropy
Cross entropy can be used to define a loss function in machine learning and is usually used when training a classification problem.
Tutorial on machine translation
import pandas as pd import numpy as np
Embeddings explained
Intuition
Beating mnist
Summary
Scikit Learn
Today we will be talking about predicting house prices using Scikit-learn
visualisation
Presidential_elections_visualisations
As I’ve said last time we’re going to do some visualization exercises by using matplotlib animation and some custom made charts.