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Search - "scikit"
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Two years ago I moved to Dublin with my wife (we met on tour while we were both working in music) as visa laws in the UK didn’t allow me to support the visa of a Russian national on a freelance artists salary.
After we came to Dublin I was playing a lot to pay rent (major rental crisis here), I play(ed) Double Bass which is a physically intensive instrument and through overworking caused a long term injury to my forearm which prevents me playing.
Luckily my wife was able to start working in Community Operations for the big tech companies here (not an amazing job and I want her to be able to stop).
Anyway, I was a bit stuck with what step to take next as my entire career had been driven by the passion to master an art that I was very committed to. It gave me joy and meaning.
I was working as hard as I could with a clear vision but no clear path available to get there, then by chance the opportunity came to study a Higher Diploma qualification in Data Science/Analysis (I have some experience handling music licensing for tech startups and an MA with components in music analysis, which I spun into a narrative). Seemed like a ‘smart’ thing to do to do pick up a ‘respectable’ qualification, if I can’t play any more.
The programme had a strong programming element and I really enjoyed that part. The heavy statistics/algebra element was difficult but as my Python programming improved, I was able to write and utilise codebase to streamline the work, and I started to pull ahead of the class. I put in more and more time to programming and studied personally far beyond the requirements of the programme (scored some of the highest academic grades I’ve ever achieved). I picked up a confident level of Bash, SQL, Cypher (Neo4j), proficiency with libraries like pandas, scikit-learn as well as R things like ggplot. I’m almost at the end of the course now and I’m currently lecturing evening classes at the university as a paid professional, teaching Graph Database theory and implementation of Neo4j using Python. I’m co-writing a thesis on Machine Learning in The Creative Process (with faculty members) to be published by the institute. My confidence in programming grew and grew and with that platform to lift me, I pulled away from the class further and further.
I felt lost for a while, but I’ve found my new passion. I feel the drive to master the craft, the desire to create, to refine and to explore.
I’m going to write a Thesis with a strong focus on programmatic implementation and then try and take a programming related position and build from there. I’m excited to become a professional in this field. It might take time and not be easy, but I’ve already mastered one craft in life to the highest levels of expertise (and tutored it for almost 10 years). I’m 30 now and no expert (yet), but am well beyond beginner. I know how to learn and self study effectively.
The future is exciting and I’ve discovered my new art! (I’m also performing live these days with ‘TidalCycles’! (Haskell pattern syntax for music performance).
Hey all! I’m new on devRant!12 -
Just got accepted as a Tutor. I have to teach PhD students in medical field SciKit package for image processing. Been coding in Python using pandas and numpy for years, but I know jack shit on SciKit.
I applied just for fun and got the position. Now I am fucking terrified.
Meanwhile I rejected a Teaching Assistant position because of this one.6 -
These many Python libs exist for machine learning....
Used only scikit and gensim till now...
Little of theano... -
Python User-
C:\WINDOWS\system32>pip install scikit-image
CMD/Bash-
Collecting scikit-image
Downloading scikit-image(12.6MB)
██████████████████████████████
Collecting numpy
Downloading numpy(1.3MB)
██████████████████████████████
Collecting matplotlib
Downloading matplotlib(1.3KB)
██████████████████████████████
Collecting decorator
Downloading decorator(6.8MB)
██████████████████████████████
Collecting imageio
Downloading imageio(3.6MB)
██████████████████████████████
Collecting cycler
Downloading cycler(2.9MB)
██████████████████████████████
Installing collected packages cycler, imageio, decorator, matplotlib, numpy, scikit-image
Successfully installed cycler, imageio, decorator, matplotlib, numpy
Failed to load DLL of scikit-image.
C:\WINDOWS\system32>2 -
Love having ssh access to lab computers. Running a grid search with 15 folds for 468 candidates. Let's see how long this takes...
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I am trying to decompose a 3D matrix using python library scikit-tensor. I managed to decompose my Tensor (with dimensions 100x50x5) into three matrices. My question is how can I compose the initial matrix again using the decomposed matrix produced with Tensor factorization? I want to check if the decomposition has any meaning. My code is the following:
import logging
from scipy.io.matlab import loadmat
from sktensor import dtensor, cp_als
import numpy as np
//Set logging to DEBUG to see CP-ALS information
logging.basicConfig(level=logging.DEBUG)
T = np.ones((400, 50))
T = dtensor(T)
P, fit, itr, exectimes = cp_als(T, 10, init='random')
// how can I re-compose the Matrix T? TA = np.dot(P.U[0], P.U[1].T)
I am using the canonical decomposition as provided from the scikit-tensor library function cp_als. Also what is the expected dimensionality of the decomposed matrices.1