The most productive summer ever.


Hello everyone! My name is Elzhan, and I’m a freshman computer science student at Nazarbayev University. Today I’m going to start sharing my progress (as a short reports) in the field of Computer science. As a short prehistory, I and my study partner are going to make research with our computer science professor and additionally we got an internship in BTS digital as a back-end developer. This story is going to be updated every day with daily reports.

Here is to-do list:

TODO:
Deep learning:
[In Process] Artificial Neural Network (ANN)
Recurrent Neural Network (RNN)
Convolutional Neural Network (CNN)
Self-organizing map (SOM)
Boltzmann's machine
  Machine learning:
[DONE] Linear regression
[DONE] Logistic regression
Polynomial regression
KNN
Support Vector regression
Decision Tree regression
Random forest regression
Support Vector machine
Kernel Support Vector machine
Naive Bayes
Decision tree classification
Random forest classification
K-means clustering
Hierarchical clustering
Association rule learning
Apriori
Euclat
Upper confidence bound
Thompson sampling
Natural language processing
  Courses:
Udemy:
[In process] Deep learning from A-Z
Coursera:
[In process] Linear algebra for machine learning
Multivariate calculus
Principal component analysis
Udacity:
[In process] Descriptive statistics
  Preparation for the next-year internship:
Searching for opportunities
Data structures
Algorithmic complexity
Bitwise opearations
Trees
Sorting
Graphs
Cracking the coding interview
LeetCode
Prepare Linkedin prfile
  Telegram bot
  Python beautiful soup
  Frontend:
Ajax
Javascript
  Back-end:
[In Process] Flask
SQL
Django
  Internship BTS digital:
Back-end development
Machine learning engineer

This post is mostly for me and is aimed to help keeping the progress.

Source: Deep Learning on Medium