Introduction

It's rare to have a relatively complete machine learning and data analysis team in the company, along with a comprehensive set of resources and pipelines. Taking advantage of this opportunity, I can learn about data science while also seeking help from colleagues if there are any areas I don't understand. The field of data science is vast, and currently, there is no clear direction. So, let's learn and explore simultaneously to see what sparks we can ignite. Embrace the slash!

Plan

• Piece together the missing puzzle from university statistics course (2 weeks)

  • Distributions and various testing methods
  • R: Learn while reviewing

• Review linear algebra (3 weeks)

  • I've completely forgotten everything

• Review Andrew Ng's machine learning course (1 week)

  • I took this course using Octave, but the concepts should be similar

• Complete Coursera's Deep Learning Specialization (6 weeks)

• Finish reading the data science books I previously purchased (3 weeks)

• Follow the progress of fast.ai and simultaneously delve into research papers

  • I previously completed chapters 1 to 4, but I've forgotten everything

• Data engineering

  • Airflow
  • Kafka
  • Personally interested in learning these two

This should take approximately 100 days. Maybe I'll also take some data analysis-related courses to further enhance my skills. Currently, it seems that machine learning and deep learning are dominant. In any case, I'll record what I've come up with here to avoid forgetting.

Goals

The main objective is to explore the exciting aspects of integrating front-end development with data science, such as working with ml.js or tensorflow.js, which seem fascinating.

Additionally, many of my ideas require the assistance of data science, so I'll take advantage of the current availability of time to supplement my knowledge in this area. My previous notes were scattered all over the place and are almost impossible to find now. Moreover, I've forgotten a large portion of what I learned. This time, I will make sure to document everything properly on my blog.