2021 September

Thu, Sep 2, 2021

TOC

2021 September

Machine Learning

Paper

Hacking Tools

Spaced Repetition

Data Science

Emoji

Machine Learning Spreadsheet

Git Search Engine

Github Action

Crowd Generated

Text

Paper Article

Deep Face

Electronics

Weather API

Paper

Whiteboard Sharing

Paper

Search Engine

Graphing Software

Weather Data

Qur'an

Research Proposal

Fourier Transform

Machine Learning

  • The First Rule of Machine Learning: Start without Machine Learning
  • Machine Learning: The High Interest Credit Card of Technical Debt – Google Research So little of success in ML comes from the sexy algorithms and so much just comes from ensuring a bunch of boring details get properly saved in the right place. After months learning about machine learning for time series forecasting, several chapters in a book on deep learning techniques for time series analysis and forecasting, the author kindly pointed out that there are no papers published up to that point that prove deep learning (neural networks) can perform better than classical statistics. Career lesson: Ask a lot of questions early in a project's life. If you're working on something that uses machine learning, ask what system it's replacing, and make sure that someone (or you) runs it manually before spending the time to automate.

Rules of Machine Learning: | ML Universal Guides | Google Developers

CNN

Python

Machine learning

Machine Learning

Cartoon

Article

User Question

Cloud

Summarization

Social Space

Machine Learning

Logic

Machine Learning

Awk

Basic Linux

Note that these suggestions are off the top of my head and surely biased by my own needs.

  1. bash shell basics

    1. Navigating the shell.
    2. Using one of the common editors, such as vim, emacs, or nano. My personal favorite is vim, but that's probably because I've been using it (or its predecessor, vi) longer than most redditors have been alive.
    3. Listing (ls) and deleting (rm) files.
    4. Changing file permissions (chmod).
  2. Using the find command.
  3. Using basic Linux tools in pipelines, such as tr, wc, basename, dirname, etc.
  4. Using awk/gawk. This tool is so incredibly powerful. I use it almost daily.
  5. Using apt. Note that apt-get is the older package manager, and although it's largely compatible with apt, there are some differences.

  6. Programming

    1. Learn the basics of bash shell programming, including conditional statements, looping structures, variables, etc.
    2. Definitely learn python, with a focus on python3.
    3. php: see Web Dev below.
    4. Learning C and/or C++ are desirable too, but you don't need this skill immediately. However, knowing these languages will give you better knowledge for compiling packages and eventually writing your own.

  7. Web servers

    1. You won't go wrong with apache2, but these days, I'm using nginx more often.
    2. Installing SSL/TLS certs.

  8. Networking

    1. Using iptables to configure firewall rules.
    2. Using ip route to configure routes.
Buy me tea or coffee ;)
Written by

Imron Rosyadi

notes of a life