Last year, @jesslynnrose and the team at Class Central teamed up to put on a free coding bootcamp.
They used freeCodeCamp, and it was a huge success - so they're doing it again.
Here, she shares how to join the bootcamp, what you'll learn, and more.
https://t.co/ogJ9XDMDko
You can blow everyone's mind on your machine learning interview:
▫️ Pick a problem
▫️ Build a model that solves it
▫️ Build an API around it
▫️ Host it
▫️ Set up monitoring
▫️ Build a retraining pipeline
▫️ Write about it
This will put you on a whole new level.
I get asked a lot how you can improve your skills and chances of getting a job as a developer. Best way is to work on a real-world project, deploy it, make it open-source, get feedback from others, share your knowledge, rinse, repeat.
Here are my top 7 project ideas. Thread 👇
It's early in 2021, and you may have big goals for yourself this year.
Maybe one of those goals is getting a job in tech. So how do you achieve it?
In this article @KenTheRogers explains how making small changes can help you get a dev job this year.
https://t.co/KsXgUDnOtS
CSS Tip🚨
📌user-select: none;
- Prevent text selection on a web page
📌user-select: all;
- Text selection is made with one click instead of a double-click
These days, many people use chat apps to communicate with coworkers, friends, and family.
And it's important that these apps' user interfaces are intuitive, clean, and easy to use.
In this article you'll build a snazzy chat app UI with Flutter and Dart.
https://t.co/82iIcwPZo1
Algorithmic trading uses statistics & math to design & develop trading strategies.
It's a pretty sophisticated area of finance that requires specific skills.
In this article @tyagi_harshit24 shows you how to get started w/ algorithmic trading in Python.
https://t.co/Dn1SLVdp71
Are you looking for a job doing what you love in Python? There are currently over 80 jobs posted on our job board: https://t.co/HfrDboAVbd
If you have a job that our community would be interested in, job postings are free: https://t.co/sF3kfL9Uti
Ready to take your machine learning models into production?
@awscloud offers SageMaker, a fully managed machine learning service that acts as a one-stop-shop for everything you need.
The list of services is impressive:
🧵👇
Do you love writing & tech? Try out technical writing as a career (or just for fun).
You can help open-source projects update their docs, write technical guides, & more.
In this beginner's guide @msamarachukwu shares lots of tips & tech blogging basics.
https://t.co/1RIyqxHOfG
If you want to improve your Python skills, build some projects.
Well, how about 12 different projects, from a basic Madlibs game to a Sudoku solver & more?
In this 3-hour course you'll solidify your Python skills by building increasingly complex stuff.
https://t.co/dPW03Dtb8Z
Having someone else review your code before it goes to production brings many benefits.
And you can get some tips from Google's docs.
In this article @kealanparr shares how Google does code reviews to help you improve your quality assurance practices.
https://t.co/66WNa3ksvz
10 machine learning YouTube videos.
On libraries, algorithms, and tools.
(If you want to start with machine learning, having a comprehensive set of hands-on tutorials you can always refer to is fundamental.)
🧵👇
Recommendation systems are one of the most widely used topics of machine learning used in the industry.
Think Netflix, Amazon, YouTube, Tinder.
Here you have a great dataset to learn:
https://t.co/3oMjRIOyZx
45,000+ movies. 26 million ratings from over 270,000 users.
Rules of Machine Learning: Best Practices for ML Engineering
⚫ understand whether the time is right for building a ML system
⚫ deploy your first pipeline
⚫ launch and iterate, while adding new features, evaluate
⚫ what to do when you reach a plateau
https://t.co/1DnnGNEm1s