In this, we will be focusing on Machine learning software engineer.
Ai is the next big thing.

To start with Machine Learning:

1. Learn Python
2. Practice using Google Colab

Take these 2 free courses:

• Introduction to Python Programming (Udacity)
• Machine Learning Crash Course (Google)

If you need a bit more time before diving deeper, finish the following Kaggle tutorials:

• Intro to Machine Learning
• Intermediate Machine Learning

At this point, you are ready to finish your first project: The Titanic Challenge on Kaggle.

If Math is not your strong suit, don't worry. I don't recommend you spend too much time learning Math before writing code. Instead, learn the concepts on-demand: Find what you need when needed.

From here, take the Machine Learning specialization in Coursera. It's more advanced, and it will stretch you out a bit.

The top universities worldwide have published their Machine Learning and Deep Learning classes online. Here are some of them:

• MIT 6.S191 Introduction to Deep Learning
• DS-GA 1008 Deep Learning
• UC Berkeley Full Stack Deep Learning
• UC Berkeley CS 182 Deep Learning
• Cornell Tech CS 5787 Applied Machine Learning

Many different books will help you. The attached image will give you an idea of my favorite ones.

Finally, keep these three ideas in mind:

1. Start by working on solved problems so you can find help whenever you get stuck.

2. ChatGPT will help you make progress. Use it to summarize complex concepts and generate questions you can answer to practice.

3. Find a community on 𝕏 (Twitter) and share your work. Ask questions, and help others.

During this time, you'll deal with a lot. Sometimes, you will feel it's impossible to keep up with everything happening, and you'll be right.

Here are the good news:

Most people understand a tiny fraction of the world of Machine Learning. You don't need more to build a fantastic career in the space.

Focus on finding your path, and Write. More. Code.

That's how you win.

Sent you a pm

Baloranking:
Sent you a pm

hey what's up, I don't have access to that mail you sent a pm

Iamsheye:

hey what's up, I don't have access to that mail you sent a pm

Alright. I just want a more detailed explanation on your article. I would like to venture into software engineering. I have basic knowledge programming. How do I go about it? Free courses or YouTube channel you used. The languages I need to learn.

I’d be glad if you can help.

DevOps Tools
https://youtube.com/shorts/_RMYX2nk92Q?feature=share

Baloranking:


Alright. I just want a more detailed explanation on your article. I would like to venture into software engineering. I have basic knowledge programming. How do I go about it? Free courses or YouTube channel you used. The languages I need to learn.

I’d be glad if you can help.

what article?👀
uhm if you want to get into SWE I'd recommend you learn a programming language like Python, Java or C# then learn small DSA

you could add JavaScript if you'd like to do some things on the web frontend

Baloranking:


Alright. I just want a more detailed explanation on your article. I would like to venture into software engineering. I have basic knowledge programming. How do I go about it? Free courses or YouTube channel you used. The languages I need to learn.

I’d be glad if you can help.

You're quite funny. You're seeing someone replying your messages claiming to be me and you are cool with that😁😂
Anyways DM me on Twitter (now X) so we can connect.

Am @heyabari on X

Baloranking:
Sent you a pm

DM me on Twitter @heyabari

Bloomsbury:


You're quite funny. You're seeing someone replying your messages claiming to be me and you are cool with that😁😂
Anyways DM me on Twitter (now X) so we can connect.

Am @heyabari on X

Lmao bro I'm 100% not claiming to be you, I just got a PM and decided to quote him on his recent post.
That's all

Bloomsbury:


DM me on Twitter @heyabari

It seems your dm is locked. I tried, not working.

This can not become an alternative to ALX anyway

Machine learning / deep learning is under data science