Welcome to your complete guide for embarking on your machine learning (ML) and artificial intelligence (AI) journey in 2024! Learning these vital technologies can seem daunting, especially for those without a programming or math background. Fear not! This guide equips you with all the free resources you need to start and improve your skills without breaking the bank.

Table of Contents

• Start with short YouTube video introductions
• Follow free online courses on YouTube
• Read articles
• Read books
• No math background for ML? Check this out!
• No coding background, no problem
• Follow online courses
• Practice, practice, and practice!
• Want to build language models/apps? Check this out!
• More resources (Communities, cheat sheets, news)
• How to find a machine learning job
• AI Ethics

Start with Short YouTube Video Introductions

One of the best ways to grasp the essentials of machine learning is through short video introductions. Here are some recommended playlists:

• Learn the basics in a minute – Louis Bouchard
• Neural Networks Demystified – Welch Labs
• Building Micrograd by Andrej Karpathy
• NLP and Large Language Models – Luis Serrano

Follow Free Online Courses on YouTube

Some fantastic online courses are available on YouTube, all for free! Here’s a selection:

• Introduction to Machine Learning – Stanford
• Introduction to Deep Learning – MIT

Read Articles

There’s a treasure trove of free articles online covering a wide range of topics in machine learning. Here are some well-regarded pieces:

• 5 Beginner Friendly Steps to Learn Machine Learning and Data Science with Python
• What is Machine Learning?

Read Books

If you prefer deep dives, these books can provide robust insights:

• Deep Learning Book (Free Online)
• Dive into Deep Learning (Free Online)

No Math Background for ML? Check This Out!

Math isn’t as intimidating as it sounds! You can build your skills using:

• Linear Algebra – Khan Academy
• Statistics and Probability – Khan Academy

No Coding Background, No Problem!

Learning programming is essential for machine learning. Start with these resources:

• Learn Python – Free Interactive Tutorial
• Practical Machine Learning Tutorial with Python

(Optional) Follow Online Courses

If structured learning is your style, consider these online courses:

• Intro to Machine Learning – Kaggle (Free)
• CS50’s Introduction to Artificial Intelligence with Python (Free)

Practice, Practice, and Practice!

The road to mastery is paved with practice. Utilize platforms like Kaggle for competitions, tutorials, and community interactions.

Want to Build Language Models/Apps? Check This Out!

For those inclined toward natural language processing, explore:

• Hugging Face for modern NLP models
• NLTK Book (Free)

More Resources

Join communities to stay connected!

• AI Enthusiasts Discord Server
• MachineLearning Subreddit

How to Find a Machine Learning Job

Prepare yourself by reading articles and watching interview tips. Explore the journey of successful applicants through interview series featuring industry professionals.

AI Ethics

It’s important to consider ethics in AI. Start here:

• What are Ethics and Why do they Matter? – Rachel Thomas
• AI4People Ethical Framework

Troubleshooting

Having challenges keeping track of resources? Consider organizing them in a spreadsheet for easy access. If you feel overwhelmed, remember that repetition is key to learning. Don’t hesitate to revisit materials. For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

Now that you have your roadmap to becoming a Machine Learning expert, dive into those resources and start your exciting journey!