Akshay 🚀 Profile picture
May 15 9 tweets 4 min read Twitter logo Read on Twitter
Don't pay ridiculous amount of money to learn Python, Machine Learning, Data Science & LLMs!

The likes of Google, Microsoft & Top universities like Harvard, Stanford & MIT are offering these for FREE 🙌

A Thread 🧵👇
1️⃣ Harvard's CS50p: Intro to Python

If you are new to programming and just getting started.

There isn't a better place to learn #Python than @davidjmalan 's CS50p.

Beautiful explanations and great projects.
It's a complete package.

Check this out 👇
cs50.harvard.edu/python/2022/
2️⃣ MIT 6.S191: Intro to Deep Learning

Check this out👇
introtodeeplearning.com
3️⃣ Cornell Tech CS 5787

Applied Machine Learning course.

Check this out 👇
cornelltech.github.io/cs5785-fall-20…
4️⃣ Google Data Analytics Certificate

A hands-on & structured program to get into Data Analytics.

All the courses are FREE!!

Check this out👇
grow.google/intl/en_in/dat…
5️⃣ Stanford's Machine Learning Specialisation

Offered for FREE via coursera.

Tested by time & taken by millions, arguably the best place to get started with ML.

Check this out👇
coursera.org/specialization…
6️⃣ Microsoft Certified: Data Scientist Associate

Learn everything from exploring data, training ML models, implementing pipelines & building scalable ML solutions.

Check this out👇
learn.microsoft.com/en-us/certific…
7️⃣ UC Berkley: Full stack LLM Bootcamp

Building an AI-powered product is much more than just training a model or writing a prompt.

The best resource to start building on LLMs! 🔥

Check this out👇
fullstackdeeplearning.com/llm-bootcamp/
That's a wrap!

If you interested in:

- Python 🐍
- Data Science 📈
- Machine Learning 🤖
- Maths for ML 🧮
- MLOps 🛠
- CV/NLP 🗣
- LLMs 🧠

Find me → @akshay_pachaar ✔️
Everyday, I share tutorials on above topics!

Check one of my older threads👇

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More from @akshay_pachaar

May 17
I have been coding in Python for 8 years now. ⏳

Here's a roadmap to Master Python! 🚀

A Thread 🧵👇
1️⃣ freeCodeCamp

4 hours Python bootcamp!!

What you'll learn:
- Installing Python
- Setting up an IDE
- Basics Syntax
- Variables & Datatypes
- Looping in Python
- Exception handling
- Modules & pip
- Mini hands-on projects 🔥

Check this out 👇
2️⃣ CS50p: Harvard University

There isn't a better place to learn #Python than @davidjmalan 's CS50p.

Beautiful explanations and great projects.
It's a complete package.

Highly recommended!!

Check this out 👇
cs50.harvard.edu/python/2022/
Read 6 tweets
May 14
I've been working remotely for more than 3 years ⏳

Participating in high-quality webinars has helped me to stay abreast of the latest advancements in tech.

Recently, I attended AbacuaAI's LLMOps & AI Agents webinar.

Some of the key takeaways 🧵👇 Image
Building a custom ChatGPT 🔥

ChatGPT has 2 limitations:
- Limited context (32k < tokens)
- Not aware of custom knowledge base

AbacusAI's ChatLLM solves this & can be fine-tuned on:

- Larger context
- Internal wiki pages/docs
- Code 🔥

Read more👇
🔗 abacus.ai/chat_llm Image
Impressed with AutoGPT ⁉️

Well, now you can create your own AI agents using @abacusai 🚀

AI agents can perform any task by chaining user code, data transforms, models, and prompts.

Read more👇
🔗 abacus.ai/ai_agents Image
Read 4 tweets
May 13
LLMs are revolutionizing the AI world, and attention is everywhere!

Today, I'll clearly explain how self-attention works! 🚀

A Thread 🧵👇 Image
Computer are good with number❗️

In NLP we convert the sequence of words into token & then token to embeddings.

You can think of embedding as a meaningful representation of each token using a bunch of numbers.

Check this out 👇 Image
Now, for a language model to perform at a human level, it's not sufficient for it to process these tokens independently.

It's also important to understand the relationship between them!

Check this 👇 Image
Read 9 tweets
May 12
Did you know that Data Science helped in winning WWII❓

A tale of Survivorship Bias!

🧵 1/10 Image
During WWII, the problem of aircraft returning from missions riddled with bullet holes was a major concern.

The popular belief was to add armor to the most impacted areas.

However, Abraham Wald, a mathematician, had a different idea!💡

🧵 2/10
Wald was part of the Statistical Research Group (SRG) during the war.

A team brought together to solve wartime problems.

His insights led to a profound understanding of the concept we now know as Survivorship Bias.

🧵 3/10
Read 10 tweets
May 11
PCA from scratch using Python 🔥

Principal Component Analysis is a powerful technique for dimensionality reduction and data visualisation.

-- step by step explanation with code --

A Thread 🧵👇 Image
We'll use wine_dataset which has 13 features (dimensions) originally!!

Check this out 👇 Image
Let's apply PCA on the above data!

Check this out 👇 Image
Read 5 tweets
May 11
I started my career in Data Science back in 2016 ⏳

Here's a list of Tech YouTube Channels I've ardently followed!! ✅

A Thread 🧵👇
1️⃣ Corey Schafer

Arguably the best python channel on YouTube 🔥

I have personally learned a lot from him ✅

Check this out 👇
youtube.com/@coreyms
2️⃣ Andrej Karpathy

He's not only a pioneer but the best teacher in the world of AI.

If you are interested in LLMs, his is latest series on makemore is something you don't want to miss.

Check this out👇
youtube.com/c/AndrejKarpat…
Read 12 tweets

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