Artificial Intelligence
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๐Ÿ”ฐ Machine Learning & Artificial Intelligence Free Resources

๐Ÿ”ฐ Learn Data Science, Deep Learning, Python with Tensorflow, Keras & many more

For Promotions: @love_data
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Here are five of the most commonly used SQL queries in data science:

1. SELECT and FROM Clauses
- Basic data retrieval: SELECT column1, column2 FROM table_name;

2. WHERE Clause
- Filtering data: SELECT * FROM table_name WHERE condition;

3. GROUP BY and Aggregate Functions
- Summarizing data: SELECT column1, COUNT(*), AVG(column2) FROM table_name GROUP BY column1;

4. JOIN Operations
- Combining data from multiple tables:

     SELECT a.column1, b.column2
FROM table1 a
JOIN table2 b ON a.common_column = b.common_column;

5. Subqueries and Nested Queries
- Advanced data retrieval:

     SELECT column1
FROM table_name
WHERE column2 IN (SELECT column2 FROM another_table WHERE condition);

Here you can find essential SQL Interview Resources๐Ÿ‘‡
https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v

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Hope it helps :)
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> How do you start AI and ML ?

Where do you go to learn these skills? What courses are the best?

Thereโ€™s no best answer๐Ÿฅบ. Everyoneโ€™s path will be different. Some people learn better with books, others learn better through videos.

Whatโ€™s more important than how you start is why you start.

Start with why.

Why do you want to learn these skills?
Do you want to make money?
Do you want to build things?
Do you want to make a difference?
Again, no right reason. All are valid in their own way.

Start with why because having a why is more important than how. Having a why means when it gets hard and it will get hard, youโ€™ve got something to turn to. Something to remind you why you started.

Got a why? Good. Time for some hard skills.

I can only recommend what Iโ€™ve tried every week new course lauch better than others its difficult to recommend any course

You can completed courses from (in order):

Treehouse / youtube( free) - Introduction to Python

Udacity - Deep Learning & AI Nanodegree

fast.ai - Part 1and Part 2

Theyโ€™re all world class. Iโ€™m a visual learner. I learn better seeing things being done/explained to me on. So all of these courses reflect that.

If youโ€™re an absolute beginner, start with some introductory Python courses and when youโ€™re a bit more confident, move into data science, machine learning and AI.

AI Resources: https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E

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All the best ๐Ÿ‘๐Ÿ‘
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๐Ÿ† โ€“ AI/ML Engineer

Stage 1 โ€“ Python Basics
Stage 2 โ€“ Statistics & Probability
Stage 3 โ€“ Linear Algebra & Calculus
Stage 4 โ€“ Data Preprocessing
Stage 5 โ€“ Exploratory Data Analysis (EDA)
Stage 6 โ€“ Supervised Learning
Stage 7 โ€“ Unsupervised Learning
Stage 8 โ€“ Feature Engineering
Stage 9 โ€“ Model Evaluation & Tuning
Stage 10 โ€“ Deep Learning Basics
Stage 11 โ€“ Neural Networks & CNNs
Stage 12 โ€“ RNNs & LSTMs
Stage 13 โ€“ NLP Fundamentals
Stage 14 โ€“ Deployment (Flask, Docker)
Stage 15 โ€“ Build projects
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DeepSeek is one of the most powerful AI tool right now.

But almost no one knows how to use it for learning.

Here's a complete cheatsheet to master any topic, skill or subject in minutes with DeepSeek for free:

(Save this cheatsheet and get started)

Let me show you how to use it:

โž Act as a [ROLE]
Tell DeepSeek to be your tutor, essay reviewer, exam question generator, or even a debate coach.

โž Show as [FORMAT]
Get responses as bullet points, mind maps, real-life case studies, or even Socratic Q&A.

โž Set Restrictions
Force DeepSeek to use only academic sources, explain in 100 words, or simplify for a 10-year-old.

โž Create a [TASK]
Ask for a study guide, flashcards, research summaries or critical thinking questions.

Example Prompt:
"Act as an experienced professor in physics. Create a structured study plan for quantum mechanics covering 4 weeks. Provide essay openings, simplify explanations for a 10-year-old & include real-world applications."

Use this, and youโ€™ll learn anything 10x faster.
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Important Pandas Methods for Machine Learning
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Want to become an Agent AI Expert in 2025?

๐ŸคฉAI isnโ€™t just evolvingโ€”itโ€™s transforming industries. And agentic AI is leading the charge!

Hereโ€™s your 6-step guide to mastering it:

1๏ธโƒฃ Master AI Fundamentals โ€“ Python, TensorFlow & PyTorch ๐Ÿ“Š
2๏ธโƒฃ Understand Agentic Systems โ€“ Learn reinforcement learning ๐Ÿง 
3๏ธโƒฃ Get Hands-On with Projects โ€“ OpenAI Gym & Rasa ๐Ÿ”
4๏ธโƒฃ Learn Prompt Engineering โ€“ Tools like ChatGPT & LangChain โš™๏ธ
5๏ธโƒฃ Stay Updated โ€“ Follow Arxiv, GitHub & AI newsletters ๐Ÿ“ฐ
6๏ธโƒฃ Join AI Communities โ€“ Engage in forums like Reddit & Discord ๐ŸŒ

๐ŸŽฏ AI Agent is all about creating intelligent systems that can make decisions autonomouslyโ€”perfect for businesses aiming to scale with minimal human intervention.
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78 Terms to master AI
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Ai youtube channels ๐Ÿ‘†
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LLM Project Ideas ๐Ÿ‘†
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What AI Actually is ๐Ÿ‘†
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TensorFlow v2.0 Cheat Sheet

#TensorFlow is an open-source software library for highperformance numerical computation. Its flexible architecture enables to easily deploy computation across a variety of platforms (CPUs, GPUs, and TPUs), as well as mobile and edge devices, desktops, and clusters of servers. TensorFlow comes with strong support for machine learning and deep learning.

#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras
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๐Ÿ”ฅ MIT has updated its famous course 6.S191: Introduction to Deep Learning.

The program covers topics of #NLP, #CV, #LLM and the use of technology in medicine, offering a full cycle of training - from theory to practical classes using current versions of libraries.

The course is designed even for beginners: if you know how to take derivatives and multiply matrices, everything else will be explained in the process.

The lectures are released for free on YouTube and the #MIT platform on Mondays, with the first one already available
.

All slides, #code and additional materials can be found at the link provided.

๐Ÿ“Œ Fresh lecture : https://youtu.be/alfdI7S6wCY?si=6682DD2LlFwmghew

#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence
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๐Ÿ”‰ ๐Œ๐ฎ๐ฌ๐ญ-๐–๐š๐ญ๐œ๐ก ๐€๐ˆ ๐“๐ž๐ ๐“๐š๐ฅ๐ค๐ฌ

โฉ The inside story of ChatGPT's astonishing potential by Greg Brockman. https://youtu.be/C_78DM8fG6E?si=kdGNA1PvO1lb7L8t

โฉ How AI could save (not destroy) education by Sal Khan
https://youtu.be/hJP5GqnTrNo?si=wlD-SOjr5ZxLQ0vQ

โฉ How to keep AI under control by Max Tegmark
https://youtu.be/xUNx_PxNHrY?si=e8JDz9up3IRYmBo5

โฉ How to think computationally about AI, the universe, and everything by Stephen Wolfram
https://youtu.be/fLMZAHyrpyo?si=5O1b63qgga89rEOb

โฉ The dark side of competition in AI by Liv Boeree
https://youtu.be/WX_vN1QYgmE?si=QDMlKkrxqrSCdFkr

โฉ How AI art could enhance humanity's collective memory by Refik Anadol
https://youtu.be/iz7diOuaTos?si=iyQOF20jZp78hfo2

โฉ Why AI is incredibly smart and shockingly stupid by Yejin Choil
https://youtu.be/SvBR0OGT5VI?si=rLhDzmohC_dPfrtM

โฉ Will superintelligent AI end the world by Eliezer Yudkowsky
https://youtu.be/Yd0yQ9yxSYY?si=JqN2yNgP0IOTnjN1

#ai
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