ChatGPT & Free AI Resources

🔟 Free useful resources to learn Machine Learning

👉 Google

https://developers.google.com/machine-learning/crash-course

👉 Leetcode

https://leetcode.com/explore/featured/card/machine-learning-101

👉 Hackerrank

https://www.hackerrank.com/domains/ai/machine-learning

👉 Hands-on Machine Learning

https://t.me/datasciencefun/424

👉 FreeCodeCamp

https://www.freecodecamp.org/learn/machine-learning-with-python/

👉 Machine learning projects

https://t.me/datasciencefun/392

👉 Kaggle

https://www.kaggle.com/learn/intro-to-machine-learning

https://www.kaggle.com/learn/intermediate-machine-learning

👉 Geeksforgeeks

https://www.geeksforgeeks.org/machine-learning/

👉 Create ML Models

https://docs.microsoft.com/en-us/learn/paths/create-machine-learn-models/

👉 Machine Learning Test Cheat Sheet

https://www.cheatography.com/lulu-0012/cheat-sheets/test-ml/pdf/

Join @free4unow_backup for more free resources

ENJOY LEARNING 👍👍

𝗣𝗿𝗲𝗽𝗮𝗿𝗶𝗻𝗴 𝗳𝗼𝗿 𝗧𝗲𝗰𝗵 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀 𝗶𝗻 𝟮𝟬𝟮𝟱? 𝗛𝗲𝗿𝗲’𝘀 𝗬𝗼𝘂𝗿 𝗦𝘁𝗲𝗽-𝗯𝘆-𝗦𝘁𝗲𝗽 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝘁𝗼 𝗖𝗿𝗮𝗰𝗸 𝗣𝗿𝗼𝗱𝘂𝗰𝘁-𝗕𝗮𝘀𝗲𝗱 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀!😍

Landing your dream tech job takes more than just writing code — it requires structured preparation across key areas👨‍💻

This roadmap will guide you from zero to offer letter! 💼🚀

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/3GdfTS2

This plan works if you stay consistent💪✅️

Superintelligence is now in sight.

𝗙𝗿𝗲𝗲 𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗖𝗼𝘂𝗿𝘀𝗲 𝗳𝗼𝗿 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀😍

Want to explore AI & Machine Learning but don’t know where to start — or don’t want to spend ₹₹₹ on it?👨‍💻

Learn the foundations of AI, machine learning basics, data handling, and real-world use cases in just a few hours.📊📌

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/401SWry

This 100% FREE course is designed just for beginners — whether you’re a student, fresher, or career switcher✅️

One of the best use cases of AI: automating meetings and creating notes.

Really don't know anyone who enjoys meetings. AI makes things so much easier here, real world use case.

𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬!🚀💻

Supercharge your career with 5 FREE Microsoft certification courses designed to boost your data analytics skills!

𝐄𝐧𝐫𝐨𝐥𝐥 𝐅𝐨𝐫 𝐅𝐑𝐄𝐄👇 :-

https://bit.ly/3Vlixcq

- Earn certifications to showcase your skills

Don’t wait—start your journey to success today! ✨

Artificial Intelligence with Python
Teik Toe Teoh, 2022

𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 & 𝗟𝗲𝗮𝗱𝗶𝗻𝗴 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗢𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍

Harward :- https://pdlink.in/4kmYOn1

MIT :- https://pdlink.in/45cvR95

HP :- https://pdlink.in/45ci02k

Google :- https://pdlink.in/3YsujTV

Microsoft :- https://pdlink.in/441GCKF

Standford :- https://pdlink.in/3ThPwNw

IIM :- https://pdlink.in/4nfXDrV

Enroll for FREE & Get Certified 🎓

👨‍🎓The Best Courses for AI from Universities with YouTube Playlists

Stanford University Courses
•CS221 - Artificial Intelligence: Principles and Techniques

•CS224U: Natural Language Understanding

•CS224n - Natural Language Processing with Deep Learning

•CS229 - Machine Learning

•CS230 - Deep Learning

•CS231n - Convolutional Neural Networks for Visual Recognition

•CS234 - Reinforcement Learning

•CS330 - Deep Multi-task and Meta-Learning

•CS25 - Transformers United

Carnegie Mellon University Courses
•CS 10-708: Probabilistic Graphical Models

•CS/LTI 11-711: Advanced NLP

•CS/LTI 11-737: Multilingual NLP

•CS/LTI 11-747: Neural Networks for NLP

•CS/LTI 11-785: Introduction to Deep Learning

•CS/LTI 11-785: Neural Networks

Massachusetts Institute of Technology Courses

•Introduction to Algorithms

•Introduction to Deep Learning

•6.S094 - Deep Learning

DeepMind x UCL

•COMP M050 - Introduction to Reinforcement Learning

•Deep Learning Series

𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗔𝗽𝗽𝗿𝗼𝘃𝗲𝗱 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 😍

Whether you’re interested in AI, Data Analytics, Cybersecurity, or Cloud Computing, there’s something here for everyone.

✅ 100% Free Courses
✅ Govt. Incentives on Completion
✅ Self-paced Learning
✅ Certificates to Showcase on LinkedIn & Resume
✅ Mock Assessments to Test Your Skills

𝐋𝐢𝐧𝐤 👇:- 

https://pdlink.in/447coEk

Enroll for FREE & Get Certified 🎓

𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗙𝗥𝗘𝗘 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 ,𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 ,𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 & 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗚𝘂𝗶𝗱𝗲😍

Roadmap:- https://pdlink.in/41c1Kei

Certifications:- https://pdlink.in/3Fq7E4p

Projects:- https://pdlink.in/3ZkXetO

Interview Q/A :- https://pdlink.in/4jLOJ2a

Enroll For FREE & Become a Certified Data Analyst In 2025🎓

7 ChatGPT Prompts To Transform Your Life In Next 30 Days:

[Save for later]

Artificial Intelligence (AI) is the simulation of human intelligence in machines that are designed to think, learn, and make decisions. From virtual assistants to self-driving cars, AI is transforming how we interact with technology.

Hers is the brief A-Z overview of the terms used in Artificial Intelligence World

A - Algorithm: A set of rules or instructions that an AI system follows to solve problems or make decisions.

B - Bias: Prejudice in AI systems due to skewed training data, leading to unfair outcomes.

C - Chatbot: AI software that can hold conversations with users via text or voice.

D - Deep Learning: A type of machine learning using layered neural networks to analyze data and make decisions.

E - Expert System: An AI that replicates the decision-making ability of a human expert in a specific domain.

F - Fine-Tuning: The process of refining a pre-trained model on a specific task or dataset.

G - Generative AI: AI that can create new content like text, images, audio, or code.

H - Heuristic: A rule-of-thumb or shortcut used by AI to make decisions efficiently.

I - Image Recognition: The ability of AI to detect and classify objects or features in an image.

J - Jupyter Notebook: A tool widely used in AI for interactive coding, data visualization, and documentation.

K - Knowledge Representation: How AI systems store, organize, and use information for reasoning.

L - LLM (Large Language Model): An AI trained on large text datasets to understand and generate human language (e.g., GPT-4).

M - Machine Learning: A branch of AI where systems learn from data instead of being explicitly programmed.

N - NLP (Natural Language Processing): AI's ability to understand, interpret, and generate human language.

O - Overfitting: When a model performs well on training data but poorly on unseen data due to memorizing instead of generalizing.

P - Prompt Engineering: Crafting effective inputs to steer generative AI toward desired responses.

Q - Q-Learning: A reinforcement learning algorithm that helps agents learn the best actions to take.

R - Reinforcement Learning: A type of learning where AI agents learn by interacting with environments and receiving rewards.

S - Supervised Learning: Machine learning where models are trained on labeled datasets.

T - Transformer: A neural network architecture powering models like GPT and BERT, crucial in NLP tasks.

U - Unsupervised Learning: A method where AI finds patterns in data without labeled outcomes.

V - Vision (Computer Vision): The field of AI that enables machines to interpret and process visual data.

W - Weak AI: AI designed to handle narrow tasks without consciousness or general intelligence.

X - Explainable AI (XAI): Techniques that make AI decision-making transparent and understandable to humans.

Y - YOLO (You Only Look Once): A popular real-time object detection algorithm in computer vision.

Z - Zero-shot Learning: The ability of AI to perform tasks it hasn’t been explicitly trained on.

Credits: https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y