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

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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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Important metrics to monitor while monitoring machine learning model
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Free Session to learn Data Analytics, Data Science & AI
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๐’๐ข๐ฆ๐ฉ๐ฅ๐ž ๐†๐ฎ๐ข๐๐ž ๐ญ๐จ ๐‹๐ž๐š๐ซ๐ง ๐Œ๐š๐œ๐ก๐ข๐ง๐ž ๐‹๐ž๐š๐ซ๐ง๐ข๐ง๐  ๐Ÿ๐จ๐ซ ๐ƒ๐š๐ญ๐š ๐€๐ง๐š๐ฅ๐ฒ๐ญ๐ข๐œ๐ฌ ๐Ÿ˜ƒ

๐Ÿ™„ ๐–๐ก๐š๐ญ ๐ข๐ฌ ๐Œ๐š๐œ๐ก๐ข๐ง๐ž ๐‹๐ž๐š๐ซ๐ง๐ข๐ง๐ ?
Imagine you're teaching a child to recognize fruits. You show them an apple, tell them itโ€™s an apple, and next time they know it. Thatโ€™s what Machine Learning does! But instead of a child, itโ€™s a computer, and instead of fruits, it learns from data.
Machine Learning is about teaching computers to learn from past data so they can make smart decisions or predictions on their own, improving over time without needing new instructions.

๐Ÿค” ๐–๐ก๐ฒ ๐ข๐ฌ ๐Œ๐š๐œ๐ก๐ข๐ง๐ž ๐‹๐ž๐š๐ซ๐ง๐ข๐ง๐  ๐ˆ๐ฆ๐ฉ๐จ๐ซ๐ญ๐š๐ง๐ญ ๐Ÿ๐จ๐ซ ๐ƒ๐š๐ญ๐š ๐€๐ง๐š๐ฅ๐ฒ๐ญ๐ข๐œ๐ฌ?

Machine Learning makes data analytics super powerful. Instead of just looking at past data, it can help predict future trends, find patterns we didnโ€™t notice, and make decisions that help businesses grow!

๐Ÿ˜ฎ ๐‡๐จ๐ฐ ๐ญ๐จ ๐‹๐ž๐š๐ซ๐ง ๐Œ๐š๐œ๐ก๐ข๐ง๐ž ๐‹๐ž๐š๐ซ๐ง๐ข๐ง๐  ๐Ÿ๐จ๐ซ ๐ƒ๐š๐ญ๐š ๐€๐ง๐š๐ฅ๐ฒ๐ญ๐ข๐œ๐ฌ?

โœ… ๐‹๐ž๐š๐ซ๐ง ๐๐ฒ๐ญ๐ก๐จ๐ง: Python is the most commonly used language in ML. Start by getting comfortable with basic Python, then move on to ML-specific libraries like:
๐ฉ๐š๐ง๐๐š๐ฌ: For data manipulation.
๐๐ฎ๐ฆ๐๐ฒ: For numerical calculations.
๐ฌ๐œ๐ข๐ค๐ข๐ญ-๐ฅ๐ž๐š๐ซ๐ง: For implementing basic ML algorithms.

โœ… ๐”๐ง๐๐ž๐ซ๐ฌ๐ญ๐š๐ง๐ ๐ญ๐ก๐ž ๐๐š๐ฌ๐ข๐œ๐ฌ ๐จ๐Ÿ ๐’๐ญ๐š๐ญ๐ข๐ฌ๐ญ๐ข๐œ๐ฌ: ML relies heavily on concepts like probability, distributions, and hypothesis testing. Understanding basic statistics will help you grasp how models work.

โœ… ๐๐ซ๐š๐œ๐ญ๐ข๐œ๐ž ๐จ๐ง ๐‘๐ž๐š๐ฅ ๐ƒ๐š๐ญ๐š๐ฌ๐ž๐ญ๐ฌ: Platforms like Kaggle offer datasets and ML competitions. Start by analyzing small datasets to understand how machine learning models make predictions.

โœ… ๐‹๐ž๐š๐ซ๐ง ๐•๐ข๐ฌ๐ฎ๐š๐ฅ๐ข๐ณ๐š๐ญ๐ข๐จ๐ง: Use tools like Matplotlib or Seaborn to visualize data. This will help you understand patterns in the data and how machine learning models interpret them.

โœ… ๐–๐จ๐ซ๐ค ๐จ๐ง ๐’๐ข๐ฆ๐ฉ๐ฅ๐ž ๐๐ซ๐จ๐ฃ๐ž๐œ๐ญ๐ฌ: Start with basic ML projects such as:
-Predicting house prices.
-Classifying emails as spam or not spam.
-Clustering customers based on their purchasing habits.

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