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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๐ฅ MIT has updated its famous course 6.S191: Introduction to Deep Learning.
All slides, #code and additional materials can be found at the link provided.
๐ Fresh lecture : https://youtu.be/alfdI7S6wCY?si=6682DD2LlFwmghew
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.
๐ 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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๐ ๐๐ฎ๐ฌ๐ญ-๐๐๐ญ๐๐ก ๐๐ ๐๐๐ ๐๐๐ฅ๐ค๐ฌ
โฉ The inside story of ChatGPT's astonishing potential by Greg Brockman. https://youtu.be/C_78DM8fG6E?si=kdGNA1PvO1lb7L8t
โฉ How AI could save (not destroy) education by Sal Khan
https://youtu.be/hJP5GqnTrNo?si=wlD-SOjr5ZxLQ0vQ
โฉ How to keep AI under control by Max Tegmark
https://youtu.be/xUNx_PxNHrY?si=e8JDz9up3IRYmBo5
โฉ How to think computationally about AI, the universe, and everything by Stephen Wolfram
https://youtu.be/fLMZAHyrpyo?si=5O1b63qgga89rEOb
โฉ The dark side of competition in AI by Liv Boeree
https://youtu.be/WX_vN1QYgmE?si=QDMlKkrxqrSCdFkr
โฉ How AI art could enhance humanity's collective memory by Refik Anadol
https://youtu.be/iz7diOuaTos?si=iyQOF20jZp78hfo2
โฉ Why AI is incredibly smart and shockingly stupid by Yejin Choil
https://youtu.be/SvBR0OGT5VI?si=rLhDzmohC_dPfrtM
โฉ Will superintelligent AI end the world by Eliezer Yudkowsky
https://youtu.be/Yd0yQ9yxSYY?si=JqN2yNgP0IOTnjN1
#ai
โฉ The inside story of ChatGPT's astonishing potential by Greg Brockman. https://youtu.be/C_78DM8fG6E?si=kdGNA1PvO1lb7L8t
โฉ How AI could save (not destroy) education by Sal Khan
https://youtu.be/hJP5GqnTrNo?si=wlD-SOjr5ZxLQ0vQ
โฉ How to keep AI under control by Max Tegmark
https://youtu.be/xUNx_PxNHrY?si=e8JDz9up3IRYmBo5
โฉ How to think computationally about AI, the universe, and everything by Stephen Wolfram
https://youtu.be/fLMZAHyrpyo?si=5O1b63qgga89rEOb
โฉ The dark side of competition in AI by Liv Boeree
https://youtu.be/WX_vN1QYgmE?si=QDMlKkrxqrSCdFkr
โฉ How AI art could enhance humanity's collective memory by Refik Anadol
https://youtu.be/iz7diOuaTos?si=iyQOF20jZp78hfo2
โฉ Why AI is incredibly smart and shockingly stupid by Yejin Choil
https://youtu.be/SvBR0OGT5VI?si=rLhDzmohC_dPfrtM
โฉ Will superintelligent AI end the world by Eliezer Yudkowsky
https://youtu.be/Yd0yQ9yxSYY?si=JqN2yNgP0IOTnjN1
#ai
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๐๐ข๐ฆ๐ฉ๐ฅ๐ ๐๐ฎ๐ข๐๐ ๐ญ๐จ ๐๐๐๐ซ๐ง ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐จ๐ซ ๐๐๐ญ๐ ๐๐ง๐๐ฅ๐ฒ๐ญ๐ข๐๐ฌ ๐
๐ ๐๐ก๐๐ญ ๐ข๐ฌ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ?
Imagine you're teaching a child to recognize fruits. You show them an apple, tell them itโs an apple, and next time they know it. Thatโs what Machine Learning does! But instead of a child, itโs 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.
๐ค ๐๐ก๐ฒ ๐ข๐ฌ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐ฆ๐ฉ๐จ๐ซ๐ญ๐๐ง๐ญ ๐๐จ๐ซ ๐๐๐ญ๐ ๐๐ง๐๐ฅ๐ฒ๐ญ๐ข๐๐ฌ?
Machine Learning makes data analytics super powerful. Instead of just looking at past data, it can help predict future trends, find patterns we didnโt notice, and make decisions that help businesses grow!
๐ฎ ๐๐จ๐ฐ ๐ญ๐จ ๐๐๐๐ซ๐ง ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐จ๐ซ ๐๐๐ญ๐ ๐๐ง๐๐ฅ๐ฒ๐ญ๐ข๐๐ฌ?
โ ๐๐๐๐ซ๐ง ๐๐ฒ๐ญ๐ก๐จ๐ง: Python is the most commonly used language in ML. Start by getting comfortable with basic Python, then move on to ML-specific libraries like:
๐ฉ๐๐ง๐๐๐ฌ: For data manipulation.
๐๐ฎ๐ฆ๐๐ฒ: For numerical calculations.
๐ฌ๐๐ข๐ค๐ข๐ญ-๐ฅ๐๐๐ซ๐ง: For implementing basic ML algorithms.
โ ๐๐ง๐๐๐ซ๐ฌ๐ญ๐๐ง๐ ๐ญ๐ก๐ ๐๐๐ฌ๐ข๐๐ฌ ๐จ๐ ๐๐ญ๐๐ญ๐ข๐ฌ๐ญ๐ข๐๐ฌ: ML relies heavily on concepts like probability, distributions, and hypothesis testing. Understanding basic statistics will help you grasp how models work.
โ ๐๐ซ๐๐๐ญ๐ข๐๐ ๐จ๐ง ๐๐๐๐ฅ ๐๐๐ญ๐๐ฌ๐๐ญ๐ฌ: Platforms like Kaggle offer datasets and ML competitions. Start by analyzing small datasets to understand how machine learning models make predictions.
โ ๐๐๐๐ซ๐ง ๐๐ข๐ฌ๐ฎ๐๐ฅ๐ข๐ณ๐๐ญ๐ข๐จ๐ง: 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.
โ ๐๐จ๐ซ๐ค ๐จ๐ง ๐๐ข๐ฆ๐ฉ๐ฅ๐ ๐๐ซ๐จ๐ฃ๐๐๐ญ๐ฌ: 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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๐ ๐๐ก๐๐ญ ๐ข๐ฌ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ?
Imagine you're teaching a child to recognize fruits. You show them an apple, tell them itโs an apple, and next time they know it. Thatโs what Machine Learning does! But instead of a child, itโs 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.
๐ค ๐๐ก๐ฒ ๐ข๐ฌ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐ฆ๐ฉ๐จ๐ซ๐ญ๐๐ง๐ญ ๐๐จ๐ซ ๐๐๐ญ๐ ๐๐ง๐๐ฅ๐ฒ๐ญ๐ข๐๐ฌ?
Machine Learning makes data analytics super powerful. Instead of just looking at past data, it can help predict future trends, find patterns we didnโt notice, and make decisions that help businesses grow!
๐ฎ ๐๐จ๐ฐ ๐ญ๐จ ๐๐๐๐ซ๐ง ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐จ๐ซ ๐๐๐ญ๐ ๐๐ง๐๐ฅ๐ฒ๐ญ๐ข๐๐ฌ?
โ ๐๐๐๐ซ๐ง ๐๐ฒ๐ญ๐ก๐จ๐ง: Python is the most commonly used language in ML. Start by getting comfortable with basic Python, then move on to ML-specific libraries like:
๐ฉ๐๐ง๐๐๐ฌ: For data manipulation.
๐๐ฎ๐ฆ๐๐ฒ: For numerical calculations.
๐ฌ๐๐ข๐ค๐ข๐ญ-๐ฅ๐๐๐ซ๐ง: For implementing basic ML algorithms.
โ ๐๐ง๐๐๐ซ๐ฌ๐ญ๐๐ง๐ ๐ญ๐ก๐ ๐๐๐ฌ๐ข๐๐ฌ ๐จ๐ ๐๐ญ๐๐ญ๐ข๐ฌ๐ญ๐ข๐๐ฌ: ML relies heavily on concepts like probability, distributions, and hypothesis testing. Understanding basic statistics will help you grasp how models work.
โ ๐๐ซ๐๐๐ญ๐ข๐๐ ๐จ๐ง ๐๐๐๐ฅ ๐๐๐ญ๐๐ฌ๐๐ญ๐ฌ: Platforms like Kaggle offer datasets and ML competitions. Start by analyzing small datasets to understand how machine learning models make predictions.
โ ๐๐๐๐ซ๐ง ๐๐ข๐ฌ๐ฎ๐๐ฅ๐ข๐ณ๐๐ญ๐ข๐จ๐ง: 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.
โ ๐๐จ๐ซ๐ค ๐จ๐ง ๐๐ข๐ฆ๐ฉ๐ฅ๐ ๐๐ซ๐จ๐ฃ๐๐๐ญ๐ฌ: Start with basic ML projects such as:
-Predicting house prices.
-Classifying emails as spam or not spam.
-Clustering customers based on their purchasing habits.
I have curated the best interview resources to crack Data Science Interviews
๐๐
https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02
Like if you need similar content ๐๐
โค3๐3