🗂 A fresh deep learning course from MIT is now publicly available
A full-fledged educational course has been published on the university's website: 24 lectures, practical assignments, homework, and a collection of materials for self-study.
The program includes modern neural network architectures, generative models, transformers, inference, and other key topics.
➡️ Link to the course
tags: #Python #DataScience #DeepLearning #AI
A full-fledged educational course has been published on the university's website: 24 lectures, practical assignments, homework, and a collection of materials for self-study.
The program includes modern neural network architectures, generative models, transformers, inference, and other key topics.
➡️ Link to the course
tags: #Python #DataScience #DeepLearning #AI
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The matrix cookbook.pdf
676.5 KB
📚 Notes and Important Formulas ⬅️ "Matrices, Linear Algebra, and Probability"
👨🏻💻 This booklet serves as an essential resource for individuals initiating their studies in data science. It consolidates comprehensive information on matrices, linear algebra, and probability, thereby eliminating the necessity of consulting multiple sources.
✏️ The document encompasses nearly all pertinent formulas and key concepts. It addresses foundational topics such as determinants and matrix inverses, as well as advanced subjects including eigenvalues, eigenvectors, Singular Value Decomposition (SVD), and probability distributions.
🌐 #DataScience #Python #Math
https://xn--r1a.website/CodeProgrammer🌟
👨🏻💻 This booklet serves as an essential resource for individuals initiating their studies in data science. It consolidates comprehensive information on matrices, linear algebra, and probability, thereby eliminating the necessity of consulting multiple sources.
✏️ The document encompasses nearly all pertinent formulas and key concepts. It addresses foundational topics such as determinants and matrix inverses, as well as advanced subjects including eigenvalues, eigenvectors, Singular Value Decomposition (SVD), and probability distributions.
https://xn--r1a.website/CodeProgrammer
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A good selection for those who want to improve their skills in practice, rather than just reading theory:
tags: #ML #DataScience #DataAnalysis
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This Machine Learning Cheat Sheet Saved Me Hours of Revision ⏳
It includes:
✅ Supervised & Unsupervised algorithms
✅ Regression, Classification & Clustering techniques
✅ PCA & Dimensionality Reduction
✅ Neural Networks, CNN, RNN & Transformers
✅ Assumptions, Pros/Cons & Real-world use cases
Whether you're:
🔹 Preparing for data science interviews
🔹 Working on ML projects
🔹 Or strengthening your fundamentals
this one-page guide is a must-save.
♻️ Repost and share with your ML circle.
#MachineLearning #DataScience #AI #MLAlgorithms #InterviewPrep #LearnML
https://xn--r1a.website/CodeProgrammer🐍
It includes:
✅ Supervised & Unsupervised algorithms
✅ Regression, Classification & Clustering techniques
✅ PCA & Dimensionality Reduction
✅ Neural Networks, CNN, RNN & Transformers
✅ Assumptions, Pros/Cons & Real-world use cases
Whether you're:
🔹 Preparing for data science interviews
🔹 Working on ML projects
🔹 Or strengthening your fundamentals
this one-page guide is a must-save.
♻️ Repost and share with your ML circle.
#MachineLearning #DataScience #AI #MLAlgorithms #InterviewPrep #LearnML
https://xn--r1a.website/CodeProgrammer
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🔖 Interactive textbook on probability theory and statistics 📊✨
A super-intuitive site where you can visually study distributions, sampling, and statistical concepts. 📈🎲
No tons of formulas and boring theory — everything is demonstrated through interactive examples and simulations. 💻🔬
⛓️ Download here 👇
https://seeing-theory.brown.edu/
#Probability #Statistics #DataScience #Learning #Interactive #Math
https://xn--r1a.website/CodeProgrammer
A super-intuitive site where you can visually study distributions, sampling, and statistical concepts. 📈🎲
No tons of formulas and boring theory — everything is demonstrated through interactive examples and simulations. 💻🔬
⛓️ Download here 👇
https://seeing-theory.brown.edu/
#Probability #Statistics #DataScience #Learning #Interactive #Math
https://xn--r1a.website/CodeProgrammer
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Forwarded from Learn Python Coding
Cheat sheet on the basics of Python: 🐍📚
basic syntax and language rules 📝
scalar types — basic data types (int, float, bool, str, NoneType) 🔢
datetime — working with date and time 📅⏰
data structures — Python data structures (list, tuple, dict, set) 🗄
list — mutable lists for storing data collections 📋
tuple — immutable sequences of values 🔒
dict (hash map) — storing data in a key-value format 🗝
set — unique elements without order 🔘
slicing — obtaining parts of sequences through indices and step ✂️
module/library — connecting modules and libraries 🔌
help functions — using help() and dir() to explore the Python API 🛠
#Python #Coding #DataScience #Programming #Tech #DevCommunity
basic syntax and language rules 📝
scalar types — basic data types (int, float, bool, str, NoneType) 🔢
datetime — working with date and time 📅⏰
data structures — Python data structures (list, tuple, dict, set) 🗄
list — mutable lists for storing data collections 📋
tuple — immutable sequences of values 🔒
dict (hash map) — storing data in a key-value format 🗝
set — unique elements without order 🔘
slicing — obtaining parts of sequences through indices and step ✂️
module/library — connecting modules and libraries 🔌
help functions — using help() and dir() to explore the Python API 🛠
#Python #Coding #DataScience #Programming #Tech #DevCommunity
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Forwarded from Machine Learning
🚀 Master Binary Classification with Neural Networks! 🧠✨
Ever wondered how to build a neural network from scratch in Python using NumPy? 🐍📊
Binary classification is at the heart of many machine learning applications. 🎯🤖
Our super-detailed guide walks you through the entire process step by step. 📝📚
💡 Dive in and start building your own neural network today! 🏗🔥
https://tinztwinshub.com/data-science/a-beginners-guide-to-developing-an-artificial-neural-network-from-zero/
#MachineLearning #NeuralNetworks #Python #DataScience #AI #Tech
Ever wondered how to build a neural network from scratch in Python using NumPy? 🐍📊
Binary classification is at the heart of many machine learning applications. 🎯🤖
Our super-detailed guide walks you through the entire process step by step. 📝📚
💡 Dive in and start building your own neural network today! 🏗🔥
https://tinztwinshub.com/data-science/a-beginners-guide-to-developing-an-artificial-neural-network-from-zero/
#MachineLearning #NeuralNetworks #Python #DataScience #AI #Tech
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