🧠 Topic: TensorFlow on Databricks
💠 Link: https://databricks.com/tensorflow/getting-started-with-tensorflow-on-databricks
💡 Tags: #tensor_flow #deep_learning
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💠 Link: https://databricks.com/tensorflow/getting-started-with-tensorflow-on-databricks
💡 Tags: #tensor_flow #deep_learning
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Databricks
The Data and AI Company — Databricks
The Databricks Platform is the world’s first data intelligence platform powered by generative AI. Infuse AI into every facet of your business.
🧠 Topic: Visualizing A Neural Machine Translation Model (Mechanics of Seq2seq Models With Attention)
💠 Link: https://jalammar.github.io/visualizing-neural-machine-translation-mechanics-of-seq2seq-models-with-attention/
💡 Tags: #seq2seq #deep_learning
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💠 Link: https://jalammar.github.io/visualizing-neural-machine-translation-mechanics-of-seq2seq-models-with-attention/
💡 Tags: #seq2seq #deep_learning
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jalammar.github.io
Visualizing A Neural Machine Translation Model (Mechanics of Seq2seq Models With Attention)
Translations: Chinese (Simplified), French, Japanese, Korean, Persian, Russian, Turkish, Uzbek
Watch: MIT’s Deep Learning State of the Art lecture referencing this post
May 25th update: New graphics (RNN animation, word embedding graph), color coding, elaborated…
Watch: MIT’s Deep Learning State of the Art lecture referencing this post
May 25th update: New graphics (RNN animation, word embedding graph), color coding, elaborated…
🧠 Topic: Applied Machine Learning in Python
💠 Link: https://amueller.github.io/aml/00-introduction/00-introduction.html
💡 Tags: #machine_learning
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💠 Link: https://amueller.github.io/aml/00-introduction/00-introduction.html
💡 Tags: #machine_learning
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🧠 Topic: WRNs — Wide Residual Networks
💠 Link: https://towardsdatascience.com/review-wrns-wide-residual-networks-image-classification-d3feb3fb2004
💡 Tags: #machine_learning #computer_vision
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💠 Link: https://towardsdatascience.com/review-wrns-wide-residual-networks-image-classification-d3feb3fb2004
💡 Tags: #machine_learning #computer_vision
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Medium
Review: WRNs — Wide Residual Networks (Image Classification)
This time, WRNs (Wide Residual Networks) is presented. By widening Residual Network (ResNet), the network can be shallower with the same…
🧠 Topic: Open-Access Neuroscience Electronic Textbook
💠 Link: https://nba.uth.tmc.edu/neuroscience/
💡 Tags: #neuroscience
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💠 Link: https://nba.uth.tmc.edu/neuroscience/
💡 Tags: #neuroscience
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🧠 Topic: BAYESIAN META-LEARNING IS ALL YOU NEED
💠 Link: https://jameskle.com/writes/bayesian-meta-learning-is-all-you-need
💡 Tags: #deep_learning #meta_learning
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💠 Link: https://jameskle.com/writes/bayesian-meta-learning-is-all-you-need
💡 Tags: #deep_learning #meta_learning
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James Le
Bayesian Meta-Learning Is All You Need — James Le
This blog post is my attempt to demystify the probabilistic view of meta-learning and answer these key questions: Why is the deterministic view of meta-learning not sufficient? What is the variational inference? How can we design neural-based Bayesian…
🧠 Topic: Optimization and Online Learning
💠 Link: https://www.youtube.com/watch?v=ee-HYD6kKqM&list=PLXsmhnDvpjORzPelSDs0LSDrfJcqyLlZc
💡 Tags: #deep_learning #machine_learning #optimization
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💠 Link: https://www.youtube.com/watch?v=ee-HYD6kKqM&list=PLXsmhnDvpjORzPelSDs0LSDrfJcqyLlZc
💡 Tags: #deep_learning #machine_learning #optimization
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YouTube
1.1 Introduction to Optimization and to Me
These lectures are from material taught as a second graduate course in Optimization, at The University of Texas at Austin, in Spring 2020. The first half of the course was recorded in the LAITS studio as part of an online MS program in Computer Science. The…
🧠 Topic: Introduction to Causality in Machine Learning
💠 Link: https://towardsdatascience.com/introduction-to-causality-in-machine-learning-4cee9467f06f
💡 Tags: #machine_learning #causal_inference
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💠 Link: https://towardsdatascience.com/introduction-to-causality-in-machine-learning-4cee9467f06f
💡 Tags: #machine_learning #causal_inference
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Medium
Introduction to Causality in Machine Learning
Why we need causality in Machine Learning (From a business perspective)
🧠 Topic: Quick Start to Gaussian Process Regression
💠 Link: https://towardsdatascience.com/quick-start-to-gaussian-process-regression-36d838810319
💡 Tags: #machine_learning #Bayesian
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💠 Link: https://towardsdatascience.com/quick-start-to-gaussian-process-regression-36d838810319
💡 Tags: #machine_learning #Bayesian
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Medium
Quick Start to Gaussian Process Regression
A quick guide to understanding Gaussian process regression (GPR) and using scikit-learn’s GPR package
🧠 Topic: Causal Reasoning: Fundamentals and Machine Learning Applications
💠 Link: https://causalinference.gitlab.io/causal-reasoning-book-chapter1/
💡 Tags: #machine_learning #causal_inference
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💠 Link: https://causalinference.gitlab.io/causal-reasoning-book-chapter1/
💡 Tags: #machine_learning #causal_inference
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Getting Started with Causal Inference
Chapter 1: Causal Reasoning Book
Introduction
🧠 Topic: Purdue Krannert-Statistics Causal Machine Learning for Novel Settings Boot Camp
💠 Link: https://www.stat.purdue.edu/~sabbaghi/teaching/causalMLNovelSettings/Introduction%20-%20Causal%20Inference%20and%20ML.html
💡 Tags: #machine_learning #causal_inference
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💠 Link: https://www.stat.purdue.edu/~sabbaghi/teaching/causalMLNovelSettings/Introduction%20-%20Causal%20Inference%20and%20ML.html
💡 Tags: #machine_learning #causal_inference
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🧠 Topic: Log Softmax Vs Softmax
💠 Link: https://deepdatascience.wordpress.com/2020/02/27/log-softmax-vs-softmax/
💡 Tags: #deep_learning
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💠 Link: https://deepdatascience.wordpress.com/2020/02/27/log-softmax-vs-softmax/
💡 Tags: #deep_learning
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Data Science & Deep Learning
Log Softmax Vs Softmax
Question: I recently came across log softmax for loss calculation. Does it matter and Which one should I choose ?Answer: Log Softmax is advantageous over softmax for numerical stability, optimisati…
🧠 Topic: A Visual Guide to Learning Rate Schedulers in PyTorch
💠 Link: https://towardsdatascience.com/a-visual-guide-to-learning-rate-schedulers-in-pytorch-24bbb262c863
💡 Tags: #deep_learning
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🧩 More: @Aitive
💠 Link: https://towardsdatascience.com/a-visual-guide-to-learning-rate-schedulers-in-pytorch-24bbb262c863
💡 Tags: #deep_learning
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🧠 Topic: Probability Theory for Machine Learning
💠 Link: https://www.cs.toronto.edu/~urtasun/courses/CSC411/tutorial1.pdf
💡 Tags: #machine_learning
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💠 Link: https://www.cs.toronto.edu/~urtasun/courses/CSC411/tutorial1.pdf
💡 Tags: #machine_learning
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🧠 Topic: Deep Learning Course (Oxford)
💠 Link: https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu
💡 Tags: #deep_learning #artificial_intelligence #machine_learning
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💠 Link: https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu
💡 Tags: #deep_learning #artificial_intelligence #machine_learning
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ML-Tommy.pdf
8.8 MB
🧠 Topic: Statistics and Machine Learning in Python
💠 Link: https://duchesnay.github.io/pystatsml/
💡 Tags: #machine_learning
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💠 Link: https://duchesnay.github.io/pystatsml/
💡 Tags: #machine_learning
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🧠 Topic: Causal Inference Course by Brady Neal
💠 Link: https://www.youtube.com/playlist?list=PLoazKTcS0RzZ1SUgeOgc6SWt51gfT80N0
💡 Tags: #artificial_intelligence #machine_learning #causal_inference
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💠 Link: https://www.youtube.com/playlist?list=PLoazKTcS0RzZ1SUgeOgc6SWt51gfT80N0
💡 Tags: #artificial_intelligence #machine_learning #causal_inference
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🧠 Topic: LangChain Cheatsheet
💠 Link: https://pub.towardsai.net/langchain-cheatsheet-all-secrets-on-a-single-page-8be26b721cde
💡 Tags: #artificial_intelligence #machine_learning #nlp
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💠 Link: https://pub.towardsai.net/langchain-cheatsheet-all-secrets-on-a-single-page-8be26b721cde
💡 Tags: #artificial_intelligence #machine_learning #nlp
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Medium
LangChain Cheatsheet — All Secrets on a Single Page
The onepager summarizes the basics of LangChain. LangChain cheatsheet includes llms, prompts, memory, indexes, agents, chains and colab…
Christopher_M_Bishop,_Hugh_Bishop_Deep_Learning_Foundations_and.pdf
47.3 MB
🧠 Topic: Deep Learning: Foundations and Concepts
💠 Link: https://www.bishopbook.com/
💡 Tags: #artificial_intelligence #deep_learning
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💠 Link: https://www.bishopbook.com/
💡 Tags: #artificial_intelligence #deep_learning
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Textbooks_in_Mathematics_Crista_Arangala_Linear_Algebra_With_Machine.pdf
14.8 MB
🧠 Topic: Linear Algebra With Machine Learning and Data
💠 Link: https://www.routledge.com/Linear-Algebra-With-Machine-Learning-and-Data/Arangala/p/book/9780367458393
💡 Tags: #linear_algebra #machine_learning
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💠 Link: https://www.routledge.com/Linear-Algebra-With-Machine-Learning-and-Data/Arangala/p/book/9780367458393
💡 Tags: #linear_algebra #machine_learning
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🧠 Topic: Essence of Linear Algebra
💠 Link: https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
💡 Tags: #linear_algebra #machine_learning
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💠 Link: https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
💡 Tags: #linear_algebra #machine_learning
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