From 8dbc161e01d0ed1168d09833d7ae02f7c4d4d6c1 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" <41898282+github-actions[bot]@users.noreply.github.com> Date: Mon, 24 Nov 2025 17:19:57 +0100 Subject: [PATCH] chore: sync content to repo (#9398) Co-authored-by: kamranahmedse <4921183+kamranahmedse@users.noreply.github.com> --- ...atives-partial-derivatives@GN6SnI7RXIeW8JeD-qORW.md | 2 +- .../content/linear-algebra@83UDoO1vC0LjL-qpI0Jh-.md | 6 +++--- ...ml-engineer-vs-ai-engineer@GHO6lN3GTiIRH1P70IRaZ.md | 2 +- .../content/probability@tP0oBkjvJC9hrtARkgLon.md | 10 +++++----- 4 files changed, 10 insertions(+), 10 deletions(-) diff --git a/src/data/roadmaps/machine-learning/content/derivatives-partial-derivatives@GN6SnI7RXIeW8JeD-qORW.md b/src/data/roadmaps/machine-learning/content/derivatives-partial-derivatives@GN6SnI7RXIeW8JeD-qORW.md index 92a1a4c22..97a918604 100644 --- a/src/data/roadmaps/machine-learning/content/derivatives-partial-derivatives@GN6SnI7RXIeW8JeD-qORW.md +++ b/src/data/roadmaps/machine-learning/content/derivatives-partial-derivatives@GN6SnI7RXIeW8JeD-qORW.md @@ -5,4 +5,4 @@ A derivative measures how a function changes as its input changes. Imagine a cur Visit the following resources to learn more: - [@article@Derivatives](https://en.wikipedia.org/wiki/Derivative) -- [@video@What is a Derivative? Deriving the Power Rule](https://www.youtube.com/watch?v=x3iEEDxrhyE) +- [@video@What is a Derivative? Deriving the Power Rule](https://www.youtube.com/watch?v=x3iEEDxrhyE) \ No newline at end of file diff --git a/src/data/roadmaps/machine-learning/content/linear-algebra@83UDoO1vC0LjL-qpI0Jh-.md b/src/data/roadmaps/machine-learning/content/linear-algebra@83UDoO1vC0LjL-qpI0Jh-.md index fe40be8b5..e886a7d32 100644 --- a/src/data/roadmaps/machine-learning/content/linear-algebra@83UDoO1vC0LjL-qpI0Jh-.md +++ b/src/data/roadmaps/machine-learning/content/linear-algebra@83UDoO1vC0LjL-qpI0Jh-.md @@ -4,7 +4,7 @@ Linear algebra is a branch of mathematics that deals with vector spaces and line Visit the following resources to learn more: -- [@article@How I learned Linear Algebra, Probability and Statistics for Data Science](https://towardsdatascience.com/how-i-learned-linear-algebra-probability-and-statistics-for-data-science-b9d1c34dfa56/) -- [@video@Linear Algebra for Machine Learning](https://www.youtube.com/watch?v=QCPJ0VdpM00) - [@book@Linear algebra for data science](http://mitran-lab.amath.unc.edu/courses/MATH347DS/textbook.pdf) -- [@book@Linear Algebra Done Right](https://linear.axler.net/LADR4e.pdf) \ No newline at end of file +- [@book@Linear Algebra Done Right](https://linear.axler.net/LADR4e.pdf) +- [@article@How I learned Linear Algebra, Probability and Statistics for Data Science](https://towardsdatascience.com/how-i-learned-linear-algebra-probability-and-statistics-for-data-science-b9d1c34dfa56/) +- [@video@Linear Algebra for Machine Learning](https://www.youtube.com/watch?v=QCPJ0VdpM00) \ No newline at end of file diff --git a/src/data/roadmaps/machine-learning/content/ml-engineer-vs-ai-engineer@GHO6lN3GTiIRH1P70IRaZ.md b/src/data/roadmaps/machine-learning/content/ml-engineer-vs-ai-engineer@GHO6lN3GTiIRH1P70IRaZ.md index d0dc86b72..95906db9f 100644 --- a/src/data/roadmaps/machine-learning/content/ml-engineer-vs-ai-engineer@GHO6lN3GTiIRH1P70IRaZ.md +++ b/src/data/roadmaps/machine-learning/content/ml-engineer-vs-ai-engineer@GHO6lN3GTiIRH1P70IRaZ.md @@ -5,4 +5,4 @@ An ML Engineer primarily concentrates on building, deploying, and maintaining ma Visit the following resources to learn more: - [@video@AI VS ML Engineer What Do They Do?](https://www.youtube.com/watch?v=Ff8HHBITvfs) -- [@video@AI vs Machine Learning](https://www.youtube.com/watch?v=4RixMPF4xis) +- [@video@AI vs Machine Learning](https://www.youtube.com/watch?v=4RixMPF4xis) \ No newline at end of file diff --git a/src/data/roadmaps/machine-learning/content/probability@tP0oBkjvJC9hrtARkgLon.md b/src/data/roadmaps/machine-learning/content/probability@tP0oBkjvJC9hrtARkgLon.md index a687b4787..b5444bf1b 100644 --- a/src/data/roadmaps/machine-learning/content/probability@tP0oBkjvJC9hrtARkgLon.md +++ b/src/data/roadmaps/machine-learning/content/probability@tP0oBkjvJC9hrtARkgLon.md @@ -1,9 +1,9 @@ -# Linear Algebra +# Probability -Linear algebra is a branch of mathematics that deals with vector spaces and linear transformations between those spaces. It involves concepts like vectors, matrices, and systems of linear equations, and provides tools for manipulating and solving problems involving these entities. Operations such as matrix multiplication, decomposition, and eigenvalue analysis are fundamental to this field. +Probability is a way to quantify the likelihood of an event occurring. It provides a numerical measure, ranging from 0 to 1, that represents the likelihood of a specific outcome occurring. A probability of 0 indicates impossibility, while a probability of 1 signifies certainty. It's a fundamental concept for understanding uncertainty and making predictions based on available data. Visit the following resources to learn more: -- [@book@Linear algebra for data science](http://mitran-lab.amath.unc.edu/courses/MATH347DS/textbook.pdf) -- [@article@How I learned Linear Algebra, Probability and Statistics for Data Science](https://towardsdatascience.com/how-i-learned-linear-algebra-probability-and-statistics-for-data-science-b9d1c34dfa56/) -- [@video@Linear Algebra for Machine Learning](https://www.youtube.com/watch?v=QCPJ0VdpM00) \ No newline at end of file +- [@book@Probability and Statistics: The Science of Uncertainty](https://utstat.utoronto.ca/mikevans/jeffrosenthal/book.pdf) +- [@article@Probability for machine learning](https://towardsdatascience.com/probability-for-machine-learning-b4150953df09/) +- [@video@Probability for Data Science & Machine Learning](https://www.youtube.com/watch?v=sEte4hXEgJ8) \ No newline at end of file