Top Tweets for #MathForML
How Gradient Descent Works | Deep Learning Essentials | CodeGenus Bytes
Master the core optimization algorithm of machine learning—understand weights, biases, learning rates, and avoiding local minima.
#DeepLearning #GradientDescent #MathForML #TechInterview #CodeGenusBytes
📘 Grab the free “Mathematics for Machine Learning” book and strengthen your ML foundations in linear algebra, calculus, probability, and optimization.
Download: https://t.co/vtfGo1MgLq
#MachineLearning #MathForML #AI #DataScience #MLBook
Understanding symmetric matrices and positive definiteness is key to mastering #MachineLearning.
They explain why algorithms like gradient descent actually converge!
🎥 Watch here → https://t.co/LJsDWZ15o3
#MathForML #AI #DeepLearning #LinearAlgebra
Day 26 of #MathForML
Today's labwork: Applications of EigenValues & EigenVectors
-> Navigating Webpages
-> PCA on cat images
Before diving into calculus, I want to make sure my Linear Algebra is rock solid.
Can you suggest resources to master and practice Linear Algebra for ML?
Just found @geogebra — one of the best tools I’ve seen for understanding math visually.
Super helpful for grasping ML topics like vectors, functions, and calculus.
🔗 https://t.co/wwAWTL5TT0
Definitely worth checking out!
#MathForML #GeoGebra #LearnInPublic
Day 54 #MyDataScienceJourney: Covered equations of lines, 3D planes, and hyperplanes, plus how to find a point’s distance from a plane. Also explored instance-based vs. model-based learning in ML—fascinating to see how model either memorize or generalize!#LearnInPublic #MathForML
"Did some solid descriptive stats past 2 days — now jumping into probability distribution functions as part of my ML grind. Let’s gooo! 📊➡️📈🔥 #MachineLearning #StatsJourney #AI #deeplearning #datascience #MathForML #learning #progress #AIForEveryone
Essential Math for Machine Learning: Kernel Density Estimation➡️https://t.co/5eN6AnvlUL #AIforBeginners #DataAnalysis #MathForML #artmac #artmacllc
Day 77 #100DaysOfCode
📊 Mastered Linux basics! 💻
✅ Solved 10 Math problems for ML ( Hermitian mat & diagonalization )🤖
🚀🌟 #Linux #MathForML #100daysofcodechallenge
#100daysofcoding #Ubuntu #script #Shell #SSH #VM
If you are thinking about learning maths for data science.
Here are 5 great books and resources to get you started 👇🏻
#DataScience #DataAnalytics #mathforML #mathematics
I'm taking the Math for ML specialization from @DeepLearningAI_ which includes Linear Algebra, Calculus, and Statistics.
I was always a little intimidated by calculus in ML so I hope this helps me with that.
#MachineLearning #MathForML
Exciting news for anyone looking to strengthen their math foundation for machine learning and data science - the new course Math for Machine Learning and Data Science is now available on Coursera, taught by the brilliant @luis_likes_math #MachineLearning #DataScience #MathForML
1/Math for Machine Learning and Data Science is now available on Coursera! Taught by @luis_likes_math, this gives an intuitive understanding of the most important math concepts for AI.
https://t.co/WFi3KSuVk7
𝑓∘𝑔, you must have come across this in some Machine Learning course or a paper and wondered what it is! In this thread we will introduce you to some common math notations seen in ML. A thread 👇
#mathematics #MathforML #DeepLearning
Feeling a bit stupid for writing code to count lines of text, when I could have just looked at the side of the editor... 🤦♂️😂
__________
#javascript #Developer #mathforml
Overview of data distributions https://t.co/BFiBYVRdTQ . Probability distributions- always find them a challenging topic. Wish I had this before. #Stats
#Probability #MathforML
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