#Algorithms In Machine Learning

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#Algorithms In Machine Learning Reel by @chrisoh.zip - Machine learning relies heavily on mathematical foundations.

#tech #ml #explore #fyp #ai
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@chrisoh.zip
Machine learning relies heavily on mathematical foundations. #tech #ml #explore #fyp #ai
#Algorithms In Machine Learning Reel by @equationsinmotion - The Secret Behind Machine Learning Predictions!  Ever wondered how machines make binary decisions? This video breaks down Logistic Regression using th
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@equationsinmotion
The Secret Behind Machine Learning Predictions! Ever wondered how machines make binary decisions? This video breaks down Logistic Regression using the Sigmoid Function. We visualize how the weight (w) controls the steepness of the curve and how the bias (b) shifts it along the x-axis. See how Cross-Entropy (CE) Loss is minimized to find the optimal fit for your data points. Finally, we explore the decision boundary at P=0.5, which separates predictions into Class 0 and Class 1. Perfect for data science students and machine learning enthusiasts looking for a quick, intuitive visualization of classification algorithms and mathematical optimization. #LogisticRegression #MachineLearning #SigmoidFunction #Math #Manim
#Algorithms In Machine Learning Reel by @numeric.ai - Sorting algorithms are the invisible engines behind everything from your Spotify playlists to your online search results. This visualization breaks do
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@numeric.ai
Sorting algorithms are the invisible engines behind everything from your Spotify playlists to your online search results. This visualization breaks down 14 different methods, ranging from the slow and steady « Bubble Sort » to the lightning-fast efficiency of « Quick Sort. » You can actually hear and see the difference in how they approach the same problem, some scan through one by one, while others break the list into tiny pieces to conquer them faster. It is a fascinating look at the logic that powers our digital world, showing that there is rarely just one way to solve a problem. Whether it is through brute force or clever mathematical shortcuts, watching these patterns emerge is strangely satisfying. ➡️ Follow @numeric.ai to stay updated with the latest AI, Tech & Future news. Credits : tetsuoai on X #ai #tech #future
#Algorithms In Machine Learning Reel by @armas.4am (verified account) - How Machines Learn - Part 1 

This is gradient descent. The algorithm behind every AI you've ever used. In this series, we'll go over the basics of ma
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@armas.4am
How Machines Learn - Part 1 This is gradient descent. The algorithm behind every AI you’ve ever used. In this series, we’ll go over the basics of machine learning and AI. Slowly building our intuition and foundation, understanding the math, and finally taking on tougher projects. This is all in effort of my mission; providing the best education I can give for free. Thanks for watching! #ai #machinelearning #software #manim #engineering
#Algorithms In Machine Learning Reel by @this.girl.tech - A visual look at how different algorithms actually run.
Actual performance varies with input size, data patterns, and environment.

#coding #dsa #data
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@this.girl.tech
A visual look at how different algorithms actually run. Actual performance varies with input size, data patterns, and environment. #coding #dsa #datastructuresandalgorithms #learntocode #tech #programming #engineering #softwareengineer #reels #fyp #codingforbeginners #algorithms #timecomplexity
#Algorithms In Machine Learning Reel by @freakz.ai - 📍6 Pillar Machine Learning Algorithms (Episode 88 of 100): DM to download the Free PDF👇

1. Support Vector Machine (SVM):

SVM is a commonly applied
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@freakz.ai
📍6 Pillar Machine Learning Algorithms (Episode 88 of 100): DM to download the Free PDF👇 1. Support Vector Machine (SVM): SVM is a commonly applied supervised machine learning algorithm that searches hyperplane with maximal separation from each data class. 2. Naive Bayes (NB): Naive Bayes, another supervised ML algorithm, is a probabilistic method based on Bayes’ law. 3. Logistic regression: Logistic regression is a classification algorithm utilized for probability prediction of target class by logistic function. 4. K-Nearest Neighbors: The K-Nearest Neighbors is a distance-based algorithm as it first finds all the closest points around new unknown data point and calculates the distance between them to determine the class of new data points. 5. Decision Trees: Decision tree, a supervised machine learning algorithm, is a tree-structured classifier that continuously divides the data based on specific parameters. 6. Random Forest: The random forest comprises multiple decision trees and can provide more accurate predictions by combining all of them. ⏰ Like this Post? Go to our bio, click subscribe button and subscribe to our page. Join our exclusive subscribers channel ✨ Hashtags (ignore): #datascience #python #python3ofcode #programmers #coder #programming #developerlife #programminglanguage #womenwhocode #codinggirl #entrepreneurial #softwareengineer #100daysofcode #programmingisfun #developer #coding #software #programminglife #codinglife #code
#Algorithms In Machine Learning Reel by @aibutsimple - Logistic regression is an algorithm and statistical method used in machine learning for binary classification tasks, where the goal is to predict one
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@aibutsimple
Logistic regression is an algorithm and statistical method used in machine learning for binary classification tasks, where the goal is to predict one of two possible outcomes (for example, yes or no). Logistic regression outputs probabilities that a certain event will occur, using the logistic function to transform the linear output of a model into a probability value from 0 to 1. It’s used mainly for cases where the variable is categorical. The model learns from the data by finding the best set of weights (also the coefficients of the curve) that minimize the error between the model’s predicted and actual values. Logistic regression is useful since it’s simple, easy to interpret, and effective for simple classification problems and serves as a good introduction to machine learning. C: 3 minute data science Join our AI community for more posts like this @aibutsimple 🤖 #datascientist #computerengineering #deeplearning #computerscience #math #mathematics #ml #logisticregression #machinelearning #datascience #education #coding #programming #learning #courses #bootcamp #course
#Algorithms In Machine Learning Reel by @darshcoded - most machine learning models give you a prediction and a confidence score that means almost nothing in the real world. conformal prediction is the con
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@darshcoded
most machine learning models give you a prediction and a confidence score that means almost nothing in the real world. conformal prediction is the concept that actually fixes this and it is one of the most underrated ideas in applied machine learning right now. instead of a single prediction it gives you a statistically guaranteed range of possible answers so you know exactly how much to trust your model. in healthcare, finance, and any high stakes production environment this is not optional it is necessary. Comment “ML” for the roadmap + resources I used to learn ML. #machinelearning #python #datascience #ai
#Algorithms In Machine Learning Reel by @inside.code - Graham scan algorithm animated!
Full video in the YouTube channel

#algorithms #computerscience #programming
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@inside.code
Graham scan algorithm animated! Full video in the YouTube channel #algorithms #computerscience #programming
#Algorithms In Machine Learning Reel by @mar_antaya (verified account) - Making building your own ML model a little less intimidating if it's your first time :) #ai #machinelearning
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@mar_antaya
Making building your own ML model a little less intimidating if it’s your first time :) #ai #machinelearning
#Algorithms In Machine Learning Reel by @sambhav_athreya - I've been asked many times where to start learning ML, so after talking to so many experts in this field, this is a good place to start. 

Comment dow
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@sambhav_athreya
I’ve been asked many times where to start learning ML, so after talking to so many experts in this field, this is a good place to start. Comment down below “TRAIN” and I’ll send you a more in-depth checklist along with the best GitHub links to help you start learning each concept. If you don’t receive the link you either need to follow first then comment, or your instagram is outdated. Either way, no worries. send me a dm and I’ll get it to you ASAP. #cs #ai #dev #university #softwareengineer #viral #advice #machinelearning
#Algorithms In Machine Learning Reel by @pikacodes (verified account) - 2025 machine learning roadmap - it's time to start prepping for AI's takeover 💡🤖 resources mentioned:

VIDEO: 
Full Applied AI Lectures by Cassie Ko
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@pikacodes
2025 machine learning roadmap - it’s time to start prepping for AI’s takeover 💡🤖 resources mentioned: VIDEO: Full Applied AI Lectures by Cassie Kozyrkov Neural Networks: Zero to Hero by Andrej Karpathy Machine Learning Specialization by Andrew Ng BOOKS: An Introduction to Statistical Learning Mathematics for Machine Learninf Artificial Intelligence: A Modern Approach FOR PRACTICE: Machine Learning with PyTorch and Scikit-Learn AIML.com . . #machinelearning #ai #resources #tech #programming #womenintech #coder #programacao #latinasintech #swe

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