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AI • Machine Learning • Tech on Instagram: "Gradient descent is an important AI algorithm that helps machine learning models learn by improving themselves over time. Imagine you’re trying to find the lowest point in a landscape with hills while blindfolded—you’d take small steps in the direction that feels downhill. Similarly, gradient descent adjusts a model’s internal parameters (weights and biases in a neural network) by calculating the direction and size of the “step” needed to reduce error—

AI • Machine Learning • Tech on Instagram: "Gradient descent is an important AI algorithm that helps machine learning models learn by improving themselves over time. Imagine you’re trying to find the lowest point in a landscape with hills while blindfolded—you’d take small steps in the direction that feels downhill. Similarly, gradient descent adjusts a model’s internal parameters (weights and biases in a neural network) by calculating the direction and size of the “step” needed to reduce error—

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Artificial Intelligence | AI on Instagram: "K-Nearest Neighbours (KNN) is a simple and intuitive supervised machine learning algorithm that makes predictions based on how similar things are to each other. They can be used for classification and regression. Imagine you have a scatter plot with red and blue points, where red points represent one class and blue points represent another class. Now, let’s say you get a new data point you haven’t seen before, and want to know if it should be red or bl

Artificial Intelligence | AI on Instagram: "K-Nearest Neighbours (KNN) is a simple and intuitive supervised machine learning algorithm that makes predictions based on how similar things are to each other. They can be used for classification and regression. Imagine you have a scatter plot with red and blue points, where red points represent one class and blue points represent another class. Now, let’s say you get a new data point you haven’t seen before, and want to know if it should be red or bl

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Data Science | ML | AI Community 👩‍🏫 on Instagram: "📍Day 40: Most Common Machine Learning Algorithms Cheatsheet. Share this reel and send a screenshot, we will DM the PDF version for FREE👇 1. Linear regression: Linear regression is a model that estimates the relationship between a scalar response (dependent variable) and one or more explanatory variables (regressor or independent variable). 2. Logistic regression: Logistic regression is a classification algorithm utilized for probability pre

Data Science | ML | AI Community 👩‍🏫 on Instagram: "📍Day 40: Most Common Machine Learning Algorithms Cheatsheet. Share this reel and send a screenshot, we will DM the PDF version for FREE👇 1. Linear regression: Linear regression is a model that estimates the relationship between a scalar response (dependent variable) and one or more explanatory variables (regressor or independent variable). 2. Logistic regression: Logistic regression is a classification algorithm utilized for probability pre

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What is a Machine Learning Algorithm?

What is a Machine Learning Algorithm?

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10 types of machine learning algorithms

10 types of machine learning algorithms

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Top 9 ML Algorithms Explained Simply!

Top 9 ML Algorithms Explained Simply!

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Random Forests Explained in AI & Machine Learning

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Hanime Nation on Instagram: "An **algorithm** is essentially a recipe for solving a problem or completing a task. It's a crucial concept in computer science, forming the basis of computer programs, data analysis and artificial intelligence. #**Types of Algorithms** 1. **Search Algorithms** (e.g., Binary Search, Linear Search) 2. **Sorting Algorithms** (e.g., QuickSort, Merge sort, Bubble Sort) 3. **Graph Algorithms** (e.g., Dijkstra’s, BFS, DFS) 4. **Machine Learning Algorithms** (e.g., Neural N

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Bhai Code Krle on Instagram: "Machine Learning isn’t optional anymore… it’s survival. If you’re in college and still confused about AI/ML — this one’s for you. #techexplained #ai #codingisfun #dev #developer #webdev #india #hiring #fyp #viralvideos #israel #usa #placements #jobs #machinelearning #programming #jaishriram #jaishreekrishna #harharmahadev"

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AI in 1min on Instagram: "Data science interview question 11: Random Forest is a supervised machine learning algorithm that can be used for both classification and regression tasks. It works by building multiple decision trees during training, and the final output is determined based on the collective predictions of all the trees. For classification problems, the final output is the class predicted by the majority of the trees. For regression tasks, the final output is the average of all the pre

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AI • Machine Learning • Tech on Instagram: "Gradient descent is an optimization algorithm widely used in machine learning to minimize a loss function, which is a measure of how well a model’s predictions match the actual outcomes. In the gradient descent process, the model iteratively adjusts its parameters (its weights and biases) to reduce the loss. The parameters are adjusted based on the gradient, or partial derivatives, of the loss function with respect to each parameter. The gradient point

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Deeply AI: AI, ChatGPT, Robotics, Data Science on Instagram: "Logistic regression is a statistical method and machine learning algorithm used for binary classification, where the aim is to predict one of two possible outcomes (like yes or no). It works by producing probabilities through a logistic (sigmoid) function, which converts the linear model’s output into a value between 0 and 1. This makes it suitable for predicting categorical variables. The model learns by adjusting weights (or coeffic

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AI • Machine Learning • Tech on Instagram: "A neural network “learns” by adjusting its parameters (weights and biases) by increasing or decreasing them numerically so that the network can make increasingly more accurate predictions. The output is compared to the actual target values using a loss function, which quantifies the prediction error. To minimize the error, the network performs backpropagation, an algorithm that computes the gradient (set of all partial derivatives) of the loss with res

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AI • Machine Learning • Tech on Instagram: "In 2021, Adam Dhalla, a passionate high school student from Vancouver, Canada, recorded an impressive five‑hour lecture series on mathematics for neural networks and deep learning. His video, titled “The Complete Mathematics of Neural Networks and Deep Learning” covered everything from matrix calculus to cost-function gradients with full backpropagation. He accompanied the video with organized timestamps, a long syllabus and good production quality, sh

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‎Oumnia Hoummi | أمنية حمي 👩🏽‍💻‎ on Instagram: "Machine learning algorithm ⚡️ Machine learning model The machine learning series in on I hope you’ll enjoy it 🚀👩🏽‍💻"

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MichaeL | Teaching myself ML on Instagram: "What is this simple yet effective machine learning algorithm? ⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️ —-——-——-——-——-——-——-——-— **Study Group Info** Want to master Machine Learning? ➡️Comment “Study” to join my exclusive study group** —-——-——-——-——-——-——-——-— ⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️ —- ⏳ 1 H —- #math #ml #ai #machinelearning #artificialintelligence #DataScience #computerscience #quant #quantumcomputing"

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AI in 1min on Instagram: "Data science interview question: Logistic Regression? Logistic regression is a machine learning algorithm used for classification tasks, particularly when the outcome we want to predict falls into binary or categorical categories. For example, consider predicting whether a student will pass or fail an exam based on the number of hours they study. Logistic regression uses a mathematical model called the logistic or sigmoid function. This function maps the relationship be

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Machine Learning for Drug Discovery (Explained in 2 minutes)

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What Is Machine Learning? | Machine Learning Explained | Machine Learning | #Shorts | Simplilearn

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Unsupervised Learning Explained with Example!

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This Skill Doesn't Do What You Think...

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