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Top 10 Machine Learning Algorithms Every Programmer Should Know #1. Linear Regression: The Oldie but Goodie #2. Logistic Regression: It’s Not All About Numbers #3. Decision Trees: Make Decisions Like a Machine #4. Naive Bayes: A Sincere Approach to Classifying #5. K-Nearest Neighbors (K-NN): Birds of the Same Feather #6. Support Vector Machines (SVM): Playing the Field #7. K-Means Clustering: Finding Your Tribe #8. Random Forest: More Trees, Please! #9. Neural Networks: Mimicking the Human Brain #10. Gradient Boosting & AdaBoost: Boosting Your Method to Success Wrapping Up Our Wild Ride Through the World of Machine Learning Level Up Coding
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June 6, 2023
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Artificial Intelligence
Mastering Logistic Regression Background: Binary Classification Problems The Logistic Regression Model Log Loss Gradient Descent Implementation in Python The LogisticRegression Class in Scikit-Learn Summary
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May 23, 2023
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Artificial Intelligence
From Basic Gates to Deep Neural Networks: The Definitive Perceptron Tutorial Table of Contents 1. Introduction 2. The Mathematics Behind the Perceptron Model 3. The Perceptron Model as a Binary Classifier 4. Logic Gates and the Perceptron Model 5. Perceptrons for Multiplication and Transistor-like Functionality 6. Comparing the Perceptron Model to Logistic Regression 7. Creative and Unique Applications of the Perceptron Model 8. The Evolution of the Perceptron Model and Legacy in Deep Learning 9. Conclusion References Contact
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May 1, 2023
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