Dev Patel articles - 86 total
The Moral Machine: Ethics in AI and the Rise of MLOps
Deep dive into undefined - Essential concepts for machine learning practitioners.
What is Computer Vision?
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Core Concepts: Decoding Human Language
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What is Transfer Learning?
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The Vanishing Gradient Problem: A Memory Lapse in RNNs
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Understanding the Sequential Nature of Data
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Understanding Convolutions: The Sliding Window of Insight
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What is Backpropagation?
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Decoding the Neural Network's Mind: A Journey Through Forward Propagation
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The Perceptron: The Brain Cell of a Neural Network
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Diving Deep: Understanding the Mechanics
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What is the Bias-Variance Trade-off?
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Diving Deep: K-Fold Cross-Validation
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Decoding the Secrets of Your Machine Learning Model: Confusion Matrices, ROC Curves, and AUC
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Decoding the Detective Work: Understanding Model Evaluation Metrics for Classification
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Decoding the Metrics: Understanding Model Evaluation in Regression
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What is PCA? A Simplified Explanation
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Understanding the Core Concepts: From Data Mountains to Informative Peaks
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Unveiling the Secrets of Data Grouping: A Deep Dive into Hierarchical Clustering and DBSCAN
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What is K-Means Clustering?
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What are Ensemble Methods and Boosting?
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What are Ensemble Methods, Bagging, and Random Forests?
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Understanding Information Gain: Choosing the Right Questions
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Understanding Decision Trees
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The Core Idea: Finding the Best Separator
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Unlocking the Power of Support Vector Machines: Hyperplanes and Margin Maximization
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Understanding the KNN Algorithm: Finding Your Nearest Neighbors
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Decoding the Magic: Logistic Regression, Cross-Entropy, and Optimization
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Diving Deep into Logistic Regression: Sigmoid, Probabilities, and Predictive Power
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Taming the Wild Beast: Understanding Ridge and Lasso Regression
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