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Artificial Intelligence
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
Naive Bayes Classification Background: Bayes’ Theorem The Naive Bayes Model Bernoulli Naive Bayes Categorical Naive Bayes Multinomial Naive Bayes Laplace Smoothing Gaussian Naive Bayes Naive Bayes Classifiers in Scikit-Learn Document Classification Example Summary Final Notes
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June 5, 2023
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Artificial Intelligence
Linear Regression to GPT in Seven Steps Step 1: Prediction by Linear Regression Step 2: Prediction by Neural Networks Step 3: Prediction on a word Step 4: Prediction for Naive Translation Step 5: Prediction with Context Step 6: Prediction of Next Word Step 7: Prediction for Generative AI Summary
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April 26, 2023
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Artificial Intelligence
How one can Discover Fuzzy Duplicates in Your Tabular Dataset The Naive Approach CSVDedupe Conclusion
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March 31, 2023
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