Linear
Artificial Intelligence
Theoretical Deep Dive into Linear Regression The Data Generation Process What Are We Actually Minimizing? Minimize The Loss Function Conclusion
You need to use some other prior distribution on your parameters to create more interesting regularizations. You may even say that your parameters w are normally distributed but with some correlation matrix Σ.Allow...
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:...
Boosting Your Method to SuccessImagine running a relay race. Each runner improves upon the previous one’s performance, and together, they win the race. That’s how these algorithms work — every latest model compensates for...
Artificial Intelligence
Exploring Gradient Boosting vs Linear Regression: Selecting the Best Prediction Tool and Developing a Streamlit App Creating your project’s environment Using VSCode for data evaluation Data Treatment Data...
Hey there! I’m Ana, a knowledge enthusiast and a machine learning apprentice. Welcome to my first post on Medium, where I’ll be sharing my journey and insights into the exciting world of knowledge evaluation...
Artificial Intelligence
The Matrix Algebra of Linear Regression
Looking under the hood on the matrix operations behind linear regression11 min read·12 hours agoFitted ValuesWe've got now used some linear algebra to seek out the best-fitting parameters for a straightforward linear regression model....
Artificial Intelligence
Linear Regression In Depth (Part 2) Multiple Linear Regression Definition Closed-Form Solution Multiple Linear Regression Example Linear Regression in Scikit-Learn Analyzing the Regression Errors Gradient Descent The SGDRegressor Class Key Takeaways
Deep Dive into Multiple Linear Regression with Examples in PythonLet’s reduce the training rate from 0.01 to 0.001 by changing the parameter eta0 of the SGDRegressor:pipeline.set_params(reg__eta0=0.001)Let’s refit the pipeline to the training set and...
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...
How the common-or-garden prediction method shows us the method to Generative AIThere are many writings about Generative AI. There are essays dedicated to its applications, ethical and moral issues, and its risk to human...
Artificial Intelligence
Mastering Linear Regression: The Definitive Guide For Aspiring Data Scientists What can we mean by “regression evaluation”? Understanding correlation The difference between correlation and regression The Linear Regression...
All it's worthwhile to find out about Linear Regression is here (including an application in Python)Whatever the undeniable fact that we’ve obtained an R² of 0.73 on the test set which is nice (but...
Artificial Intelligence
Mastering Linear Regression: The Definitive Guide For Aspiring Data Scientists What can we mean by “regression evaluation”? Understanding correlation The difference between correlation and regression The Linear Regression...
All you should learn about Linear Regression is here (including an application in Python)Whatever the incontrovertible fact that we’ve obtained an R² of 0.73 on the test set which is sweet (but remember: the...
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