Machine Learning News Hubb
Advertisement Banner
  • Home
  • Machine Learning
  • Artificial Intelligence
  • Big Data
  • Deep Learning
  • Edge AI
  • Neural Network
  • Contact Us
  • Home
  • Machine Learning
  • Artificial Intelligence
  • Big Data
  • Deep Learning
  • Edge AI
  • Neural Network
  • Contact Us
Machine Learning News Hubb
No Result
View All Result
Home Machine Learning

Advanced Machine Learning with Basic Excel | by Vincent Granville | Sep, 2022

admin by admin
September 12, 2022
in Machine Learning


Ensemble methods combining many mini decision trees, blended with regression, explained in simple English with both Excel and Python implementations. Case study: natural language processing (NLP) problem. Ideal reading for professionals who want to start light with Machine Learning (say with Excel) and get very fast to much more advanced material and Python. The Python code is not just a call to some blackbox functions, but a full-fledge detailed procedure on its own. This algorithm is in the same category as boosting, bagging, stacking and AdaBoost.

Extract from the spreadsheet

Abstract

The method described here illustrates the concept of ensemble methods, applied to a real life NLP problem: ranking articles published on a website to predict performance of future blog posts yet to be written, and help decide on title and other features to maximize traffic volume and quality, and thus revenue. The method, called hidden decision trees (HDT), implicitly builds a large number of small usable (possibly overlapping) decision trees. Observations that don’t fit in any usable node are classified with an alternate method, typically simplified logistic regression.

This hybrid procedure offers the best of both worlds: decision tree combos and regression models. It is intuitive and simple to implement. The code is written in Python, and I also offer a light version in basic Excel. The interactive Excel version is targeted to analysts interested in learning Python or machine learning. HDT fits in the same category as bagging, boosting, stacking and adaBoost. This article encourages you to understand all the details, upgrade the technique if needed, and play with the full code or spreadsheet as if you wrote it yourself. This is in contrast with using blackbox Python functions without understanding their inner workings and limitations. Finally, I discuss how to build model-free confidence intervals for the predicted values.

Read full article here.



Source link

Previous Post

Intelligent Crop Recommendation Portal Using ML and DL | by Amanul Rahiman Shamshuddin Attar | Sep, 2022

Next Post

GloVe and fastText Clearly Explained: Extracting Features from Text Data | by Albers Uzila | Sep, 2022

Next Post

GloVe and fastText Clearly Explained: Extracting Features from Text Data | by Albers Uzila | Sep, 2022

Beginner Guide of spaCy. In this guide, you will be doing… | by Fareed Khan | Sep, 2022

Batch Normalization in Deep Leaning | by Suraj Yadav | Sep, 2022

Related Post

Artificial Intelligence

Exploring TensorFlow Model Prediction Issues | by Adam Brownell | Feb, 2023

by admin
February 2, 2023
Machine Learning

Different Loss Functions used in Regression | by Iqra Bismi | Feb, 2023

by admin
February 2, 2023
Machine Learning

How to organize bills? – 3 ways to track bills

by admin
February 2, 2023
Artificial Intelligence

How to decide between Amazon Rekognition image and video API for video moderation

by admin
February 2, 2023
Artificial Intelligence

The Future of AI: GPT-3 vs GPT-4: A Comparative Analysis | by Mohd Saqib | Jan, 2023

by admin
February 2, 2023
Deep Learning

6 Ways To Streamline Tech Hiring With A Recruitment Automation Platform

by admin
February 2, 2023

© 2023 Machine Learning News Hubb All rights reserved.

Use of these names, logos, and brands does not imply endorsement unless specified. By using this site, you agree to the Privacy Policy and Terms & Conditions.

Navigate Site

  • Home
  • Machine Learning
  • Artificial Intelligence
  • Big Data
  • Deep Learning
  • Edge AI
  • Neural Network
  • Contact Us

Newsletter Sign Up.

No Result
View All Result
  • Home
  • Machine Learning
  • Artificial Intelligence
  • Big Data
  • Deep Learning
  • Edge AI
  • Neural Network
  • Contact Us

© 2023 JNews - Premium WordPress news & magazine theme by Jegtheme.