Remove 2020 Remove Data Science Remove Decision Trees
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Handling Trees in Data Science Algorithmic Interview

KDnuggets

This post is about fast-tracking the study and explanation of tree concepts for the data scientists so that you breeze through the next time you get asked these in an interview.

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Top Stories, Jan 13-19: Math for Programmers!; Decision Tree Algorithm, Explained

KDnuggets

Also: Top 9 Mobile Apps for Learning and Practicing Data Science; Classify A Rare Event Using 5 Machine Learning Algorithms; The Future of Machine Learning; The Book to Start You on Machine Learning.

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Generative vs Discriminative AI: Understanding the 5 Key Differences

Data Science Dojo

Released in 2020, AlphaFold leverages deep learning algorithms to accurately predict the 3D structure of proteins from their amino acid sequences, outperforming traditional methods by a significant margin.

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Transformer Models: The future of Natural Language Processing

Data Science Dojo

2020: LLMs are used to create even more powerful models such as GPT-3. Interpretability: Transformer models are not as interpretable as other machine learning models, such as decision trees and logistic regression. publish the paper “Attention is All You Need”, which introduces the transformer model.

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Transformer Models: The future of Natural Language Processing

Data Science Dojo

2020: LLMs are used to create even more powerful models such as GPT-3. Interpretability: Transformer models are not as interpretable as other machine learning models, such as decision trees and logistic regression. publish the paper “Attention is All You Need”, which introduces the transformer model.

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Explainability in AI and Machine Learning Systems: An Overview

Heartbeat

The " Decision Tree " is a popular example of the rule-based model that offers interpretable insights into how the model arrives at its decisions. Decision trees can be trained and visualized in rule-based explanations to reveal the underlying decision logic. References Castillo, D. Russell, C. &

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Reimagining Time-Aware Modeling with Eureqa

DataRobot

Instead of a predefined model structure– such as a linear model, neural network activation functions, or successive decision tree splits– Eureqa generates novel, specialized mathematical formulas, much like a physicist would write to describe the laws of nature. What Makes Eureqa Models Different from other Models.