KDnuggets

AUGUST 26, 2019

Understanding Decision Trees for Classification in Python; How to Become More Marketable as a Data Scientist; Is Kaggle Learn a Faster Data Science Education? Also: Deep Learning for NLP: Creating a Chatbot with Keras!;

Data Scientist 124

Data Scientist Decision Trees Deep Learning Deep Learning 124

Towards AI

MARCH 17, 2024

With applications in all the same places as plain old AI, XAI has a tangible role in promoting trust and transparency and enhancing user experience in data science and artificial intelligence. Explainable AI is focused on helping us poor, computationally inefficient humans understand how AI “thinks.”

AI 105

AI AI Decision Trees Artificial Intelligence 105

Data Science Dojo

AUGUST 16, 2023

2019: Transformers are used to create large language models (LLMs) such as BERT and GPT-2. Interpretability: Transformer models are not as interpretable as other machine learning models, such as decision trees and logistic regression. 2020: LLMs are used to create even more powerful models such as GPT-3.

Natural Language Processing 195

Natural Language Processing Decision Trees Deep Learning Deep Learning 195

Data Science Dojo

AUGUST 16, 2023

2019: Transformers are used to create large language models (LLMs) such as BERT and GPT-2. Interpretability: Transformer models are not as interpretable as other machine learning models, such as decision trees and logistic regression. 2020: LLMs are used to create even more powerful models such as GPT-3.

Natural Language Processing 195

Natural Language Processing Decision Trees Deep Learning Deep Learning 195

AWS Machine Learning Blog

SEPTEMBER 10, 2024

In this post, we detail our collaboration in creating two proof of concept (PoC) exercises around multi-modal machine learning for survival analysis and cancer sub-typing, using genomic (gene expression, mutation and copy number variant data) and imaging (histopathology slides) data. He received his M.Sc.

Supervised Learning 90

Supervised Learning Machine Learning Machine Learning AWS 90

Mlearning.ai

AUGUST 20, 2023

Decision Trees and Random Forests are scale-invariant. 2019) Data Science with Python. 2019) Applied Supervised Learning with Python. 2019) Python Machine Learning. Feature scaling ensures that each feature has an effect on a model’s prediction. References: Chopra, R., England, A. and Alaudeen, M.

Machine Learning 52

Machine Learning Machine Learning Algorithm Python 52

Heartbeat

SEPTEMBER 13, 2023

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. Russell, C. & & Watcher, S.

Machine Learning 52

Machine Learning Machine Learning AI AI 52