Interpretable Machine Learning
Interpretable Machine Learning

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„Interpretable Machine Learning“

Interpretable Machine Learning is a field of study that focuses on understanding and interpreting the decisions made by complex machine learning models. It uses techniques such as visualizations, algorithms, and explainable AI to gain insight into how a model works and why it produces certain results. With Interpretable Machine Learning, it is possible to identify potential biases and errors in the model and make changes to improve its accuracy.

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Ozette Technologies

New York, United States
1-10 Employees

Technology & Applications - Ozette Technologies

... Ozette Technologies interpretable machine-learning method discovers and annotates cell populations, leveraging cloud computing to massively serialize analysis resulting in an automated single-cell analysis platform with unprecedented speed, dimensionality, and annotation depth. ...

Technology & Applications - Ozette Technologies
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MLtechniques.com

Issaquah, United States
1-10 Employees

Little Known Secrets about Interpretable Machine Learning on Synthetic Data - Machine Learning Techniques

... Entitled “Little Known Secrets about Interpretable Machine Learning on Synthetic Data”, the full version in PDF format is accessible in the “Free Books and Articles” section, here. This first article in a new series on synthetic data and explainable AI, focuses on making linear regression ...

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Project Rōnin

United States
11-50 Employees

On the importance of interpretable machine learning predictions to inform clinical decision-making in oncology — Ronin

... On the importance of interpretable machine learning predictions to inform clinical decision-making in oncology — ...

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Sphaeric.ai

Cincinnati, United States
1-10 Employees

Model Interpretation: The missing link between machine learning, healthcare and the FDA? - Sphaeric.ai

... Interpretable machine learning techniques could help address some of these questions. ...

Model Interpretation: The missing link between machine learning, healthcare and the FDA? - Sphaeric.ai
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MLDots

Mumbai, India
1-10 Employees

Unveiling the Black Box of AI Algorithms :Interpretable Machine Learning - ML Dots

... Interpretable machine learning techniques aim to shed light on these black box models, providing insights into their decision-making process. In this article, we explore the concept of interpretable machine learning, discuss its importance, and provide code examples to demonstrate ...

Unveiling the Black Box of AI Algorithms :Interpretable Machine Learning - ML Dots
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Essential Data Science Training GmbH

Munich, Germany
1-10 Employees

Interpretable Machine Learning in R — Datenanalyse in R & Python | Kurse in München

... Im Kurs wird das Package iml: interpretable machine learning eingeführt und einfache Übungsaufgaben damit bearbeitet. ...

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IoT Misr

Cairo, Egypt
11-50 Employees

Interpretable Machine Learning through Teaching - IoT Misr

... Interpretable Machine Learning through Teaching - IoT ...

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Data4Cure Inc.

San Diego, United States
11-50 Employees

Data4Cure:Solutions

... Combinatorial biomarkers and predictive models via interpretable machine learning modeling. ...

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Velexi Corporation

Burlingame, United States
1-10 Employees

About | Velexi

... Genomics seems to be a promising field for building interpretable machine learning models. We created machine learning approaches for analyzing raw tumor suppressor genetic sequence data, focusing specifically on determining reference genes from randomly extracted k-mers, which is a ...

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ART-AI Bath

Bath, United Kingdom
11-50 Employees

Recording of 'Mathematical imaging' with Carola-Bibiane Schönlieb - ART-AI

... ‘An interpretable machine learning workflow for statistical inference’ with Andreas ...

Recording of 'Mathematical imaging' with Carola-Bibiane Schönlieb - ART-AI

ART-AI Annual Report 2021-2022 - ART-AI

... ‘An interpretable machine learning workflow for statistical inference’ with Andreas ...

ART-AI Annual Report 2021-2022 - ART-AI