Aijun Zhang

7 Followers

outcome analysis interpretability model validation machine learning dnn interpretableml automl consumer banking credit risk modeling quantitative risk management mathematics teaching microlecture calculus mmooc

Aktivität
Info

Math Talk Like TED (2015)

Vor 8 Jahren • 348 Aufrufe

Dual-time Modeling and Forecasting in Consumer Banking (2016)

Vor 6 Jahren • 456 Aufrufe

Automated Machine Learning via Sequential Uniform Designs

Vor 5 Jahren • 311 Aufrufe

Interpretability of Deep ReLU Networks

Vor 1 Jahr • 529 Aufrufe

Machine Learning Model Validation (Aijun Zhang 2024).pdf

Vor 1 Monat • 3391 Aufrufe

What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginners | Edureka

Edureka! • Vor 6 Jahren

Deep learning - A Visual Introduction

Lukas Masuch • Vor 8 Jahren

Notes from Coursera Deep Learning courses by Andrew Ng

Tess Ferrandez • Vor 6 Jahren

Applied Artificial Intelligence Digest 2017 Review

BootstrapLabs • Vor 6 Jahren

66 word by word picture dictionary second edition red (1)

Paola Saucedo • Vor 8 Jahren

[DSC 2016] 系列活動：李宏毅 / 一天搞懂深度學習

台灣資料科學年會 • Vor 7 Jahren

Deep Learning - The Past, Present and Future of Artificial Intelligence

Lukas Masuch • Vor 8 Jahren

Large Scale Deep Learning with TensorFlow

Jen Aman • Vor 7 Jahren

Data & Analytics Club - Data Visualization Workshop

nsrivast • Vor 8 Jahren

Separating Myth from Truth in Data Visualisation

Andy Kirk • Vor 7 Jahren

High Performance Machine Learning in R with H2O

Sri Ambati • Vor 8 Jahren

ggplot2.SparkR: Rebooting ggplot2 for Scalable Big Data Visualization by Jonghyun Bae, Sangoh Jeong, Wenjing Jin and Jae Lee

Spark Summit • Vor 8 Jahren

Xgboost

Vivian S. Zhang • Vor 8 Jahren

The Design of Time

Andy Kirk • Vor 9 Jahren

Using cohort analysis to understand your SaaS business | Growth Hacking Brussels

Universem • Vor 9 Jahren

Modeling and forecasting age-specific mortality: Lee-Carter method vs. Functional time series

hanshang • Vor 11 Jahren

Simple Cohort Analysis in Google Sheets

GoSquared • Vor 10 Jahren

Generalized Linear Models in Spark MLlib and SparkR

Databricks • Vor 8 Jahren

2016 Spark Summit East Keynote: Matei Zaharia

Databricks • Vor 8 Jahren

Jump Start into Apache® Spark™ and Databricks

Databricks • Vor 8 Jahren

R at Microsoft

Revolution Analytics • Vor 8 Jahren

Learning Analytics Dashboards

Sten Govaerts • Vor 9 Jahren

Compressed Sensing - Achuta Kadambi

Camera Culture Group, MIT Media Lab • Vor 10 Jahren

How Apache Spark fits into the Big Data landscape

Paco Nathan • Vor 9 Jahren

Flink history, roadmap and vision

Stephan Ewen • Vor 9 Jahren

Aijun Zhang

Präsentationen

Math Talk Like TED (2015)

Dual-time Modeling and Forecasting in Consumer Banking (2016)

Automated Machine Learning via Sequential Uniform Designs

Interpretability of Deep ReLU Networks

Machine Learning Model Validation (Aijun Zhang 2024).pdf

Gefällt mir

What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginners | Edureka

Deep learning - A Visual Introduction

Notes from Coursera Deep Learning courses by Andrew Ng

Applied Artificial Intelligence Digest 2017 Review

66 word by word picture dictionary second edition red (1)

[DSC 2016] 系列活動：李宏毅 / 一天搞懂深度學習

Deep Learning - The Past, Present and Future of Artificial Intelligence

Large Scale Deep Learning with TensorFlow

Data & Analytics Club - Data Visualization Workshop

Separating Myth from Truth in Data Visualisation

High Performance Machine Learning in R with H2O

ggplot2.SparkR: Rebooting ggplot2 for Scalable Big Data Visualization by Jonghyun Bae, Sangoh Jeong, Wenjing Jin and Jae Lee

Xgboost

The Design of Time

Using cohort analysis to understand your SaaS business | Growth Hacking Brussels

Modeling and forecasting age-specific mortality: Lee-Carter method vs. Functional time series

Simple Cohort Analysis in Google Sheets

Generalized Linear Models in Spark MLlib and SparkR

2016 Spark Summit East Keynote: Matei Zaharia

Jump Start into Apache® Spark™ and Databricks

R at Microsoft

Learning Analytics Dashboards

Compressed Sensing - Achuta Kadambi

How Apache Spark fits into the Big Data landscape

Flink history, roadmap and vision