#65 Preventing Fraud in eCommerce with Data Science (with Elad Cohen)

DataCamp · Intermediate ·📄 Research Papers Explained ·4y ago

In this episode of DataFramed, Adel speaks with Elad Cohen, VP of Data Science and Research at Riskified on how data science is being used to combat fraud in eCommerce. Throughout the episode, Elad talks about his background, the plethora of data science use-cases in eCommerce, how Riskified builds state-of-the-art fraud detection models, common pitfalls data teams face, his best practices gaining organizational buy-in for data projects, how data scientists should focus on value, whether they should have engineering skills, and more. Here are some interesting reads: Providing Financial Inclu…

Watch on YouTube ↗ (saves to browser)

Playlist

Uploads from DataCamp · DataCamp · 0 of 60

← Previous Next →

SQL Server Tutorial: Date manipulation

SQL Server Tutorial: Date manipulation

R Tutorial: Intermediate Interactive Data Visualization with plotly in R

R Tutorial: Intermediate Interactive Data Visualization with plotly in R

R Tutorial: Adding aesthetics to represent a variable

R Tutorial: Adding aesthetics to represent a variable

R Tutorial: Moving Beyond Simple Interactivity

R Tutorial: Moving Beyond Simple Interactivity

Python Tutorial: Why use ML for marketing? Strategies and use cases

Python Tutorial: Why use ML for marketing? Strategies and use cases

Python Tutorial: Preparation for modeling

Python Tutorial: Preparation for modeling

Python Tutorial: Machine Learning modeling steps

Python Tutorial: Machine Learning modeling steps

R Tutorial: The prior model

R Tutorial: The prior model

R Tutorial: Data & the likelihood

R Tutorial: Data & the likelihood

R Tutorial: The posterior model

R Tutorial: The posterior model

R Tutorial: An Introduction to plotly

R Tutorial: An Introduction to plotly

R Tutorial: Plotting a single variable

R Tutorial: Plotting a single variable

R Tutorial: Bivariate graphics

R Tutorial: Bivariate graphics

Python Tutorial: Customer Segmentation in Python

Python Tutorial: Customer Segmentation in Python

Python Tutorial: Time cohorts

Python Tutorial: Time cohorts

Python Tutorial: Calculate cohort metrics

Python Tutorial: Calculate cohort metrics

Python Tutorial: Cohort analysis visualization

Python Tutorial: Cohort analysis visualization

R Tutorial: Building Dashboards with flexdashboard

R Tutorial: Building Dashboards with flexdashboard

R Tutorial: Anatomy of a flexdashboard

R Tutorial: Anatomy of a flexdashboard

R Tutorial: Layout basics

R Tutorial: Layout basics

R Tutorial: Advanced layouts

R Tutorial: Advanced layouts

Python Tutorial: Time Series Analysis in Python

Python Tutorial: Time Series Analysis in Python

Python Tutorial: Correlation of Two Time Series

Python Tutorial: Correlation of Two Time Series

Python Tutorial: Simple Linear Regressions

Python Tutorial: Simple Linear Regressions

Python Tutorial: Autocorrelation

Python Tutorial: Autocorrelation

R Tutorial: The gapminder dataset

R Tutorial: The gapminder dataset

R Tutorial: The filter verb

R Tutorial: The filter verb

R Tutorial: The arrange verb

R Tutorial: The arrange verb

R Tutorial: The mutate verb

R Tutorial: The mutate verb

R Tutorial: What is cluster analysis?

R Tutorial: What is cluster analysis?

R Tutorial: Distance between two observations

R Tutorial: Distance between two observations

R Tutorial: The importance of scale

R Tutorial: The importance of scale

R Tutorial: Measuring distance for categorical data

R Tutorial: Measuring distance for categorical data

Python Tutorial: Plotting multiple graphs

Python Tutorial: Plotting multiple graphs

Python Tutorial: Customizing axes

Python Tutorial: Customizing axes

Python Tutorial: Legends, annotations, & styles

Python Tutorial: Legends, annotations, & styles

Python Tutorial: Introduction to iterators

Python Tutorial: Introduction to iterators

Python Tutorial: Playing with iterators

Python Tutorial: Playing with iterators

Python Tutorial: Using iterators to load large files into memory

Python Tutorial: Using iterators to load large files into memory

SQL Tutorial: Introduction to Relational Databases in SQL

SQL Tutorial: Introduction to Relational Databases in SQL

SQL Tutorial: Tables: At the core of every database

SQL Tutorial: Tables: At the core of every database

SQL Tutorial: Update your database as the structure changes

SQL Tutorial: Update your database as the structure changes

Python Tutorial: Classification-Tree Learning

Python Tutorial: Classification-Tree Learning

Python Tutorial: Decision-Tree for Classification

Python Tutorial: Decision-Tree for Classification

Python Tutorial: Decision-Tree for Regression

Python Tutorial: Decision-Tree for Regression

Python Tutorial: Census Subject Tables

Python Tutorial: Census Subject Tables

Python Tutorial: Census Geography

Python Tutorial: Census Geography

Python Tutorial: Using the Census API

Python Tutorial: Using the Census API

R Tutorial: A/B Testing in R

R Tutorial: A/B Testing in R

R Tutorial: Baseline Conversion Rates

R Tutorial: Baseline Conversion Rates

R Tutorial: Designing an Experiment - Power Analysis

R Tutorial: Designing an Experiment - Power Analysis

R Tutorial: Introduction to qualitative data

R Tutorial: Introduction to qualitative data

R Tutorial: Understanding your qualitative variables

R Tutorial: Understanding your qualitative variables

R Tutorial: Making Better Plots

R Tutorial: Making Better Plots

SQL Tutorial: OLTP and OLAP

SQL Tutorial: OLTP and OLAP

SQL Tutorial: Storing data

SQL Tutorial: Storing data

SQL Tutorial: Database design

SQL Tutorial: Database design

Python Tutorial: Introduction to spaCy

Python Tutorial: Introduction to spaCy

Python Tutorial: Statistical Models

Python Tutorial: Statistical Models

Python Tutorial: Rule-based Matching

Python Tutorial: Rule-based Matching

The Secret Spy Tech Inside Every Credit Card

The Secret Spy Tech Inside Every Credit Card