Introduction to Data-driven Business -Welcome and Introduction
Welcome and Introduction
()
Introduction to Data-driven Business -Data-driven Decision Making for Data-centric Organizations
Data-driven Decision Making for Data-centric Organizations
()
Data-driven Decision Making for Data-centric Organizations
Introduction to Data-driven Business -What's Big Data? How Does It Relate to Data Science?
What's Big Data? How Does It Relate to Data Science?
()
What's Big Data? How Does It Relate to Data Science?
Terminology and Foundational Concepts-Success Story: Data Science at Netflix
Success Story: Data Science at Netflix
()
Success Story: Data Science at Netflix
Terminology and Foundational Concepts-Machine Learning
Machine Learning
()
Machine Learning slides
Terminology and Foundational Concepts-Solving Problems: Programming vs. Machine Learning
Solving Problems: Programming vs. Machine Learning
()
Solving Problems: Programming vs. Machine Learning
Data Science Methods for Business-Linear Regression for Price Prediction
Linear Regression for Price Prediction
()
Linear Regression for Product Price Prediction
Data Science Methods for Business-Classification of User-generated Content to Recommend Restaurants
Classification of User-generated Content to Recommend Restaurants
()
Classification User-generated Content to Recommend Restaurants
Data Science Methods for Business-Product Recommendation Using Decision Trees and Random Forests
Product Recommendation Using Decision Trees and Random Forests
()
Product Recommendation Using Decision Trees and Random Forests
Data Science Methods for Business-Logistic Regression for HR Management
Hiring Employees Using Logistic Regression
()
Hiring Employees Using Logistic Regression
Data Science Methods for Business-K-means Clustering
K-means Clustering
()
Using k-means for Clustering
Challenges and Conclusions-Data Science Challenges
Data Science Challenges
()
Data Science Challenges
Challenges and Conclusions-Conclusions
Conclusions
()