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adventureworks

AdventureWorks Development

advertisementar

A new and immersive way to advertise products!

airbnb-newuser-booking

Machine learning competition on kaggle

artificial-intelligence--cognitive-computing-artificial-intelligence-industry-tools-and-technolo

In this report, we briefly explain cognitive technology and artificial intelligence methodologies and their roles in business and government, then we dive into our specific industry of focus – the Media and Entertainment Industry. While this industry consists of film, print, radio, television, video games, and music, we will take a look at topics particularly relating to digital media and entertainment. Most of the advances in this industry have been in streaming platforms for music and television, as well as breakthroughs in Hollywood film production and gaming. We will discuss these developments and how the use of artificial intelligence and cognitive technologies continues to be a driving factor in company competitiveness and sustainability. This is an industry where offering broad, generalized services is no longer the standard – with both services and advertising. With music and television streaming services, like Netflix and Spotify, we discuss how these industry leaders use personalized content and recommendations to serve both their customers and their advertisers. In the past, advertisers would pay to have their ads randomly played between breaks of a show’s episode; but now, ads are tailored to specific viewers based on factors like age, if you are a parent, gender, etc. based on specific shows that are geared to certain demographics. Not only can companies see an increase of sales and website traffic due to this customization, users can come across products and services that otherwise they may not have heard about that would benefit their lifestyle; plus, streaming services are able to increase the advertising fee due to this customization, boosting advertising revenue. It is a win-win for all involved. We also interview a small movie director, who has noticed and benefited from this technology first hand. We will discuss his experience with these technological advances in this field. As great as these technologies are, this industry also faces just as many challenges as they do opportunities. We will discuss these in this report, as well as short-term and long-term impacts of these technologies on the industry, such as privacy concerns and unemployment.

awesome-deep-learning-papers-for-search-recommendation-advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.

content

The content behind MDN Web Docs

data-mining-classification-algorithm.-fcm-db-scan-k-mean-

GUI Base user friendly implementation of data mining and machine learning classification algorithms (DB-SCAN, FCM, K-Mean)

data-science--cheat-sheet

Cheat Sheets

dsin

Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

github-slideshow

A robot powered training repository :robot:

homework1

homewrok2

introduction-to-machine-learning

This repo will house all our course material and code snippets from the Introduction to Machine Learning Class

multidimensionalproject-prediction-products

prediction-products

sql-server-samples

Official Microsoft GitHub Repository containing code samples for SQL Server

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks