Brian Wang

20 Followers

0 SlideShares 2 Clipboards 20 Followers 23 Followings

0 SlideShares 2 Clipboards 20 Followers 23 Followings

Experienced Full Stack Senior Data Scientist in Recommender Systems, Marketing Automation, Predictive Modeling, Machine Learning, Lead Scoring, Data Mining, Big Data Analytics, Information Retrieval and Cold Start Project. Interested in using latest machine learning approaches, including FTRL, Factorization Machines, Bandit, Ensemble, AutoML, Tensorflow technologies to crack critical business challenges. Developing next generation Webscale Real Time Recommendation Algorithm for various applications.

Deep Learning for Recommender Systems - Budapest RecSys Meetup

Alexandros Karatzoglou • 6 years ago

Notes from Coursera Deep Learning courses by Andrew Ng

Tess Ferrandez • 4 years ago

Recommender System with Distributed Representation

Rakuten Group, Inc. • 7 years ago

Feature engineering-ml-meetup2-170220185754

Sergey Makarevich • 5 years ago

Efficient Data Storage for Analytics with Apache Parquet 2.0

Cloudera, Inc. • 8 years ago

Machine Learning and Data Mining: 14 Evaluation and Credibility

Pier Luca Lanzi • 15 years ago

Bayesian Personalized Ranking for Non-Uniformly Sampled Items

Zeno Gantner • 11 years ago

Business Applications of Predictive Modeling at Scale - KDD 2016 Tutorial

Qiang Zhu • 6 years ago

[系列活動] 手把手的深度學習實務

台灣資料科學年會 • 6 years ago

Social Party 分享: 從眾效應真的存在嗎？ Social Influence Bias: A Randomized Experiment

小均張 • 8 years ago

Chapter - 8.1 Data Mining Concepts and Techniques 2nd Ed slides Han & Kamber

error007 • 9 years ago

Factorization Machines with libFM

Liangjie Hong • 10 years ago

Mobile Is Eating the World (2015)

a16z • 7 years ago

Culture

Reed Hastings • 13 years ago

Big Data and Advanced Analytics

McKinsey on Marketing & Sales • 9 years ago

Analysis of financial performance for Alphabet (Google)

Mekko Graphics • 6 years ago

Activity
About

Deep Learning for Recommender Systems - Budapest RecSys Meetup

Alexandros Karatzoglou • 6 years ago

Notes from Coursera Deep Learning courses by Andrew Ng

Tess Ferrandez • 4 years ago

Recommender System with Distributed Representation

Rakuten Group, Inc. • 7 years ago

Feature engineering-ml-meetup2-170220185754

Sergey Makarevich • 5 years ago

Efficient Data Storage for Analytics with Apache Parquet 2.0

Cloudera, Inc. • 8 years ago

Machine Learning and Data Mining: 14 Evaluation and Credibility

Pier Luca Lanzi • 15 years ago

Bayesian Personalized Ranking for Non-Uniformly Sampled Items

Zeno Gantner • 11 years ago

Business Applications of Predictive Modeling at Scale - KDD 2016 Tutorial

Qiang Zhu • 6 years ago

[系列活動] 手把手的深度學習實務

台灣資料科學年會 • 6 years ago

Social Party 分享: 從眾效應真的存在嗎？ Social Influence Bias: A Randomized Experiment

小均張 • 8 years ago

Chapter - 8.1 Data Mining Concepts and Techniques 2nd Ed slides Han & Kamber

error007 • 9 years ago

Factorization Machines with libFM

Liangjie Hong • 10 years ago

Mobile Is Eating the World (2015)

a16z • 7 years ago

Culture

Reed Hastings • 13 years ago

Big Data and Advanced Analytics

McKinsey on Marketing & Sales • 9 years ago

Analysis of financial performance for Alphabet (Google)

Mekko Graphics • 6 years ago

Experienced Full Stack Senior Data Scientist in Recommender Systems, Marketing Automation, Predictive Modeling, Machine Learning, Lead Scoring, Data Mining, Big Data Analytics, Information Retrieval and Cold Start Project. Interested in using latest machine learning approaches, including FTRL, Factorization Machines, Bandit, Ensemble, AutoML, Tensorflow technologies to crack critical business challenges. Developing next generation Webscale Real Time Recommendation Algorithm for various applications.