Brian Wang
0 SlideShares 2 Clipboards 20 Abonné 23 Suivis
Personal Information
Entreprise/Lieu de travail
San Francisco Bay Area United States
Profession
Senior Data Scientist at Oracle Adaptive Intelligent Applications
Secteur d’activité
Advertising / Marketing / PR
Site Web
https://brianwang.youcanbook.me/
À propos
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.
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J’aime (16)
Tout voir
Deep Learning for Recommender Systems - Budapest RecSys Meetup
Alexandros Karatzoglou • il y a 6 ans
Notes from Coursera Deep Learning courses by Andrew Ng
Tess Ferrandez • il y a 4 ans
Recommender System with Distributed Representation
Rakuten Group, Inc. • il y a 7 ans
Feature engineering-ml-meetup2-170220185754
Sergey Makarevich • il y a 5 ans
Efficient Data Storage for Analytics with Apache Parquet 2.0
Cloudera, Inc. • il y a 8 ans
Machine Learning and Data Mining: 14 Evaluation and Credibility
Pier Luca Lanzi • il y a 15 ans
Bayesian Personalized Ranking for Non-Uniformly Sampled Items
Zeno Gantner • il y a 11 ans
Business Applications of Predictive Modeling at Scale - KDD 2016 Tutorial
Qiang Zhu • il y a 6 ans
[系列活動] 手把手的深度學習實務
台灣資料科學年會 • il y a 6 ans
Social Party 分享: 從眾效應真的存在嗎？ Social Influence Bias: A Randomized Experiment
小均 張 • il y a 8 ans
Chapter - 8.1 Data Mining Concepts and Techniques 2nd Ed slides Han & Kamber
error007 • il y a 9 ans
Factorization Machines with libFM
Liangjie Hong • il y a 10 ans
Mobile Is Eating the World (2015)
a16z • il y a 7 ans
Culture
Reed Hastings • il y a 13 ans
Big Data and Advanced Analytics
McKinsey on Marketing & Sales • il y a 9 ans
Analysis of financial performance for Alphabet (Google)
Mekko Graphics • il y a 6 ans
J’aime (16)
Tout voir
Deep Learning for Recommender Systems - Budapest RecSys Meetup
Alexandros Karatzoglou • il y a 6 ans
Notes from Coursera Deep Learning courses by Andrew Ng
Tess Ferrandez • il y a 4 ans
Recommender System with Distributed Representation
Rakuten Group, Inc. • il y a 7 ans
Feature engineering-ml-meetup2-170220185754
Sergey Makarevich • il y a 5 ans
Efficient Data Storage for Analytics with Apache Parquet 2.0
Cloudera, Inc. • il y a 8 ans
Machine Learning and Data Mining: 14 Evaluation and Credibility
Pier Luca Lanzi • il y a 15 ans
Bayesian Personalized Ranking for Non-Uniformly Sampled Items
Zeno Gantner • il y a 11 ans
Business Applications of Predictive Modeling at Scale - KDD 2016 Tutorial
Qiang Zhu • il y a 6 ans
[系列活動] 手把手的深度學習實務
台灣資料科學年會 • il y a 6 ans
Social Party 分享: 從眾效應真的存在嗎？ Social Influence Bias: A Randomized Experiment
小均 張 • il y a 8 ans
Chapter - 8.1 Data Mining Concepts and Techniques 2nd Ed slides Han & Kamber
error007 • il y a 9 ans
Factorization Machines with libFM
Liangjie Hong • il y a 10 ans
Mobile Is Eating the World (2015)
a16z • il y a 7 ans
Culture
Reed Hastings • il y a 13 ans
Big Data and Advanced Analytics
McKinsey on Marketing & Sales • il y a 9 ans
Analysis of financial performance for Alphabet (Google)
Mekko Graphics • il y a 6 ans
Personal Information
Entreprise/Lieu de travail
San Francisco Bay Area United States
Profession
Senior Data Scientist at Oracle Adaptive Intelligent Applications
Secteur d’activité
Advertising / Marketing / PR
Site Web
https://brianwang.youcanbook.me/
À propos
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.
Coordonnées