From a46ef87924b3a14fb9338067f24dc91a9ecee8ef Mon Sep 17 00:00:00 2001 From: Potter Hsu Date: Sun, 24 Sep 2017 22:32:36 +0800 Subject: [PATCH 1/2] Update README.md --- README.md | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/README.md b/README.md index 88a5c41..30c747b 100644 --- a/README.md +++ b/README.md @@ -6,3 +6,11 @@ https://docs.google.com/spreadsheets/d/153XruMO7DPONzBTkxh8ZoYSto1E_2zO021vs0prW First come first serve! ------- Write here + +Michael Jordan, is a renowned statistician from Berkeley. He is the Pehong Chen Distinguished Professlor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley. Before that, he taught at MIT. + +Mochael has much experience in probabilistic graphical models, spectral methods, natural language processing and statistical genetics. He is a leading figure in machine learning and Bayesian nonparametrics and also a gifted teacher, both he and his student's are luminaries in the world of machine learning. A well known expert Andrew Ng is also on this list. + +[background] [student] +[work] [research] +[view of points] From 9f78a25938869257a97c719a612d714edc655a05 Mon Sep 17 00:00:00 2001 From: Potter Hsu Date: Sun, 24 Sep 2017 22:56:52 +0800 Subject: [PATCH 2/2] Update README.md --- README.md | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 30c747b..9ee9195 100644 --- a/README.md +++ b/README.md @@ -9,8 +9,6 @@ Write here Michael Jordan, is a renowned statistician from Berkeley. He is the Pehong Chen Distinguished Professlor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley. Before that, he taught at MIT. -Mochael has much experience in probabilistic graphical models, spectral methods, natural language processing and statistical genetics. He is a leading figure in machine learning and Bayesian nonparametrics and also a gifted teacher, both he and his student's are luminaries in the world of machine learning. A well known expert Andrew Ng is also on this list. +Michael has much experience in probabilistic graphical models, spectral methods, natural language processing and statistical genetics. He is a leading figure in machine learning and Bayesian nonparametrics and also a gifted teacher, both he and his student's are luminaries in the world of machine learning. A well known expert Andrew Ng is also on this list. -[background] [student] -[work] [research] -[view of points] +Michael is currently in the context of the AMP(Algorithms, Machines, People) Lab, which is working at the intersection of three massive trends: powerful machine learning, cloud computing, and crowdsourcing. He has lots of awesome publications, such as `Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning`, `Automating Model Search for Large Scale Machine Learning`, `A Linearly-Convergent Stochastic L-BFGS Algorithm`, `SparkNet: Training Deep Networks on Spark`, `CYCLADES: Conflict-free Asynchronous Machine Learning`, and more.