計劃進修PhD/Research討論區 (3)

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2017-03-10 10:00:50

我知喎,你間野得你一個香港人fit 你個profile
你俾既information 足夠俾我起底

真心我無特登搵 大家係到開心吹水咪好

我發覺做左researcher 咁耐
好鍾意睇人地個profile

我google site未update


你advisor IO 幾出名

auction 同contract theory出名d

有無link?
2017-03-10 10:10:19

真心我無特登搵 大家係到開心吹水咪好

我發覺做左researcher 咁耐
好鍾意睇人地個profile

我google site未update


你advisor IO 幾出名

auction 同contract theory出名d

有無link?

等佢自爆
2017-03-10 10:12:28
有個frd有alibaba economist既interview question
要下面四題揀一題十日內寫一篇essay
俾你地睇下
Q1. (Monetization Models in a Two-sided Market) e-Commerce platforms differ in their monetization models. Some charge listing fees, others rely primarily on sales commission while a firm like Alibaba derives its revenue from advertising. What are the pros and cons of each approach and what determines the ‘optimal’ monetization model? What are the metrics you would use to judge the effectiveness of a monetization model? Both under- and over-monetization are undesirable.

Q2. (The Optimal Entry Barrier) What is an ‘optimal’ level of entry barrier in an e-commerce market? In a mature e-commerce platform, complaints about information overload and ‘over-competition’ are common. Can there be ‘too many’ sellers? What metrics would you monitor? Suppose that we don’t have sellers’ cost data. Try to answer this question without building a structural model.

Q3. (The Future of Retail) American retail has gone through multiple episodes of drastic change in the past 50 years. Despite the meteoric rise of Amazon, names like Walmart and Costco still hold the top spots in terms of total revenue. Will Amazon over-take Walmart eventually? Why and why not? Please focus on the most important factors to consider. You can also start from a historical perspective.

Q4. (Matching) Matching supply with demand is the ultimate challenge in an e-commerce marketplace. Most websites reply on recommendation algorithms that are variants of the collaborative filtering technique. What are the potential problems with this approach? How to build economic insights into the algorithm to improve its efficiency? Can you derive metrics to monitor the effectiveness of buyer-product matching in an e-commerce environment? Please go beyond simple metrics such as conversion rate and transaction volume.
2017-03-10 10:13:08
有個frd有alibaba economist既interview question
要下面四題揀一題十日內寫一篇essay
俾你地睇下
Q1. (Monetization Models in a Two-sided Market) e-Commerce platforms differ in their monetization models. Some charge listing fees, others rely primarily on sales commission while a firm like Alibaba derives its revenue from advertising. What are the pros and cons of each approach and what determines the ‘optimal’ monetization model? What are the metrics you would use to judge the effectiveness of a monetization model? Both under- and over-monetization are undesirable.

Q2. (The Optimal Entry Barrier) What is an ‘optimal’ level of entry barrier in an e-commerce market? In a mature e-commerce platform, complaints about information overload and ‘over-competition’ are common. Can there be ‘too many’ sellers? What metrics would you monitor? Suppose that we don’t have sellers’ cost data. Try to answer this question without building a structural model.

Q3. (The Future of Retail) American retail has gone through multiple episodes of drastic change in the past 50 years. Despite the meteoric rise of Amazon, names like Walmart and Costco still hold the top spots in terms of total revenue. Will Amazon over-take Walmart eventually? Why and why not? Please focus on the most important factors to consider. You can also start from a historical perspective.

Q4. (Matching) Matching supply with demand is the ultimate challenge in an e-commerce marketplace. Most websites reply on recommendation algorithms that are variants of the collaborative filtering technique. What are the potential problems with this approach? How to build economic insights into the algorithm to improve its efficiency? Can you derive metrics to monitor the effectiveness of buyer-product matching in an e-commerce environment? Please go beyond simple metrics such as conversion rate and transaction volume.

不過佢無諗住去
2017-03-10 10:20:13
有個frd有alibaba economist既interview question
要下面四題揀一題十日內寫一篇essay
俾你地睇下
Q1. (Monetization Models in a Two-sided Market) e-Commerce platforms differ in their monetization models. Some charge listing fees, others rely primarily on sales commission while a firm like Alibaba derives its revenue from advertising. What are the pros and cons of each approach and what determines the ‘optimal’ monetization model? What are the metrics you would use to judge the effectiveness of a monetization model? Both under- and over-monetization are undesirable.

Q2. (The Optimal Entry Barrier) What is an ‘optimal’ level of entry barrier in an e-commerce market? In a mature e-commerce platform, complaints about information overload and ‘over-competition’ are common. Can there be ‘too many’ sellers? What metrics would you monitor? Suppose that we don’t have sellers’ cost data. Try to answer this question without building a structural model.

Q3. (The Future of Retail) American retail has gone through multiple episodes of drastic change in the past 50 years. Despite the meteoric rise of Amazon, names like Walmart and Costco still hold the top spots in terms of total revenue. Will Amazon over-take Walmart eventually? Why and why not? Please focus on the most important factors to consider. You can also start from a historical perspective.

Q4. (Matching) Matching supply with demand is the ultimate challenge in an e-commerce marketplace. Most websites reply on recommendation algorithms that are variants of the collaborative filtering technique. What are the potential problems with this approach? How to build economic insights into the algorithm to improve its efficiency? Can you derive metrics to monitor the effectiveness of buyer-product matching in an e-commerce environment? Please go beyond simple metrics such as conversion rate and transaction volume.

不過佢無諗住去

整體黎講我覺得幾好答wor, 特別如果我答2,3會有排講,因為同我而家做緊既野好有關係 比我簡既話會簡第2條,因為發揮空間實在太多
Btw點建你朋友唔去?
2017-03-10 10:23:39
有個frd有alibaba economist既interview question
要下面四題揀一題十日內寫一篇essay
俾你地睇下
Q1. (Monetization Models in a Two-sided Market) e-Commerce platforms differ in their monetization models. Some charge listing fees, others rely primarily on sales commission while a firm like Alibaba derives its revenue from advertising. What are the pros and cons of each approach and what determines the ‘optimal’ monetization model? What are the metrics you would use to judge the effectiveness of a monetization model? Both under- and over-monetization are undesirable.

Q2. (The Optimal Entry Barrier) What is an ‘optimal’ level of entry barrier in an e-commerce market? In a mature e-commerce platform, complaints about information overload and ‘over-competition’ are common. Can there be ‘too many’ sellers? What metrics would you monitor? Suppose that we don’t have sellers’ cost data. Try to answer this question without building a structural model.

Q3. (The Future of Retail) American retail has gone through multiple episodes of drastic change in the past 50 years. Despite the meteoric rise of Amazon, names like Walmart and Costco still hold the top spots in terms of total revenue. Will Amazon over-take Walmart eventually? Why and why not? Please focus on the most important factors to consider. You can also start from a historical perspective.

Q4. (Matching) Matching supply with demand is the ultimate challenge in an e-commerce marketplace. Most websites reply on recommendation algorithms that are variants of the collaborative filtering technique. What are the potential problems with this approach? How to build economic insights into the algorithm to improve its efficiency? Can you derive metrics to monitor the effectiveness of buyer-product matching in an e-commerce environment? Please go beyond simple metrics such as conversion rate and transaction volume.

不過佢無諗住去

整體黎講我覺得幾好答wor, 特別如果我答2,3會有排講,因為同我而家做緊既野好有關係 比我簡既話會簡第2條,因為發揮空間實在太多
Btw點建你朋友唔去?

因為已經accept左其他position
我無打requirement
篇essay要有literature review, theoretical framework同empirical strategy
2017-03-10 10:25:40
有個frd有alibaba economist既interview question
要下面四題揀一題十日內寫一篇essay
俾你地睇下
Q1. (Monetization Models in a Two-sided Market) e-Commerce platforms differ in their monetization models. Some charge listing fees, others rely primarily on sales commission while a firm like Alibaba derives its revenue from advertising. What are the pros and cons of each approach and what determines the ‘optimal’ monetization model? What are the metrics you would use to judge the effectiveness of a monetization model? Both under- and over-monetization are undesirable.

Q2. (The Optimal Entry Barrier) What is an ‘optimal’ level of entry barrier in an e-commerce market? In a mature e-commerce platform, complaints about information overload and ‘over-competition’ are common. Can there be ‘too many’ sellers? What metrics would you monitor? Suppose that we don’t have sellers’ cost data. Try to answer this question without building a structural model.

Q3. (The Future of Retail) American retail has gone through multiple episodes of drastic change in the past 50 years. Despite the meteoric rise of Amazon, names like Walmart and Costco still hold the top spots in terms of total revenue. Will Amazon over-take Walmart eventually? Why and why not? Please focus on the most important factors to consider. You can also start from a historical perspective.

Q4. (Matching) Matching supply with demand is the ultimate challenge in an e-commerce marketplace. Most websites reply on recommendation algorithms that are variants of the collaborative filtering technique. What are the potential problems with this approach? How to build economic insights into the algorithm to improve its efficiency? Can you derive metrics to monitor the effectiveness of buyer-product matching in an e-commerce environment? Please go beyond simple metrics such as conversion rate and transaction volume.

不過佢無諗住去

整體黎講我覺得幾好答wor, 特別如果我答2,3會有排講,因為同我而家做緊既野好有關係 比我簡既話會簡第2條,因為發揮空間實在太多
Btw點建你朋友唔去?

因為已經accept左其他position
我無打requirement
篇essay要有literature review, theoretical framework同empirical strategy

者係同寫份proposal一樣
你朋友accept左咩position
2017-03-10 10:25:41
有個frd有alibaba economist既interview question
要下面四題揀一題十日內寫一篇essay
俾你地睇下
Q1. (Monetization Models in a Two-sided Market) e-Commerce platforms differ in their monetization models. Some charge listing fees, others rely primarily on sales commission while a firm like Alibaba derives its revenue from advertising. What are the pros and cons of each approach and what determines the ‘optimal’ monetization model? What are the metrics you would use to judge the effectiveness of a monetization model? Both under- and over-monetization are undesirable.

Q2. (The Optimal Entry Barrier) What is an ‘optimal’ level of entry barrier in an e-commerce market? In a mature e-commerce platform, complaints about information overload and ‘over-competition’ are common. Can there be ‘too many’ sellers? What metrics would you monitor? Suppose that we don’t have sellers’ cost data. Try to answer this question without building a structural model.

Q3. (The Future of Retail) American retail has gone through multiple episodes of drastic change in the past 50 years. Despite the meteoric rise of Amazon, names like Walmart and Costco still hold the top spots in terms of total revenue. Will Amazon over-take Walmart eventually? Why and why not? Please focus on the most important factors to consider. You can also start from a historical perspective.

Q4. (Matching) Matching supply with demand is the ultimate challenge in an e-commerce marketplace. Most websites reply on recommendation algorithms that are variants of the collaborative filtering technique. What are the potential problems with this approach? How to build economic insights into the algorithm to improve its efficiency? Can you derive metrics to monitor the effectiveness of buyer-product matching in an e-commerce environment? Please go beyond simple metrics such as conversion rate and transaction volume.

不過佢無諗住去

整體黎講我覺得幾好答wor, 特別如果我答2,3會有排講,因為同我而家做緊既野好有關係 比我簡既話會簡第2條,因為發揮空間實在太多
Btw點建你朋友唔去?

因為已經accept左其他position
我無打requirement
篇essay要有literature review, theoretical framework同empirical strategy

巴打做information overload有關既野?
2017-03-10 10:26:04
有個frd有alibaba economist既interview question
要下面四題揀一題十日內寫一篇essay
俾你地睇下
Q1. (Monetization Models in a Two-sided Market) e-Commerce platforms differ in their monetization models. Some charge listing fees, others rely primarily on sales commission while a firm like Alibaba derives its revenue from advertising. What are the pros and cons of each approach and what determines the ‘optimal’ monetization model? What are the metrics you would use to judge the effectiveness of a monetization model? Both under- and over-monetization are undesirable.

Q2. (The Optimal Entry Barrier) What is an ‘optimal’ level of entry barrier in an e-commerce market? In a mature e-commerce platform, complaints about information overload and ‘over-competition’ are common. Can there be ‘too many’ sellers? What metrics would you monitor? Suppose that we don’t have sellers’ cost data. Try to answer this question without building a structural model.

Q3. (The Future of Retail) American retail has gone through multiple episodes of drastic change in the past 50 years. Despite the meteoric rise of Amazon, names like Walmart and Costco still hold the top spots in terms of total revenue. Will Amazon over-take Walmart eventually? Why and why not? Please focus on the most important factors to consider. You can also start from a historical perspective.

Q4. (Matching) Matching supply with demand is the ultimate challenge in an e-commerce marketplace. Most websites reply on recommendation algorithms that are variants of the collaborative filtering technique. What are the potential problems with this approach? How to build economic insights into the algorithm to improve its efficiency? Can you derive metrics to monitor the effectiveness of buyer-product matching in an e-commerce environment? Please go beyond simple metrics such as conversion rate and transaction volume.

不過佢無諗住去

整體黎講我覺得幾好答wor, 特別如果我答2,3會有排講,因為同我而家做緊既野好有關係 比我簡既話會簡第2條,因為發揮空間實在太多
Btw點建你朋友唔去?

因為已經accept左其他position
我無打requirement
篇essay要有literature review, theoretical framework同empirical strategy

者係同寫份proposal一樣
你朋友accept左咩position

Academic position
2017-03-10 10:26:33
有個frd有alibaba economist既interview question
要下面四題揀一題十日內寫一篇essay
俾你地睇下
Q1. (Monetization Models in a Two-sided Market) e-Commerce platforms differ in their monetization models. Some charge listing fees, others rely primarily on sales commission while a firm like Alibaba derives its revenue from advertising. What are the pros and cons of each approach and what determines the ‘optimal’ monetization model? What are the metrics you would use to judge the effectiveness of a monetization model? Both under- and over-monetization are undesirable.

Q2. (The Optimal Entry Barrier) What is an ‘optimal’ level of entry barrier in an e-commerce market? In a mature e-commerce platform, complaints about information overload and ‘over-competition’ are common. Can there be ‘too many’ sellers? What metrics would you monitor? Suppose that we don’t have sellers’ cost data. Try to answer this question without building a structural model.

Q3. (The Future of Retail) American retail has gone through multiple episodes of drastic change in the past 50 years. Despite the meteoric rise of Amazon, names like Walmart and Costco still hold the top spots in terms of total revenue. Will Amazon over-take Walmart eventually? Why and why not? Please focus on the most important factors to consider. You can also start from a historical perspective.

Q4. (Matching) Matching supply with demand is the ultimate challenge in an e-commerce marketplace. Most websites reply on recommendation algorithms that are variants of the collaborative filtering technique. What are the potential problems with this approach? How to build economic insights into the algorithm to improve its efficiency? Can you derive metrics to monitor the effectiveness of buyer-product matching in an e-commerce environment? Please go beyond simple metrics such as conversion rate and transaction volume.

不過佢無諗住去

整體黎講我覺得幾好答wor, 特別如果我答2,3會有排講,因為同我而家做緊既野好有關係 比我簡既話會簡第2條,因為發揮空間實在太多
Btw點建你朋友唔去?

因為已經accept左其他position
我無打requirement
篇essay要有literature review, theoretical framework同empirical strategy

巴打做information overload有關既野?

E-business strategies in customer and business levels
2017-03-10 10:26:52
有個frd有alibaba economist既interview question
要下面四題揀一題十日內寫一篇essay
俾你地睇下
Q1. (Monetization Models in a Two-sided Market) e-Commerce platforms differ in their monetization models. Some charge listing fees, others rely primarily on sales commission while a firm like Alibaba derives its revenue from advertising. What are the pros and cons of each approach and what determines the ‘optimal’ monetization model? What are the metrics you would use to judge the effectiveness of a monetization model? Both under- and over-monetization are undesirable.

Q2. (The Optimal Entry Barrier) What is an ‘optimal’ level of entry barrier in an e-commerce market? In a mature e-commerce platform, complaints about information overload and ‘over-competition’ are common. Can there be ‘too many’ sellers? What metrics would you monitor? Suppose that we don’t have sellers’ cost data. Try to answer this question without building a structural model.

Q3. (The Future of Retail) American retail has gone through multiple episodes of drastic change in the past 50 years. Despite the meteoric rise of Amazon, names like Walmart and Costco still hold the top spots in terms of total revenue. Will Amazon over-take Walmart eventually? Why and why not? Please focus on the most important factors to consider. You can also start from a historical perspective.

Q4. (Matching) Matching supply with demand is the ultimate challenge in an e-commerce marketplace. Most websites reply on recommendation algorithms that are variants of the collaborative filtering technique. What are the potential problems with this approach? How to build economic insights into the algorithm to improve its efficiency? Can you derive metrics to monitor the effectiveness of buyer-product matching in an e-commerce environment? Please go beyond simple metrics such as conversion rate and transaction volume.

不過佢無諗住去

整體黎講我覺得幾好答wor, 特別如果我答2,3會有排講,因為同我而家做緊既野好有關係 比我簡既話會簡第2條,因為發揮空間實在太多
Btw點建你朋友唔去?

因為已經accept左其他position
我無打requirement
篇essay要有literature review, theoretical framework同empirical strategy

者係同寫份proposal一樣
你朋友accept左咩position

Academic position

咁比我都會咁簡 好合理
2017-03-10 10:34:45
有個frd有alibaba economist既interview question
要下面四題揀一題十日內寫一篇essay
俾你地睇下
Q1. (Monetization Models in a Two-sided Market) e-Commerce platforms differ in their monetization models. Some charge listing fees, others rely primarily on sales commission while a firm like Alibaba derives its revenue from advertising. What are the pros and cons of each approach and what determines the ‘optimal’ monetization model? What are the metrics you would use to judge the effectiveness of a monetization model? Both under- and over-monetization are undesirable.

Q2. (The Optimal Entry Barrier) What is an ‘optimal’ level of entry barrier in an e-commerce market? In a mature e-commerce platform, complaints about information overload and ‘over-competition’ are common. Can there be ‘too many’ sellers? What metrics would you monitor? Suppose that we don’t have sellers’ cost data. Try to answer this question without building a structural model.

Q3. (The Future of Retail) American retail has gone through multiple episodes of drastic change in the past 50 years. Despite the meteoric rise of Amazon, names like Walmart and Costco still hold the top spots in terms of total revenue. Will Amazon over-take Walmart eventually? Why and why not? Please focus on the most important factors to consider. You can also start from a historical perspective.

Q4. (Matching) Matching supply with demand is the ultimate challenge in an e-commerce marketplace. Most websites reply on recommendation algorithms that are variants of the collaborative filtering technique. What are the potential problems with this approach? How to build economic insights into the algorithm to improve its efficiency? Can you derive metrics to monitor the effectiveness of buyer-product matching in an e-commerce environment? Please go beyond simple metrics such as conversion rate and transaction volume.

不過佢無諗住去

整體黎講我覺得幾好答wor, 特別如果我答2,3會有排講,因為同我而家做緊既野好有關係 比我簡既話會簡第2條,因為發揮空間實在太多
Btw點建你朋友唔去?

因為已經accept左其他position
我無打requirement
篇essay要有literature review, theoretical framework同empirical strategy

者係同寫份proposal一樣
你朋友accept左咩position

Academic position

咁比我都會咁簡 好合理

私人唔係通常好pay d同無academia咁辛苦咩?
2017-03-10 11:55:28
有個frd有alibaba economist既interview question
要下面四題揀一題十日內寫一篇essay
俾你地睇下
Q1. (Monetization Models in a Two-sided Market) e-Commerce platforms differ in their monetization models. Some charge listing fees, others rely primarily on sales commission while a firm like Alibaba derives its revenue from advertising. What are the pros and cons of each approach and what determines the ‘optimal’ monetization model? What are the metrics you would use to judge the effectiveness of a monetization model? Both under- and over-monetization are undesirable.

Q2. (The Optimal Entry Barrier) What is an ‘optimal’ level of entry barrier in an e-commerce market? In a mature e-commerce platform, complaints about information overload and ‘over-competition’ are common. Can there be ‘too many’ sellers? What metrics would you monitor? Suppose that we don’t have sellers’ cost data. Try to answer this question without building a structural model.

Q3. (The Future of Retail) American retail has gone through multiple episodes of drastic change in the past 50 years. Despite the meteoric rise of Amazon, names like Walmart and Costco still hold the top spots in terms of total revenue. Will Amazon over-take Walmart eventually? Why and why not? Please focus on the most important factors to consider. You can also start from a historical perspective.

Q4. (Matching) Matching supply with demand is the ultimate challenge in an e-commerce marketplace. Most websites reply on recommendation algorithms that are variants of the collaborative filtering technique. What are the potential problems with this approach? How to build economic insights into the algorithm to improve its efficiency? Can you derive metrics to monitor the effectiveness of buyer-product matching in an e-commerce environment? Please go beyond simple metrics such as conversion rate and transaction volume.

不過佢無諗住去

整體黎講我覺得幾好答wor, 特別如果我答2,3會有排講,因為同我而家做緊既野好有關係 比我簡既話會簡第2條,因為發揮空間實在太多
Btw點建你朋友唔去?

因為已經accept左其他position
我無打requirement
篇essay要有literature review, theoretical framework同empirical strategy

者係同寫份proposal一樣
你朋友accept左咩position

Academic position

咁比我都會咁簡 好合理

私人唔係通常好pay d同無academia咁辛苦咩?

怕辛苦同想好Pay一開始就唔會去讀咁多年書
2017-03-10 11:57:10
psy/sosci
maths
econ
engine?
仲有無
有無it/computing
2017-03-10 11:57:15

但IO同applied micro我個間一定勁好多

目前確實揸手既offer有maryland, WUSTL, toronto, virginia
唔係好識簡

唔係好熟 留番俾其他巴打解答
有無睇過faculty list有咩potential advisor
睇下去到可以搵邊個

係偏心美帝既情況下,我會簡WUSTL

但係WUSTL窄好多喎
econ department主要玩theory/macro
b-school嗰邊IO唔錯

但係無得玩behavioral/political/development

因為我印象中virginia maryland level 差唔多,specific 勁既area我唔係知得太深入sosad

virginia academic placement好差 多數唔會考慮
我仲未認真搵referee傾呀


重有冇學校等緊?
個人覺得Toronto 同 Maryland 好啲
特別係你Toronto 有屋企人

我自己都係傾向Maryland
2017-03-10 12:35:41

整體黎講我覺得幾好答wor, 特別如果我答2,3會有排講,因為同我而家做緊既野好有關係 比我簡既話會簡第2條,因為發揮空間實在太多
Btw點建你朋友唔去?

因為已經accept左其他position
我無打requirement
篇essay要有literature review, theoretical framework同empirical strategy

者係同寫份proposal一樣
你朋友accept左咩position

Academic position

咁比我都會咁簡 好合理

私人唔係通常好pay d同無academia咁辛苦咩?

怕辛苦同想好Pay一開始就唔會去讀咁多年書

同期既大學同學搵多幾倍錢
2017-03-10 12:35:45
psy/sosci
maths
econ
engine?
仲有無
有無it/computing

Machine Learning/vision算唔算
2017-03-10 12:39:06
2017-03-10 12:47:31
點解加拿大咁保護自己D國民
2017-03-10 13:01:19
psy/sosci
maths
econ
engine?
仲有無
有無it/computing

有無environmental/climate
2017-03-10 13:02:24
psy/sosci
maths
econ
engine?
仲有無
有無it/computing

Machine Learning/vision算唔算

我個ex而家好似都準備玩machine learning
2017-03-10 13:05:21
點解加拿大咁保護自己D國民


其他方面我又唔覺 唯獨係PG/professional program (law, med, dentistry, etc)特別保護自己友

From UT Econ:

"Yes, we use the same criteria to evaluate all applications. However, the university gives us quotas for the numbers of foreign and Canadian students we can admit, and the quota for the number of foreign students, as a fraction of the number of applications from foreign students, is tiny compared with the quota for the number of Canadian students as a fraction of the number of applications from Canadian students."

"For our PhD program, we receive around 70 applications from domestic students and 150 applications from international students. Each year, we admit around 15 domestic students and 2 international students."
2017-03-10 13:16:19
點解加拿大咁保護自己D國民


其他方面我又唔覺 唯獨係PG/professional program (law, med, dentistry, etc)特別保護自己友

From UT Econ:

"Yes, we use the same criteria to evaluate all applications. However, the university gives us quotas for the numbers of foreign and Canadian students we can admit, and the quota for the number of foreign students, as a fraction of the number of applications from foreign students, is tiny compared with the quota for the number of Canadian students as a fraction of the number of applications from Canadian students."

"For our PhD program, we receive around 70 applications from domestic students and 150 applications from international students. Each year, we admit around 15 domestic students and 2 international students."

2/150 vs 15/70 屌
2017-03-10 14:03:39
psy/sosci
maths
econ
engine?
仲有無
有無it/computing

Machine Learning/vision算唔算

我個ex而家好似都準備玩machine learning

maching learning
text mining揮手
2017-03-10 14:12:58
psy/sosci
maths
econ
engine?
仲有無
有無it/computing

Machine Learning/vision算唔算

我個ex而家好似都準備玩machine learning

maching learning
text mining揮手

Hmm or Rnn/lstm?

我想試下rnn/reinforcement learning做image classifer
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