計劃進修PhD/Research討論區 (5)

啱啱收到信有中研院同RIKEN既summer research intern offer
RIKEN雖然地位高過中研院 但係自己鍾意中研院個topic多D (particle VS nuclear)
想請問大家應該點揀,睇排名定睇興趣?

yr 1就去做research intern

膽粗粗寄信去問,以為成績唔夠top實冇影,估唔到因為識programming所以得左
btw有冇人識linux,佢要我自學用linux姐係點

sorry我會唔會搞到離咗題？ 明明講緊research

當然唔會

yr 1就去做research intern

膽粗粗寄信去問,以為成績唔夠top實冇影,估唔到因為識programming所以得左
btw有冇人識linux,佢要我自學用linux姐係點

你有無mac機

有,係咪切個bootcamp出黎裝左佢就得?

Mac 係unix base
同linux 相似
好多大既research center 都係用server linux
都係要識d 簡單command 點用terminal 咁
應該唔係太難

我用Vmware 當係一個application黎用，都好方便，唔洗退出macos

唔該曬大家幫手

買部Mac啦

統計署你要諗下你夠唔夠ug讀stat果班鬥 HA房署果d我就唔知啦

多謝巴打提點 我都係讀相關嘅野，不過無related exp搭救我覺得唔夠競爭力，所以先煩惱緊可唔可以用RA嘅exp加返啲分

btw, 我記得統計署同其他好多政府dept都有summer internship, 唔知而家仲有無？

我都係覺得多d govt exp會好d

年年都有架，不過grad咗重會收我做intern咩？

pg唔算在學咩

未讀 想過多年先讀

如果想出去打工，尤其私人工，RA經驗唔係太有用

多謝巴打提點 我都係讀相關嘅野，不過無related exp搭救我覺得唔夠競爭力，所以先煩惱緊可唔可以用RA嘅exp加返啲分

btw, 我記得統計署同其他好多政府dept都有summer internship, 唔知而家仲有無？

我都係覺得多d govt exp會好d

年年都有架，不過grad咗重會收我做intern咩？

pg唔算在學咩

未讀 想過多年先讀

如果想出去打工，尤其私人工，RA經驗唔係太有用

係呀，所以我都係建議入industry就拎多d工作經驗，特別係香港

膽粗粗寄信去問,以為成績唔夠top實冇影,估唔到因為識programming所以得左
btw有冇人識linux,佢要我自學用linux姐係點

你有無mac機

有,係咪切個bootcamp出黎裝左佢就得?

Mac 係unix base
同linux 相似
好多大既research center 都係用server linux
都係要識d 簡單command 點用terminal 咁
應該唔係太難

我用Vmware 當係一個application黎用，都好方便，唔洗退出macos

唔該曬大家幫手

買部Mac啦

我需要買，諗緊13定15 macbook pro

btw, 我記得統計署同其他好多政府dept都有summer internship, 唔知而家仲有無？

我都係覺得多d govt exp會好d

年年都有架，不過grad咗重會收我做intern咩？

pg唔算在學咩

未讀 想過多年先讀

如果想出去打工，尤其私人工，RA經驗唔係太有用

係呀，所以我都係建議入industry就拎多d工作經驗，特別係香港

邊考政府邊諗其他
好多fd都係咁，一兩年後就入左去做

你有無mac機

有,係咪切個bootcamp出黎裝左佢就得?

Mac 係unix base
同linux 相似
好多大既research center 都係用server linux
都係要識d 簡單command 點用terminal 咁
應該唔係太難

我用Vmware 當係一個application黎用，都好方便，唔洗退出macos

唔該曬大家幫手

買部Mac啦

我需要買，諗緊13定15 macbook pro

2016 13'mbpr

新版換d野就借機加價

有,係咪切個bootcamp出黎裝左佢就得?

Mac 係unix base
同linux 相似
好多大既research center 都係用server linux
都係要識d 簡單command 點用terminal 咁
應該唔係太難

我用Vmware 當係一個application黎用，都好方便，唔洗退出macos

唔該曬大家幫手

買部Mac啦

我需要買，諗緊13定15 macbook pro

2016 13'mbpr

新版換d野就借機加價

唔好買15.好鬼重

Optimization 其實學乜野

點optimize某objective subject to 唔同constraint (equality or inequality)
幾時有solution, 點計呀etc
深啲既有dynamic optimization, decision making over time etc.

like high school finding local maximum pt/minimum pt

Dynamic programming

讀緊game theory,入面有好多simplex optimization,用手計計到頭暈

Agger 好煩 nash bargaining solution

Dynamic programming 已經好好做。
Behavioral econ 有啲咩multi-selves agent, dynamically inconsistent agent, 連dynamic programming 都唔apply，煩到嘔泡。
Nash bargaining 亦都係最簡單，有幾多relationship中的surplus只係按bargaining power分。

好在我唔係modeling個邊

optimization其實係好正既topic 我做緊machine learning research
Machine learning入面好多algorithm 都係solve optimization problems
當中會用到好多real analysis同functional analysis既techniques
最正個位係可以自己諗某啲algorithms去solve某一類optimization problems然後paper

functional 同 real analysis 都好正

巴打講多啲 QM有好多banach space,想知多啲functional analysis做啲咩

我d FA已經唔記得七七八八 , 我更加唔識物理
某D Linear PDE可以用functional analysis的方法去deduce d property
e.g. compact operators
又可以用黎construct measures, e.g. Haar measure
同埋functional analysis本身會deal with d Banach / Hilbert spaces, 但係數學本身都會遇到呢D spaces, e.g. space of continuous functions, L^p spaces等等
probability都會見到, e.g. weak convergence
所以functional analysis算係analysis的基礎野 又要準備溫書考qualifying

analysis好難讀 巴打一定好醒目

我只係數學系的地底泥

我有本Rudin Functional，一頁都未睇過

Rudin本functional太chur啦

Optimization 其實學乜野

點optimize某objective subject to 唔同constraint (equality or inequality)
幾時有solution, 點計呀etc
深啲既有dynamic optimization, decision making over time etc.

like high school finding local maximum pt/minimum pt

Dynamic programming

讀緊game theory,入面有好多simplex optimization,用手計計到頭暈

Agger 好煩 nash bargaining solution

Dynamic programming 已經好好做。
Behavioral econ 有啲咩multi-selves agent, dynamically inconsistent agent, 連dynamic programming 都唔apply，煩到嘔泡。
Nash bargaining 亦都係最簡單，有幾多relationship中的surplus只係按bargaining power分。

好在我唔係modeling個邊

optimization其實係好正既topic 我做緊machine learning research
Machine learning入面好多algorithm 都係solve optimization problems
當中會用到好多real analysis同functional analysis既techniques
最正個位係可以自己諗某啲algorithms去solve某一類optimization problems然後paper

functional 同 real analysis 都好正

巴打講多啲 QM有好多banach space,想知多啲functional analysis做啲咩

我d FA已經唔記得七七八八 , 我更加唔識物理
某D Linear PDE可以用functional analysis的方法去deduce d property
e.g. compact operators
又可以用黎construct measures, e.g. Haar measure
同埋functional analysis本身會deal with d Banach / Hilbert spaces, 但係數學本身都會遇到呢D spaces, e.g. space of continuous functions, L^p spaces等等
probability都會見到, e.g. weak convergence
所以functional analysis算係analysis的基礎野 又要準備溫書考qualifying

analysis好難讀 巴打一定好醒目

巴打今個sem上莫毅明個anal？

自己睇下書咋,未take.諗住等下個sem鬼佬教會好grade D

係，ben kane教一定會好過莫毅明

唔係喎, 我覺得mok教得幾好, 可能係UST班人教得太差

睇axler本linear algebra done right睇到想死

如果覺得難可以睇 Strang本 intro to LA (無application果本)
Friedberg, Insel & Spence都ok
再唔岩就Serge Lang, 不過會advanced少少
各有各特色, 無一本cover哂另一本的野

Optimization 其實學乜野

點optimize某objective subject to 唔同constraint (equality or inequality)
幾時有solution, 點計呀etc
深啲既有dynamic optimization, decision making over time etc.

like high school finding local maximum pt/minimum pt

Dynamic programming

讀緊game theory,入面有好多simplex optimization,用手計計到頭暈

Agger 好煩 nash bargaining solution

Dynamic programming 已經好好做。
Behavioral econ 有啲咩multi-selves agent, dynamically inconsistent agent, 連dynamic programming 都唔apply，煩到嘔泡。
Nash bargaining 亦都係最簡單，有幾多relationship中的surplus只係按bargaining power分。

好在我唔係modeling個邊

optimization其實係好正既topic 我做緊machine learning research
Machine learning入面好多algorithm 都係solve optimization problems
當中會用到好多real analysis同functional analysis既techniques
最正個位係可以自己諗某啲algorithms去solve某一類optimization problems然後paper

functional 同 real analysis 都好正

巴打講多啲 QM有好多banach space,想知多啲functional analysis做啲咩

我d FA已經唔記得七七八八 , 我更加唔識物理
某D Linear PDE可以用functional analysis的方法去deduce d property
e.g. compact operators
又可以用黎construct measures, e.g. Haar measure
同埋functional analysis本身會deal with d Banach / Hilbert spaces, 但係數學本身都會遇到呢D spaces, e.g. space of continuous functions, L^p spaces等等
probability都會見到, e.g. weak convergence
所以functional analysis算係analysis的基礎野 又要準備溫書考qualifying

analysis好難讀 巴打一定好醒目

巴打今個sem上莫毅明個anal？

自己睇下書咋,未take.諗住等下個sem鬼佬教會好grade D

係，ben kane教一定會好過莫毅明

唔係喎, 我覺得mok教得幾好, 可能係UST班人教得太差

N Mok Complex Analysis 超正

Optimization 其實學乜野

點optimize某objective subject to 唔同constraint (equality or inequality)
幾時有solution, 點計呀etc
深啲既有dynamic optimization, decision making over time etc.

like high school finding local maximum pt/minimum pt

Dynamic programming

讀緊game theory,入面有好多simplex optimization,用手計計到頭暈

Agger 好煩 nash bargaining solution

Dynamic programming 已經好好做。
Behavioral econ 有啲咩multi-selves agent, dynamically inconsistent agent, 連dynamic programming 都唔apply，煩到嘔泡。
Nash bargaining 亦都係最簡單，有幾多relationship中的surplus只係按bargaining power分。

好在我唔係modeling個邊

optimization其實係好正既topic 我做緊machine learning research
Machine learning入面好多algorithm 都係solve optimization problems
當中會用到好多real analysis同functional analysis既techniques
最正個位係可以自己諗某啲algorithms去solve某一類optimization problems然後paper

functional 同 real analysis 都好正

巴打講多啲 QM有好多banach space,想知多啲functional analysis做啲咩

我d FA已經唔記得七七八八 , 我更加唔識物理
某D Linear PDE可以用functional analysis的方法去deduce d property
e.g. compact operators
又可以用黎construct measures, e.g. Haar measure
同埋functional analysis本身會deal with d Banach / Hilbert spaces, 但係數學本身都會遇到呢D spaces, e.g. space of continuous functions, L^p spaces等等
probability都會見到, e.g. weak convergence
所以functional analysis算係analysis的基礎野 又要準備溫書考qualifying

analysis好難讀 巴打一定好醒目

巴打今個sem上莫毅明個anal？

自己睇下書咋,未take.諗住等下個sem鬼佬教會好grade D

係，ben kane教一定會好過莫毅明

唔係喎, 我覺得mok教得幾好, 可能係UST班人教得太差

N Mok Complex Analysis 超正

召喚psycho behavioral econ朋友
想問有無experiment係compare bayesian updating and reported posterior belief, given information with different strengths (odds ratio)

我諗一定有 但搵唔到

召喚psycho behavioral econ朋友
想問有無experiment係compare bayesian updating and reported posterior belief, given information with different strengths (odds ratio)

我諗一定有 但搵唔到

者係叫緊我 我聽朝諗諗

召喚psycho behavioral econ朋友
想問有無experiment係compare bayesian updating and reported posterior belief, given information with different strengths (odds ratio)

我諗一定有 但搵唔到

者係叫緊我 我聽朝諗諗

就你召喚緊你

召喚psycho behavioral econ朋友
想問有無experiment係compare bayesian updating and reported posterior belief, given information with different strengths (odds ratio)

我諗一定有 但搵唔到

者係叫緊我 我聽朝諗諗

就係召喚緊你

Mac 係unix base
同linux 相似
好多大既research center 都係用server linux
都係要識d 簡單command 點用terminal 咁
應該唔係太難

我用Vmware 當係一個application黎用，都好方便，唔洗退出macos

唔該曬大家幫手

買部Mac啦

我需要買，諗緊13定15 macbook pro

2016 13'mbpr

新版換d野就借機加價

唔好買15.好鬼重

13吋冇獨立display
run python matlab 再加小小illustrator會唔會有d 吃力？
我有部workstation 24 core
但我自己平時想要prep d presentation 同run d 細既script
應該會接external mon
唔知咁樣會唔會太heavy?

我用Vmware 當係一個application黎用，都好方便，唔洗退出macos

唔該曬大家幫手

買部Mac啦

我需要買，諗緊13定15 macbook pro

2016 13'mbpr

新版換d野就借機加價

唔好買15.好鬼重

13吋冇獨立display
run python matlab 再加小小illustrator會唔會有d 吃力？
我有部workstation 24 core
但我自己平時想要prep d presentation 同run d 細既script
應該會接external mon
唔知咁樣會唔會太heavy?

老細冇server/冇自己枱機？有就ssh啦

你打到上i7都唔會夠xeon黎

GPU programming剩係玩過cuda(即係nvdia出既gpu先用到)

opengl唔知amd會行成點

識人topic同gpu有關 大條道理買獨顯claim錢

唔該曬大家幫手

買部Mac啦

我需要買，諗緊13定15 macbook pro

2016 13'mbpr

新版換d野就借機加價

唔好買15.好鬼重

13吋冇獨立display
run python matlab 再加小小illustrator會唔會有d 吃力？
我有部workstation 24 core
但我自己平時想要prep d presentation 同run d 細既script
應該會接external mon
唔知咁樣會唔會太heavy?

老細冇server/冇自己枱機？有就ssh啦

你打到上i7都唔會夠xeon黎

GPU programming剩係玩過cuda(即係nvdia出既gpu先用到)

opengl唔知amd會行成點

識人topic同gpu有關 大條道理買獨顯claim錢

我有自己部desktop
有部ma workstation
我自己想買部macbook pro replace 我部舊laptop
咁講我可能買13 吋就夠啦
唔該咁多位巴打

買部Mac啦

我需要買，諗緊13定15 macbook pro

2016 13'mbpr

新版換d野就借機加價

唔好買15.好鬼重

13吋冇獨立display
run python matlab 再加小小illustrator會唔會有d 吃力？
我有部workstation 24 core
但我自己平時想要prep d presentation 同run d 細既script
應該會接external mon
唔知咁樣會唔會太heavy?

老細冇server/冇自己枱機？有就ssh啦

你打到上i7都唔會夠xeon黎

GPU programming剩係玩過cuda(即係nvdia出既gpu先用到)

opengl唔知amd會行成點

識人topic同gpu有關 大條道理買獨顯claim錢

我有自己部desktop
有部ma workstation
我自己想買部macbook pro replace 我部舊laptop
咁講我可能買13 吋就夠啦
唔該咁多位巴打

要埋touch bar

HKU social psy 請tenure track AP
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