話時話，有無巴打識java python同VR/普通video game development, 又對psycho有興趣
有興趣但唔識
你估有無門路學識呢
想學java果啲
我Python係睇片學既 可以試下搵open course ware 比你參考下
https://www.codecademy.com/learn/all
https://www.youtube.com/watch?v=ytpJdnlu9ug
睇片都學得識巴打cs related?
我係physics人都係跟住片做 做做下就識開始自己做 巴打可以down個anaconda試下自己寫
UG year1 想了解下 可唔可以吹埋一份
而家我做緊cosmic rays既data analysis野
想問下幾樣野 唔該曬咁多位:
1.點樣先可以塞得個更加CV靚 駛唔駛加水分?
2.讀上去係咪好靠GPA?我成績叫做只係中上,好驚比唔上班大陸學生,有冇得用經驗/技能搭救?
3.德文國家讀書好唔好?好嚮往歐洲既環境同文化
cosmic rays
巴打邊間u
I mean 成績方面
我係hku阿cosmic rays聽落好勁,我而家能力做得到其實只係做下it狗寫下script咋
趁Year 1仲有時間好好安排之後幾年 成績仲有得追 HKU唔好預會有好好GPA 尤其Pure Science神人例外
暑假試下R美帝summer research 預左要燒D錢 GRE果D可以提早接觸
建議aim high 美帝英國瑞士top果幾間 大約top 30 德國唔係唔好 但始終排名輸蝕少少
利申: 6901 ching
咁夜唔訓
成堆hku chisinlo
點解我覺得好似ust人多d
三個咋嘛好似?
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
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
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
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
Dynamic programming
讀緊game theory,入面有好多simplex optimization,用手計計到頭暈
Agger 好煩
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
我就研究緊活點解人既decision唔係optimized
讀緊game theory,入面有好多simplex optimization,用手計計到頭暈
Agger 好煩
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
我就研究緊活點解人既decision唔係optimized
heuristics
Agger 好煩
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
我就研究緊活點解人既decision唔係optimized
heuristics
UG year1 想了解下 可唔可以吹埋一份
而家我做緊cosmic rays既data analysis野
想問下幾樣野 唔該曬咁多位:
1.點樣先可以塞得個更加CV靚 駛唔駛加水分?
2.讀上去係咪好靠GPA?我成績叫做只係中上,好驚比唔上班大陸學生,有冇得用經驗/技能搭救?
3.德文國家讀書好唔好?好嚮往歐洲既環境同文化
cosmic rays
巴打邊間u
I mean 成績方面
我係hku阿
hku
Dynamic programming
讀緊game theory,入面有好多simplex optimization,用手計計到頭暈
Agger 好煩
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
我就研究緊活點解人既decision唔係optimized
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
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。
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
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。
本人表示深受其害
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
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。
本人表示深受其害
X2
Dynamic programming
讀緊game theory,入面有好多simplex optimization,用手計計到頭暈
Agger 好煩
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。
本人表示深受其害
X2
好奇下econ係咪好straight要搵global optimal pt
因為ml好多都係搵local就算
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
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。
本人表示深受其害
X2
好奇下econ係咪好straight要搵global optimal pt
因為ml好多都係搵local就算
讀緊game theory,入面有好多simplex optimization,用手計計到頭暈
Agger 好煩
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。
本人表示深受其害
X2
好奇下econ係咪好straight要搵global optimal pt
因為ml好多都係搵local就算
yes, global and unique。
讀緊game theory,入面有好多simplex optimization,用手計計到頭暈
Agger 好煩
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。
本人表示深受其害
X2
好奇下econ係咪好straight要搵global optimal pt
因為ml好多都係搵local就算
yes, global and unique。
咁都幾係 而家好多ml都係minimize某個functional就算
讀緊game theory,入面有好多simplex optimization,用手計計到頭暈
Agger 好煩
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。
本人表示深受其害
X2
好奇下econ係咪好straight要搵global optimal pt
因為ml好多都係搵local就算
yes, global and unique。
咁都幾係 而家好多ml都係minimize某個functional就算
因為ML好多係non-convex optimization
Agger 好煩
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
我就研究緊活點解人既decision唔係optimized
heuristics
我之前都做unconscious mental process
基本上人腦唔是為左optimization而運作
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
我就研究緊活點解人既decision唔係optimized
heuristics
我之前都做unconscious mental process
基本上人腦唔是為左optimization而運作
但係從evolution角度黎講 如果人腦唔係optimize緊咁點樣生存到而家
定係好似tirole/benabou嗰個套咁 一啲suboptimal既behavior反而達致optimal outcome
讀緊game theory,入面有好多simplex optimization,用手計計到頭暈
Agger 好煩
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。
本人表示深受其害
X2
好奇下econ係咪好straight要搵global optimal pt
因為ml好多都係搵local就算
yes, global and unique。
咁都幾係 而家好多ml都係minimize某個functional就算
因為ML好多係non-convex optimization
但係econ應該都唔多convex?
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
我就研究緊活點解人既decision唔係optimized
heuristics
我之前都做unconscious mental process
基本上人腦唔是為左optimization而運作
但係從evolution角度黎講 如果人腦唔係optimize緊咁點樣生存到而家
定係好似tirole/benabou嗰個套咁 一啲suboptimal既behavior反而達致optimal outcome
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
我就研究緊活點解人既decision唔係optimized
heuristics
我之前都做unconscious mental process
基本上人腦唔是為左optimization而運作
但係從evolution角度黎講 如果人腦唔係optimize緊咁點樣生存到而家
定係好似tirole/benabou嗰個套咁 一啲suboptimal既behavior反而達致optimal outcome
同意，但同一時間好多optimized 左既responses 會因為社會變左而變得係某d 情況下唔adaptive
我未take，留名學野先 問個問題，搞US visa要搞幾耐
二月中出左offer，但係封letter of decision正本話寄寄左成個月都未到，好怕係寄失
加拿大籍第二個好處係過美國讀書Visa只係入境嗰時dum個印就得
