Which Carrer path to Choose AI Or Game Developmen
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Which Carrer path to Choose AI Or Game Developmen
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I am An Second Year B.Tech Student. I have Basic Idea Of Unity,C# For Game development and I
Recently starting Learning AI in Python So I Am Confused Which to Choose as Career.
untagged
migrated from ai.stackexchange.com 37 mins ago
This question came from our site for people interested in conceptual questions about life and challenges in a world where "cognitive" functions can be mimicked in purely digital environment.
add a comment |
I am An Second Year B.Tech Student. I have Basic Idea Of Unity,C# For Game development and I
Recently starting Learning AI in Python So I Am Confused Which to Choose as Career.
untagged
migrated from ai.stackexchange.com 37 mins ago
This question came from our site for people interested in conceptual questions about life and challenges in a world where "cognitive" functions can be mimicked in purely digital environment.
1
@DukeZhou Career advice is explicitly off-topic on The Workplace, you'll be getting this one back fairly soon.
– Philip Kendall
34 mins ago
@PhilipKendall My bad! Feel free to send it back over.
– DukeZhou
33 mins ago
2
@DukeZhou Not a mod on this site so you may have to wait a few minutes but it won't be long :-)
– Philip Kendall
32 mins ago
add a comment |
I am An Second Year B.Tech Student. I have Basic Idea Of Unity,C# For Game development and I
Recently starting Learning AI in Python So I Am Confused Which to Choose as Career.
untagged
I am An Second Year B.Tech Student. I have Basic Idea Of Unity,C# For Game development and I
Recently starting Learning AI in Python So I Am Confused Which to Choose as Career.
untagged
untagged
asked 2 days ago
Mak
migrated from ai.stackexchange.com 37 mins ago
This question came from our site for people interested in conceptual questions about life and challenges in a world where "cognitive" functions can be mimicked in purely digital environment.
migrated from ai.stackexchange.com 37 mins ago
This question came from our site for people interested in conceptual questions about life and challenges in a world where "cognitive" functions can be mimicked in purely digital environment.
1
@DukeZhou Career advice is explicitly off-topic on The Workplace, you'll be getting this one back fairly soon.
– Philip Kendall
34 mins ago
@PhilipKendall My bad! Feel free to send it back over.
– DukeZhou
33 mins ago
2
@DukeZhou Not a mod on this site so you may have to wait a few minutes but it won't be long :-)
– Philip Kendall
32 mins ago
add a comment |
1
@DukeZhou Career advice is explicitly off-topic on The Workplace, you'll be getting this one back fairly soon.
– Philip Kendall
34 mins ago
@PhilipKendall My bad! Feel free to send it back over.
– DukeZhou
33 mins ago
2
@DukeZhou Not a mod on this site so you may have to wait a few minutes but it won't be long :-)
– Philip Kendall
32 mins ago
1
1
@DukeZhou Career advice is explicitly off-topic on The Workplace, you'll be getting this one back fairly soon.
– Philip Kendall
34 mins ago
@DukeZhou Career advice is explicitly off-topic on The Workplace, you'll be getting this one back fairly soon.
– Philip Kendall
34 mins ago
@PhilipKendall My bad! Feel free to send it back over.
– DukeZhou
33 mins ago
@PhilipKendall My bad! Feel free to send it back over.
– DukeZhou
33 mins ago
2
2
@DukeZhou Not a mod on this site so you may have to wait a few minutes but it won't be long :-)
– Philip Kendall
32 mins ago
@DukeZhou Not a mod on this site so you may have to wait a few minutes but it won't be long :-)
– Philip Kendall
32 mins ago
add a comment |
1 Answer
1
active
oldest
votes
A naive approach in coordinating decisions of people is to tell them what to do next. An example would be to advice a certain university and hope that the individual will do so. This kind of authority driven recommendation works only for very simple decisions, for example “if somebody is hungry, then he should eat”, but it fails in complex decision decision making over longer period of time.
The more elaborate way in answering the question for the optimal career path is to build a career model. This is some kind of physics engine which is able to predict the outcome of decisions somebody has made in the past. Sometimes, the strategy is called scenario based learning, because the user can enter different career decision, and the system will output what the result will be in the future. Such a model is trying to predict the reality with the highest possible accuracy.
A good starting point in building a career path prediction engine is to use existing social information from linkedln and other social websites and aggregate them into a machine readable model.[1]
[1] Liu, Ye, et al. "Fortune teller: predicting your career path." Thirtieth AAAI conference on artificial intelligence. 2016.
It is probably more instructive to the OP to close the question, but I like how this answer explains why we cannot offer direct advice and somehow manages to refer a related piece of AI research.
– Neil Slater
2 days ago
If not just refer, but also directly answer which career path..no?
– morbo
33 mins ago
add a comment |
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1 Answer
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1 Answer
1
active
oldest
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active
oldest
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active
oldest
votes
A naive approach in coordinating decisions of people is to tell them what to do next. An example would be to advice a certain university and hope that the individual will do so. This kind of authority driven recommendation works only for very simple decisions, for example “if somebody is hungry, then he should eat”, but it fails in complex decision decision making over longer period of time.
The more elaborate way in answering the question for the optimal career path is to build a career model. This is some kind of physics engine which is able to predict the outcome of decisions somebody has made in the past. Sometimes, the strategy is called scenario based learning, because the user can enter different career decision, and the system will output what the result will be in the future. Such a model is trying to predict the reality with the highest possible accuracy.
A good starting point in building a career path prediction engine is to use existing social information from linkedln and other social websites and aggregate them into a machine readable model.[1]
[1] Liu, Ye, et al. "Fortune teller: predicting your career path." Thirtieth AAAI conference on artificial intelligence. 2016.
It is probably more instructive to the OP to close the question, but I like how this answer explains why we cannot offer direct advice and somehow manages to refer a related piece of AI research.
– Neil Slater
2 days ago
If not just refer, but also directly answer which career path..no?
– morbo
33 mins ago
add a comment |
A naive approach in coordinating decisions of people is to tell them what to do next. An example would be to advice a certain university and hope that the individual will do so. This kind of authority driven recommendation works only for very simple decisions, for example “if somebody is hungry, then he should eat”, but it fails in complex decision decision making over longer period of time.
The more elaborate way in answering the question for the optimal career path is to build a career model. This is some kind of physics engine which is able to predict the outcome of decisions somebody has made in the past. Sometimes, the strategy is called scenario based learning, because the user can enter different career decision, and the system will output what the result will be in the future. Such a model is trying to predict the reality with the highest possible accuracy.
A good starting point in building a career path prediction engine is to use existing social information from linkedln and other social websites and aggregate them into a machine readable model.[1]
[1] Liu, Ye, et al. "Fortune teller: predicting your career path." Thirtieth AAAI conference on artificial intelligence. 2016.
It is probably more instructive to the OP to close the question, but I like how this answer explains why we cannot offer direct advice and somehow manages to refer a related piece of AI research.
– Neil Slater
2 days ago
If not just refer, but also directly answer which career path..no?
– morbo
33 mins ago
add a comment |
A naive approach in coordinating decisions of people is to tell them what to do next. An example would be to advice a certain university and hope that the individual will do so. This kind of authority driven recommendation works only for very simple decisions, for example “if somebody is hungry, then he should eat”, but it fails in complex decision decision making over longer period of time.
The more elaborate way in answering the question for the optimal career path is to build a career model. This is some kind of physics engine which is able to predict the outcome of decisions somebody has made in the past. Sometimes, the strategy is called scenario based learning, because the user can enter different career decision, and the system will output what the result will be in the future. Such a model is trying to predict the reality with the highest possible accuracy.
A good starting point in building a career path prediction engine is to use existing social information from linkedln and other social websites and aggregate them into a machine readable model.[1]
[1] Liu, Ye, et al. "Fortune teller: predicting your career path." Thirtieth AAAI conference on artificial intelligence. 2016.
A naive approach in coordinating decisions of people is to tell them what to do next. An example would be to advice a certain university and hope that the individual will do so. This kind of authority driven recommendation works only for very simple decisions, for example “if somebody is hungry, then he should eat”, but it fails in complex decision decision making over longer period of time.
The more elaborate way in answering the question for the optimal career path is to build a career model. This is some kind of physics engine which is able to predict the outcome of decisions somebody has made in the past. Sometimes, the strategy is called scenario based learning, because the user can enter different career decision, and the system will output what the result will be in the future. Such a model is trying to predict the reality with the highest possible accuracy.
A good starting point in building a career path prediction engine is to use existing social information from linkedln and other social websites and aggregate them into a machine readable model.[1]
[1] Liu, Ye, et al. "Fortune teller: predicting your career path." Thirtieth AAAI conference on artificial intelligence. 2016.
answered 2 days ago
Manuel RodriguezManuel Rodriguez
1275
1275
It is probably more instructive to the OP to close the question, but I like how this answer explains why we cannot offer direct advice and somehow manages to refer a related piece of AI research.
– Neil Slater
2 days ago
If not just refer, but also directly answer which career path..no?
– morbo
33 mins ago
add a comment |
It is probably more instructive to the OP to close the question, but I like how this answer explains why we cannot offer direct advice and somehow manages to refer a related piece of AI research.
– Neil Slater
2 days ago
If not just refer, but also directly answer which career path..no?
– morbo
33 mins ago
It is probably more instructive to the OP to close the question, but I like how this answer explains why we cannot offer direct advice and somehow manages to refer a related piece of AI research.
– Neil Slater
2 days ago
It is probably more instructive to the OP to close the question, but I like how this answer explains why we cannot offer direct advice and somehow manages to refer a related piece of AI research.
– Neil Slater
2 days ago
If not just refer, but also directly answer which career path..no?
– morbo
33 mins ago
If not just refer, but also directly answer which career path..no?
– morbo
33 mins ago
add a comment |
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1
@DukeZhou Career advice is explicitly off-topic on The Workplace, you'll be getting this one back fairly soon.
– Philip Kendall
34 mins ago
@PhilipKendall My bad! Feel free to send it back over.
– DukeZhou
33 mins ago
2
@DukeZhou Not a mod on this site so you may have to wait a few minutes but it won't be long :-)
– Philip Kendall
32 mins ago