Learn new techniques in machine learning
$begingroup$
As the title suggest, my question is how to learn new techniques in machine learning.
My concern is that machine learning is developing rapidly. Many of current techniques / methods can be replaced anytime. Thus spending too much time diving into a specific technique may not be a good choice. Besides, we certainly don't have enough time to dive into every single technique.
My questions are:
What is the right way to study a new technique in machine learning ?
What level of understanding should I achieve after learning about a technique or reading a paper ?
How to find a worth-reading paper or how to know whether a paper is worth-reading or not ?
p.s: my current direction is research and my interest is practical machine learning.
machine-learning self-study math
asked 17 mins ago
HOANG GIANGHOANG GIANG
133
$endgroup$
add a comment |
$begingroup$
As the title suggest, my question is how to learn new techniques in machine learning.
My concern is that machine learning is developing rapidly. Many of current techniques / methods can be replaced anytime. Thus spending too much time diving into a specific technique may not be a good choice. Besides, we certainly don't have enough time to dive into every single technique.
My questions are:
What is the right way to study a new technique in machine learning ?
What level of understanding should I achieve after learning about a technique or reading a paper ?
How to find a worth-reading paper or how to know whether a paper is worth-reading or not ?
p.s: my current direction is research and my interest is practical machine learning.
machine-learning self-study math
asked 17 mins ago
HOANG GIANGHOANG GIANG
133
$endgroup$
add a comment |
$begingroup$
As the title suggest, my question is how to learn new techniques in machine learning.
My concern is that machine learning is developing rapidly. Many of current techniques / methods can be replaced anytime. Thus spending too much time diving into a specific technique may not be a good choice. Besides, we certainly don't have enough time to dive into every single technique.
My questions are:
What is the right way to study a new technique in machine learning ?
What level of understanding should I achieve after learning about a technique or reading a paper ?
How to find a worth-reading paper or how to know whether a paper is worth-reading or not ?
p.s: my current direction is research and my interest is practical machine learning.
machine-learning self-study math
asked 17 mins ago
HOANG GIANGHOANG GIANG
133
$endgroup$
As the title suggest, my question is how to learn new techniques in machine learning.
My concern is that machine learning is developing rapidly. Many of current techniques / methods can be replaced anytime. Thus spending too much time diving into a specific technique may not be a good choice. Besides, we certainly don't have enough time to dive into every single technique.
My questions are:
What is the right way to study a new technique in machine learning ?
What level of understanding should I achieve after learning about a technique or reading a paper ?
How to find a worth-reading paper or how to know whether a paper is worth-reading or not ?
p.s: my current direction is research and my interest is practical machine learning.
machine-learning self-study math
machine-learning self-study math
asked 17 mins ago
HOANG GIANGHOANG GIANG
133
asked 17 mins ago
HOANG GIANGHOANG GIANG
133
asked 17 mins ago
HOANG GIANGHOANG GIANG
133
asked 17 mins ago
HOANG GIANGHOANG GIANG
133
asked 17 mins ago
HOANG GIANGHOANG GIANG
133
133
add a comment |
add a comment |
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