"Follow news and resources via conferences or top companies' blogs, such as NeurIPS 2023 or Google Research Blog to get updates about the machine learning landscape.
Research the papers on the new technology or approach that was mentioned or introduced via the subscribed sources, such as listed above.
Following media channels, podcasts, or influencers on social media who were recently active in the industry to catch up with the trending and valuable insights, research, thoughts...
Scan Github"
Ban N. - "Follow news and resources via conferences or top companies' blogs, such as NeurIPS 2023 or Google Research Blog to get updates about the machine learning landscape.
Research the papers on the new technology or approach that was mentioned or introduced via the subscribed sources, such as listed above.
Following media channels, podcasts, or influencers on social media who were recently active in the industry to catch up with the trending and valuable insights, research, thoughts...
Scan Github"See full answer
"Clarifying
When we say cloud gaming, we refer to a video gaming experience using cloud computing, right? Assumption: Yes.
Understanding of cloud computing first. I'll use some analogies:
Imagine you are looking to do heavy computing but don't have a powerful CPU and GPU.
CPU and GPU are like your big calculators.
You can buy a powerful CPU and GPU, but problems:
It costs a lot to buy.
It costs a lot to run.
You don't need it 24-7.
You are not a un"
Darpan D. - "Clarifying
When we say cloud gaming, we refer to a video gaming experience using cloud computing, right? Assumption: Yes.
Understanding of cloud computing first. I'll use some analogies:
Imagine you are looking to do heavy computing but don't have a powerful CPU and GPU.
CPU and GPU are like your big calculators.
You can buy a powerful CPU and GPU, but problems:
It costs a lot to buy.
It costs a lot to run.
You don't need it 24-7.
You are not a un"See full answer
"For data distribution drift: DL Divergence or PSI (Population Stability Index)
performance: two categories: 1st operational metrics: runtime. 2nd model performance: loss function, MAE (regression), business metrics: overall watch time, DAU, revenue lift etc
Outlier: data distribution"
L B. - "For data distribution drift: DL Divergence or PSI (Population Stability Index)
performance: two categories: 1st operational metrics: runtime. 2nd model performance: loss function, MAE (regression), business metrics: overall watch time, DAU, revenue lift etc
Outlier: data distribution"See full answer
"A much better solution than the one in the article, below:
It looks like the ones writing articles here in Javascript do not understand the time/space complexity of javascript methods.
shift, splice, sort, etc... In the solution article you have a shift and a sort being done inside a while, that is, the multiplication of Ns.
My solution, below, iterates through the list once and then sorts it, separately. It´s O(N+Log(N))
class ListNode {
constructor(val = 0, next = null) {
th"
Guilherme F. - "A much better solution than the one in the article, below:
It looks like the ones writing articles here in Javascript do not understand the time/space complexity of javascript methods.
shift, splice, sort, etc... In the solution article you have a shift and a sort being done inside a while, that is, the multiplication of Ns.
My solution, below, iterates through the list once and then sorts it, separately. It´s O(N+Log(N))
class ListNode {
constructor(val = 0, next = null) {
th"See full answer
Machine Learning Engineer
Data Structures & Algorithms
+4 more
🧠Want an expert answer to a question? Saving questions lets us know what content to make next.
"Grandma! You know how we can look at a picture and know what's in it—like seeing a cat or a dog? Computers can learn to do that too! It's just they use special tricks and math to see and understand pictures or videos. It helps them figure out what's in the pictures, almost like how we do!
Almost like giving it eyes to see the world in its own way!"
Praveen D. - "Grandma! You know how we can look at a picture and know what's in it—like seeing a cat or a dog? Computers can learn to do that too! It's just they use special tricks and math to see and understand pictures or videos. It helps them figure out what's in the pictures, almost like how we do!
Almost like giving it eyes to see the world in its own way!"See full answer
"Deep Learning is a part of Artificial Intelligence, it's like teaching the machine to think and make decisions on its own. It's like how we teach a child the concept of an apple - it's round, red, has a stem on top. We show them multiple pictures of apples and then they understand and can recognize an apple in future. Similarly, we feed lots of data to the machine, and slowly, it starts learning from that data, and can then make relevant predictions or decisions based on what it has learnt.
A co"
Surbhi G. - "Deep Learning is a part of Artificial Intelligence, it's like teaching the machine to think and make decisions on its own. It's like how we teach a child the concept of an apple - it's round, red, has a stem on top. We show them multiple pictures of apples and then they understand and can recognize an apple in future. Similarly, we feed lots of data to the machine, and slowly, it starts learning from that data, and can then make relevant predictions or decisions based on what it has learnt.
A co"See full answer
"Implemented the Java code to find the largest island. It is similar to count the island. But in this we need to keep track of max island and compute its perimeter."
Techzen I. - "Implemented the Java code to find the largest island. It is similar to count the island. But in this we need to keep track of max island and compute its perimeter."See full answer
"bool isValidBST(TreeNode* root, long min = LONGMIN, long max = LONGMAX){
if (root == NULL)
return true;
if (root->val val >= max)
return false;
return isValidBST(root->left, min, root->val) &&
isValidBST(root->right, root->val, max);
}
`"
Alvaro R. - "bool isValidBST(TreeNode* root, long min = LONGMIN, long max = LONGMAX){
if (root == NULL)
return true;
if (root->val val >= max)
return false;
return isValidBST(root->left, min, root->val) &&
isValidBST(root->right, root->val, max);
}
`"See full answer