master_yoda_1

9 ms·

31.
by master_yoda_1 5y ago
I request the moderator of hn to please flag this post. This fraud is claiming to solve np hard problem in title and some jokers at hn make it to the front page of hn
32.
The Robot Brains Podcast with Pieter Abeel(shows.acast.com)
2 points by master_yoda_1 5y ago|0 comments
33.
Ask HN: Why in FAANG companies a manager becomes patent co-author?
7 points by master_yoda_1 5y ago|6 comments
34.
by master_yoda_1 5y ago
It's confusing why ml beginners are obsessed over linear algebra. The subject is very hard and need only for advanced ml model. why not just study calculus and understand it?
35.
by master_yoda_1 5y ago
Totally agree on this "They ain't movies. They are some weird algorithmic process that has created things that last 100 minutes or so." look at "The Tomorrow War"
36.
by master_yoda_1 5y ago
changed the comment :)
37.
by master_yoda_1 5y ago
AI is very old term. But "new AI" is all based on big data. Most of the small data algorithm is always been used and still being used in medicine etc. But when you talk about "new AI" you mean deep learning which is very
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by master_yoda_1 5y ago
AMZN is Doomed :)
39.
by master_yoda_1 5y ago
half of these are relevant to small data problem which is not exactly we mean when we say AI.
40.
by master_yoda_1 5y ago
My dear friend first tell me with bunch of jokers as instructor how you are going to teach data science to student. How these jokers are allowed to teach data science without any credentials
41.
by master_yoda_1 5y ago
I am very price conscious and want an e-book just to read research paper pdf. I don't care if it does ssh or it has memory or i can write on it. I just want it to read pdfs. What do you guys suggest.
42.
by master_yoda_1 5y ago
No difference this is exactly same as brier score. MSE is the KL divergence between ground truth and true prediction, assuming a gaussian error distribution. We use MSE as loss because we try to minimize KL divergence (again assuming gaussi
43.
by master_yoda_1 5y ago
he sell his soul for only $1.8B
44.
by master_yoda_1 5y ago
I see in your job description for ML you expect ML engineer to have "Experience with cloud technologies, e.g. AWS, GCP, Kubernetes to build data-intensive infrastructure: ECS, Kinesis, S3, Kafka, Spark, Flink" https://w
45.
by master_yoda_1 5y ago
They are trying to generalized "Andrew Ng comment about AI application to healthcare" to all the application of AI. When these journalist learn to properly report.
46.
by master_yoda_1 5y ago
My fart molecule also have non linear interaction with other atom. So my farting is a neural network too. #bullshitArticle
47.
by master_yoda_1 6y ago
I am not even understand the purpose of manager in the team.
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by master_yoda_1 6y ago
Your work look motivating. What kind of NLP algorithm you are using to solve your problems?
49.
by master_yoda_1 6y ago
And the great paywall
50.
by master_yoda_1 6y ago
I think this Ivy league mindset was started by MBA programs which uses marketing to lure students into paying for useless MBA degree. MBA is a total fraud IMO, in 2 year you can't learn any skill which help you in running a whole compa
51.
by master_yoda_1 6y ago
“Making awesome pancakes” seriously. This is ugly and I would try to avoid working with a person like you.
52.
by master_yoda_1 6y ago
"He was the dog" story was best :)
53.
by master_yoda_1 6y ago
This was my first intro to network programming in school very very long time.
54.
by master_yoda_1 6y ago
I know for sure couple of company does give money for the interview time. If your competitive advantage is getting unpaid work from people then sorry to say your company suck.
55.
by master_yoda_1 6y ago
We should start charging fee for our time during interview. Thats the only way to fix this.
56.
by master_yoda_1 6y ago
I agree we have thousand of very basic machine learning moocs now a days. people are wasting lots of time on them.
57.
by master_yoda_1 6y ago
I like till it mention keras, fast.ai. No offense to keras, fast.ai they are very good for beginners in ML. But for serious work you need more (try to write autoregressive generative model etc). Here again bullshit article trending on HN fr
58.
by master_yoda_1 6y ago
Coding and building teach you more than taking a course or watching a video. If you don't have any programming background, you can enroll in some coursera or udacity courses to start with. Then go through this course http://
59.
by master_yoda_1 6y ago
IMHO first you need to become a programmer then you can become a data engineer. So if you need to start by learning data structure then you are doing something wrong. Also the topics suggested in "Algorithms & Data Structures"
60.
Runtime improvement for Minimum Cut algorithm first time in 25 years (2019)(arxiv.org)
153 points by master_yoda_1 6y ago|56 comments

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