bmh100

22 ms·

181.
by bmh100 10y ago
Wave seems to be referencing this[1] Google Research blog post. I couldn't find any reference to what GPU cards Google uses. It still provides a basis of comparison to Google Cloud at least. But like you say, a specialized data cent
182.
by bmh100 10y ago
While there are people commenting on how the techniques sound a lot like a software engineering class, as opposed to a computer science class, I think this approach overall would be fantastic for computer science. Writing tests and document
183.
by bmh100 10y ago
A few of the basic concepts: Smarter memory design means that data does not need to be constantly reloaded, saving time that would otherwise be wasted on data transfer. Using lower-precision, fixed-point arithmetic is more efficient than st
184.
by bmh100 10y ago
"Inventing a lawful excuse" is covered under the concept of "disparate impact"[1]. Basically, if an employer ends up discriminating against a protected class indirectly, it is still a violation. This even includes tests
185.
by bmh100 10y ago
This refers to a category of person protected by the Civil Rights Act of 1964[1], Title VII, as extended by other laws over time. It "prohibits discrimination by covered employers on the basis of race, color, religion, sex or national
186.
by bmh100 10y ago
I feel that the use of moving objects weakened the case in the example, such as requiring object persistence priors. The paper also did not report theoretical maximum scores. Instead, I would have liked to see a planning scenario: 1. Object
187.
by bmh100 10y ago
I appreciate the list of things to look out for, but what about solutions? That would increase the value of the article immensely.
188.
by bmh100 10y ago
Curious, why is backwards compatibility more important to you for this project?
189.
by bmh100 10y ago
Additionally, I would like to see Rust, Haskell, and .NET.
190.
by bmh100 10y ago
Another way of saying this is, do not waste effort by starting early on non-critical tasks. This all has to do with the critical path, the series of sequential, dependent tasks that determine the minimum project length. Think of building a
191.
by bmh100 10y ago
Here is an argument in favor accelerated acclimatizers and oxygen tanks: 1. They reduce the high risk of irreversible damage to an especially important organ, the brain. 2. They reduce the significant risk of death. Any chemical or equipmen
192.
by bmh100 10y ago
I work in business intelligence, and my understanding of "self-service BI" has never been "no developer needed at any point" or even "unskilled knowledge work". I have always approached it as a particular envir
193.
by bmh100 10y ago
Sorry if I was being vague, but what situation would you re-run a short computation by executing the whole program again instead of using subroutines? Are we talking about a data scientist performing initial, exploratory analysis on a very
194.
by bmh100 10y ago
What kind of computation were you running?
195.
by bmh100 10y ago
One-based indexing is also used in Fortran, which seems to be used in a great deal of numerical computing even today. Additionally, BLAS/LAPACK is an important linear algebra library written in Fortan. I am somewhat confused by your di
196.
by bmh100 10y ago
Has anyone actually been able to contact MapD? I've emailed, called, and left voicemails without any response. I'm not sure what is going on, but it's strange for a potential customer to have such difficulty getting in touch
197.
by bmh100 11y ago
At the very least, computation could be distributed at the hyperparameter tuning stage. Each node would be responsible for training on a different set of hyperparameters. The master node would coordinate the selection and distribution of ne
198.
by bmh100 11y ago
So you cheated on an IQ test? How did the test administrator not catch you or worse, allow you to do this?
199.
by bmh100 11y ago
Could overfitting also be addressed by sharing and optimizing hyperparameters over multiple datasets? For example, could initialization be shared across multiple handwriting sets?
200.
by bmh100 11y ago
Is there a guide that lists all the Apache projects and examples of when to use them?
201.
by bmh100 11y ago
It has to do with calculus. If the probability of a given result approaches zero as the result itself approaches positive or negative infinity, then the area under the curve approaches 1. Imagine 1/2 + 1/4 + 1/8 ... to infini
202.
by bmh100 11y ago
You have the essence of the strategy: Unless there is a limit on the number of times a gift can be stolen, always steal a gift valued above the average of all currently opened gifts. Limits on the number of times a gift can be stolen are po
203.
by bmh100 11y ago
Given that ANNs are universal function approximators, it is natural that one would use them to actually generate a simplified model of simulations. What you see here, taking an already accurate model and generating an approximate implementa
204.
by bmh100 11y ago
This is very true in the world of business intelligence and analytics. A single breakdown in the data pipeline from source to report/dashboard affects the entire system's value. "Garbage in, garbage out" is a maxim. If t
205.
by bmh100 11y ago
This has arguably already been done in the "entrepreneurship" world through the label "small giant", coined by the book [1] of the same name. "Small Giants: Companies That Choose to Be Great Instead of Big" [1]
206.
by bmh100 11y ago
The restore is only as-needed, but full system image backups are made every night.
207.
by bmh100 11y ago
Are you referring to row-store, hard-disk DBs (especially data warehouses) or column-store, in-memory DBs?
208.
by bmh100 11y ago
If you have 24 GB of RAM, then you are certainly a rare breed. Curious, what motivated you to install so much?
209.
by bmh100 11y ago
I mainly work on the smaller side of servers, so you would be looking at Intel Xeon or i7 2.8-3.2 GHz (4-8 cores), 16-32 GB RAM, Windows Server 2008, a 100+ GB SSDs in RAID, 1 TB HDD, with nightly backups. Interestingly, management analytic
210.
by bmh100 11y ago
I work with a platform that fits exactly into the big iron use case. A typical machine will host millions to billions of rows of transactional data in memory. The round time from a user interaction to fully joined (across several or dozens

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