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[English]
... keep reading on reddit ➡
Hi, I have an 8-GPU A100 box and would like to track, at a high-level, the total % of time the GPUs are utilized each week and am looking for tools to do this. Here's what I've found so far.
- nvidia-smi https://developer.nvidia.com/blog/cudacasts-episode-7-nvidia-smi-accounting/
- DCGM https://github.com/NVIDIA/gpu-monitoring-tools
Does anyone have experience with either or both of these? Any suggestions for good ways to use them?
UPDATE: changed the first sentence to note that I'm looking for utilization per GPU per week.
Hello all
I'm doing an internship with one of the big four assurance companies which means I now have access to transactional data (sales, cost of goods sold, salaries, etc.) from 250 or so companies' ERP systems dating appx. five years back.
My goal is to run (a portion!) of that through some sort of machine learning algorithm to learn something about it - which is a really vague goal...
I've been thinking about the k-mean clustering algorithm. Can I perhaps use it to cluster transactions or companies in some way? Is there something to learn about companies that saw their turnover/employee count drop as a result of the covid-19 outbreak and those that didn't.
Anyways, I would be really interested in finding out if you have done something similar or perhaps have any good suggestions as to what would be interesting to learn about accounting data.
Thanks in advance.
If I have 24k caps and someone buys a legendary for say 5k I’d be losing out on 4k caps that just get sent into the void because BGS didn’t have the foresight to allow caps to be stored in the machine.
Hello everyone,
I’m a student and about to start my graduation project at an accounting firm. The firm wants to know whether they can implement machine learning in their auditing process.
In order to prepare for this project I first want to do literature research in order to find out what’s already done in the accounting world with respect to machine learning. I want to ask if you guys know any good papers / articles / books I can start with.
The main focus is the audit process thinking about finding outliers / patterns in the financial data of customers (which are small to medium sized companies).
I would be very nice if I have some good articles to start with! Thank you in forward!
so, is there any mobile gsm fax or printers for battery with usb input for keyboard and ripped memory? e.g. for handheld accounting, such as GSM Fax Machine - PLK-TFG
Hey guys,
I have 4 years of progressive accounting / finance experience in analytics, reporting and project management. I am looking to get started in machine learning but not sure where to start.. hoping some of you can shed a light for me!
Thanks
###Build Help/Ready:
Have you read the sidebar and rules? (Please do)
Yes, I've read.
What is your intended use for this build? The more details the better.
This machine is to be my wife's workstation. She is the fiscal director of a fair sized organization, and when she works at home (often) she'll have multiple large spreadsheets open as well as multiple other applications. Her current machine (pre-built Dell with AMD phenom II X6 1035 6 cores at 2.6 GHz, ATI Radeon HD 5450 and 8 GB of RAM) was purchased in 2010 and she runs it with dual monitors. While nothing is failing (yet), sometimes it is a bit sluggish, and I am tentatively planning a build. I want this to be a powerhouse, she wants to run 3 monitors. Excel supports multi core, so I was leaning towards Intel 6 cores with hyper-threading. SSD for OS and Apps to make it a spry system.
If gaming, what kind of performance are you looking for? (Screen resolution, FPS, game settings)
She is NOT a gamer. The gamer of the household already has his machine.
What is your budget (ballpark is okay)?
Based on tentative build below, I'd say about $1600 (including the additional monitor). I already have the CPU cooler listed from a previous project.
In what country are you purchasing your parts?
USA, quasi near a micro center
Post a draft of your potential build here (specific parts please). Consider formatting your parts list. Don't ask to be spoonfed a build (read the rules!).
PCPartPicker part list / Price breakdown by merchant
| Type | Item | Price |
|---|---|---|
| CPU | Intel Core i7-6800K 3.4GHz 6-Core Processor | $429.00 @ Amazon |
| CPU Cooler | Cooler Master Hyper 212 EVO 82.9 CFM Sleeve Bearing CPU Cooler | $24.89 @ OutletPC |
| Motherboard | Asus X99-A/USB 3.1 ATX LGA2011-3 Motherboard | $203.98 @ Newegg |
| Memory | Crucial Ballistix Sport 16GB (4 x 4GB) DDR4-2400 Memory | $66.99 @ Adorama |
| Storage | [Samsung 850 Pro Series 512GB 2.5" Solid State Drive](http://pcpartpicker.com/product/v |
>What will you be doing with this PC? Be as specific as possible, and include specific games or programs you will be using.
- So this computer will be my gaming, college workstation, and accounting workstation. I play games like League of Legends, CS Go, Fortnite and use my two monitors for running multiple programs for my work like Lacerte and Accounting CS and multiple PDFs.
>What is your maximum budget before rebates/shipping/taxes?
- $875 is the most I can spend.
.
>When do you plan on building/buying the PC? Note: beyond a week or two from today means any build you receive will be out of date when you want to buy.
- I have already ordered my RAM and my power supply and want to build within the next week.
.
>What, exactly, do you need included in the budget? (Tower/OS/monitor/keyboard/mouse/etc)
These are the two monitors I use and I do not need any other peripherals included with my build.
This is the RAM I have ordered because I got it at a good price. $74.05
This power supply my brother gave to me because he got one and then realized he didn't need so I plan on using it. $74.99
- Graphics Card: https://pcpartpicker.com/product/RGyV3C/msi-geforce-gtx-1660-ti-6-gb-ventus-xs-video-card-gtx-1660-ti-ventus-xs-6g-oc
This card is just the one that stood out to me and is something I was looking for. It has amazing reviews and so I wanted to build something around it.
That is all I have parts wise but the rest is up to you.
>Which country (and state/province) will you be purchasing the parts in? If you're in US, do you have access to a Microcenter location?
- I live in Bloomington, Illinois and do not plan on driving two hours to a Microcenter.
>**If reusing any parts (including monitor(s)/keyboard/mouse/etc), what parts will you be reusing? Brands and mod
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... keep reading on reddit ➡Hello all
I'm doing an internship with one of the big four assurance companies which means I now have access to transactional data (sales, cost of goods sold, salaries, etc.) from 250 or so companies' ERP systems dating appx. five years back.
My goal is to run (a portion!) of that through some sort of machine learning algorithm to learn something about it - which is a really vague goal...
I've been thinking about the k-mean clustering algorithm. Can I perhaps use it to cluster transactions or companies in some way? Is there something to learn about companies that saw their turnover/employee count drop as a result of the covid-19 outbreak and those that didn't.
Anyways, I would be really interested in finding out if you have done something similar or perhaps have any good suggestions as to what would be interesting to learn about accounting data.
Thanks in advance.
Hello all
I'm doing an internship with one of the big four assurance companies which means I now have access to transactional data (sales, cost of goods sold, salaries, etc.) from 250 or so companies' ERP systems dating appx. five years back.
My goal is to run (a portion!) of that through some sort of machine learning algorithm to learn something about it - which is a really vague goal...
I've been thinking about the k-mean clustering algorithm. Can I perhaps use it to cluster transactions or companies in some way? Is there something to learn about companies that saw their turnover/employee count drop as a result of the covid-19 outbreak and those that didn't.
Anyways, I would be really interested in finding out if you have done something similar or perhaps have any good suggestions as to what would be interesting to learn about accounting data.
