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Video instructions and help with filling out and completing consignee vs importer of record

Instructions and Help about consignee vs importer of record

So what I want to talk about today is the tidy verse and the goal of the tidy verse is not just individual art packages but kind of an ecosystem of our packages that work together to make data analysis is easy and as fun and as seamless as possible and to me when you're thinking about doing data science there really are these seven main components so the first thing you always have to do is get your data from winner of a crazy format it's currently stored in into your analysis environment of choice you've got it imported in from from disk from a database from the meat from the web and get it into R once you've done that I think it's a really good idea to tidy your data to store it in a consistent format we'll talk about this idea I kind of again and again throughout this talk but this idea of sharing structure of constructing some uniform objects that you can operate within the same way for many different tasks is a really really powerful idea once you've done that once you've tided it you'll often do some transformation that's things like adding new variables that are functions of existing variables creating summaries collapsing your data down or maybe just rearranging the rows or picking out from hundreds of variables just a handful that you're interested in once you've done that in my opinion there really are two main engines of knowledge discovery visualization in modeling now visualizations are fundamentally a human activity and they're great because they can surprise you they can show you something that you did not anticipate visualizations are also really great at helping you make those sort of vague ill-formed questions and your head into precise questions that can be answered quantitatively so visualizations are great because they are fundamentally a human activity but it's also their downfall because if we a humanist look at every visualization and that means they fundamentally do not scale as you get more variables as you get more observations you simply cannot look at every possible visualization so to me the complementary tool to visualization is more and I think a modeling is very broadly but basically whenever you've got a precise question that you can answer with a simple algorithm or some summary statistics I think of that as a model that statistical modeling that's machine learning that's deep learning this data mining and then this is a fundamentally a computational tool right this is something that computers do and again that says it this has its advantages it scales much better and even if it doesn't scale that well you can just throw more and more computers at them all at the problem and it's much much easier than throwing more brains at a problem but every model makes assumptions and a model by its very nature cannot question those assumptions so that means at some fundamental level a.


How do I get a DBS debit card which got returned by a courier due to the consignee being out of station?
There are several options infront of you. The best would be to block the existing card and request a new one.Login to DBS app. Under debit Card section, you get an option to block the existing card. After you block the old one, request a new card through the same channel. Good thing is, they don't charge money for card replacements.In my view, DBS Bank is the bank of the future. The benifits include Unlimited ATM withdrawals, no minimum balance requirement, paperless and it just requires aadhar number and pan number to open accounts.
Who can figure out (mathematically) how sure you should be of an answer (expressed as a certain percentage) to fill it in on a test with guess correction vs. leaving the question blank?
See my answer to How can I apply statistics to solve multiple choices? How can I understand when it is a convenient answer or not?.
Are demurrage and detention charges to the consignee/shipper justifiable, if a port is congested and the situation is out of hands of the consignee/shipper?
This is one of the risks involved in trading, look to the INCO terms to governing the sale. Was the cargo insured, and up to what point and under which rules? Who is the assured party?Detention is more easily waived than demurrage. We must assume in your case the place of delivery and port of discharge are the same.There are times when a consignees have been able to secure release through informal means. Sometimes when the cargo’s value is less than the accrued demmurage/detention charges, consignees will allow the cargo to be auctioned off to satisfy the lien of the carrier and walk away from the trade.Generally, the best course of action is to immediately pay all accrued charges as quickly as possible as the daily charges can double or triple as times passes.Upon free time expiring, the rule is that once on demurrage…always on demurrage.
How can I fill out Google's intern host matching form to optimize my chances of receiving a match?
I was selected for a summer internship 2016.I tried to be very open while filling the preference form: I choose many products as my favorite products and I said I'm open about the team I want to join.I even was very open in the  location and start date to get host matching interviews (I negotiated the start date in the interview until both me and my host were happy.) You could ask your recruiter to review your form (there are very cool and could help you a lot since they have a bigger experience).Do a search on the potential team.Before the interviews,  try to find smart question that you are going to ask for the potential host (do a search on the team  to find nice and deep questions to impress your host). Prepare well your resume.You are very likely not going to get algorithm/data structure questions like in the first round. It's going to be just some friendly chat if you are lucky. If your potential team is working on something like machine learning, expect that  they are going to ask you questions about machine learning, courses related to machine learning you have and relevant experience (projects, internship). Of course you have to study that before the interview. Take as long time as you need if you feel rusty. It takes some time to get ready for the host matching (it's less than the technical interview)  but it's worth it of course.
What percentage of time is spent coding vs figuring out how to write code?
The time you spend coding depends on several factors, not all of them independent.  I would eanywhere from 20-80% depending on your role.  The 20%'ers are team leads, devops, solution architects, maybe some directors or vp's of engineering who want to keep their hands on the code or are in smallish startups.  The 20-80%ers are most good developers who try to balance just banging out code with thoughtful design, stay on top of new technologies, understanding the requirements, participating in meetings, etc.  The 80%'ers are those devs who are in doing very repetitious work, often offshored.   Here are the factors at play:A big factor is your experience with the stack or that piece of the stack you are responsible for. So if, for example, you have built several generic CRUD  apps in ROR which you deploy into Heroku every time, you could theoretically hit close to 100% of your time coding.  I say 'theoretical' because it is unlikely a person or team could feed you requirements/stories consistently, testers would be ready to test, etc.  So you would have dead time.  You also have planning, perhaps code reviews, etc. So practically, you might only hit 80%.  But keep in mind that this is highly repetitious work by definition. So unless you like that kind of stuff, you dont want to be an 80% coder. Also, if all you did was bang out ROR apps all day, you are probably doing very commodity work and so are not getting paid too well (There are notable exceptions like, for example, very good full stack people).Another factor is developer motivation and curiosity.  If you get bored easily, like to learn and play with stuff, and seek to improve your skills and the craft in general, then you will simply not tolerate 80% coding. You will work for a firm that is doing something different, or you will lobby or steer architectural decisions to some new (to you at least) technology.  Yet another factor is your role.  As a tech lead, for example, you will spend more time in meetings, mentoring, code reviewing, and other non-coding technical activities.  Also, there are some roles, like a solutions architect in some organizations, that are part programmer and part customer facing requirements gatherers. At a very young startup, you may be wearing multiple hats. If you are a machine learning or computational programmer, you will spend a lot of time testing algorithms.  And for traditional cloud based apps, you also have deployment or devops which can burn tons of time, particularly for newbies.  There are some other smaller factors:1) Your experience with the domain or the degree with which technical marketing or others can insulate you from those issues.2) How many technologies you deal with. If you deal with many technologies, or very new ones, there are a lot of changes to stay on top of.
How do I fill out the form of DU CIC? I couldn't find the link to fill out the form.
Just register on the admission portal and during registration you will get an option for the entrance based course. Just register there. There is no separate form for DU CIC.
For home recording, how important is it to use studio monitors vs computer speakers?
Depends on what is the computer speaker :)The worst case like a plastic case maybe 2 Watts distorting and not bass example would not do the Job. Except for checking later if your mix is working even on low grade speakers.The speakers (or headphones) you mix on should have a great resolution on detail level. You should be able to hear the tiniest EQ change or if the vocals are just a tad too loud or too much in the background. To achieve that the speaker should be as linear as possible. This usually leads to buying a near field monitor speaker. There are also so called computer speaker which are of high quality, but they tend to be costy. It simply makes more sense to buy a near field monitor as this would waste less money.Sadly this also includes your room and the placements of the speakers, as the bass response is heavily influenced by room acoustics and speaker placement. You will not be able to judge tiny changes in the midrange when the bass is so boomy due to misplacement or room modes it overlays everything. Or the other way round: you will not get the bass drum sound right if by placement there is a great dip (not eqable!) in the 80Hz region.Easy trick: Buy DSP controlled speakers which can also be linearized for your listening position. And place the speakers well. Like that you have the truest sound reproduction :) There is also a speaker linearization solution for present speakers: ARC from IK Multimedia. It works like Audissey in home cinema receivers (in fact it is Audissey put in software). It will linearize your speakers sound in your listening position or in a wider field in the room. As a feature it offers to simulate cheap/other speakers to check your mix later.
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