What is the difference between mining with multiple workers vs single?


I am using 4 BITMAIN Antminer U2, on a usb hub plugged into one usb port on my pc. Do I put 4 workers into one config file or do I make multiple config files?

I was using just one worker for all 4 of the antminer's but I am trying to make 4 workers for the 4 miners. Here is my example below:

{ "pools" : [ { "url" : "stratum+tcp://us-east.stratum.slushpool.com:3333", "user" : "INAP.slave", "pass" : "japruitt$100k", "pool-priority" : "0" }, { "url" : "stratum+tcp://us-east.stratum.slushpool.com:3333", "user" : "INAP.worker1", "pass" : "japruitt$100k", "pool-priority" : "0" }, { "url" : "stratum+tcp://us-east.stratum.slushpool.com:3333", "user" : "INAP.slave34", "pass" : "japruitt$100k", "pool-priority" : "0" }, { "url" : "stratum+tcp://us-east.stratum.slushpool.com:3333", "user" : "INAP.slave69", "pass" : "japruitt$100k", "pool-priority" : "0" } ] , "api-mcast-port" : "4028", "api-port" :...
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It is amazing that such a seemingly easy question generated so much attention...

ML has evolved from pattern recognition. ML decision trees are nothing else but previously used regression trees in statistics.

They attempted to approach the problem with various symbolic methods, as well as what were then termed "neural networks"; these were mostly perceptrons and other models that were later found to be reinventions of the generalized linear models of statistics. [Wikipedia]

Machine learning and statistics are closely related fields. According to Michael I. Jordan, the ideas of machine learning, from methodological principles to theoretical tools, have had a long pre-history in statistics. MI Jordan (2014-09-10). "statistics and machine learning". Retrieved 2014-10-01. [Wikipedia]

However, it is also true that: Some statisticians have adopted methods from machine learning, leading to a combined field that they call statistical learning....

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Data Mining vs Data Warehousing

The process of data mining refers to a branch of computer science that deals with the extraction of patterns from large data sets. These sets are then combined using statistical methods and from artificial intelligence. Data mining in modern business is responsible for the transformation of raw data into sources of artificial intelligence. The data is manipulated and is thus able to give reliable decisions that can be used in decision making. This gives businesses an advantage over competition in that they have data sets that can be relied upon to provide intelligence. Data mining is also used by organizations in profiling practices including marketing, surveillance scientific discovery and detection of fraud.
There are other common terms that might be associated with data mining, such as data fishing, data dredging or even data snooping. All these point toward different variations of data mining which are employed in sampling small data...

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The terms data mining and data warehousing are often confused by both business and technical staff. The entire field of data management has experienced a phenomenal growth with the implementation of data collection software programs and the decreased cost of computer memory. The primary purpose behind both these functions is to provide the tools and methodologies to explore the patterns and meaning in large amount of data.

The primary differences between data mining and data warehousing are the system designs, methodology used, and the purpose. Data mining is the use of pattern recognition logic to identity trends within a sample data set and extrapolate this information against the larger data pool. Data warehousing is the process of extracting and storing data to allow easier reporting.

Data mining is a general term used to describe a range of business processes that derive patterns from data. Typically, a statistical analysis software package is used to identify...

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The main difference between these two visa types is that a single entry visa allows entry to Canada for one-time only and a multiple entry visa allows entry many times.

Which type of visa to get

You don’t need to choose. A multiple entry visa is what all visa applicants are automatically considered for. We will review your application and issue you a visa depending on your situation.

Multiple entry visa

While valid, a multiple entry visa will let you travel to Canada for six months at a time as many times as you want. It will be valid for up to 10 years or one month before your passport expires, whichever is shorter. You must arrive in Canada on or before the expiry date on your visa.

Single entry visa

A single entry visa lets you travel to Canada only one time. For instance, you may only be eligible for a single entry visa if:

you are eligible for a fee-exemption and the purpose of your entry to Canada is limited (such as, for an...
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Last updated 2nd April 2014.

In 2009, Satoshi Nakamoto launched bitcoin as the world's first cryptocurrency. The code is open source, which means it can be modified by anyone and freely used for other projects. Many cryptocurrencies have launched with modified versions of this code, with varying levels of success.

Litecoin was announced in 2011 with the goal of being the 'silver' to bitcoin's 'gold'. At the time of writing, Litecoin has the highest market cap of any mined cryptocurrency, after bitcoin.

Here's our guide to show you the crucial difference between bitcoin and litecoin.

At-a-glance differences

Mining differences

Just like bitcoin, litecoin is a crytocurrency that is generated by mining. Litecoin was created in October 2011 by former Google engineer Charles Lee. The motivation behind its creation was to improve upon bitcoin. The key difference for end-users being the 2.5 minute time to generate a block, as opposed to...

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Over the last few blog posts, I’ve discussed some of the basics of what machine learning is and why it’s important:

– Why machine learning will reshape software engineering
– What is the core task of machine learning
– How to get started in machine learning in R

Throughout those posts, I’ve been using the following definition of machine learning: creating computational systems that learn from data in order to make predictions and inferences.

However, machine learning isn’t the only subject in which we use data for prediction and inference. Anyone who’s taken an introductory statistics class has heard a similar definition about statistics itself. And if you talk to someone who works in data-mining, you’ll hear the same thing: data mining is about using data to make predictions and draw conclusions from data.

This raises the question: what is the difference between machine learning, statistics, and data mining?

The long answer has a bit of...

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Big data and data mining are two different things. Both of them relate to the use of large data sets to handle the collection or reporting of data that serves businesses or other recipients. However, the two terms are used for two different elements of this kind of operation.

Big data is a term for a large data set. Big data sets are those that outgrow the simple kind of database and data handling architectures that were used in earlier times, when big data was more expensive and less feasible. For example, sets of data that are too large to be easily handled in a Microsoft Excel spreadsheet could be referred to as big data sets.

Data mining refers to the activity of going through big data sets to look for relevant or pertinent information. This type of activity is really a good example of the old axiom "looking for a needle in a haystack." The idea is that businesses collect massive sets of data that may be homogeneous or automatically collected. Decision-makers...

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A CPU, or Central Processing Unit, is what is typically referred to as a processor. A processor contains many discrete parts within it, such as one or more memory caches for instructions and data, instruction decoders, and various types of execution units for performing arithmetic or logical operations.

A multiprocessor system contains more than one such CPU, allowing them to work in parallel. This is called SMP, or Symmetric MultiProcessing.

A multicore CPU has multiple execution cores on one CPU. Now, this can mean different things depending on the exact architecture, but it basically means that a certain subset of the CPU's components is duplicated, so that multiple "cores" can work in parallel on separate operations. This is called CMP, Chip-level Multiprocessing.

For example, a multicore processor may have a separate L1 cache and execution unit for each core, while it has a shared L2 cache for the entire processor. That means that while the processor has...

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Data mining is the process of finding patterns in a given data set. These patterns can often provide meaningful and insightful data to whoever is interested in that data. Data mining is used today in a wide variety of contexts – in fraud detection, as an aid in marketing campaigns, and even supermarkets use it to study their consumers.

Data warehousing can be said to be the process of centralizing or aggregating data from multiple sources into one common repository.

Example of data mining

If you’ve ever used a credit card, then you may know that credit card companies will alert you when they think that your credit card is being fraudulently used by someone other than you. This is a perfect example of data mining – credit card companies have a history of your purchases from the past and know geographically where those purchases have been made. If all of a sudden some purchases are made in a city far from where you live, the credit card companies are put on...

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Multicore System

A Multi-core processor is a single computing component that has two or more independent cores or processing units. These cores are the ones that read and perform your program’s instructions on your CPU. These instructions are basically your ordinary CPU instructions like add, move data, and branch.

Being a multi-core processing unit, it can execute multiple instructions at the same time. A multi-core processor is intended to lessen the heat coming off your CPU and to increase the speed of processing these instructions. Programs that are said to have an increase in speed do have to be amenable to parallel computing, meaning that instructions can be divided into smaller ones for the multi-core to execute simultaneously.

These cores are usually integrated into a single IC (integrated circuit) die, or onto multiple dies but in a single chip package. A single chip package is a surface mount technology package for your IC. In other words, it houses...

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When you study the computer processor comparison charts, one specification, besides the clocking frequency, which will catch your eye, is the one mentioning number of 'Cores' and 'Threads'. In this Buzzle article, my aim is to clearly define the concept of a core and thread and identify the difference between the two.

What is a Processor Core?
The speed of a computer processor is defined by the clocking frequency at which it may work. To achieve higher clocking frequencies, chip manufacturers initially went on improving fabrication technology to add more and more number of transistors to a chip. Till a point, clocking frequencies went on increasing until they hit a 'thermal' wall that made addition of more transistors impossible. That's what prompted them to put more than one chip together on the same circuit, to achieve superior performance, leading to 'multicore' processors.

So what's a core? A core is basically a physically distinct CPU (central processing...

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Difference Between DBMS and Data Mining

A DBMS (Database System Management) is a complete system used for direct digital databases that allows the storage of content database creation / maintenance of data, search and other functionalities. However, Data Mining is a field in computer science, which deals with the extraction of information previously unknown and interesting from raw data. Usually, the data used as input for the process of Data Mining are stored in databases. Users who are inclined to use statistics use data mining. They use statistical models to search for patters that are hidden in the data. Data miners find useful relations between data elements, which is good for business.


DBMS, sometimes just called a database manager, is a collection of computer programs that is dedicated to the management (that is to say the organization, storage and recovery) of all databases that are installed in a system (that is to say the hard drive or network)....

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An income statement, also called an earnings report or a profit-and-loss statement, shows a company's fiscal operations during a specified time period. These income statements, typically produced quarterly or annually, display the company's revenues, expenses and the difference between the two. Companies with specific business structures, such as corporations, must produce a multiple-step income statement, while other companies have the option of presenting a single-step income statement.

Advantages of Multiple-Step Income Statement

A multiple-step income statement includes an itemized list of a company's various sources of revenues and expenses. A multiple-step income statement reveals the company's gross profit, which is the difference between its sales revenue and its cost of goods sold, and operating profit, which is the difference between its gross profit and its operating expenses. Investors and financial analysts often use the data from multiple-step income...

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Recently you might have heard about the idea to move from an Ethereum consensus based on the Proof of Work (PoW) system to one based on the so-called Proof of Stake.

In this article, I will explain to you the main differences between Proof of Work vs Proof of Stake and I will provide you a definition of mining, or the process new digital currencies are released through the network.

Also, what will change regarding mining techniques if the Ethereum community decides to do the transition from “work” to “stake”?

This article wants to be a basic guide to understanding the problem above.

What is the Proof of work?

First of all, let’s start with basic definitions.

Proof of work is a protocol that has the main goal of deterring cyber-attacks such as a distributed denial-of-service attack (DDoS) which has the purpose of...

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Definitions of Job and Career

“Job” is defined as

a piece of work, esp. a specific task done as part of the routine of one's occupation or for an agreed price. a post of employment; full-time or part-time position. anything a person is expected or obliged to do; duty; responsibility. It usually is considered to pertain to remunerative work (and sometimes also formal education).

A job is defined as anything a person is expected or obliged to do; a piece of work, especially a specific activity done as part of the routine of one's occupation or for an agreed price. Through a job a person can earn to support her basic needs and family or friends. A job can also be viewed as a contract between the employer and the employee. In commercial enterprises, the basic purpose of a job is to create profits for the employer, and the employee contributes labor to the enterprise, in return for payment of wages, or stock options etc.

"Career" is defined as

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Let’s answer Scott Hanselman interview questions.

First of all, I would like to clear, purpose of this post is only educational/shareing knowledge. May be i am wrong and i would love if any1 of you correct me through commenting to this post with authentic references. i will really appreciate the contributors.

Many days back I saw Scott hanselman website and kept reading his many other blogs and I found a list of interview questions which he said, he asked usually and he thinks should be known by .net guys at different levels. I got many (some wrote and answered as well) interview questions and put them at single platform just for knowledge sharing @ http://interviewquestion.wordpress.com . Actually I always like to be part of interviews questions so I decided to write answer of them according to my little knowledge.

I can say now, it’s really great learning/evaluation experience when I was thinking/writing their answers as to just skim them is another thing...

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Announced today are some really cool new Power BI features:

Power BI Premium

Previously available were two tiers, Power BI Free and Power BI Pro ($10/user/month). The problem with Power BI Pro is that for large organizations, this can add up. In addition, their performance needs might not be met. Power BI Premium, which is an add-on to Power BI Pro, addresses the concern about cost and scale.

For costs, it allows an unlimited number of users since it is priced by aggregate capacity (see Power BI Premium calculator). Users who need to create content in Power BI will still require a $10/month Power BI Pro seat, but there is no per-seat charge for consumption.

For scale, it runs on dedicated hardware giving capacity exclusively allocated to an organization for increased performance (no noisy neighbors). Organizations can choose to apply their dedicated capacity broadly, or allocate it to assigned workspaces based on the number of users, workload needs or...

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Last updated 10th March 2014

One of the first questions that anyone interested in mining cryptocurrencies faces is whether to mine solo or join a 'pool'. There are a multitude of reasons both for and against mining pools. However, if the hash rate distribution across the bitcoin network is anything to go by (and it is) then most miners are opting to join a pool. Here’s what you need to know.

Pros and cons

If you’re deciding whether to join a mining pool or not, it can be helpful to think of it like a lottery syndicate – the pros and cons are exactly the same. Going solo means you won’t have to share the reward, but your odds of getting a reward are significantly decreased. Although a pool has a much larger chance of solving a block and winning the reward, that reward will be split between all the pool members.

Therefore, joining a pool creates a steady stream of income, even if each payment is modest compared to the full block reward (which currently...

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In this E-Book, I am going to share my project in creating a Bitcoin mining cluster, which I started in June 2011. I will try to include everything from beginning to the end with as much detail as possible. Most of this project was trial and error, so I will do my best to note each step of the way with all the pros and cons. I would beleive this to the most complete guide currently available for helping people understand the basics of Bitcoin mining, and actually being able to delve into it as well. Please keep in mind that my Bitcoin operation is completely handled under Linux operating systems, however I do have a few Windows based Bitcoin miners so I will provide notes, guides, and best practices for that OS as well. Also note that many of the references that I make in this E-Book are in regard to my person Bitcoin mining rigs.

This guide has been featured on:
bitcoinminer.com, bitcoinwatch.com, bitcoinnews.com, bitcoinlinuxguide.info, bitcoinjobs.com, coineer.com...

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