Trending March 2024 # Precious Gems Analytics, Can It Be Done For Diamonds? # Suggested April 2024 # Top 10 Popular

You are reading the article Precious Gems Analytics, Can It Be Done For Diamonds? updated in March 2024 on the website Moimoishop.com. We hope that the information we have shared is helpful to you. If you find the content interesting and meaningful, please share it with your friends and continue to follow and support us for the latest updates. Suggested April 2024 Precious Gems Analytics, Can It Be Done For Diamonds?

Price is the ultimate factor influencing a potential buyer’s decision before they enter the market. Admittedly, diamonds are expensive, making it pertinent to do due diligence before spending hundreds of dollars. Doing so will help you get the most value for your diamond while also allowing you to educate yourself on the intricacies of diamond pricing.

This article discusses two methods used across the industry to determine diamond prices: predictive analysis and PyTorch. We will also explain the elements these methods consider and the steps they undergo before putting a price tag on a diamond. Additionally, also check Petra Gems’ comprehensive diamond prices charts and calculation methodology for reference as well.

Predictive Analysis

As the name suggests, this model involves predictions, which could pertain to a diamond’s retail price and the values that its essential elements—color, clarity, cut, carat, depth, and table—carry. It also factors in certification, predicting that most people will not prefer buying a diamond without a piece of paper certifying its authenticity and 

For a prospective buyer, the price of diamonds is the most essential factor. Diamonds are undoubtedly some of the most expensive goods available; thus, purchasing one should always be done with the same care and attention as making any other significant investment. This indicates that getting the most value for your money should be a top priority for anyone buying a diamond.

In this model, you have a distributor of diamonds on the one hand and a random number of diamonds on the other. The distributor wants to know how much his stones will fetch him, but they are unsure about market analytics. Utilizing a vast database of diamond values, an analytics team will create a linear regression model to forecast a diamond’s price depending on its characteristics.

The prices resulting from this method are directional, meaning they might not be accurate in some circumstances. Though—as mentioned before—the model considers carat, cut, and clarity, a diamond’s price can be impacted by other factors, including shape and color. 

PyTorch

Using the aforementioned attributes—the 4Cs, depth, and table—this diamond pricing technique takes to a linear regression model, which is a straightforward machine learning algorithm. The model presupposes a linear relationship between the independent (input) and dependent (output) variables and involves certain steps.

The required set of packages is imported and loaded into a dataset, which is then converted into a data frame. The dataset is hosted by Kaggle, a platform containing a great deal of code and data to ease science work. 

Afterward, the acquired data is analyzed using the exploratory data analysis (EDA) method, which helps prepare it for training purposes. The linear regression model created as a result of the analysis and preparation helps the model fit the data; it is said that unless the model is adequately prepared, it cannot yield proficient results.

After undergoing thorough processing and monitoring to help it become relevant, the model is ready to predict diamond prices.

From the two models, we can conclude the following points, each having significant importance in terms of their role. However, none of the following undermines the importance of other factors.

Price and depth are inversely correlated.

A diamond’s carat and dimensions strongly impact its price.

The main factor affecting a diamond’s price continues to be its weight (carat).

You're reading Precious Gems Analytics, Can It Be Done For Diamonds?

The State Of App Piracy And What Can Be Done To Fix It

[iDB does not condone app piracy.]

Have you ever been inside a peddler’s mall? It’s basically a huge consignment shop where different vendors come and sell their knick knacks under one roof.

People who have items to sell in a peddler’s mall pay the mall’s owner a percentage of their sales for the rights to sell in the store. People will come to the peddler’s mall to see what kind of deals they can find and to barter with the sellers.

Before I go any farther, I want to clearly define piracy. The term “piracy” obviously tems from the word pirate. Thanks to pop culture, the word “pirate” automatically triggers images of Jack Sparrow, missing teeth, parrots, gold, giant ships, swords, etc. But pirates have actually been around a lot longer than you would think.

From as early as 13th century B.C, the “Sea Peoples” raided the eastern Mediterranean coast. In fact, every since nautical exploration began, you can bet your best gold piece that there has been pirates.

Pirates have always been plunderers and thieves that run from the law, and only until recently has the term “pirate” taken on a whole other nature.

There’s been a rapidly growing trend in mobile app piracy. Thanks to the ease of access that is currently present for piracy on iOS, the iPhone is by far the largest and most blatantly obvious mobile piracy platform in existence.

Software piracy can be boiled down to this simple definition: acquiring paid software and using it for free without the developer’s consent.

There are two types of iOS app piracy:

App Store Piracy

If you take ten random jailbroken iPhones from ten random people, chances are that at least seven of the devices will have an app called Installous. Once you jailbreak your device, you can install a new portal to the App Store called Installous. The Installous application is a creation of the Hackulo.us team, and has been around since 2008.

Installous provides you with cracked copies of the apps in the App Store. Hackers upload cracked apps to be shared and indexed within the Installous app. Unlike the App Store, no account or payment method is required to have free access to the multitude of cracked apps on Installous.

The App Store is home to the world’s largest and most diverse collection of mobile applications. Because it is so easy to download free apps through Installous on a jailbroken device, App Store piracy runs rampant among the jailbreak community.

Cydia Piracy

Cydia indexes all of its jailbreak tweaks/apps/themes, etc. through repositories. A repository, or “repo,” is essentially a storage house for content that’s delivered by Cydia.

The software piracy community cracks and distributes Cydia content through repos. Cydia apps/tweaks that developers submit to credible repos like BigBoss get cracked and re-hosted to be downloaded for free by repos like SiNfuL iPhone Repo and xSellize.

The creator of Cydia, saurik, has clearly stated on multiple occasions that he does not condone app piracy. But because Cydia is an open market for anyone to host their content, there’s nothing he can really do about the repos distributing cracked apps.

Now, back to the peddler’s mall.

A peddler’s mall is similar to the App (and Cydia) Store in a lot of ways. Real people with real lives are selling goods to real people with real lives. It’s easy to forget that an actual person spent real work hours and physical resources on creating our favorite apps. The developers behind the apps you use have to feed their families and pay for living expenses just like you do. The only difference is that, for a lot of them, software development is their only source of income.

I don’t want to get into too much of an emotionally driven argument, but it’s simple if you think about it in real world terms. In a peddler’s mall, it’s pretty easy to shoplift. The facility is usually not that hi tech, and there’s no door alarm to warn the employees when un-purchased goods walk out the front door. There’s usually not even security cameras to catch you pocketing something.

Even if you planned on only testing something out and then bringing it back, you hopefully wouldn’t shoplift from a peddler’s mall. Society and the law have ingrained into our minds that physical stealing is wrong, and, for the most part, we wouldn’t consider shoplifting from a real world store.

Why do we treat a virtual store differently? Just because something is possible doesn’t make it permissible.

iTry

My argument is that the App and Cydia Store should be treated no differently than a physical store. When you pirate an app, you are directly slapping the app’s developer in the face for his/her hard work. That sounds tough, but it’s true.

There are three types of people that pirate apps:

The person who just refuses to pay real money for the apps they download, for whatever reason. (I realize that teenagers are a huge demographic of app pirates. But their age does not excuse them.)

The person who wants to try an app before they make a purchase. (This usually applies to apps that cost +$2.99.)

The person who pretend they want to try an app first, but has no plans to actually pay for anything.

There are two reasons why app piracy exists:

There are cheap people.

There is no way to universally demo software from the App Store or Cydia.

There’s not much that can be done about cheap people, but Apple and saurik have the ability to help solve number 2.

Developers have been experimenting with “free” and “lite” versions of apps to solve the problem of no universal demo ability in the App Store. Due to Apple’s current restrictions, there is no default method for offering demos/trails of apps.

Instead, developers are creating stand-alone companions to their full version apps. Especially in the gaming genre, you can find simpler versions of popular games for free and then buy the full version at the paid price.

If Apple could find a way to implement a demo infrastructure into the App Store, it would cut out the segment of people that use methods like Installous to “test” out apps. Even if you do set out with good intentions, it’s easy to forget that your new favorite app was stolen. You can end up never actually buying the app.

There’s no reason why anyone should have to pay a good amount of money for something they’re not 100% sure they’ll like. I totally understand the hesitancy about buying an app that’s $5 without even trying it. Especially when you get to the price range of +$10, consumers really begin to question if they’re making the right decision. And that’s Apple’s fault.

I totally understand the hesitancy about buying an app that’s $5 without even trying it. Especially when you get to the price range of +$10, consumers really begin to question if they’re making the right decision. And that’s Apple’s fault.

On the Cydia side of things, it gets more tricky. Because of the complexity in content and distribution, it would be a technical feat of magic to have universal demo capability on the Cydia storefront.

Developers could start offering “lite” versions of their apps and tweaks for people to try, but then there’s the issue of too much clutter and confusion. There would also be a problem with apps/tweaks that run at the root level (and many do).

My request is for Apple to create a demo feature in the App Store. It doesn’t have to be anything fancy; just an option under the “Buy” button to “Try.” This type of feature would solve the clutter issue of “lite” and “free” versions of the same app, and also provide no excuse for those who pirate apps for trial’s sake.

The bottom line is: don’t steal apps. You may think you’re just one fish in a big pond, but it all adds up.

And if you’re going to stick to the “try it before you buy it” mentality, make sure to follow through and actually buy apps you want to keep.

If you’re going to spend $200 on an iPhone, the least you can do is spend $1.99 for a great piece of software. That’s the price of a coffee.

It Might Be Too Late For A Nokia Android Phone

It might be too late for a Nokia Android phone

The Nokia-branded Android smartphone we’ve demanded since before the company’s ill-fated commitment to Windows Phone is finally coming, but it may be too little, too late. News today that Nokia will license its name for the next ten years to a new line of phones and tablets, only running Google’s platform rather than Windows 10, seemed initially to be the perfect opener to Google I/O 2024, but it also raises one big question: does anybody still care about a Nokia device?

Today’s licensing deal isn’t the first such move by Nokia – the company lent its branding and some design oversight to an Android tablet a couple of years ago, though it never officially reached western markets, and dabbled in Android phones with the short-lived Nokia X – but it is the most significant.

The phones and tablets will be made by a new company, HMD global, formed in Finland specifically to pump cash into a fresh line-up to be manufactured by Foxconn. Nokia will get royalties covering its name and its IP, while former exec Arto Nummela – until now the head of Microsoft’s Mobile Devices business for Greater Asia, Middle East and Africa – will be HMD global’s CEO.

As well as provisionally securing the Nokia brand from Microsoft to use on more basic phones, HMD global also has acquired “certain related design rights” from the Windows maker; it’s too soon to say whether that means the distinctive polycarbonate and metal design we’d grown familiar with from Lumia will be returning, but that’s likely to be the hope among Nokia fans.

All the same, just how many of those fans are there now?

Back when Nokia made the big switch to Microsoft’s OS, ditching Symbian in the process, the smartphone market was a very different one to today. Android was still a Wild West of sorts – 3.0 Honeycomb was only just being released – and the big names who had dominated flip and then feature phones were still the primary players.

The iPhone 4, meanwhile, was doing nothing to slow iOS adoption, the first significant design swing from Apple as the software itself filled in many of the gaps users had complained kept it from greatness.

Today, Apple dominates a huge section of the market. More importantly, the Android OEM space has condensed down: Samsung still succeeds, as much by its marketing budget as its phones, but new names like Huawei have – with the heft of Google and the Nexus project behind them – been propelled into the market with an alluring combination of affordability and high-end specifications.

Meanwhile HTC and LG, once huge names, are now struggling to gain anywhere near the same degree of traction.

Then there’s Xiaomi. The Chinese phone-maker is notable not only for the quality and low price of its devices, but the huge fanbase it has cultivated along the way. In fact, you could easily compare that near-rabid support with the vocal fans Nokia itself used to command.

The days of such unwavering support are behind the Nokia name, slewed in waves with the loss of Symbian, the adoption of Windows Phone on Lumia, and then – for many the final insult – the sell-out to Microsoft.

Without a guaranteed audience to count on, the reborn Nokia will have to convince on features, pricing, and style. In a best-case scenario, that could look like the sleekest Lumia, pack the photographic abilities of a PureView, and undercut the Nexus 6P on shelves.

The worst-case is Nokia phones and tablets that tug at sentiment that died a long time ago.

5 Ways Big Data Analytics Can Help Your Business

More and more businesses are embracing the concept of big data versus treating it like just another buzz-phrase.

Once heralded as “the next big thing,” adoption of big data analytics is at an all-time high with no signs of slowing down anytime soon. With big data and business analytics software projected to reach nearly $200 billion in revenue by 2023, it’s clear that the business world’s decision to bet on data has paid off so far.

So, what’s the catalyst for such rapid adoption in the first place?

After all, not all data is created equal and the need for massive numbers varies from company to company. According to a 2023 big data survey conducted by NewVantage, the top reasons for big data initiatives include decreasing expenses, exploring innovation opportunities and launching new products and services:

Although big data has uncovered new opportunities for businesses to reel in revenue, it’s also created a slew of challenges for marketers.

According to analytics firm SAS, the most common problems presented by big data to marketers are three-fold:

Determining which pieces of data to gather: with so many moving pieces of any business, it’s natural for marketers to find themselves in a situation where they’re drowning in a sea of numbers

Picking between analytics tools and platforms: more data means more tools, which means more picking and choosing on behalf of marketers already saddled with time and budget constraints

Turning data into action: while it’s easier than ever to acquire mounds of data at a moment’s notice, the act of spinning that data into gold is easier said than done

Does that mean that all hope is lost for marketers looking to benefit from big data?

Absolutely not.

After all, data-driven marketing has become the norm of today’s businesses. Rather than trust assumptions or gut feelings, modern marketers are making decisions by the numbers available to them. In fact, spending on data-driven marketing was up over 60% between 2024 and 2024.

1. Better Analytics = Better Design

As noted in the NewVantage survey, some of the greatest value of big data comes in the form of decreased expenses and faster launch of new products and services. This is being played out in the design world, where data is helping machines learn how to create sophisticated branding elements.

Your logo is the anchor of your brand, but getting one created can be a costly and lengthy affair:

Do it yourself, and you risk missing key elements that designers have been trained to understand.

Online platforms like Tailor Brands are eliminating the need for expensive designers and creative teams, getting brands up and running quickly and inexpensively. They’ve discovered how to take a user’s subjective input about their brand, and apply that to the huge amounts of data collected through their user base to provide machine-generate designs in minutes.

The system makes artistic decisions around colors, typefaces and layout based on design best practices and user feedback, essentially providing access to a massive database of design knowledge. Because their system is set up to continuously learn from all user input, they are able to spot design trends and preferences too, continually improving results.

All of this means brands no longer face the expense of working with logo design teams and can get out there and start marketing in record time.

2. Perfectly Timed Content

Speaking of time, marketers today face some major pain points in regard to content. That is, squeezing the most out of each and every piece we publish is much easier said than done.

Fortunately, analytics can play a major role when it comes to timing and content distribution.

Consider how Growbots’ email marketing platform optimizes send times based on engagement and the peak activity of email subscribers based on data from over one million cold campaigns.

The results of their analysis are nothing to scoff at, either. According to Growbots, email delivery optimization has the potential to nearly double the conversion rate of any given campaign.

Collecting data on followers and subscribers ultimately teaches marketers the best window to reach them, time after time.

This same logic can be applied to the world of social media, too. That’s why solutions such as social scheduling tool Sprout Social created its “ViralPost” platform which automatically schedules tweets and posts in conjunction with the online activity of relevant influencers. This sort of scheduling clues us into both the power of data and automation for today’s marketers.

Big data often reminds us of a rather obvious detail of any given marketing strategy: we can’t be everywhere at once. With these tools on deck, however, the task of marketing around the clock actually becomes a reality.

3. Boosting Sales

Given the cost and legwork involved with leveraging big data, there should be a financial incentive for hopping on the bandwagon, right?

Luckily, there is.

Take the world of ecommerce, for example, where a keen attention to analytics could potentially make or break a business. As noted by Dataconomy, big data has huge implications for sales as it applies to…

Optimized pricing: by tracking purchases and trends in real-time, brands can ultimately identify patterns that result in higher profits (something that 30% of businesses fail to do year after year)

Demand: big data analytics can forecast needs for inventory and essentially prevent the need for a business to ever be out of stock

Predicting trends: keeping a close eye on industry data provides opportunities to determine which products are buzzing with consumers and what’s falling flat.

For marketers making digital sales, even the most minor details uncovered via analytics could result in major profits or losses. Again, the information gleaned by big data often represents points that many marketers wouldn’t think twice about until they were aware of where they might be going wrong.

4. Conversion Optimization

Yet the degree to which big data analytics can help accomplish these goals may be less obvious.

Bear in mind that 48% of big data is attributed to customer analytics, meaning that drilling deep to understand customer behavior should be a matter of “when” not “if”.

The rise of big data is a stern reminder for marketers to take a data-driven approach to conversion optimization. With variables such as headline and CTA copy to color scheme and imagery, there’s plenty to consider on any page of your site or store.

The more data you have to assess the behavior of your traffic, the better.

5. Promoting Personalization

 With so much emphasis on metrics in regard to big data, it’s easy to forget the people and relationships behind those same numbers.

The concept of big data creating more personalized experiences may seem like an oxymoron but just take for example how chatbots are being used to boost customer satisfaction.

For example, the more a fashion chatbot for a brand like H&M “talks” to a customer, the more it learns about their preference in terms of products. The bot is then able to come up with personalized product recommendations as a result:

While marketers aren’t expected to rely on robots, they are expected to regularly gather data from customers in pursuit of a more personalized experience.

Even beyond the world of bots, Amazon’s recommendation engine is a prime example of personalized recommendations via data collection. Considering that lack of personalization annoys nearly three-quarters of all consumers, the key is for marketers to deliver relevant recommendations only.

And although personalization is considered a must-do, 39% of marketers note that a “lack of data” is their biggest challenge toward making it happen.

Therefore marketers looking to get closer to their customers should learn more about them sooner rather than later. Through the power of big data analytics, that crucial personal connection is more than possible.

Breaking Down the Benefits of Big Data

Six Ways You Can Legally Use Microsoft Office Without Paying For It

Microsoft Office is a suite of software programs popularly used in academics and business. The products are designed to serve different purposes and includes Microsoft Excel,  Publisher, Word, PowerPoint, and Outlook, which are designed specifically to enhance productivity. Microsoft Office remains dominant in the field of productivity apps, but it costs a lot of dimes. Some may not be able to pay the huge price for an entire Microsoft Office license just to use a basic one.

Use Microsoft Office free, without paying for it

Despite having a huge number of worldwide users, the prices remain high. Nonetheless, Microsoft Office still rides on a wave of popularity and is used by millions of people. If you are looking for ways to access Microsoft Office for free, well, there are few tricks that will help you get free access to Microsoft Office. However, you can’t use the full version of Microsoft Office for free, forever. Nevertheless, you can use the free options only for a few months until you can afford a full version of Microsoft Office. In this article, we round up some ways to use Microsoft Office for free legally.

1] Use Microsoft Office Mobile Apps

Read: Where to download Word, Excel, PowerPoint, Outlook for free?

2] Use Free Microsoft Office Online

PowerPoint Online provides free access to presentation templates, animations, photos, online videos, and transitions. Additionally, it grants free access to People that allows you to store the contacts, as well Sway to create stunning presentations and reports. However, it’s worth noting that these utilities have limited features open for free. For instance, you won’t be able to use charts, equations, etc in Word Online and also, Excel doesn’t allow you to use custom macros unless and until you purchase a license for full access.

3] Sign Up for 30 days free Microsoft Office 365 Trial

Avail Office 365 for free with their 30 days free trial. You can use the full version of  Office, which includes major Microsoft utilities like PowerPoint, Excel, Word, Outlook, and others. You can install and use  Office 365 on Macs and up to five PCs simultaneously. Additionally, with these subscriptions, you can use Office mobile apps on up to five tablets and phones. Moreover, it also gives access to 1TB of One Drive cloud storage for up to five users. However, to avail of the free trial, you need to provide credit card information at the signup process and Microsoft will charge your account $9.99 per month once the trial period expires. Hence if you don’t want to renew the program, make sure that you cancel the service before the trial period expires to avoid unnecessary deductions.

4] Sign Up for 30 days free Microsoft Office 365 Pro Plus Trial

After the previously mentioned 30 days free  Microsoft Office 365 Trial expires, you can sign up here at chúng tôi and use Microsoft Office 365 ProPlus Trial to get an additional thirty-day trial to use the Microsoft Office program.

5] Ask your Company or Institution to get free Office 365 packages

Microsoft offers Office 365 for education and companies that qualified students, employees, and staff to avail the service either for free or at a very low price. The productivity tool includes Excel, Word, OneNote, Microsoft Teams and additional class management tools. To avail of the service, make sure your organization has signed up for this offer.  If your institution is already qualified for this program, simply enter your institution’s email address to get started.

6] Buy Windows Device that includes free Microsoft  Office subscriptions

Some new Windows devices include a free copy of Microsft Office subscriptions which requires no monthly fees. Purchase these devices to use the free Microsoft Office suite for a free one-year subscription. Not all devices include a free copy, and mostly the Office programs are free on lower-end devices.

Or else … you always have the option to use a free Office alternative software on your Windows PC.

Ios Privacy Concerns Deepen As Apple’s Promises On Analytics Anonymity Appear To Be False

iOS privacy concerns were raised last week when security researchers appeared to demonstrate that iPhones send the same analytics data to Apple whether you grant or decline permission.

The same researchers have now demonstrated that Apple can – despite assurances to the contrary – link this data back to individual users, as the same ID is used as that for iCloud accounts …

Background

When you first set up a new Apple device, you are asked whether or not you would like to share analytics data with Apple.

Help Apple improve its products and services by automatically sending daily diagnostic and usage data. Data may include location information.

You can agree to this or decline, but Tommy Mysk discovered that exactly the same analytics data appears to be sent to Apple whether or not you consent.

The site suggested that Mysk check out other stock Apple apps, and this revealed that the same was true of Apple Music, Apple TV, Books, and Stocks. For example, the Stocks app shared with Apple your watched stocks, as well as the names of other stocks you searched for or viewed – together with the news articles you read in the app.

A class action lawsuit has now been filed over this.

Apple promises analytics data is anonymous

Even if you agree to Apple collecting analytics data from your devices, the company promises that all data is anonymous.

None of the collected information identifies you personally. Personal data is either not logged at all, is subject to privacy preserving techniques such as differential privacy, or is removed from any reports before they’re sent to Apple.

The company goes on to indicate that it may use your Apple ID to correlate analytics data from all of the devices on which you granted consent, but again says that you cannot be identified.

If you agree to send Analytics information to Apple from multiple devices that use the same iCloud account, we may correlate some usage data about Apple apps across those devices by syncing using end-to-end encryption. We do this in a manner that does not identify you to Apple.

You can see these assurances on your iPhone:

Open the Settings app

Select Privacy & Security

Scroll all the way down to tap Analytics & Improvements

Tap About Analytics & Privacy in the opening paragraph

iOS privacy concerns deepen

However, Mysk appears to demonstrate that this assurance of anonymity is false, by capturing the data sent to Apple, and comparing it to that used to identify an iCloud user by their Apple ID.

Apple’s analytics data include an ID called “dsId”. We were able to verify that “dsId” is the “Directory Services Identifier”, an ID that uniquely identifies an iCloud account. Meaning, Apple’s analytics can personally identify you […]

The analytics data that the App Store sends to Apple always contain an ID called “dsId”. We weren’t sure if this was the same as the DSID, the ID that uniquely identifies an iCloud account. We confirm that they’re the same ID.

You can see this in the video below.

We’ve reached out to Apple and will update with any response.

9to5Mac’s Take

As the old saying has it, “Never ascribe to malice that which can be adequately explained by incompetence.” I’m pretty confident that Hanlon’s Razor applies here, and that the reason Apple’s assurances appear to be false is down to error rather than a deliberate intent to deceive. The company simply has too much to lose and too little to gain by any nefarious behavior of this kind.

However, as incompetence goes, this does seem pretty high up the scale. Privacy has become a huge part of Apple’s marketing message, so to fail to protect privacy in not one but two major ways is a very big deal.

Apple needs to fix this, and fix it fast.

Photo: Guillaume Bourdages/Unsplash

FTC: We use income earning auto affiliate links. More.

Update the detailed information about Precious Gems Analytics, Can It Be Done For Diamonds? on the Moimoishop.com website. We hope the article's content will meet your needs, and we will regularly update the information to provide you with the fastest and most accurate information. Have a great day!