Trending February 2024 # Competition: Motorola Exiting Feature Phones, 7″ Slates From Amazon, Google Loom # Suggested March 2024 # Top 5 Popular

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Several reports this morning sourced from Taiwanese supply chain indicate some pretty interesting reshuffling going on in the mobile space outside Apple. Samsung is shooting to cumulatively sell ten million Galaxy S III units by early July while Motorola Mobility is mulling exiting the feature phones business in order to focus all their energies on “innovative products”.

In the non-iPad space, a contract manufacturer has apparently landed orders for both Amazon’s seven-inch Kindle Fire tablet and Google’s Nexus-branded expected to make an appearance at Google I/O on Wednesday…

Let’s start off with Samsung.

Associated Press reports that Samsung is so confident in Galaxy S III sales that they publicly set the sales target: they expect to move more than ten million units in July. The report suggests Samsung could sell even more because “it struggles to keep up with demand because of component shortages”.

Filed as its biggest campaign to date, Samsung has reportedly set aside a marketing budget that will double in the next few months alone what the company burned on all Galaxy-branded products in the United States in 2011.

As Samsung takes aim at Apple, Google-owned Motorola Mobility will reportedly exit from the feature phone market in order to focus development efforts on “innovative products”, reports DigiTimes, citing a story by a Chinese-language Commercial Times.

Google is now officially a handset maker so it makes sense to get rid of the unprofitable business and focus on hero devices. Motorola’s Droid was key to Android’s successful launch in the U.S. and their Razr series was and still is very popular so there’s no room for doubt that Googleroola will produce some very successful Android devices in the near future.

Wondering about the top image? If Gizmodo Australia is to be believed, it’s possibly a rendering of a long-awaited Google-branded, Asus-manufactured seven-inch tablet set to launch at Google I/O, which runs from Wednesday through Friday at San Francisco’s Moscone West.

It’s said to become a Jelly Bean reference device (the upcoming Android iteration, version 4.1). Specs allegedly include a seven-inch screen running at 1280-by-800 pixels and sporting IPS technology for a 178-degree viewing angle.

It should also run Nvidia’s quad-core Tegra 3 chip, NFC for wireless payments (reportedly coming to the next iPhone as well), a 1.2-megapixel front camera and a nine-hour battery. The 8GB/16GB variants should be priced aggressively at just $199/$249, making the Nexus 7 tablet more of a Kindle Fire than iPad challenger.

Besides, contract manufacturer Quanta is said to ship three million units of the Nexus 7 tablet in 2012, which is a pretty low figure compared to the kinds of numbers we’re seeing from Samsung and Apple in the tablet space.

On the high-end, of course, the iPad gets to compete with Ultrabooks and Microsoft’s upcoming Surface tablet that some dismissed as a reference device meant to drive Windows 8 adoption. The Surface could be pricey and Microsoft’s hastily organized presser and lackluster demos clearly show nervousness.

Unfortunately, the Surface will only be sold at Microsoft’s retail stores. There are only 19 of them currently, with a new store opening in New York soon and another one planned in London in March 2012. All told, Microsoft plans to open 75 new retail stores over the next two years in an Apple-like push to better promote its products and control its brand’s message.

About one third of readers in our poll voted that Apple should definitely pay notice because the Surface has raised the water line on Microsoft’s platform functionality.

As for Amazon, it’s getting ready to launch a long-rumored seven-inch version of the Kindle Fire. Quanta, which makes the first Kindle, is expected to begin production of a smaller Kindle this month, with shipments expected to “significantly increase” in August, reports DigiTimes.

Cupertino is rumored to respond to the rise of the smaller slates by offering the so-called iPad mini that shouldn’t require you to sand your fingers down because at seven inches diagonally, its screen would still be sufficient for users to successfully hit the user interface targets, as outlined in Apple’s Human Interface Guidelines.

Summing up, I guess my question would be if Apple really needs to address the low-end of the tablet market or should the company remain comfortable in its position of the high-end player that reaps all the profits?

Also, I’m interested in hearing your thoughts on Samsung’s targets for Galaxy S III sales, especially compared to Apple. Can the S III become the first phone to outsell the iPhone?

Remember, they’re gonna promote this thing like there’s no tomorrow and sell it through around 300 mobile carriers in 147 countries by the end of July, giving it a three-month lead time over the next iPhone.

You're reading Competition: Motorola Exiting Feature Phones, 7″ Slates From Amazon, Google Loom

Amazon Ppc Challenges Google Ads

The study was conducted by Marin Software, extrapolated from billions of dollars of PPC budgets. Wes MacLaggan, SVP of Marketing at Marin Software offered this insight:

“While Google and Facebook continue to be the most prominent channels for digital ad spend, we’re now seeing more and more early adopters experimenting with Amazon’s ad offerings…”

Google Ads

Google Shopping Ads

Of the billions of dollars of ad spend researched, Google Shopping Ads represented about 27% of the Google Ad spend in US Dollars. Although it fell to 24% during the fourth quarter it regained in the following quarter, essentially staying flat.

Amazon Advertising

Amazon offers Headline Shopping Ads and Sponsored Product Ads. Headline Shopping Ads are more prominent, showing at the very top of the search results. They received a significantly higher CTR of 2.68% versus 0.49% for the Sponsored Product Ads (SPA), yet the SPA represented nearly 80% of the ad spend.

Key Differences Between Google and Amazon 1. Return on Advertising Spend

Mark said,

“Amazon searchers are typically much further along in the purchasing path, and are already in the mindset of wanting to purchase a product. Customer searches tend to be much more specific, and product focused. In Google, customers typically are still in the browsing stages, and wanting to either learn about products, or searching product categories. With customer’s search intentions differing greatly in Amazon vs. Google, it causes your PPC strategies to be much different as well.”

He then elaborated and explained that the Return On Advertising Spend (ROAS) is dramatically better on Amazon. And not just on your own brand name, but across the board on keyword phrases and competitor brand names.

The benefit of the higher ROAS is, according to Mark Jackson of Vizion Interactive:

“This allows your ability to boost incremental sales much higher than in Google.”

2. Algorithms

Amazon’s algorithm factors in things like reviews. This adds an additional layer of complexity to bidding on Amazon versus Google.

3. Ramp Up Time

3. Budget Strategies

A key feature of Amazon is that it is a de facto shopping search engine (much like YouTube is a video search engine). Because of this, consumers are lower on the sales funnel (lower is better).

This affects budget strategy because bidders on Amazon on more specific as opposed to on Google.

Mark Jackson of Vizion Interactive offered this insight:

“In Amazon, customer’s searches are much more specific, causing broader terms to be less utilized (and less expensive). This ends up having a direct effect on the size of budgets you can push in Amazon vs. Google.”

It’s exciting to see competition in PPC. Competition benefits everyone.

Read the interactive Digital Advertising Benchmark Report by Marin Software  here.

Images by Shutterstock, Modified by Author

Screenshots by Author

7 Popular Feature Selection Routines In Machine Learning

This article was published as a part of the Data Science Blogathon

Best ways for Feature Selection

The general principle in Data Science is more quality training data results in a better Machine Learning model. It is valid for the number of situations but not for the number of features. A real-world dataset consists of unnecessary features that may impact the performance of the model.

One needs to be selective in terms of features chosen for the modeling. The dataset contains a lot of independent variables where only a few are useful and others not. Selecting the best set of features from the combinations results in a polynomial approach that requires a polynomial time complexity. We will discuss seven ways to choose the best features for training a robust ML model in this post.

Domain Knowledge

A Data Scientist or ML engineer with domain knowledge about the problem would help choose the best features and set of variables for any case study. People with intuition about the data or domain knowledge helps in feature engineering and selection of best features. For example, consider the car price prediction problem, where features such as the manufacture year, model, fancy license number are unique factors for deciding the car price.

Missing Values

The real-world datasets usually consist of missing values, occurred due to failure to record or data exploitation. We have various techniques for imputation of missing values, but that does not match the real data. Hence, a model trained on features that consist of missing values may not yield better performance.

It is better to drop the columns or variables that contain missing values more than a certain threshold. We can drop the ‘cabin’ feature that has a lot of missing values. One can refer to the below image generated from titanic data.

Correlation with the Target label

Correlation between the target class label and features determines how correlated each variable with references to the target class. There are many correlation techniques such as Pearson, Spearman, Kendall, etc. used for observing correlations between two features.

df.corr() returns with the person correlation coefficient between the features. Variables such as sex, Pclass, fare are highly correlated with the target class label Survived and hence known as key features, from the below correlation heatmap of titanic data. Now features such as PassengerId, SibSp is not correlated with the target variable and may not impact our model performance. Hence these variables can be excluded.

Correlation between the Features

Correlation between variables results in collinearity, which may affect the model performance. A variable is said to be correlated with others if they have a high correlation. Hence, a change in one feature results in a variation of other correlated variables.

From the above correlation heatmap of Titanic data, the Pearson correlation coefficient between Pclass and Fare is high, so the change in one variable will negatively impact the other variable.

Principle Component Analysis (PCA)

PCA is a dimensionality reduction method used to extract features from the dataset. It reduces the dimensionality of the dataset to a lower dimension by using matrix factorization. It projects the data completely into a lower dimension preserving the variance.

We use this method to reduce the features when the dimensionality of the data is very high, and removing the redundant variables is a tedious task. This method reduces the dataset with various variables into a dataset with the desired number of features.

The below PCA plot is trained on the dataset from Ionosphere Dataset from the UCI machine learning repository

80% of the variance is preserved for 9 dimensions.

Reducing the dimensions to fifteen preserves 90% of the variance and selects the most useful features.

Forward Feature Selection

Forward or Backward feature selection helps to find a subset of the best performing features for the ML model. If there are n features for a given dataset, variables are selected based on the previous result inference.

The forward feature selection techniques follow:

Evaluate the model performance after training by using each of the n features.

Finalize the variable or set of features with better results for the model.

Repeat the first two steps until you obtain the desired number of features.

Forward Feature Selection is a wrapper method to choose the best subset of features. The backward Feature Selection technique is just the contrast of forwarding Feature selection, where initially all the variables are chosen and remove the most redundant features in each step.

Feature Importance

Feature Importance is the list of features that the model considers being important. It gives an importance score for each variable, describing the importance of that feature for the prediction. Feature Importance is an inbuilt function in the Sk-Learn implementation of many ML models.

Feature importance scores help to identify the best subset of features and training a robust model by using them.

Conclusion

Feature selection is a valuable process in the model development pipeline, as it removes unnecessary features that may impact the model performance. In this post, we looked at seven techniques to choose the best set of features from data. One can use these hacks in your data science model for better performance.

Apart from the above mentioned, there are various other hacks to remove the redundant features, like remove variables having a low variance, chi-square test.

I hope you have found this article useful and have a great day, Thank you.

The media shown in this article are not owned by Analytics Vidhya and is used at the Author’s discretion.

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Samsung’S Bypass Charging Feature: What Is It And Which Phones Have It?

Robert Triggs / Android Authority

Samsung went all in marketing the Galaxy S23 series and the gazillion features that the flagships pack in. But in their marketing push, the company did forget a good feature that many gamers would have appreciated: bypass charging! But what exactly is bypass charging, which phones have it, and why should you care about it?

What is bypass charging?

Lower heat generation: The battery is not charged when the feature is active, so the charging process will not generate heat. This will lead to better battery health in the long term as the phone spends more time in its ideal temperature ranges, and it will also give a better gaming experience as your phone will not be as hot to touch and hold.

Fewer battery cycles expended: Since power will be supplied directly to other components, it will not be simultaneously exiting and entering the battery. This means you will not be spending the finite cycles of your phone battery when the feature is active.

Lesser probability of thermal throttling: Phone SoCs have thermal throttling as a feature, allowing them to work without overheating. With charging heat not present in the equation, the probability of the SoC thermal throttling reduces, letting your phone sustain more of its peak performance.

As you can see, bypass charging as a feature is very important for battery health. If you plan on keeping your device around for a while, using this feature during heavier uses will slow down battery degradation. It is especially useful when you are continuously using your phone plugged into your phone for a long time.

Bypass charging: Use cases

Some of the common scenarios when you will find bypass charging the most useful are listed below:

Long and heavy gaming sessions: If you plan to spend a few hours playing Fortnite or Call of Duty Mobile with your friends, Bypass Charging will help your phone maintain its temperatures better without actively discharging (or charging) your device.

Using navigation: If you are on a long road trip with Google Maps running on your phone while it is being charged, you can use bypass charging to keep your phone temperature under control without completely discharging your device during the trip. Note that Samsung does not support the feature on non-game apps, so you can’t use this on Samsung phones just yet.

Docked use cases: If you plan to use desktop mode fairly frequently, you can keep your phone’s battery in good shape with bypass charging. Note that Samsung does not support the feature on non-game apps, so you can’t use this on Samsung phones just yet.

How is bypass charging different from Charging Limits? Which phones introduced bypass charging first? Which Samsung phones support bypass charging?

The latest Samsung Galaxy S23 flagships support bypass charging through the Game Launcher app. However, the company calls the feature “Pause USB Power Delivery.” Samsung is also bringing the feature to its older devices through the Game Launcher app’s v5.0.03.0 update, but it’s not immediately clear what the full list of supported devices is. Here are the devices on which the feature has been spotted:

Galaxy S23 series

Galaxy S22 series

Galaxy Z Fold 4

Galaxy Z Fold 3

Galaxy Z Fold 2

Galaxy A73 5G

Galaxy A33 5G

Galaxy Tab S8 series

How to use bypass charging on Samsung phones

Once the setting is available on your device, it will be available to toggle when you are plugged in. When you enable that feature, your phone will not accept any charge on its battery whenever the apps specified under Game Launcher are running in the foreground.

What to do if the bypass charging feature is not present?

Ensure that you are on the Game Launcher v5.0.03.0 update or above.

Ensure you connect your phone to a USB Power Delivery PPS charger with a good, compatible cable.

When the phone is charging, launch a game.

Then, open Game Launcher from the notification and navigate to the Game Booster settings.

The “Pause USB Power Delivery” setting should surface at this point.

If the feature still does not appear, you’re out of luck. We’re unsure what criterion Samsung has set for deciding which regions and devices to allow for this feature, but we’ll update this post once we hear more.

FAQs

If you’ve enabled this feature and want to know if it is working, you just have to observe the battery percentage on your device. With the feature enabled, the battery percentage on your device will not increase or decrease. Your phone will still display the charging icon, but even after “charging” for many minutes and running a game in the foreground, the battery percentage will not move.

Yes, bypass charging is a great feature to have. It can potentially increase your phone’s longevity by allowing you not to spend your finite battery cycles when you are connected to a charger.

No. Bypass charging increases the life of your phone, as the battery is not invoked when the feature is on and working.

No. Bypass charging is not a default Android feature. Only select OEMs like Sony, Asus, and Samsung have enabled it for a few of their phones.

No. Bypass charging is not available on the iPhone or any other Apple device.

No. If your phone does not ship with bypass charging, it is unlikely that you can enable the feature. However, your OEM may have added the feature but not talked about it or enabled it yet (like Samsung did), in which case, a future update may add the feature. If your phone has a battery charging limit feature, it can theoretically support bypass charging.

4 Ways To Make Loom Band Patterns Without The Loom

Choose your colors. You can make this pattern with just one color, but it looks great with 2 or 3. You’ll need about 50 bands total, so count up to make sure you have enough of each color.

Loop the first band around the tines of a fork. Hold a fork so that the handle is up and the tines are facing you. This will act as your loom. Take the first band and loop it around the outer right tine. Lift it with your finger and thumb.

This sounds tricky, but once you get the hang of it you’ll be able to do it really quickly. If you need help handling the tiny band, you can use a crochet hook to help you pull it out and twist it.

Once the band is twisted around all of the tines, push it down a bit so that the twists are in an even line. Pull on either end to adjust the band so that all the twists are the same size.

Loop a second band around the tines of the fork. Using the exact same technique, add a second band. Choose the next one in your pattern, whether it’s the same color or a different one. Loop it around the outer right tine, twist it, loop it over the next tine, twist it, loop it over the next one, twist it, then loop it over the last tine. Push it down so that it’s stacked up against the first band.

Weave the loops. Orient the fork so that the tines are pointing down. Take a look at the outer right tine of the fork: you’ll see a stack of two loops. Take the top loop (the one closer to the handle of the fork) and pull it over the bottom loop and over the tip of the fork tine. Do the same with the other tines: take the top loops and pull them over the tips of the tines.

Loop a new band around the tines. Take the next color in your pattern, loop it over the outer right tine of the fork, twist it, then loop and twist it around the remaining tines. Now you have a stack of 2 looped bands on the fork again.

Weave the loops. With the fork oriented so that the tines are pointing down, look at the outer right tine. Take the top loop (the once closer to the handle of the fork) and pull it over the bottom loop and over the tip of the tine. Do the same with the other tines: take the top loops and pull them over the tips of the tines.

Keep going until the chevron bracelet is as long as you want it. Loop the next band in your pattern around the tines, then weave the loops by taking the top loop on each tine and pull it up and over the tips of the tines. Keep adding new bands and weaving the loops until the bracelet is big enough to fit your wrist.

Finish the bracelet. Transfer the remaining loops from the fork to your finger, then hook them into a C-clip to hold them all together. Finally, pull up the first loop from the beginning of the bracelet and connect it to the other end by slipping it into the C-clip. Your bracelet is complete.

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With Motorola Sale To Lenovo, Google Is Unloading A Headache

By selling Motorola Mobility to Lenovo, Google is ending a combination that never really worked out while keeping assets that could prove valuable down the road.

More importantly, the search giant will get out of a business that never helped it compete or make money and hurt its relationships with other Android phone manufacturers, industry analysts said.

Fixing a mistake

“Google didn’t really have to buy Motorola and probably should not have bought Motorola,” said analyst Avi Greengart of Current Analysis.

Now, Google can get back to its core business.

Though simple math suggests it cost Google more than $9 billion to own Motorola for a few years and obtain most of its patents, the company did recover about $2.35 billion by selling Motorola’s set-top-box business to Arris Group in 2012. And for a company worth more than $350 billion, these aren’t exactly bet-the-farm transactions.

The 2011 acquisition raised questions about whether the vast universe of Android device makers, including Samsung Electronics and LG Electronics, would be able to compete on a level playing field with an in-house Google handset brand. Among other things, the partners were concerned Motorola would get early access to new Android innovations, analysts said. The tensions were never resolved.

Now, Google can get back to its core business, analysts said.

While owning a phone vendor made it harder for Google to work with its partners in proliferating Android, the business also continued to lose millions. Motorola was struggling in a highly competitive phone business when Google bought it and remains a distant follower behind Samsung, Apple and other well-known names. Motorola’s share of the worldwide smartphone market was just 1.3 percent in the third quarter of last year, according to Gartner.

Better for Google, better for Android

But Google didn’t buy Motorola to get into the handset business, according to analyst Jack Gold of J. Gold Associates. It wanted patents, engineers and insights into the mobile business, and got those, Gold said in a note analyzing the news. “They made an investment in the other value of Motorola and probably just hoped for the best on sales,” he said.

Motorovo

With Motorola, Lenovo will get global name recognition but not global distribution, Greengart said: Motorola’s sales are mostly concentrated in North America and Latin America.

“This gets Lenovo into the U.S. and at the table with U.S. operators.”

However, the ailing phone maker’s products are actually good, Greengart said. Motorola has found a niche with smartphones that extend pure Android without smothering it in add-on features such as a Motorola calendar or phone application, he said. Also, the company has tuned its products for a set of consumer preferences—a “just right” strategy—rather than making the biggest or fastest handsets.

The challenge has been getting that message across to consumers, and Lenovo will inherit that problem, Greengart said. Still, Lenovo has a proven track record of adopting a U.S. brand, the successful Think line of laptops that the company acquired from IBM in 2005.

But the jury is still out on whether it can succeed. “The U.S. is very competitive and it will be an uphill battle for Lenovo to gain significant share in a market dominated by Samsung and Apple,” he said.

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