Trending December 2023 # Tips And Tricks To Improve The Security Of Your Iphone # Suggested January 2024 # Top 16 Popular

You are reading the article Tips And Tricks To Improve The Security Of Your Iphone updated in December 2023 on the website Hatcungthantuong.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 January 2024 Tips And Tricks To Improve The Security Of Your Iphone

Tips and tricks to improve the security of your iPhone

In addition to that, iOS also utilizes Sand-boxing to safeguard the device. In sand-boxing, all the applications that get installed on the device initially work in isolation while the device notes the application’s behavior. If the application shows any sign of malicious behavior, the device disables the application and alerts the user about it.

However, there are some other tips and tricks that can improve the security of your iPhone which otherwise can risk your privacy and data.

Tips to Improve the Security of your iPhone:

Beware of Juice Jacking

USB Restricted Mode

Anti-Theft Applications

A check on permissions

Disable automatic connection with Wi-Fi

Avoid Jailbreak

Read about the application

1. Beware of Juice Jacking:

Not all of these ports are authentic. Sometimes these ports are used by hackers to transfer malware to your device and hack into your system.

Therefore, you should carry a ‘Data Blocker’ with you. A Data Blocker is nothing but a simple USB dongle used to connect your device to the charger. Data Blocker blocks the data pins of the charging port, only allowing it to charge the phone. Data Blockers are a very cheap solution to this rather dangerous threat.

2. USB Restricted Mode:

This feature is an attempt by Apple to save the iPhones from devices like GrayKey. Devices such as GrayKey are used by intruders to unlock the device. They work by plugging into the charging port of your device. They need a time of few hours before they can successfully break into the device. That’s how USB restricted mode protects the device from being misused by thieves and intruders.

3. Anti-Theft Applications:

Although iOS can be considered secure against malware, there is nothing iOS can do to protect your device from thieves. Theft is a constant threat to your device and the data on it. iPhones users should always keep a good Anti-Theft application installed on the device. There are a number of such applications available on the App Store.

These applications offer a whole bunch of useful features such as remotely locating the device, wiping the data on the device remotely, Trigger an alarm, etc. These features may come in handy in some situations.

4. A Check on Permissions:

Applications these days ask for tons of permissions while getting installed. Storage, Camera, Microphone, location, etc. are some crucial permissions that should be granted diligently. A user should think logically before approving such permissions.

For example, A dictionary asking for the location and microphone permission should always ring a bell to you.

5. Disable automatic connection to the Wi-Fi:

Most people ask their iPhones to remember Wi-Fi passwords of their daily places such as coffee shops and offices. It provides an opportunity for hackers to become Middlemen. When you configure your device to automatically connect to known networks, the SSID (Service Set Identifier) of the remembered connection can be used to trick your device into considering a false Access Point as the original one. This reroutes your data through the hacker’s computer which can then be misused.

6. Avoid Jailbreaking:

iOS is designed to deny permission to install third-party applications on iPhones. However, the users often want to install such third-party applications to gain some extra functionality. Therefore, users try Jailbreaking. Jailbreaking is a technique which allows users to install third-party applications. It allows them to access games and applications on iPhones which are otherwise not available on App Store.

This not only voids the warranty of your device but also makes your device vulnerable to various malware and cyber threats. These devices have been reported to be hacked and users have lost their data on multiple occasions.

7. Read about Applications:

There have been a number of cases where fake applications are reported on the App Store. These applications do not offer the right functionality but are designed to harm user’s devices and data. However, such behavior can be spotted if you take out time to read some reviews about the application on the App Store before installing a new and not so popular application. This simple practice can save your sensitive data and information from being misused.

These are some of the techniques that can help you further improve the security of your iPhone. We hope you liked these tips. Do let us know if you have any such technique that has worked for you to improve the security of your device.

Next Read

Best Ways To Strengthen Your Webcam Security

Ways to Protect Your Privacy Using Opera Browser Tools

Quick Reaction:

About the author

Sagar Kapoor

You're reading Tips And Tricks To Improve The Security Of Your Iphone

Brawl Stars Tips And Tricks: How To Fight Your Way To The Top!

Should you join the fight? Read our Brawl Stars review

In this guide, you’ll find some essential tips and tricks that will help you choose the best Brawlers for any game mode, unlock new rare and legendary characters, farm tokens and gems, and much more!

Brawl Stars: How to unlock new Brawlers

No MOBA-style game is complete without a roster of colorful characters with different abilities and classes. Thankfully, Brawl Stars delivers with 22 total Brawlers that cater to various play-styles.

10 best MOBAs and Arena Battle games for Android

Game lists

There are currently three ways to get new Brawlers, not counting the promotion that unlocks Barley by linking/setting up your Supercell ID. The first is by earning Trophies (I’ll explain how to get these and all of Brawl Stars’ other currencies later) and passing pre-set milestones on Trophy Road.

This starts at 10 Trophies when you’ll unlock Nita and ends at 3,000 Trophies which gets you Bo. The other Trophy Road Brawlers are Colt (60 Trophies), Bull (250 Trophies), Jessie (500 Trophies), Brock (1,000 Trophies), and Dynamike (2,000 Trophies).

Trophy Road guarantees new characters but you’ll only ever unlock Common Brawlers.

You can also occasionally buy new Brawlers in the Shop using Gems, Brawl Stars’ premium currency. Be sure to save your Gems and be on the lookout for timed special offers.

The final way to get new Brawlers is the one you’ll rely on the most: Brawl Boxes.

Brawl Boxes serve up random drops of Coins, Power Points, and sometimes new Brawlers.

I like how all of these Brawler profile images could be the Play Store art for a new Supercell game.

Brawl Stars: Best Brawlers and tier list

Common Brawlers

Shelly

Rare Brawlers

Poco

Super Rare Brawlers

Ricochet

Epic Brawlers

Piper

Mythic Brawlers

Tara

Legendary Brawlers

Spike

Remember, you don’t need to upgrade every Brawler in the game. You can save Coins and spend them on your favorites first.

Brawl Stars: How to upgrade Brawlers and unlock Star Powers

Another reason why there isn’t exactly a best Brawler in Brawl Stars is that you can power up each hero to boost their stats, giving them more health, attack damage, and Super damage.

First off, ignore each Brawler’s rank completely as this only relates to your overall Trophy haul — not their stats. Instead, keep an eye on each Brawler’s Power Points meter. Once this is full you can spend Coins to upgrade a Brawler’s overall Power Level. Just note that Power Points are specific to each character, so you can’t use El Primo’s Points to level up POCO, for example.

Once you hit Power Level 9, you’ll be able to unlock that Brawler’s Star Power, which is a permanent passive buff that’s unique to that character. You’ll have to get lucky to get the Star Power though, as these are random drops from Brawl Boxes.

If you can find a decent duos partner, Showdown is a great way to farm Trophies.

Brawl Stars: How to get Gems, Coins, Tokens, Star Tokens, Trophies, and Power Points

Coins are available in Brawl Boxes and Coin packs in the Shop (in-app purchase).

Gems: Used to buy exclusive skins, other shop items, or Brawl Boxes

Gems are available in Brawl Boxes and Gem packs in the Shop (in-app purchase).

Tokens: Used to obtain a Brawl Box for every 100 Tokens

Tokens are gained by raising your Experience level and increased Brawlers ranks. You’ll also get 20 Tokens for every game you play up to five times. This resets in increments of 20 every three hours. Token Doublers are also available from the Shop and in Brawl Boxes.

Star Tokens: Used to get a Big Box for every 10 Star Tokens

Found in Brawl Boxes and by completing Events. The latter will reset for each game mode about once per day.

Trophies: Used to rank up Brawlers and unlock rewards on Trophy Road

You’ll get Trophies by winning games. You’ll also lose a nominal number of trophies (usually just one) if you’re defeated.

Experience: Used to obtain Tokens with each Experience level

Gain Experience by playing games and getting star player awards.

Power Points: Used to upgrade Brawler stats

Power Points drop in Brawl Boxes and are often available to buy with Coins in the Shop once per day.

Event Tickets: Used to play Ticket Events. The more Tickets you bet, the higher the rewards (if you win).

Event Tickets can be obtained on Trophy Road or in Brawl Boxes.

Team balance is important, but only at really high levels of play.

Brawl Stars: Gameplay tips and game modes

So far we’ve looked at how Brawl Stars’ general set-up, but that’s not going to help you in the thick of a fight. Here are a few tips and tricks to help you win and master each game mode.

The yellow circle around El Primo indicates he’s stored a Super.

Know your game modes!

Know your Brawlers!

Colt’s Super can be lethal but will often miss if you rely on auto aim.

Auto aim and tracking Tap to move

Brawl Stars is controlled using two virtual sticks as standard, but you can switch this in the settings to a tap to move scheme. Give both a try and see which one suits you better.

Attack as a team

Solo Showdown aside, Brawl Stars is a team game and running in alone will almost always end in disaster. Attacking in numbers and picking off those out of cover is the name of the game. If you can, team up with friends or use the game’s Club system to join forces with other players online. Set up voice chat on Discord or a similar app so you can communicate and share strategies in the heat of battle.

Hiding is a legitimate strategy when you’ve got ten Gems and there are seconds to go.

Run away! Watch those circles

Each Brawler will have a circle around them during each game with the friendly team in blue and the enemy team in red. When another circle appears around a Brawler this means they have a Super ready to go.

Keep an eye on which of your foes (and allies) have Supers to burn to avoid an untimely death.

4 Proven Tricks To Improve Your Deep Learning Model’s Performance

Overview

Deep learning is a vast field but there are a few common challenges most of us face when building models

Here, we talk about 4 such challenges and tricks to improve your deep learning model’s performance

This is a hands-on code-focused article so get your Python IDE ready and improve your deep learning model!

Introduction

I’ve spent the majority of the last two years working almost exclusively in the deep learning space. It’s been quite an experience – worked on multiple projects including image and video data related ones.

Before that, I was on the fringes – I skirted around deep learning concepts like object detection and face recognition – but didn’t take a deep dive until late 2023. I’ve come across a variety of challenges during this time. And I want to talk about four very common ones that most deep learning practitioners and enthusiasts face in their journey.

If you’ve worked in a deep learning project before, you’ll be able to relate with all of these obstacles we’ll soon see. And here’s the good news – overcoming them is not as difficult as you might think!

We’ll take a very hands-on approach in this article. First, we’ll establish the four common challenges I mentioned above. Then we’ll dive straight into the Python code and learn key tips and tricks to combat and overcome these challenges. There’s a lot to unpack here so let’s get the ball rolling!

You should definitely check out the below popular course if you’re new to deep learning:

Table of Contents

Common Challenges with Deep Learning Models

Brief Overview of the Vehicle Classification Case Study

Understanding Each Challenge and How to Overcome it to Improve your Deep Learning Model’s Performance

Case Study: Improving the Performance of our Vehicle Classification Model

Common Challenges with Deep Learning Models

Deep Learning models usually perform really well on most kinds of data. And when it comes to image data, deep learning models, especially convolutional neural networks (CNNs), outperform almost all other models.

My usual approach is to use a CNN model whenever I encounter an image related project, like an image classification one.

This approach works well but there are cases when CNN or other deep learning models fail to perform. I have encountered it a couple of times. My data was good, the architecture of the model was also properly defined, the loss function and optimizers were also set correctly but my model kept falling short of what I expected.

And this is a common challenge that most of us face while working with deep learning models.

As I mentioned above, I will be covering four such challenges:

Paucity of Data available for training

Overfitting

Underfitting

High training time

Before diving deeper and understanding these challenges, let’s quickly look at the case study which we’ll solve in this article.

Brief Overview of the Vehicle Classification Case Study

This article is part of the PyTorch for beginners series I’ve been writing about. You can check out the previous three articles here (we’ll be referencing a few things from there):

We’ll be picking up the case study which we saw in the previous article. The aim here is to classify the images of vehicles as emergency or non-emergency.

Let’s first quickly build a CNN model which we will use as a benchmark. We will also try to improve the performance of this model. The steps are pretty straightforward and we have already seen them a couple of times in the previous articles.

Hence, I will not be diving deep into each step here. Instead, we will focus on the code and you can always check out this in more detail in the previous articles which I’ve linked above. You can get the dataset from here.

Here is the complete code to build a CNN model for our vehicle classification project.

Importing the libraries

View the code on Gist.

Loading the dataset

View the code on Gist.

Creating the training and validation set Converting images to torch format

View the code on Gist.

Defining the model architecture

View the code on Gist.

Defining model parameters

View the code on Gist.

Training the model Predictions on the training set Prediction on the validation set

This is our CNN model. The training accuracy is around 88% and the validation accuracy is close to 70%.

We will try to improve the performance of this model. But before we get into that, let’s spend some time understanding the different challenges which might be the reason behind this low performance.

Deep Learning Challenge #1: Paucity of Data Available for Training our Model

Deep learning models usually require a lot of data for training. In general, the more the data, the better will be the performance of the model. The problem with a lack of data is that our deep learning model might not learn the pattern or function from the data and hence it might not give a good performance on unseen data.

If you look at the case study of vehicle classification, we only have around 1650 images and hence the model was unable to perform well on the validation set. The challenge of less data is very common while working with computer vision and deep learning models.

And as you can imagine, gathering data manually is a tedious and time taking task. So, instead of spending days to collect data, we can make use of data augmentation techniques.

Data augmentation is the process of generating new data or increasing the data for training the model without actually collecting new data.

There are multiple data augmentation techniques for image data and you can refer to this article which explains these techniques explicitly. Some of the commonly used augmentation techniques are rotation, shear, flip, etc.

It is a very vast topic and hence I have decided to dedicate a complete article to it. My plan is to cover these techniques along with their implementation in PyTorch in my next article.

Deep Learning Challenge #2: Model Overfitting

I’m sure you’ve heard of overfitting before. It’s one of the most common challenges (and mistakes) aspiring data scientists make when they’re new to machine learning. But this issue actually transcends fields – it applies to deep learning as well.

A model is said to overfit when it performs really well on the training set but the performance drops on the validation set (or unseen data).

For example, let’s say we have a training and a validation set. We train the model using the training data and check its performance on both the training and validation sets (evaluation metric is accuracy). The training accuracy comes out to be 95% whereas the validation accuracy is 62%. Sounds familiar?

Since the validation accuracy is way less than the training accuracy, we can infer that the model is overfitting. The below illustration will give you a better understanding of what overfitting is:

The portion marked in blue in the above image is the overfitting model since training error is very less and the test error is very high. The reason for overfitting is that the model is learning even the unnecessary information from the training data and hence it performs really well on the training set.

But when new data is introduced, it fails to perform. We can introduce dropout to the model’s architecture to overcome this problem of overfitting.

Using dropout, we randomly switch off some of the neurons of the neural network. Let’s say we add a dropout of 0.5 to a layer which originally had 20 neurons. So, 10 neurons out of these 20 will be removed and we end up with a less complex architecture.

Hence, the model will not learn complex patterns and we can avoid overfitting. If you wish to learn more about dropouts, feel free to go through this article. Let’s now add a dropout layer to our architecture and check its performance.

Model Architecture

View the code on Gist.

Here, I have added a dropout layer in each convolutional block. The default value is 0.5 which means that half of the neurons will be randomly switched off. This is a hyperparameter and you can pick any value between 0 and 1.

Next, we will define the parameters of the model like the loss function, optimizer, and learning rate.

Model Parameters

Here, you can see that the default value of p in dropout is 0.5. Finally, let’s train the model after adding the dropout layer:

Training the model

Let’s now check the training and validation accuracy using this trained model.

Checking model performance

View the code on Gist.

Similarly, let’s check the validation accuracy:

Let’s compare this with the previous results:

Training Accuracy Validation Accuracy

Without Dropout 87.80 69.72

With Dropout (p=0.5) 73.56 70.29

The table above represents the accuracy without and with dropout. If you look at the training and validation accuracy of the model without dropout, they are not in sync. Training accuracy is too high whereas the validation accuracy is less. Hence, this was a possible case of overfitting.

When we introduced dropout, both the training and validation accuracies came in sync. Hence, if your model is overfitting, you can try to add dropout layers to it and reduce the complexity of the model.

The amount of dropout to be added is a hyperparameter and you can play around with that value. Let’s now look at another challenge.

Deep Learning Challenge #3: Model Underfitting

Deep learning models can underfit as well, as unlikely as it sounds.

Underfitting is when the model is not able to learn the patterns from the training data itself and hence the performance on the training set is low.

This might be due to multiple reasons, such as not enough data to train, architecture is too simple, the model is trained for less number of epochs, etc.

To overcome underfitting, you can try the below solutions:

Increase the training data

Make a complex model

Increase the training epochs

For our problem, underfitting is not an issue and hence we will move forward to the next method for improving a deep learning model’s performance.

Deep Learning Challenge #4: Training Time is too High

There are cases when you might find that your neural network is taking a lot of time to converge. The main reason behind this is the change in the distribution of inputs to the layers of the neural network.

During the training process, the weights of each layer of the neural network change, and hence the activations also change. Now, these activations are the inputs for the next layer and hence the distribution changes with each successive iteration.

Due to this change in distribution, each layer has to adapt to the changing inputs – that’s why the training time increases.

To overcome this problem, we can apply batch normalization wherein we normalize the activations of hidden layers and try to make the same distribution.

You can read more about batch normalization in this article.

Let’s now add batchnorm layers to the architecture and check how it performs for the vehicle classification problem:

View the code on Gist.

Defining model parameters

Let’s now train the model:

Clearly, the model is able to learn very quickly. We got a training loss of 0.3386 in the 5th epoch itself, whereas the training loss after the 25th epoch was 0.3851 (when we did not use batch normalization).

So, the introduction of batch normalization has definitely reduced the training time. Let’s check the performance on the training and validation sets:

Adding batch normalization reduced the training time but we have an issue here. Can you figure out what it is? The model is now overfitting since we got an accuracy of 91% on training and 63% on the validation set. Remember – we did not add the dropout layer in the latest model.

These are some of the tricks we can use to improve the performance of our deep learning model. Let’s now combine all the techniques that we have learned so far.

Case Study: Improving the Performance of the Vehicle Classification Model

We have seen how dropout and batch normalization help to reduce overfitting and quicken the training process. It’s finally time to combine all these techniques together and build a model.

View the code on Gist.

Now, we will define the parameters for the model:

Finally, let’s train our model:

Next, let’s check the performance of the model:

The validation accuracy has clearly improved to 73%. Awesome!

End Notes

In this article, we looked at different challenges that we can face when using deep learning models like CNNs. We also learned the solutions to all these challenges and finally, we built a model using these solutions.

The accuracy of the model on the validation set improved after we added these techniques to the model. There is always scope for improvement and here are some of the things that you can try out:

Tune the dropout rate

Add or reduce the number of convolutional layers

Add or reduce the number of dense layers

Tune the number of neurons in hidden layers, etc.

Photoshop Crop Tool Tips And Tricks

Learn the essential tips and tricks you can use with the Crop Tool to speed up your workflow when cropping images in Photoshop!

Written by Steve Patterson.

You’ll learn time-saving keyboard shortcuts, a few ways to customize the Crop Tool, and even how to use the Crop Tool to quickly add a border around your image! If you’re new to Photoshop and not sure how to crop images, be sure to check out my previous tutorial where I cover the basics.

I’ll be using Photoshop CC but everything here is fully compatible with Photoshop CS6.

Here’s the image I’ll be using from Adobe Stock:

The original image. Photo credit: Adobe Stock.

Let’s get started!

The Crop Tool keyboard shortcuts

Let’s start with the Crop Tool’s keyboard shortcuts.

How to select the Crop Tool

To select the Crop Tool, rather than grabbing it from the Toolbar, just tap the letter C on your keyboard.

Press “C” to select the Crop Tool.

How to lock the aspect ratio of the crop border

As you’re resizing the crop border, you can lock the aspect ratio by holding down your Shift key as you drag a corner handle.

Shift + drag a corner handle to lock the aspect ratio.

How to resize the crop border from its center

To resize the border from its center, press and hold the Alt (Win) / Option (Mac) key while dragging a handle.

Alt (Win) / Option (Mac) + drag a handle to resize the border from its center.

How to lock the aspect ratio and resize from center

And to both lock the aspect ratio and resize the border from its center, hold Shift+Alt (Win) / Shift+Option (Mac) and drag one of the corners.

Shift + Alt (Win) / Option (Mac) + drag a corner handle to lock the aspect ratio and resize from center.

How to swap the orientation of the crop border

To swap the orientation of the crop border between portrait and landscape, press the letter X.

Tap “X” to swap the orientation.

Show or hide the cropped area

If you want to hide the area outside the crop border to get a better sense of what the cropped version will look like, press H.

Press “H” to hide the area outside the crop border.

Then press H again to bring the cropped area back.

Press “H” again to show the cropped area.

How to move the crop border, not the image

Press “P” to toggle Classic Mode on and off.

Temporarily select the Straighten Tool

If you need to straighten your image, you can temporarily access the Straighten Tool by pressing and holding your Ctrl (Win) / Command (Mac) key while the Crop Tool is active.

Hold Ctrl (Win) / Command (Mac) to temporarily access the Straighten Tool.

Drag across something that should be straight, either vertically or horizontally, and then release your mouse button to rotate the image.

Dragging across the horizon line with the Straighten Tool.

Once you’ve straightened the image, release the Ctrl (Win) / Command (Mac) key to switch back to the Crop Tool.

Release Ctrl (Win) / Command (Mac) to return to the Crop Tool.

Cancel the crop

To cancel the crop, press the Esc key on your keyboard.

Cancel the crop to return to the original image.

Cycle through the crop overlays

Let’s look at a couple of tips to use with the crop overlay that appears inside the border. By default, Photoshop displays the Rule of Thirds overlay, which can help with our composition.

The Rule of Thirds overlay appears by default.

You’ll see that there are other overlays we can choose from:

Photoshop includes 6 different crop overlays.

To quickly cycle through them from your keyboard, press the letter O.

Tap “O” to cycle through the crop overlays.

Showing and hiding the crop overlay

You’ll find a couple of other options to choose from. If you choose Auto Show Overlay, then Photoshop will only display the overlay while you’re actually resizing the border, which makes it easier to see your image. And choosing Never Show Overlay prevents the overlay from appearing at all. To switch back to the default mode, choose Always Show Overlay from the list:

The overlay display options.

Crop the image

Press Enter (Win) / Return (Mac) to commit the crop.

Undo the crop

And if you need to undo the crop, press Ctrl+Z (Win) / Command+Z (Mac).

Press Ctrl+Z (Win) / Command+Z (Mac) to undo the crop.

How to add more canvas space with the Crop Tool

Finally, the Crop Tool isn’t just for cropping images. It can also be used to add more canvas space around the image, giving us an easy way to add a border.

If we look in the Layers panel, we see my image sitting on the Background layer:

The Layers panel.

Step 1: Duplicate the Background layer

To keep the border separate from the image, it’s a good idea to duplicate the image first. To do that from your keyboard, press Ctrl+J (Win) / Command+J (Mac). A copy of the image appears above the original:

Press Ctrl+J (Win) / Command+J (Mac) to duplicate the image.

Step 2: Set your background color

Photoshop will fill the new canvas space with your current Background color, which by default is white:

The Background color swatch in the Toolbar.

Step 3: Select the Crop Tool

Select the Crop Tool, either from the Toolbar or by pressing the letter C:

Press “C” to select the Crop Tool.

Step 4: Turn on “Delete Cropped Pixels”

And in the Options Bar, make sure that the Delete Cropped Pixels option is turned on:

Make sure “Delete Cropped Pixels” is checked.

Step 5: Drag the crop handles away from the image

Then drag the handles away from the image to add more canvas space. Hold Alt (Win) / Option (Mac) as you drag to resize the canvas from its center. As you do, you’ll see Photoshop filling the extra space with your Background color:

Drag the crop handles to add more canvas space around the image.

Step 6: Crop the image

To accept it, press Enter (Win) / Return (Mac):

The Crop Tool makes it easy to add a border around your image.

And there we have it! That’s some tips and tricks you can use when cropping images with the Crop Tool in Photoshop! In the next lesson, I show you how to use Photoshop’s Perspective Crop Tool to both crop images and fix common perspective problems at the same time!

You can jump to any of the other lessons in this Cropping Images in Photoshop series. Or visit our Photoshop Basics section for more topics!

What Are The Tips And Tricks To Starting A Youtube Channel

The YouTube platform is booming day by day, a new content creator has a tremendous opportunity to build a successful YouTube channel from scratch. Before you dive into the ocean of video content, there are some things that you need to think about to maximize your chances of success.

The purpose of Starting a Channel

One of the most important YouTube tips for beginners is to know the purpose of starting the channel. It’s a passion, promoting the business or trying to make a YouTube channel as a business. Defining a purpose will help to make content.

The purpose is the basis for three key elements: topic coverage, target audience, and reason for existence.

WHAT the videos will be about.

For WHOM videos are made.

WHY they should watch videos.

Define these things before launching the channel.

Decide on a production schedule. Be realistic, honest, and think long-term 2. What are the Tips and Tricks to starting a YouTube channel

Changing up the frequency later could tick off the viewership. Even missing one day, week, or month could anger fans. The more this happens, the more likely they will unsubscribe. When you have, opt for lesser frequency.

Check the frequency of YouTube channel Nas Daily.

YouTube Success: Substance and Style

The true key to success is “substance AND style.” YouTube viewers judge based on the styling of the channel besides the content.

A successful YouTube channel needs these styling −

Smart titles

Consistent format

Video thumbnails

Smart Profile picture

Icon of a famous YouTube channel.

Attractive thumbnails of various channels.

Create a banner and icon

The YouTube channel banner is the first thing viewers and possible subscribers see.

An effective banner lets the viewer know where they are, and compels the viewer to stay and check videos.

A channel icon is like a logo of the channel. It should match the brand and complement the channel banner.

Banner and icon of Nas Daily.

Know the niche

Focused content is important. Try to find your niche and stick to it. Discover the area to speak about. Audiences are more likely to trust and engage with content creators who hold authority and proficiency in their area.

Create a channel trailer

When someone visits the channel for the first time, a channel trailer is a way for them to get a sneak peek at the content.

Assuming them to be perfect strangers, introduce and tell them exactly why they should subscribe. Keep it short, sweet and snappy and let them know what content they will see.

Good channel trailer of Yoga channel.

Just start recording and upload

“Practice makes perfect” is right but not true in this case. Watch enough professional YouTubers and just record. Start making videos as soon as possible. Learning how to start a YouTube channel as a beginner largely means pick th camera and start shooting.

Don’t forget SEO

YouTube is not only a video platform but a search engine for videos. It’s important to familiarize SEO best practices for YouTube videos

Start putting targeted keywords in the name of the video file, title, and description. Try to put targeted keywords in the channel’s brand name. Add keywords in tags and hashtags.

Don’t forget competitor research.

Analyse YouTube analytics

Data is the key to understanding whether videos are performing or not. YouTube analytics will provide several key points of data, including views, location of viewers, subscribers number and more. So, study analytics deeply for success.

Don’t worry too much about your camera

Purchasing the best camera should not be your top priority. Smartphones will do the job initially. Instead of getting a new camera right away, getting tools that make it easier to shoot with the phone is wise. Eventually, upgrade to camera later in the journey.

Do worry about audio

What needs to be heard is heard. The best way to do this is by having a strong microphone. Purchase a good microphone before a good camera.

Necessary equipment’s

Buy Some essential equipment for creating high-quality videos like −

Camera − a high-quality webcam or smartphone is good to start.

Tripod − You want a tripod to hold the video capturing device and keep it steady.

Microphone − The built-in microphones are often terrible. Purchase an external microphone and record the audio separately, mix it with the video afterwards.

Green Screen − A green screen is necessary to change the background in videos.

Screen Capture Software − necessary if videos involve screen capturing, like software video tutorials or PC gameplay.

Promotions

Cross-promote YouTube channels across other networks to help maximize success. Start promoting videos on social networks like Instagram, Facebook, or website, and partner up with other YouTubers to increase Viewers. Use end screens effectively to keep viewers around and make sure they don’t leave without subscribing to the channel. One can add other videos, a subscribe button, or a link to another channel to keep viewers engaged.

Bright side a famous YouTube channel video’s end screen.

Conclusion

These are some of the key things that need to be known to become a successful YouTube channel creator. Use these tips to set up the channel, optimize it to get videos ranked, and gain more subscribers. These are especially helpful if one is new to YouTube and starting fresh.

Credit Card Tips And Tricks: How To Save Money

With so many perks and incentives available, it’s understandable why individuals would be sucked into spending and using their cards for purposes other than what they were meant for. This may be harmful to both your finances and the business as a whole. In a society where people are clamoring for freebies, giving away profits frequently results in worse company practices. The suggestions in the following article will help you save money and keep your credit card balance within acceptable limits.

What is A Credit Card?

Using a credit card is a means to obtain “credit” or a loan from a bank. The revolving line of credit is the official term. It’s a credit card with a predefined borrowing limit that you may access at any time. The credit limit is determined at the time of application. If your credit card is approved, you can use it to make purchases online or in person without having to pay with cash.

Your balance increases each time you use a credit card to make a purchase. The money above your minimum payment, if you don’t pay off your debt in full each month, goes towards interest and fees. This might make it challenging to pay the whole sum each month and difficult to buy products on time.

You might wish to apply for a personal loan instead if you believe that using a credit card is not for you but you want additional dollars for an emergency. You have a variety of online loan options to choose from, some of which have interest rates that are significantly lower than those on credit cards.

How do Credit Cards Work? Interest Rates

The appropriate interest rate will be disclosed to you when you apply for a credit card. You must pay this annual fee on any unpaid balance that is not settled by the due date, regardless of how much it is. You’ll pay a different amount in interest each month. The amount you spend, the amount you repay, and the timing of the repayment all affect it. For instance, if the interest rate is 18% per year and your amount is $100, you will be charged 18% per year of $100, or around $1.50 per month.