Trending March 2024 # Roundup! The Top 10 (Mostly) Free Resources For Learning Android App Development # Suggested April 2024 # Top 10 Popular

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The first and the most up-to-date source you have access to is Android’s very own website. chúng tôi is one of the best places for all Android related resources on the web. One of the lesser known features that it includes is a full how-to with exercises on Android app development. These cover setting up and installing your developer environment all the way through implementing Google Cloud Messaging in your app and beyond. This site contains an incredibly vast supply of information and it is fortunate that the Android team has taken the time to go into such detail at the beginner level in addition to some of the more experienced developer content.  The link above will start you at the beginning, but you will likely do good to make yourself familiar with the API Guides, Reference and Samples sections to get the most out of what Google has to offer here.

Java

While you are certainly welcomed to dive head first into Android development, a preliminary scan of the materials above might have clued you in to the need for a little background knowledge. Android uses Java. At this site, Oracle (the company that owns Java) provides a good introduction to the basics of the Java language. It’s not a bad place to start if you are reading this and asking yourself, “What is Java?”. This is also where you need to head if you’re going to download the Java JDK to get started.

Codecademy has been around for a little while now. It is another site that, while not specifically geared towards Android itself, is a great place for the novice to acclimate themselves with computer code. Codecademy has many great hands-on tutorials of popular programming languages such as Python, Java Script and HTML which can help get you familiar with a lot of the terms and concepts used throughout computer programming. While you won’t come away with a working Android application here, you’re still going to learn something that will come in handy.

Envatotuts+

Formerly Mobiletuts+, Envatotuts+ is another free resource that is based around written tutorials. There are a huge selection of courses on offer here which range from general overviews, to more specific tasks like handling intents and acquiring device sensor data. There’s even a short course on developing for Google Cardboard! There are also a good number of general Java tutorials, with some being geared specifically towards Android development! This is especially useful if you are someone who finds themselves asking “How does this pertain to me and what I want to do?” as you master some of the foundational programming materials.

Moving to something that is not entirely free, Treehouse is a whimsical combination of traditional e-learning and Sesame Street. This is not an exaggerated analysis as there really are talking puppets involved. Nevertheless, there is a wealth of information offered within this alternative learning experience. Treehouse offers a fully interactive experience for learning software development and gets about as close as you can to having your hand held throughout the entire process. Sections are filled with videos and interactive code challenges with plenty of quizzes and additional reading material to reinforce your learning along the way.

Treehouse is a whimsical combination of traditional e-learning and Sesame Street.

The site offers different learning tracks for many of the more common and popular programming languages, including tracks for Android and iOS development which will walk you through creating apps. As mentioned previously, the service is mostly free. You are able to access all of the video and printed tutorial content without signing up, but the code challenges, quizzes and the ability to download videos will require a monthly or yearly subscription. You’re looking at $25 or $49 per month for the Basic and Pro packages respectively. While we all love free, Treehouse manages to offer a more traditional learning experience for a fraction of the cost of a brick and mortar institution. You still won’t get a fancy piece of paper at the end, but you might just have an app to show for it.

Udemy Coursera

One more resource that is not entirely Android specific but is becoming a pioneer in free online education is Coursera. Coursera is unique in that its courses are taught by real college professors from real universities across the country. Founded by educators out of Stanford University, Coursera manages to offer real college classes online for free. Courses featured on the site consist of the same material taught by the same professors found at their respective universities. Classes have beginning and end dates, but can be started at any time while the course is being offered. Classes consist of recorded lectures, interactive knowledge checks, tests, quizzes and even homework! Students also receive a certificate of completion at the end. There is plenty offered here in the way of computer programming and technology related learning, but if you happen to feel like brushing up on your art history it is there as well. Perspective mobile developers will likely find something more specific to their needs.

The Android Developers YouTube account is equally chock full of information. Here you get access to what feels like the entire Android team through videos on topics ranging from app design to marketing and visibility in Google Play. Learn from the pros as they offer live hangouts and discussions on implementing new features, best practices and even game development.  As you go through the process of learning to develop for Android, this site can provide valuable perspective and help to refine your knowledge so you can get your app right the first time. Of course YouTube is generally a great resource for tutorials, howtos and lessons from the community as well. If you want to quickly learn to do something specific, or find a step-by-step tutorial for creating a video game/social app/whatever else, then searching on YouTube is often a good option.

School

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Top 10 Programming Languages For Ai Development In 2023

The article enlists the top 10 programming languages for AI development to learn in 2023 Java

Java by Oracle is one of the top programming languages for AI development available out there. This language has evolved to reflect the most recent scientific and technical developments. In AI, the same is true. You may construct some scalable AI applications by using Java. Java makes complex projects simpler and is easy to use and debug for AI development. By using images to depict the data, you may improve user involvement. The developers may create a single version of a program that can run on several Java-based platforms thanks to Java’s Virtual Machine Technology.

JavaScript

Just like Java, JavaScript is also an ideal match for AI development. However, it is utilized to create websites that are more dynamic and secure. JavaScript is for those who don’t mind coding, whereas Python is good for those who don’t. JavaScript’s AI features enable seamless interaction and operation with other source codes, including HTML and CSS. Like Java, JavaScript has a sizable developer community that aids in development. AI programming is made easier by libraries like jQuery, chúng tôi and Underscore.js.

Python

Python, the computer language with the least amount of code among the others, is another on the list. We require Python developers from India to assist in the development of AI for a variety of reasons. First of all, it comes with prebuilt libraries for sophisticated computing, like Numpy, Scipy, and Pybrain. Developers from all over the world promote it because it is an open-source language. You can get assistance from a variety of Python forums and tutorials. Therefore, Python is considered among the top programming languages for AI development.

Prolog

Prolog is short for Programming in Logic. The language was developed in 1972 in a rule-like form. It is primarily employed in projects involving computational linguistics and artificial intelligence. Prolog is the greatest choice for tasks that call for a database, natural language processing, and symbolic reasoning! When it comes to artificial intelligence research, it is the ideal language assistance.

Scala

Scala makes code quick, simple, and significantly more efficient. The Scaladex index, which contains Scala libraries and resources, aids developers in producing high-quality applications. It supports the Java Virtual Machine (JVM) environment and aids software developers in creating intelligent applications. Scala has various capabilities including pattern matching, fast functions, browser tools, and customizable interfaces. It is compatible with Java and JS. Scala is one of the greatest solutions for developing AI, and it has impressed developers in that field

LISP

LISP was used to express classic AI programs like ELIZA, an early natural language processing computer program. The LISP programming language, which is the second-oldest after Fortran, is still helpful for machine learning-intensive projects because of its versatility, speedy prototyping capabilities, automatic garbage collection, ability to create dynamic objects, and support for symbolic expressions. Programming for artificial intelligence is made easier by LISP’s capacity to handle symbolic data, and it performs particularly well in situations where symbols and symbolic expressions are used in the computation. The main approach for dealing with issues that call for logical reasoning and knowledge representation is symbolic AI.

Haskell

Haskell is another excellent programming language you might attempt for developing AI, despite its limited support. It has characteristics of pure functionality and abstraction, which gives the language a lot of flexibility. The growth of AI could be slowed down by the absence of assistance, though. The developers benefit from Haskell’s code reuse capabilities as well as its type system and memory management.

Rust

High-performance, quick, and secure software development are what everyone wants, and Rust makes it possible. Developers adore using it as a general-purpose programming language for the creation of AI. Rust’s syntax is comparable to C++’s, but Rust also provides memory safety and forgoes garbage collection. Many well-known systems, like Dropbox, Yelp, Firefox, Azure, Polkadot, Cloudflare, npm, Discord, etc., use Rust as their backend programming language. Rust is the ideal language for developing AI and using it in scientific computing because of its memory safety, speed, and ease of expression.

Julia

This dynamic programming language is designed to excel at numerical analysis and computational science. Developed by MIT in 2012, Julia is a relatively new language—but its popularity is on the rise thanks in part to its speed, powerful computational capacity, and script-like syntax. A growing community of support has emerged around the language alongside an expanding number of machine learning libraries like TensorFlow. Jl, and chúng tôi chúng tôi Flux, and more.

R

Top 10 Machine Learning Algorithms For Beginners

It’s never too late to start off with machine learning basics

There’s no denying that the area of machine learning or artificial intelligence has grown in prominence in recent years. Machine learning is very effective for making predictions or calculating suggestions based on vast quantities of data, which is the trendiest topic in the tech sector right now. In this article, we will discuss the top 10 ML algorithms for newbies.  

What are machine learning algorithms?

Any other algorithm in computer programming can be connected to a machine learning method. An ML algorithm is a data-driven process for developing a production-ready ML model. If you consider ML as a train that will get you to your destination, then ML algorithms are the engines that will get you there. The sort of ML algorithm that works best is determined by the business challenge at hand, the dataset’s structure, and the available resources.  

Types of Machine Learning Algorithms

Supervised ML Algorithms

Unsupervised ML Algorithms

Reinforcement ML Algorithms

Best ML Algorithms Decision Tree

The decision tree is a decision-making aid that employs a tree-like graph or model of options, as well as their potential consequences, such as chance-event results, resource costs, and execution. Decision trees are the top pick for categorizing both categorical and continuous dependent variables since they are supervised learning algorithms. The population is divided into two or more homogenous datasets using the most significant features or independent variables in this technique.  

Principal Component Analysis

When data contains several dimensions, dimension reduction methods are among the most essential algorithms in ML. Consider a dataset with “n” dimensions, such as a data profession list that works with financial data with features such as credit score, personal information, staff compensation, and so on. He or she may now utilize the dimensionality reduction approach to identify the relevant labels for creating the needed model, and PCA is the ideal algorithm for decreasing dimensions.  

Deep Learning Algorithms

Deep learning algorithms are based on the neurological system of a person and are usually built on neural networks that have a lot of computing power. To execute certain tasks, all of these algorithms employ various forms of neural networks.  

Naive Bayes Classifier

The occurrence of a selected feature in a class is unrelated to the appearance of any other feature, according to a Naive Bayes classifier. Even though one attribute is connected to the others, it considers all of them independent when computing the likelihood of a specific result. There are two sorts of probability in the model:

Probability of each class

Conditional Probability

Both probabilities may be computed directly from training data, and the probability model can then be used to forecast fresh data using the Bayes Theorem.  

Ordinary Least Square Regression

The least-square is the technique for doing linear regression in statistics. The traditional least-squares approach is to draw a clear line between an independent variable and a dependent variable, then compute the vertical distance between the spot and the line for each data set, and add them up.  

Linear Regression

Linear regression describes the effect on the dependent variable when the independent variable is changed; as a result, the independent variable is referred to as the explained variable, and the dependent variable is referred to as the factor of interest. It depicts the relationship between an independent and a dependent variable, as well as predictions and estimates in continuous values. It may be used, for example, in the insurance industry to assess risk and determine the number of applications for users of various ages.  

Logistic Regression

A useful statistical method for modeling a binomial output including one or more explanatory factors is logistic regression. It calculates the relationship between the categorical dependent variable and one or even more independent variables by using a logistic function to measure probabilities. The logistic regression algorithm works with discrete data and is ideally suited to classification models, where an event is categorized as 1 if it happens successfully and 0 if it does not. As a result, the likelihood of a given event occurring is calculated using the specified predictor factors.  

Support Vector Machines

In SVM, a hyperplane is used to correctly divide the data points throughout the input variable space by their corresponding class, which is either 0 or 1. Essentially, the SVM method calculates the coefficients that result in a reasonable separation of the different classes through the hyperplane, with the margin referring to the distance between the hyperplane and the nearest data points. The line with the biggest margin, on the other hand, is the best hyperplane for separating the two classes.  

Clustering Algorithms

Clustering is a data analysis method of finding meaningful data patterns, such as groupings of consumers based on their behavior or geography, because it is an unsupervised learning issue. Clustering algorithms relate to the job of grouping an assemblage of items in such a manner that each entity in the same group is more similar to each other than those in different groups.  

Gradient Boosting & AdaBoost

When dealing with large amounts of data, boosting algorithms are employed to make very accurate predictions. It is an ensemble learning method that mixes the different susceptible and mediocre predictors to produce strong predictors or estimators by combining the predictive power of varied base estimators in order to improve resilience.  

Conclusion

10 Best Free Calendar Apps For Android

One of the most common uses for an Android phone is time management. There’s no more convenient place to keep your calendar than on your phone. It’s where you can quickly glance at your daily agenda, add a reminder so you don’t forget a meeting, or plan out your weekly and monthly goals.

Unfortunately, not all calendar apps offer the features you need for a truly productive live. Some lack task management. Others lack an intuitive interface. Still others make you waste more time entering events than you’d spend just writing them down on paper.

Table of Contents

Choosing the Best Free Calendar Apps

The following are 10 of the best free calendar apps that you can download to your Android right now. These apps were chosen because they passed all the following tests.

Integration with Google Calendar (the Android default)

Task management features

One or more calendar view (not task only or calendar only)

Intuitive Interface

Any of the following free calendar apps will serve you well and help you make the most of your precious time each day.

1. Google Calendar

The Google Calendar app comes installed by default on Android phones. This doesn’t mean that it’s inferior to most Android calendar apps out there. In fact, it’s one of the most versatile and intuitive calendar apps you could hope to use.

Pros:

Daily agenda view with color-coded blocks for events

Day, 3-day, week, and month views

Syncs and displays multiple Google calendar accounts

Quickly add goals, reminders, and events

Cons:

No task management feature

Easy to accidentally tap to add new event

Doesn’t integrate with other calendar accounts

2. Business Calendar 2

Business Calendar 2 looks very similar to Google Calendar; however, it fits more information into a smaller mobile screen. This means less scrolling. You also get a quick overview of your weekly or monthly schedule with less scrolling.

You’ll have all the same views available as Google Calendar as well. What Business Calendar 2 does that Google Calendar doesn’t is a useful task management feature that integrates tasks right into your calendar when you add them with a due date. Multiple task lists are available.

Pros:

More compact view, tailored for small mobile

Cons:

3. aCalendar

If you’re looking for a refreshing change, aCalendar is a great free calendar app for Android. The weekly agenda view has large blocks for days with events clearly visible in each day. It highlights the current day, and includes the month view off on the side.

It has the same features as Business Calendar 2, but with one downside. To use the task management feature, you’ll need to purchase the premium version of the app.

Pros:

Unique calendar views

Event search tool

Includes gestures technology

Very intuitive navigation

Cons:

4. DigiCal

The DigiCal Android calendar app is a refreshing take on calendar design. It lets you choose between a white or dark theme when you first launch it. Also, many of the views include multiple views, like a monthly view that also displays your daily agenda on half of the screen.

Also, most views aren’t static like other apps. In the Week Agenda view you can scroll through the agenda inside the box for individual days.

Pros:

Professional, intuitive calendar views

Displays more information in the same space than other apps

Includes current weather information at your location

Cons:

Small nuisance banners for premium upgrade

No task management feature

5. AnyDo

AnyDo is well-known as a powerful task management app. But what many people don’t know is that it’s one of the few cloud task management services that integrates a calendar-based agenda view into its app.

AnyDo lets you sync this calendar view with your Google Calendar account, so that you can seamlessly view events from your Google Calendar alongside all your AnyDo tasks.

Pros:

Fresh, clean calendar view

Integrates tasks and calendar events into a single calendar

Multiple task lists for organizing tasks

Includes recurring tasks and events

Cons:

Only one calendar view available

Limited calendar features compared to other calendar apps

Advanced features require premium upgrade

6. Tiny Calendar

You would think an app called Tiny Calendar would be overly simplified, however that’s not at all the case. Tiny Calendar looks a lot like the Google Calendar app, but with a wider view that helps you see more on a small mobile screen.

The Month view also includes a half-screen agenda view so you can see both a long-term and short-term view of your schedule at once.

Pros:

entries

Cons:

Task management feature requires premium apps

7. TickTick

The TickTick calendar app is very similar to AnyDo in both appearance and function. It’s primarily a task management app, but only provides a weekly agenda view that’s identical to what you find in the AnyDo app.

TickTick lets you add multiple tabs for Pomo time management and habit tracking as well. There are multiple color themes available, and the task management area allows for multiple lists.

Pros:

Clean and intuitive interface

Very simple to use

Swipe to mark event or task as done

Cons:

8. Accomplish

One of the more unique time management and calendar apps out there, Accomplish simplifies how you use your calendar app to save you time and help you stay focused. It does this with a simple calendar display with large blocks, and quick reminder icons you can drag up to block other preceding events from preventing you to prep for upcoming events like meetings.

A time management feature is also well integrated into the app; however, it isn’t possible to schedule tasks. Rather, they just remain in a task pane on the left side of the app.

Pros:

Simplicity enhances your productivity

Quick and easy to add events and tasks

Cons:

Tasks don’t include due dates

Very limited calendar views available

Navigation is not always intuitive

9. TimeTune

TimeTune is a very simple free calendar app for Android, but what it lacks in complexity it offers in time management features. The calendar view is timeline only, which you need to scroll through to see days in the future.

However, features this app offers that put it on top include important tasks.

Pros:

Encourages focus and productivity

Innovative Routines feature

Easy Google calendar account sync

Cons:

Advanced features require a premium purchase

Lacks multiple calendar views

10. Sectograph Planner & Time Manager

Sectograph is easily one of the most innovative free calendar apps for Android that you’ll ever use. All too often, people focus so much on managing their calendar that they forget to focus on the events happening in the moment. It’s also easy to stay blind to upcoming appointments, and then get caught off guard when they occur.

Sectograph gives you a creative visual display for your day. A red indicator marks the time of day as well as what tasks are coming up, and how much time you’ll spend on them. This makes it very easy, with just a quick glance, to see how much time you have left for the current task, and helps you take the time you need to prepare for upcoming appointments.

Pros:

Integrates with your Google Calendar

Beautiful design

Includes a transparent widget for your phone’s home screen

Cons:

Only one calendar view

No task management

Advanced features require Pro version purchase

Choose Your Best Calendar App for Android

As you can see, there are a lot of choices when it comes to Android calendar apps. By ensuring the app you use syncs with the cloud calendar account you use to store events, it gives you the ability to use one or more apps that offer features you need. For example, you can use Sectograph to stay focused on your daily agenda, and AnyDo to focus on task management.

The app you choose depends on how you tend to use your calendar, and which features will enhance your day and help you become more productive.

What Not How: Rules For App Development

Architects build buildings from specifications, so can IT management do the same? A new way of building applications, known as business rules processing, offers the prospect that IT might be able to do just that.

We need to start with an explanation of business rules and their possibilities. An interview with Val Huber of Versata Inc. (in Data Base Newsletter 25, No. 2, March/April 1997) spells out very clearly what business rules are about and what their potential is.

Huber says: “Years of experience with information system development have taught us two important lessons–it takes far too long to turn a relatively simple set of requirements into a system that meets user needs, and the cost of converting existing applications to new technologies is prohibitive.

He goes on to say, The factor underlying both of these problems is the amount of code it takes to build a system. If code is the problem, the only possible answer is to eliminate the coding by building systems directly from their specifications. That’s what [business rules do].”

A Sample Database and Application

Just to be definite in our example shown in figure 1, assume the database is an SQL database specifically and the boxes represent SQL tables. The arrows in the figure represent foreign key relationships; for example, there’s a foreign key from the ORDER table to the CUSTOMER table, corresponding to the fact that every individual order must be placed by a customer.

Those foreign key relationships can be thought of, in part, as existence dependencies; an order can’t exist unless the corresponding customer exists. And those existence dependencies are business rules. Foreign keys correspond to an important special case of business rules in general.

Here, A, B, and C are business requirements that must be met in order to carry out the overall business function. Incidentally, there’s an important point here that I’ll come back to in a moment: Those very same requirements might also need to be met as part of certain other functions (for example, “delete line item.”) But let’s concentrate on “insert line item” for now.

For each of these requirements, then, the application developer will specify a corresponding set of business rules. In the case of “check credit limit,” those rules might look like this:

This rule, obviously enough, means the new line item must be rejected if it pushes the total owed by this customer over the customer’s credit limit. But what does “total owed” mean? Clearly, we need another rule:

2. TOTAL_OWED = Sum (ORDER_TOTAL where not PAID)

Note that there isn’t any “total owed” column in the CUSTOMER table shown in figure 1, so the total does need to be computed as indicated.

3. ORDER_TOTAL = Sum (LINE_ITEM_AMOUNT)

4. LINE_ITEM_AMOUNT = QTY_ORD * ORD_PRICE

QTY_ORD and ORD_PRICE are both specified as part of the line item, so LINE_ITEM_AMOUNT can be computed directly.

Here’s the rule for the third requirement: “determine whether reorder is required”:

5. If QTY_ON_HAND – QTY_ORD

“Reorder” here can be thought of as the name of another application, part of the same overall integrated application system.

Alternatively, and this is a very important point, “reorder” might mean “send an e-mail message to some external agency.” So we’re not just talking about calling subroutines. And we’re not just talking about applications in the classical sense.

Business Rules Advantages

As you can see, the rules in our example are fairly declarative (nonprocedural) in nature. But they can be compiled into procedural code; in other words, they’re executable, loosely speaking. So we’ve specified our application in a purely declarative way. We haven’t explicitly written any of the usual procedural code at all, and yet we’ve still wound up with running code–an application that can be executed on the machine.

The Best Resources For Royalty Free Music To Use For Youtube Videos

In this article, we’ll be taking a look at a number of resources you can use to find royalty free music to use in your YouTube videos. We will also explain how you can make sure that the music you use doesn’t get you copyright claims, and what happens if you do get one.

Hopefully, by the time you’ve read through this article, you’ll have a solid understanding about how music copyright works on YouTube and how you can stay on the good side to ensure your videos can be monetized.

Table of Contents

How to Find Royalty Free Music

To start with, let’s take a look at the best ways to find royalty free music for YouTube videos. There are plenty of sources online, so it should be quite easy to find music that’s suitable to your video and your tastes.

Here is a quick overview of what we’ll be covering in this section;

Copyright free music through YouTube search

YouTube provided royalty free music

We’ll start with the safest option and that is to use royalty free music offered directly by YouTube. Simply navigate to chúng tôi and you’ll be able to browse through thousands of free music tracks and sound effects.

Not only are these tracks royalty free, but you can use them in your video without worry that they may mistakenly get copyright claimed. YouTube specifically provides the audio on this page for creators to avoid getting copyright claims.

Whilst you may not be able to find exactly what you are looking for, you can use this page to filter music by genre, instrument, duration, and even mood, which makes it a powerful tool to find music specific to your needs. The sound effects tab is a nice addition, too. You can organize by sound category and all of these sounds are free to use, too.

Next, we have copyright free provided by different channels on YouTube itself. Performing a simple search for ‘copyright free music’ can often return some useful results.

You can even include specific terms like ‘copyright free piano music’ or ‘copyright free comedy music’ to find more specific tunes. Keep in mind that just because a video has copyright free in its title, doesn’t mean it’s free to use on YouTube.

Carefully read the description of the video and see what rules apply. In many cases, it will state that you are allowed to use the song for free, so long as you credit the artist. In some cases, the video may state that you must pay first on their website to use their song – avoid these ones.

In some rare cases, using these songs, even if they are marked as copyright free, can cause you to run into copyright claim issues. At any point, artists can get signed or set up copyright for their content and this could make an older video that has promoted it invalid. We’ll talk more about how you can avoid this in the next section.

How to Make Sure Your Music Doesn’t Get You Demonetized

If you do not want to risk it, you should always use the music and sounds provided by YouTube on the music library that we linked earlier in this article. However, if you are willing to go further for slightly more enjoyable music, you can ensure your videos don’t get demonetized by following the steps I will outline below.

Step 1 – Make sure you read the description of any video you want to use the music from. Make sure it says in the description you are free to use their song without demonetization.

Step 2 – Ensure you go through the proper routes to claim the music that has been provided for free. Usually, this may be a third party  link or hosted on a music website like Soundcloud. Don’t just rip the music from the video.

Step 3 – Add the music to your video, making sure to save the project file in case you need to remove the music in the future. Next, upload the video to YouTube, let it process, but do not upload it.

Step 4 – Fill in all of the details you normally would, such as video description, tags, title, and thumbnail. Do not press publish. Instead, set the video as unlisted and then press done. Don’t worry, you can still switch it from unlisted to public in the future and your subscribers will still get notifications.

Next, you’ll need to wait some time. The best bet is to wait roughly 2 hours. If YouTube’s content ID system detects copyrighted material on your song, you’ll be notified by email. You can then remove your uploaded unlisted video, go back to your original project file, and choose a new song.

If you’ve followed the first steps, it’s very unlikely your video will get copyright claimed, however. But, this makes sure you don’t get caught out by rare cases where it does happen.

For example, once I used a song that was on a copyright free channel, but the artist got signed by a record label after it was published to that channel, which meant the information they provided about it being free to use was outdated.

By following the steps above, you make sure you test the system first to ensure you don’t fall victim to something like this. This then allows you to publish your video knowing that it’s safe for monetization and there’s no risk that you might have to reupload and lose your views.

What Happens if You Get a Copyright Claim on Your Video?

If you get a copyright claim on your video for using music, don’t worry. It won’t impact your channel. In most cases, any of the revenue you would have earned will just go to the original artist instead. In some cases, the video will be blocked from being published.

Copyright claims like this are completely different to channel strikes, which can cause your channel to be banned. Channel strikes are often only applied when you blatantly steal content without any fair use applied, for example uploading an entire movie, and a company manually files a DMCA notice. When using audio, this is very rarely going to happen, especially if you follow all of the steps in this article.

Summary

Thanks for reading this far. If you’ve read up to this point, you will have learned the following things:

How to find music that’s safe to use on your YouTube channel.

How to test that music won’t demonetize your videos.

What happens if you do get a copyright claim and why you don’t need to worry.

I hope that this article has been useful. Do you have any questions about YouTube’s copyright or content ID system? If you do, leave your question below and I’ll get back to you as soon as I can.

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