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Machine learning on Windows Pc

Developed By: Helpful Books

License: Free

Rating: 4,8/5 - 119 votes

Last Updated: April 17, 2024

Compatible with Windows 10/11 PC & Laptop

App Details

Version	61.0
Size	7.6 MB
Release Date	December 10, 23
Category	Books & Reference Apps
App Permissions: Allows applications to open network sockets. [see more (6)]
Description from Developer: Machine learning is a field of computer science that gives computer systems the ability to "learn" (i.e., progressively improve performance on a specific task) with data,... [read more]

App preview ([see all 10 screenshots])

About this app

On this page you can download Machine learning and install on Windows PC. Machine learning is free Books & Reference app, developed by Helpful Books. Latest version of Machine learning is 61.0, was released on 2023-12-10 (updated on 2024-04-17). Estimated number of the downloads is more than 10,000. Overall rating of Machine learning is 4,8. Generally most of the top apps on Android Store have rating of 4+. This app had been rated by 119 users, 1 users had rated it 5*, 99 users had rated it 1*.

How to install Machine learning on Windows?

Instruction on how to install Machine learning on Windows 10 Windows 11 PC & Laptop

In this post, I am going to show you how to install Machine learning on Windows PC by using Android App Player such as BlueStacks, LDPlayer, Nox, KOPlayer, ...

Before you start, you will need to download the APK/XAPK installer file, you can find download button on top of this page. Save it to easy-to-find location.

[Note] You can also download older versions of this app on bottom of this page.

Below you will find a detailed step-by-step guide, but I want to give you a fast overview of how it works. All you need is an emulator that will emulate an Android device on your Windows PC and then you can install applications and use it - you see you're playing it on Android, but this runs not on a smartphone or tablet, it runs on a PC.

If this doesn't work on your PC, or you cannot install, comment here and we will help you!

Install using BlueStacks
Install using NoxPlayer

Step By Step Guide To Install Machine learning using BlueStacks

Download and Install BlueStacks at: https://www.bluestacks.com. The installation procedure is quite simple. After successful installation, open the Bluestacks emulator. It may take some time to load the Bluestacks app initially. Once it is opened, you should be able to see the Home screen of Bluestacks.
Open the APK/XAPK file: Double-click the APK/XAPK file to launch BlueStacks and install the application. If your APK/XAPK file doesn't automatically open BlueStacks, right-click on it and select Open with... Browse to the BlueStacks. You can also drag-and-drop the APK/XAPK file onto the BlueStacks home screen
Once installed, click "Machine learning" icon on the home screen to start using, it'll work like a charm :D

[Note 1] For better performance and compatibility, choose BlueStacks 5 Nougat 64-bit read more

[Note 2] about Bluetooth: At the moment, support for Bluetooth is not available on BlueStacks. Hence, apps that require control of Bluetooth may not work on BlueStacks.

How to install Machine learning on Windows PC using NoxPlayer

Download & Install NoxPlayer at: https://www.bignox.com. The installation is easy to carry out.
Drag the APK/XAPK file to the NoxPlayer interface and drop it to install
The installation process will take place quickly. After successful installation, you can find "Machine learning" on the home screen of NoxPlayer, just click to open it.

Discussion

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Download older versions

Other versions available: 61.0 , 43.0.

Download Machine learning 61.0 on Windows PC – 7.6 MB

Download Machine learning 43.0 on Windows PC – 8.5 MB

Machine learning is a field of computer science that gives computer systems the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed.

The name Machine learning was coined in 1959 by Arthur Samuel. Evolved from the study of pattern recognition and computational learning theory in artificial intelligence, machine learning explores the study and construction of algorithms that can learn from and make predictions on data – such algorithms overcome following strictly static program instructions by making data-driven predictions or decisions, 2 through building a model from sample inputs. Machine learning is employed in a range of computing tasks where designing and programming explicit algorithms with good performance is difficult or infeasible; example applications include email filtering, detection of network intruders or malicious insiders working towards a data breach, optical character recognition (OCR), learning to rank, and computer vision.

Machine learning is closely related to (and often overlaps with) computational statistics, which also focuses on prediction-making through the use of computers. It has strong ties to mathematical optimization, which delivers methods, theory and application domains to the field. Machine learning is sometimes conflated with data mining, where the latter subfield focuses more on exploratory data analysis and is known as unsupervised learning. vii Machine learning can also be unsupervised and be used to learn and establish baseline behavioral profiles for various entities and then used to find meaningful anomalies.

Within the field of data analytics, machine learning is a method used to devise complex models and algorithms that lend themselves to prediction; in commercial use, this is known as predictive analytics. These analytical models allow researchers, data scientists, engineers, and analysts to "produce reliable, repeatable decisions and results" and uncover "hidden insights" through learning from historical relationships and trends in the data.

Effective machine learning is difficult because finding patterns is hard and often not enough training data are available as a result, machine-learning programs often fail to deliver.

Allows applications to open network sockets.
Allows applications to access information about networks.
Allows an app to create windows using the type TYPE_APPLICATION_OVERLAY, shown on top of all other apps.
Allows using PowerManager WakeLocks to keep processor from sleeping or screen from dimming.
Allows access to the vibrator.
Allows an application to receive the ACTION_BOOT_COMPLETED that is broadcast after the system finishes booting.