Top 9 R Machine Learning Packages In 2020

 

There is a big confusion between data scientists and machine learning developers to choose the programming language. Python, R, Java, Julia and Scala are some of the popular languages for data science and machine learning. The choice of programming language depends on developer’s preference and project requirements. Among these languages, R is the most popular programming language for statistical analysis and computing because of its amazing features. Researchers in the field of data science and statistical computing have been using this language for a couple of years due to its various features like running code without compiler, open-source, robust visualization library and so on. Let us see the top 9 R machine learning packages in 2020.

Top 9 R Machine Learning Packages in 2020

1. Dplyr-

It is one of the most widely used R package for data science. Dplyr provides some easy to use, fast and consistent functions for data manipulation. It works with data frame like objects, both in memory and out of memory. It is also called as the grammar of data  manipulation which provides methods that are a consistent set of verbs to solve the common data manipulation challenges. This package consists of set of verbs i.e., mutate(), select(), filter(), summarise(), and arrange().

To install this package, one has to write this code-

install.packages(“dplyr”)

And to load this package, you have to write this syntax:

library(dplyr)

2. Data Explorer-

It is a popular easy to use R package for data science. Among numerous data science tasks, exploratory data analysis (EDA) is one of them. In exploratory data analysis, the data analyst needs to give more attention in data. But, it is not a simple task to look at or handle data manually or to use poor coding. Automation of data analysis is required. Data explorer provides automation of data exploration and is used to scan and analyze every variable and also visualize them. It is helpful at the case where the dataset is too vast. Thus, the data analysis can extract the hidden information on data efficiently and easily. This package can  be installed from CRAN by using the code:

install.packages(“DataExplorer”)To load this R package, you have to write: library(DataExplorer)

3. MICE Package-

MICE refers to Multivariate Imputation by Chained Equations. It is a package that implements various imputation using FCS(Fully Conditional Specification). Here each variable has its own imputation model and built-in imputation models are provided for continuous data, binary data, unordered categorical data. This package includes some functions like inspecting missing data patterns, diagnosis fo quality of imputed values, analyses completed datasets, store and export imputed data in various formats, and so on.

4. Classification And Regression Training (Caret)-

This package is a set of functions that tries to streamline the method for creating predictive models. It has tools for splitting data, pre-processing, feature selection, model tuning with resampling, variable importance estimation and so on. The package began as a technique to provide a uniform interface with the functions, including the ways to normalize basic tasks, for example, parameter tuning, variable importance, among others. After completing the installation of this package, developer can run names (getModelInfo()) to see the 217 functions that can be run through only one function. To build predictive model, CARET package use train() function having syntax as- 

train(formula, data, method)

5. ggplot 2-

It is a popular package for data visualisation and is a system for declaratively creating graphics, based on the Grammar of Graphics. Using this package, one can create interactive data visualisations and make millions of plots of various models.

6. Shiny-

It is a web app framework for data science that helps to build up web apps with R rapidly. Either you can install software on each client system or cab host a webpage. Apart from this, you can build dashboards or can embed them in R markdown documents. Shiny can be extended with multiple scripting languages like CSS themes, html widgets and JavaScript actions. 

Features-

• Attractive default UI theme based on Bootstrap.
• A highly customizable slider widget with built-in support for animation.
• Prebuilt output widgets for displaying plots, tables, and printed output of R objects.
• Fast bidirectional communication between the web browser and R using the httpuv package.
• Uses a reactive programming model that eliminates messy event handling code, so you can focus on the code that really matters.
• Develop and redistribute your own Shiny widgets that other developers can easily drop into their own applications (coming soon!).

7. tm-

This package provides a framework to solve text mining tasks. In a text mining application, a developer has to do multiple tasks of tedious work like removing unwanted and irrelevant words, removing punctuation marks, removing stop words and so on. The package contains a few flexible functions to make your work easy like removeNumbers(): to remove Numbers from the given text document, weightTfIdf(): for term Frequency and inverse document frequency, tm_reduce(): to combine transformations, removePunctuation() to remove punctuation marks from the given text document and so on.

8. e1071-

Know more at- https://solaceinfotech.com/blog/top-9-r-machine-learning-packages-in-2020/

Why You Should Use Kotlin Over Java?

Those days are gone when you blindly prefer Java for android based projects. As time passed, Kotlin emerged as the tough competitor of Java for android development. Now it’s time to switch over Kotlin. It is not just about the popularity amongst the developers but also the advantages over Java. Before comparing Kotlin with java, Let see some basics of Kotlin-

What is Kotlin?

Kotlin is developed by JetBrains, and was first released in 2016. Immediately after the launch, it has gained a lot of popularity among the android community. And it gained momentum when google announced Kotlin as a first-class language for developing Android apps at the I/O 2017.

When it comes to its usability, Kotlin has a set of tools and frameworks that work with Java. Its advanced compiler can check the errors during compile time and run time also. It also reduces the lines of code to a great extent. Kotlin has everything that developers need and couldn’t find in Java or any other alternative like JRuby or Groovy. It is concise and completely interoperable with Java. Also, Kotlin came with higher compatibility with Android Studio in which IntelliJ IDEA, JetBrains’ own Java IDE serves as the backbone. Know the best Kotlin server-side frameworks at- 5 Best Kotlin Server-side frameworks.

What Is The Problem With Java?

Java was released 20 years ago. And hence each new version of Java has to be compatible with the previous version. It becomes a challenge to compete with newer, more concise, expressive programming languages. Java is still the official programming language for android development but it just starts to show its limitations and its age.

Reasons To Use Kotlin Over Java-

Reasons To Use Kotlin Over Java-

1. Easy Code-

Kotlin programs are easy to code as it does not need semicolons in their program. Also, they have smart casts and string templates. Java is not a concise language and it increases the chances of bugs. Kotlin is a concise language that means having fewer chances of runtime and compile-time errors. Kotlin provides an easy way to use mutable and immutable declarations for different data structures.

2. Completely Interoperable With Java-

One of the biggest advantages of Kotlin is, it is compatible with java. With multiple ways, it can easily use and exchange information from Java. Code of Kotlin and Java can co-exist in the same project. Kotlin can perform well with Java programming language. You can use multiple java libraries in Kotlin projects and this makes it more compatible. Compatibility is not just about the libraries but also with some advanced frameworks. You can use easily use Kotlin from Java by just converting a complete project to Kotlin. This is the biggest advantage for developers that they do not need to learn a new language. Anyone who is proficient with Java can easily code in Kotlin.

Know more at- 

https://solaceinfotech.com/blog/why-you-should-use-kotlin-over-java/

Beacons with Mobile App

Internet of things are introduces us to the world with ease. It is taking over everything. It has opened the ways where every device can connect, communicate and also perform transactions. All these things can be possible by the base of some inventive and imaginative technologies like beacon, iBeacon, BLE (Bluetooth low energy).  

What is a beacon?

Beacons are small, wireless transmitters that use low-energy Bluetooth technology to send signals to other smart devices nearby. They are the latest developments in location technology and proximity marketing. They connect and transfer information to smart devices making location-based searching and makes interaction easier and also more accurate.

How beacon technology works?

Working of Beacons Technology

Beacon is a part of indoor positioning systems. They use proximity technology to detect human presence nearby and trigger pre-set actions to deliver informational, contextual, and also personalised experiences. When a user passes through an area where indoor positioning system is set up, beacon sends a code with a message to their mobile device. Here come up the app solution. The coded message will show in the form of a notification only with mobile app. 

How it get location using the beacons?

Consider one example- You have set up the beacons in particular areas like at every corner of the floor in a corporate office. Once we have done with all the set up, each beacon will have the exact location details and it will start signal broadcasting. Now, you need an app to capture those signals and get beacon ID while it is in range of a specific mobile device. In case of multiple beacons within an area, the most accurate location is determined by the beacon which has best RSSI level.

The marketing with beacons is done by giving the indoor mapping, venue details and location based notifications to the customers. Customers can receive instant and limited offers as they walk inside the store or pass through a retail shop. This increases the store sales and develop customer loyalty with beacon technology.

Set up with Beacons-

Configure the Beacons-

Here we are able to make changes to vital information for instance, Beacon identifiers (Proximity UUID, Major, Minor, Namespace ID, Instance ID), Advertising interval, Transmission Power, notes, to name a few. We can add a custom configuration to individual beacons or multiple ones at a go.

Manage the beacons-

Using this panel, we are able to associate links, images and text with individual beacons. Further we also created managers , added and shared devices and used the location for grouping devices.

Monitor the Beacons-

This allows to monitor and control the devices, their status, updates, and usage. However, before we started with the monitoring, we had to ensure that the mobile app was permitted to use Location Services. 

Locate the Beacons-

We used this panel to collate and analyze the data we received on a beacon’s location.

What is iBeacon?

iBeacon is Apple’s implementation of Bluetooth low-energy (BLE) wireless technology to create a different way of providing location-based information and services to iPhones and also other iOS devices.

Listing iBeacon Apps-

1. BeHere app-

This app was created by a company “Beelieve” based in Brazil. The app turns a teacher’s iPad into an iBeacon that automatically identifies students as they enter the classroom with their iPhone, or iPod touch also running the same BeHere app. Best thing in app is that students can use it to ask for a teacher’s help as the class begins. They have to do is just press the button on their phone. The teacher then sees such requests in a queue and can respond as needed. Students’ profiles can also be connected to Facebook, allowing BeHere to include a profile picture, too. The app reiterates the broad potential for iBeacon technology, outside the retail environment.

2. Proximitask App-

Proximitask is an app which acts as a missing link between reminders on your phone and beacons in the real world. This app allows you to trigger reminders based on location and also proximity based on beacons. This app is mostly used in enterprises works like this: beacons placed around employees’ desks are used to quickly remind the employees about their tasks for the day. Additionally, with iOS8 enabling beacon-triggered lock screen notifications that employees can access their to-do lists with a single swipe off the lock screen – without having to receive repetitive push notifications.

3. Event base:

It is a great event managing tool. Event Base app integrates with iBeacon technology to more readily connect with attendees through instant push notifications. It displays personalized suggestions and content to its user. Most important feature of Event Base is that it provides 24/7 attendee support through an intelligent chatbot.

4. At the ballpark app-

This is extraordinary compared to other applications in the games space with some magnificent features. When a user loads the app on the way to the stadium, it suddenly identifies the stadium he/she is enroute to and starts populating data explicit to that one. As the user reaches near to the entrance, it displays the barcode of his/her ticket and directs him/her to the relevant seat via map. Also it highlights the points of interest. If the tickets were purchased online using Apple Passbook, the app even pulls them up automatically.

The app also gives other benefits such as offering directions to the shortest path, both at the entrance and at the foodcourt line where he/she is trying to purchase food. The stadium uses beacons to send out coupons and also promotions for closeby merchants. It also allows teams to track the visits made by their fans thus enabling them to reward fans with special coupons and discounts for their frequent visits.

Know more about how small businesses can use beacons for growth at our blog- How Small Businesses Can Use Beacon Technology for Growth & Engagement?

Feel free to contact us for any beacon apps development. Solace team is there to help you. Expert’s are well trained for beacon app development. They will deliver you a best app for beacons that will boost your business to the next level.