Top Machine Learning Tools for Easy Development

  • April 27, 2020

Let’s start with some simple real-life examples that we’re sure you all must have experienced Tools.

You watch Netflix and it offers you viewing suggestions.

Twitter shows you relevant tweets on your timelines instead of recent ones.

Quora offers specific answers to all types of questions you ask.

If you use Hubspot for sales & marketing, it makes your life easier by telling the customers that are most likely to buy your product.

You ask Siri a question and it gives you an apt reply.

Today, most of the applications, software, websites, tools, and devices that we use are loaded with cognitive ability to learn behind the scenes and surprise us with smart, personalized results. This is made possible with Machine Learning. 

Understanding What Is Machine Learning

While you have heard the term ‘Machine Learning’ quite a number of times, knowing its actual meaning is important before jumping the boats of development with ML tools. 

In simple terms, Machine Learning is the science that teaches computers how to think, act, and learn like humans. In more technical terms, it is the process of getting computers to make precise predictions based on the data they are fed with.

How Machine Learning Impacts Development

Let’s discuss how this emerging technology will impact web development and disrupt it. 

  • Improve Customer Experience: Machines are becoming more advanced than humans and they are better at detecting patterns or anomalies for future predictions. Analyzing your customers’ behavior and the unsystematic patterns of their purchase or browsing, Machine Learning responds in a more precise manner to convert. 

  • Improving & Speeding-Up Web Development: Machine Learning can be used for analyzing the complaints or the bottlenecks in your user experience to know where the user is facing difficulty. These flaws can be examined by the ML tools and help your development teams correct the issues for speedier development.

  • Offer A New Approach To Data Mining: The conventional data mining techniques helped humans detect patterns in their user behavior but also made the decision-makers with the actions taken afterwards. Machine Learning eliminates the need for human intervention and smartly detects the patterns and responds in an automated manner; thus, adding delight to customer experience.

  • Eliminate Cyber Security Threats: The majority of the malware attacks or cyber security threats tend to have a pattern, which can be easily detected by Machine Learning bots and tools. They can also detect the phishing attacks on the basis of factors like data encryption, domain, security features, etc., to check security and divert any cyber security threat. 

  • Personalize Content: Personalization is at the core of conversion right now and Machine Learning can enable you to do that. Like Facebook uses Machine Learning to customize each user’s news feed, you can also use this technology to create a personalized experience for your users by delivering content they might like. 

  • Discover Products Faster: It can make your customers have a more delightful web experience by helping them reach the relevant product faster. 

    Machine Learning Tools You Can Use

    When it comes to development, incorporating the latest tech is always an advantageous bet. There is so much you can do by using these emerging technologies and Machine Learning can certainly act as a game-changer. And Machine Learning tools make it even easier. Here is a list of not just the tools that are used to create a state of the art Machine Learning models and applications but are also tools, powered by Machine Learning, which make programming and development easier.

    Machine Learning Tools For Assisting In Development

    1. Kite (

    A great tool that helps all the developers in coding, Kite ensures auto-completion of codes as you write them down. It uses Machine Learning to learn codes from the data that it collects from Python codes. It is not the similar auto-suggest algorithms that you find in IDEs, it goes far beyond this. 

    Integration of Kite is available for almost all the code editors like Atom, Sublime Text, PyCharm/IntelliJ, Microsoft Visual Studio Code, and Vim.

  • — It learns from the Python code publicly available on Github and trains on the abstract syntax tree, giving it a sense of context and intent.

  • — Has the ability to suggest even complete function call with the arguments and respective meanings.

    2. Deepcode (

    Another tool that enables your developers with languages like Python, Java, and JavaScript, DeepCode ensures quality coding. It analyzes the codes for programmers and helps in improving it by finding and fixing bugs. The best part is that it can easily find even hidden code bugs that might go undetected. 

    3. Codota (

    Using a cloud-based service, Codota, a Machine Learning model, helps speed-up and ease the development. It offers suggestions for code completions when you type languages like Java and Kotlin.

    — This plugin protects your codes by not sending full code block outside the IDE.

  • — Your code data is not stored on the Codota server.

  • — Error-prevention and faster coding are the benefits you get.
  • — Codota editor support offered for IntelliJ, Android Studio, and Eclipse but also available for Linux, MacOS, and Windows .

    Machine Learning Tools For Developing ML Models

    1. Apache Singa

    This software can run on a wide range of hardware and applied for different applications. 

    — It offers enhanced IO classes with which one can write, read, encode, and decode all types of data and files.

    — If you need to build a more advanced machine learning model, you can use Tensor abstraction for that.

    2. Google ML Kit (

    When it comes to developing mobile applications, whether for Android or iOS, there is no better Machine Learning tool than Google ML kit. With this tool kit, mobile app developers can easily build and add personalized features in their applications.

    — Create apps that run on-device as well as on the cloud

  • — Get an integrated platform of Google’s Firebase mobile app development.

  • — Add video & image analysis for detecting faces, text, barcodes, etc.

  • — Offer its features to identify and translate up to 58 languages for reply suggestions.

    3. TensorFlow ( )

    One of the most popular Machine Learning tools among all the CTOs and other companies would certainly be TensorFlow. It was created by the Google team and helps in building excellent Machine Learning models in a quick and efficient manner. This offers a complete JS library, resources, and tools, for simpler development. 


    Machine Learning is one of the most powerful emerging technologies that is disrupting everyday lives.