top of page
Writer's pictureImran Ghani

Top 5 machine learning Software tools 2020



Introduction:


Machine learning is such a system that enables us to examine data, learn something from that particular data, and then make decisions based on the available data. It involves algorithms and that is why it is known to be a bundle of algorithms.


Machine Learning Nptel courses available are suitable for any type of learner be it a beginner, intermediate or professional


There are many machine learning tools that are used in abundant by many organizations. Our team at takethiscourse.net has compiled a list of the top 5 machine learning software tools for 2020. The names and details of which are given below.

List of top 5 machine learning software tools 2020:


Below are the names and details of the top 5 machine learning software tools for the year 2020.


TensorFlow:


TensorFlow is famous for providing a JavaScript library that helps in machine learning. The APIs are going to help you build and train different models. With that, you can also run your existing models using TensorFlow.js which is also a model converter. Similarly, it also helps in the neural network. You can use TensorFlow in two ways. The first one is by script tags and the second one is by installing through NPM. Another advantage of using TensorFlow is that it can even help for human pose estimation. But one thing that should be kept in mind is, its use is a little difficult.


Knime:


Knime is another machine learning software tool for data analytics, reporting, and integration. Using the data pipelining concept, what it does is combine different components for machine learning and data mining. It is used to integrate the code of different programming languages. It includes C, C++, R, Python, Java, JavaScript, and more. With that, it can also be used for other purposes like business intelligence, financial data analysis, and CRM. Similarly, this tool has the ability to work as a SAS alternative and is very easy to install and deploy.


Pytorch:


PyTorch is a Torch-based, Python machine learning library that helps in building neural networks through Autograd Module. The torch is known to be LUA based computing framework, machine learning library, and a scripting language. The Pytorch is famous for providing a variety of optimization algorithms for building neural networks. With that, it also provides a variety of optimization algorithms for building neural networks. Pytorch can also be used on cloud platforms and helps in creating computational graphs in the easy way. Due to the hybrid front-end, Pytorch is very easy-to-use.


Google Cloud AutoML:


The Google Cloud AutoML is a well-renowned suite of machine learning products that are used by organizations in abundance. These high-end products enable developers with limited machine learning expertise that train high-quality models which are according to their business needs. It relies entirely on Google’s state-of-the-art transfer learning and neural architecture search technology and has a simple graphical user interface to train, evaluate, improve, and deploy models based on your data. With that, it also has Google’s human labeling service that puts a team of people to work annotating or cleaning the user’s labels to make sure their models are being trained on high-quality data. Thus, overall it is an effective machine learning tool to use.


Azure Machine Learning Studio:


The Azure machine learning studio empowers all the developers and data scientists by offering a wide range of productive experiences for different purposes. It includes building, training, and deploying machine learning models the faster way. Similarly, you can also accelerate time to market and foster team collaboration using industry-leading MLOps-DevOps for machine learning. This machine learning tool gives you a chance to innovate on a secure, trusted platform, and is designed for responsible ML. It also offers robust MLOps capabilities that easily integrate with the existing DevOps processes and help manage the complete ML lifecycle effectively.


Top 15 Most Used Machine Learning Tools By Experts article written by Shivashish Thakur.



Conclusion:


All these 5 machine learning tools for 2020 are the best tools one can ever use so it is entirely up to you to decide which tool fits your needs.You can also read this top 5 machine learning blogs to know all details about Machine Learning.

6 views0 comments

Comments


bottom of page