10 widely used data science and machine learning tools in 2020
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Data Science vs. Machine Learning. At its core, data science is a field of study that aims to use a scientific approach to extract meaning and insights from data. Machine learning, on the other hand, refers to a group of techniques used by data scientists that allow computers to learn from data.TRANSCRIPT
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Data Science and Machine Learning have become one of the leading technologies that have impacted the way things work and business operations. The growing demand for data science experts and machine learning experts indicate that these technologies are making their way into our lives. Whether you are a data science beginner or a proficient professional, upskilling your sled is imperative, and there are different ways to do the same. In this blog, we will cover 10 data science and machine learning (5 each) tools that will help you become an expert in this domain.
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Top 10 machine learning and data science tools :
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1. Scikit-learn- This tool is written in Python and provides a library for the Python programming language. It helps with data analysis and data mining. This tool also provides models and algorithms for classification, clustering, dimensional reduction, model selection, and pre-processing.
2. PyTorch- The next tool in our list is PyTorch. It is a torch based machine learning library. Torch is a Lua based computing framework and scripting language. It helps in building a neural network using the Autograde module. It can be used on Cloud platforms. Also, PyTorch provides distributed training and various tools for building neural networks. Also, it is easy to use.
Five machine learning tools:
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3. TensorFlow- This machine learning tool provides JavaScript that helps in machine learning. It also helps in building and training the modules. You can also run your existing models using TensorFlow.js. The latter helps in model conversion. TensorFlow can be used by script tags or by installing NPM.
4. Weka- This tool helps in data mining. Some of the key features of this tool are that it helps in data preparation, classification, clustering, regression, and visualization. Besides, you can also find online courses for training. Weka has easy to understand algorithms. If you are a data science beginner, then this tool is good for you.
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5. KNIME- This tool is used for reporting, data analytics, and integration. It combines the different components of machine learning and data mining. This tool can integrate the code of programming languages like Java, C, C++, JavaScript, R, and Python. It finds application in financial data analysis, CRM, and business intelligence.
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1. RapidMiner- This tool is used to develop software for real data science. It is faster and easier. This is an extremely fast platform that brings together different processes like data preparation, machine learning, and model deployment. It has more than 1500 functions like built-in templates and repeatable workflows. It is used for enterprise solutions.
2. Apache Spark- It is the most used data science tool. It has various APIs that motivates Data Sciences to make rehashed access to data for Machine Learning, Storage SQL, and others. It can perform faster than MapReduce. It also has many APIs that help the data scientists make an accurate forecast with the available data.
Five tools for data science
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3. MySQL- This is an open-source RDBMS. There are different approaches to store the information, but the database is considered to be the most helpful one. It is easily accessible and offers better analysis. The user can collect, clean and visualize the data with MySQL.
4. DataRobot- It offers a machine learning platform that helps build and implement predictive models in less time. It works by improving the speed of predictive analytics. It enables flexible deployment, governance, and offers world-class support.
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5. BigML- Another popular tool that is used by data scientists across the globe is the BigML. It is an integrative, cloud-based GUI which is used for processing Machine Learning Algorithms. It is used for cloud computing. One of the best features of BigML is that it is easy to use web-interface, and you can use it for free. So, if you are beginning your data science and machine learning journey, then you must learn about BigML. If you have to use it to analyze a higher volume of data, you can opt for a premium account. BigML has interactive visualizations of data, and it also enables the user to send the visual graphs on mobile and other IoT gadgets.
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These were some of the popular tools used by data science experts and machine learning experts. Most of these tools are free of cost and are easy to understand. If you are starting to learn about these concepts or you want to become an expert in the field of data science and machine learning, having in-depth knowledge about these tools is a must.
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Conclusion
Global Tech Council is a renowned name when it comes to choosing a platform that offers a holistic learning experience. If you pick up a data science certification course or a machine learning training program, you will learn about all the latest tools and technologies that will help you master this domain. This data science certificate online program makes it easy for you to learn it as and when you want.
In the times to come, we are going to witness a growing demand for data science and machine learning experts. To become a part of this growing bandwagon, these certification programs, along with knowledge of the additional skill, are a must.
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