Posts From TowardsAnalytic
Penetration Testing Framework
Also referred to as a pen test, the penetration test contributes to being the simulated cyber attack against the computer system, which helps in recognizing different exploitable vulnerabilities. This type of testing is beneficial in augmenting the WAF or web
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Top 7 Statistical Concepts a Data Science Professional Must Know
In data science, statistics help predict events, trends, or any happenings. They ought to provide a deeper insight to organizations or individuals according to what the data predicts. Simply said, statistics acts like it is the soul of data science. With
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7 Use Cases For Data Science And Predictive Analytics
Data science is a tool that has been applied to many problems in the modern workplace. Thanks to faster computing and cheaper storage we have been able to predict and calculate outcomes that would have taken several times more human
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20 Core Data Science Concepts for Beginners
With so much to learn and so many advancements to follow in the field of data science, there are a core set of foundational concepts that remain essential. Twenty of these ideas are highlighted here that are key to review
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Top Text Analytics Companies In Singapore
Serving text data from the huge piles of mixed data everyday is not always an easy or pleasant job. Companies have come up with the latest tools and technologies that let the enterprises/companies/startups analyze only the important data because they
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Software Testing with Selenium
Selenium plays an integral role in automation testing, while software testing is a crucial part of software development. Before it is released into the market, it is essential to test it to measure the effective performance of the software/product. Though
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Data Analytics in Transportation and Supply Chain Management
The data, collected from data analytics is useful in different operations of the businesses for avoiding risks, the anticipation of risks and creating solutions. It is also beneficial to forecast different supply chain and logistical events. As the business organization
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5 Steps to Approach Challenges in Advanced Analytics
Advanced analytics is considered to be crucial for risk managers. They bring an improvement in the decision-making process. It also plays a vital role in enhancing accountability. It also offers financial health benefits. It is useful to the employees in
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What is Data Migration? – How to Implement it?
Data migration refers to the procedure of movement of data from a specific location to a new one for bringing an improvement in the system. It is effective in the preparation, selection, and transformation of data for transferring the same
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Machine Learning: Validation Techniques
Validation techniques in machine learning are used to get the error rate of the ML model, which can be considered as close to the true error rate of the population. If the data volume is large enough to be representative
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