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Why Data Science Important in Cybersecurity?

In the end, Data Science allows the cybersecurity sector to move from the assumption to the facts. During the last decade, the cybersecurity sector has been worried about FUD: fear, insecurity and doubts. Consumption in cybersecurity was based on the argument that "if we do not have an XYZ chart, then we just have to [...]

By | 2018-12-10T17:55:21+00:00 December 10th, 2018|Data Science|0 Comments

Top 3 Programming Languages for Machine Learning

Machine learning is a process to build AI-enabled algorithms with which machines can automatically learn or produce codes through the analysis of given data. Machine learning is the subset of Artificial Intelligence and again intersects many fields, including mathematics and psychology. Now, after giving a brief introduction, let's start with the technical part of the [...]

By | 2018-12-06T10:25:06+00:00 December 6th, 2018|Data Science|0 Comments

What is the Difference Between Machine Learning and AI?

It is not the same, but the idea that sometimes it can lead to confusion. Therefore I think it will be a written assessment to explain the difference. The two conditions often appear when this theme is "Big Data", analyzes and extensive widespread use of technology in our world. In the Early days Artificial intelligence [...]

By | 2018-12-05T20:20:00+00:00 December 5th, 2018|Data Science|0 Comments

What is Data Analysis?

Data analysis (DA) is the process of examining data sets to draw conclusions about the information they contain, increasingly with the help of specialized systems and software. Data analysis technologies and techniques are widely used in commercial industries to enable organizations to make more informed business decisions and researchers and researchers can verify or disprove [...]

By | 2018-12-03T21:06:13+00:00 December 3rd, 2018|Data Science|0 Comments

What is the Difference Between Data Science and Machine Learning?

One of the most common confusions arises among modern technologies, such as artificial intelligence, machine learning, big data, information science, deep learning and more. While all are closely interconnected, each has a different purpose and functionality. In recent years, the popularity of these technologies has increased to such an extent that several companies have now [...]

By | 2018-12-03T13:22:49+00:00 December 3rd, 2018|Data Science|0 Comments

What is Machine Learning?

Machine Learning (ML) is the study of algorithms and mathematical models that computer systems use to progressively improve their performance in a specific task. Machine learning algorithms construct a mathematical model of sample data, known as "training data", to make predictions or decisions without being explicitly programmed to perform the task. Machine learning is closely [...]

By | 2018-11-30T21:02:59+00:00 November 30th, 2018|Data Science|0 Comments

Career Opportunities in Data Analyst

We are in a technology-driven age and we are always managing the growing needs of businesses and consumers in relation to it. In this scenario, the role of data analysts becomes very dangerous to manage the demands. A data analyst is someone in charge of collecting and analyzing the data, responsible for performing a statistical [...]

By | 2018-11-29T19:47:56+00:00 November 29th, 2018|Data Science|0 Comments

What is the Difference Between Data Science and Data Analytics?

Data science and data analytics: people working in the field of technology and other industries probably hear these terms all the time, often interchangeably. However, although they may seem similar, the terms are often quite different and have different implications for businesses. Knowing how to use terms correctly can have a major impact on how [...]

By | 2018-11-29T19:38:23+00:00 November 28th, 2018|Data Science|0 Comments

What is Data Science?

Data science is a "concept for unifying statistics, data analysis, machine learning and its related methods" to "understand and analyze real phenomena" with data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, information science and computer science. Understanding Data Science Regardless of the assertion of the problem, the [...]

By | 2018-11-29T19:26:33+00:00 November 27th, 2018|Data Science|0 Comments

What skills are Needed to be a Data Scientist?

Leveraging the use of big data, as an insight-generating engine has driven the demand for data scientists at enterprise-level, across all industry verticals. Whether it is to refine the process of product development, improve customer retention, or mine through the data to find new business opportunities—organizations are increasingly relying on the expertise of data scientists to [...]

By | 2018-11-29T19:46:27+00:00 November 27th, 2018|Data Science|0 Comments

What are the Applications of Data Science?

The advancement of technology and its incorporation into our lives has led to the generation of data in large quantities. The data are obtained from means such as mobile phones, social networks, e-commerce sites, health surveys, Internet searches, etc. The availability of large datasets paved the way for Big Data, a field that refers to [...]

By | 2018-11-29T19:42:15+00:00 November 27th, 2018|Data Science|0 Comments