-
Data Science: Reality vs Expectations
In the majority of companies, the executives in charge of data science and the decision-making process using data science, have little or no education or understanding in actual data science. Where does this leave you, the data scientist?
-
What is Adversarial Machine Learning?
In the Cybersecurity sector Adversarial machine learning attempts to deceive and trick models by creating unique deceptive inputs, to confuse the model resulting in a malfunction in the model.
-
Women in the World of Data
When it comes to Data Science, many people affiliate the career path as being ‘nerdy’. An industry for men, smart men; pushing women further and further away from the career. What can be done about this, and why is it important?
-
The Challenges of Being a Data Scientist
According to a Stack Overflow survey, 13.2% of the data scientists are looking for a new job, as they are not satisfied in their current role. So why is this happening? What are the challenges Data Scientists are facing?
-
Common Data Problems (and Solutions)
Let’s have a look into some of the common problems with data and the solutions for them.
-
Junior Data Scientist: The Next Level
There is a difference in the level of experience compared to Junior, Mid-Level, and Senior Data Scientists. This article will go through the expectations for all job roles and what is required to move up the ladder.
-
Artificial Intelligence and the Metaverse
For those of you who don’t know, Artificial intelligence (AI) is the ability of a computer or a computer-controlled robot to perform tasks that are usually done by humans as they require human intelligence. Metaverse’s AI research and usage include content analysis, supervised speech processing, computer vision, and much more.
-
How to Build Your Career in Data Science
If you’re a Data Scientist and you’re setting your 2022 goals to improve and build your career, you’ve landed on the right page.
-
Celebrating Awareness of the Importance of Data Privacy
January 28 is Data Privacy Day, bringing awareness of the basic foundation and principles of data protection. Read about the day itself, why data privacy is important, and best practices you can adhere to in order to help ensure the privacy of your data.
-
Understanding Iterables vs Iterators in Python
Though often confused with one another, Iterables and Iterators are two distinct concepts. This article will explain the difference between the two, and how they are used.
|