With the evolution of technology and the expansion of businesses globally, data science is a more relevant field than ever. Companies rely on data scientists’ information to make informed decisions about how to operate their companies. If you’ve ever enjoyed mathematics, statistics, or working with data and information, data science could be an excellent career …
Why learn Python? Year after year, Python is one of the most popular programming languages for companies. Like most popular programming languages, Python’s popularity didn’t come until years after the language was created. Designed by Guido van Rossum, Python was initially introduced in 1991, while it’s updated model, Python 2.0, was released in 2000. Today, …
The barrage of pink slips in the tech industry has been rattling, to say the least. The massive layoffs have some questioning whether they should even consider a job in tech at all. Their concern is understandable. So far this year, more than 93,000 workers in U.S.-based tech companies have been let go in mass …
Considering becoming a data scientist? Learning Python Pandas is a great first step. This open-source tool is a cornerstone of the data science world, offering powerful features and capabilities for manipulating, analyzing, and visualizing data. In this article, we’ll provide you with the essential information you need to know about Python Pandas, including how it’s …
These days, many people are talking about machine learning (ML). The global ML market is growing – in 2021, it was already valued at $15.44 billion US. Machine learning (ML) comes from artificial intelligence (AI), which is a machine’s ability to imitate intelligent human behavior. But what is it really used for? In this article, …
Machine Learning Workflow: What It Is & Why It Matters Read More »
The right tools for a job can make all the difference, which is certainly the case in the tech space. Many developers refer to deep learning frameworks as building blocks because they simplify the training, validating, and designing stages. This blog looks at the top nine deep learning frameworks, showcasing their advantages and key features, …
