Data is an integral aspect of every organization across all industries. However, presenting data is a crucial exercise that requires a lot of creativity to ensure that every team member can grasp the meaning of the content. Many people get confused about how to find valuable insights from a large volume of data in a spreadsheet. That’s […]
Machine Learning Models for Classification Tasks
In the field of machine learning, regression algorithms and classification algorithms are two important topics that lay a good foundation for people who want to advance their careers in the fields of Data Science or Machine Learning. Regression algorithms are methods that predict a continuous output (e.g., the price of a house), and classification algorithms are methods […]
Evolution of Machine Learning and How It Will Affect the Future
Click to learn more about author Kateryna Boiko Machine learning (ML) has been more than a buzzword lately. All the top companies have adopted innovative technologies, with Google making artificial intelligence a priority, Uber incorporating machine learning with Uber Eats, and countless research labs opening all over the world. How did machine learning become such a […]
From a Single Decision Tree to a Random Forest
Click to learn more about author Rosaria Silipo. The co-author of this column was Kathrin Melcher. Decision trees are a set of very popular supervised classification algorithms. They are very popular for a few reasons: They perform quite well on classification problems, the decisional path is relatively easy to interpret, and the algorithm to build […]
Why Data Science is Not Statistics
Click to learn more about author Alex Paretski. Statistics as a branch of applied mathematics plays an important role in identifying hidden patterns in data. That’s why it is frequently used interchangeably with broader terms such as Data Science, Data Analytics, Business Analytics, and Machine Learning. Not only is this comparison technically incorrect, but it […]
Data Scientists and Machine Learning Algorithms for the Data-Driven World
Artificial Intelligence (AI) and Machine Learning are projected to become mainstream technologies in the coming years, and are clearly already having a significant impact across many industries. How exactly is this happening? How are Data Scientists using their skills to develop better Machine Learning algorithms? Where are these innovative technologies going in the future? With […]