Business Intelligence (BI) refers to the set of strategies, tools, technologies, and processes used to collect, analyze, and present data in a format that helps businesses make informed decisions. BI primarily focuses on querying, reporting, data visualization, and data analytics to provide historical, current, and predictive views of business operations.

Business Intelligence (BI)

Big data refers to extremely large and complex datasets that cannot be easily managed, processed, or analyzed with traditional data processing tools. The term "big data" encompasses not only the size of the data but also its variety, velocity, and complexity.

What is Big Data?

Big Data

Business Analysts work to understand the business processes, identify areas for improvement, and propose solutions to meet business objectives. They serve as a liaison between different stakeholders, including business leaders, clients, and IT teams, to ensure that projects align with business goals.

Business Analyst (BA)

Business Analytics and Data Science are related fields that involve extracting insights from data to support decision-making processes, but they have distinct focuses and methodologies.

Business Analytics (BA)

Backpropagation is an algorithm used for training neural networks. The goal is to minimize the error of the network's output by adjusting the weights of the connections between neurons.

Backpropagation Algorithm - Neural Networks

Backpropagation

In the contexts of statistics and machine learning, "bias" refers to the systematic error or deviation of a model's predictions or estimates from the true values.

Bias in Machine Learning

Bias

The Bias-Variance Tradeoff deals with the balance between two types of errors: bias and variance –with the goal of developing models that generalize well to new, unseen data.