News / Blog: #machine-learning

What is a graph?

A graph is a mathematical structure that represents a set of objects (nodes) and connections between them (edges). A graph can be used to organize and visualize data, for example, in a graph form. Graphs are useful in many areas of computer science and everyday science, such as network topology, route planning, data analysis, and machine learning.

What is Deeptech?

DeepTech is a term used to describe technical innovations that are developed based on sophisticated technologies and algorithms. These technologies are often based on complex analytics and machine learning. They are commonly used in industries such as artificial intelligence, robotics, autonomous systems, biotechnology, and quantum computing.

What is Digital Transformation?

Digital transformation is the process by which organizations and businesses use technology to change and modernize. This process enables organizations to leverage the latest trends and technologies to create new opportunities, optimize their processes, and better serve their customers. This includes using technologies such as artificial intelligence, cloud computing, blockchain, Internet of Things, machine learning, and data analytics to automate business processes and increase productivity.

What is a forecasting tool?

A forecasting tool is a program or system used to predict future events or outcomes. It is commonly used in various industries, including finance, marketing, business, and weather. Forecasting tools can use different types of methods and algorithms to analyze data and make predictions. These include simple statistical analysis, complex machine learning algorithms, regression analysis, and data mining techniques.

What is Data Engineering?

Data Engineering is a branch of computer science that deals with the development, design, implementation and operation of databases, systems and applications for data processing. It includes the use of technologies such as databases, database queries, database administration, data analysis, data warehousing, data mining, business intelligence, and Big Data. It is a very important part of data science and machine learning.