Machine Learning Engineer

Python is a general-purpose coding language—which means it can be used for other types of programming and software development besides web development.

R is a programming language used for statistical computing and graphics, widely used among statisticians, data scientists, and researchers for data analysis and visualization.

Algorithms are step-by-step procedures or sets of rules designed to solve specific problems or perform tasks in computing and other fields, helping computers process and analyze data efficiently.

Deep learning is a type of machine learning that uses artificial neural networks to learn from data.

Data structures are data organizations that allow for efficient access and manipulation of data.

Machine learning is the process of developing machines, software programs, and other computer systems capable of “learning” and applying learned knowledge without specific instructions.

The process of collecting, organizing, summarizing, and interpreting data to draw conclusions, make inferences, and support decision-making.

SQL stands for “Structured Query Language” and it is a programming language used to manage data in relational database management systems, creating data structures, and accessing data in web development.

Distributed computing is the practice of running multiple tasks on multiple computers in a network. Distributed computing is used to solve problems that are too large or complex to be solved by a single computer.

Cloud platforms refer to online services that provide scalable computing resources, storage, and services over the internet, enabling organizations to deploy, manage, and run applications without the need for on-premises infrastructure. The most commonly used cloud platforms are Amazon Web Services (AWS), Google Cloud, and Microsoft Azure.

The process of collecting, organizing, summarizing, and interpreting data to draw conclusions, make inferences, and support decision-making.

Big data is a term used to describe data sets that are too large or complex to be processed using traditional data processing methods. Big data is often used to analyze customer behavior, predict trends, and make better decisions.

Code efficiency is the ability to write code that is both fast and reliable. Code efficiency is important for a number of reasons, including performance, cost, and scalability.

Version control is the management of changes to documents, source code, or other files, allowing multiple users to collaborate and track revisions, facilitating teamwork and preventing conflicts.