Artificial Intelligence (AI) refers to the development of machines and software systems capable of performing tasks that typically require human intelligence, such as learning, problem-solving, and decision-making. In the business context, AI helps companies automate processes, analyze large datasets, and improve customer interactions. AI’s growing importance in business stems from its ability to boost efficiency, ...
Machine learning is a branch of artificial intelligence that enables computers to learn from data and make predictions or decisions without being explicitly programmed. As machine learning grows in importance across various industries, understanding the process involved in developing effective models becomes essential. This structured process is known as the Machine Learning Life Cycle. It ...
The data analytics landscape has undergone a rapid transformation, becoming a crucial part of decision-making in almost every industry. From finance to healthcare and retail, businesses are now relying heavily on data analytics to gain insights, optimize processes, and drive growth. As demand for data-driven decision-making increases, the need for skilled data analysts continues to ...
Artificial Intelligence (AI) has become an essential part of modern technology, transforming how industries operate and how individuals interact with digital systems. AI can be classified into three main types: Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI), and Artificial Superintelligence (ASI). Among these, Artificial Narrow Intelligence, often referred to as “Weak AI,” is the ...
Machine learning (ML) is a field that focuses on developing systems capable of learning from data to identify patterns and make decisions. Within ML, a key task is concept learning, which involves finding a hypothesis that best describes a given set of training examples. This process helps machines understand and generalize from data, enabling them ...
Data analytics is a rapidly growing field, and interviews often cover a wide range of topics, from basic concepts to advanced techniques. Whether you’re new to the field or aiming to level up, this article will guide you through 80+ interview questions, covering beginner, intermediate, and advanced levels. These questions will help you build a ...
Artificial Intelligence (AI) and human intelligence are distinct forms of intelligence, each with unique capabilities and limitations. AI refers to the ability of machines to perform tasks that typically require human intelligence, such as recognizing speech, making decisions, or solving problems. It relies on algorithms and large datasets to learn patterns and execute specific tasks ...
Gradient Descent is one of the most important optimization algorithms in the field of machine learning. Optimization algorithms are used to minimize or maximize a function, which is crucial for training models effectively. Gradient Descent helps find the best parameters (weights and biases) for a model by reducing the error in predictions step by step. ...
The ever-increasing volume of data generated by businesses, consumers, and devices has made big data analytics a vital tool for organizations. Analyzing vast datasets enables businesses to derive meaningful insights that improve decision-making and operational efficiency. Big data analytics allows organizations to stay competitive by uncovering hidden patterns and trends, making it essential for driving ...
Data science is one of the most in-demand careers today. With businesses increasingly relying on data to make decisions, the need for skilled data scientists has grown rapidly. Whether it’s tech companies, healthcare organizations, or even government institutions, data scientists play a crucial role in turning raw data into valuable insights. But how do you ...
Mohit Uniyal
Mayank Gupta
Team Applied AI