Artificial Intelligence (AI) is revolutionizing various industries, from healthcare and finance to entertainment and manufacturing. As of 2024, the global AI market was valued at over $387 billion and is expected to surpass $1.59 trillion by 2030. This exponential growth demonstrates AI’s increasing significance in driving innovation, reducing operational costs, and improving efficiency. Companies across ...
In machine learning, models make predictions based on data. However, they must generalize beyond the training data to be effective. This is where inductive bias comes into play. Inductive bias refers to the assumptions a model makes to generalize from the observed data, guiding learning algorithms toward specific predictions. What is Inductive Bias? Inductive bias ...
In machine learning, the quality of your model is heavily influenced by the data it is trained on. One essential step in data preprocessing is ensuring that the data is properly scaled to improve model performance. This is where normalization comes into play. Normalization is a technique used to scale numerical data features into a ...
State space search is a core technique in artificial intelligence, enabling the exploration of possible states to find solutions. By modeling problems as states and transitions, AI systems can solve complex tasks like puzzle-solving, robotics, and planning through systematic search strategies that efficiently navigate toward the goal state. Understanding State Space Search State space search ...
Did you know that data scientists are among the most sought-after professionals in today’s job market? As businesses generate and rely on more data than ever before, the demand for data scientists has skyrocketed. But is it really hard to become a data scientist? The answer depends on your skills, dedication, and willingness to embrace ...
Search algorithms are a fundamental part of artificial intelligence (AI), enabling machines to find solutions by exploring possible states or paths. There are two main types of search algorithms: informed and uninformed. While uninformed search algorithms explore the search space without additional knowledge, informed search algorithms use heuristic information to guide the search process more ...
Did you know that poor data quality can cost businesses millions of dollars each year? In fact, companies that don’t prioritize data cleaning often face the consequences of inaccurate insights, wasted resources, and poor decision-making. Data cleaning is a crucial part of the data science process, ensuring that the data you work with is reliable, ...
An expert system is a branch of artificial intelligence (AI) designed to simulate human expertise and decision-making abilities in specific domains. These systems are widely used for solving complex problems where human expert knowledge is required. Expert systems are integral to industries such as healthcare, finance, and manufacturing, providing reliable, data-driven decisions. What is an ...
Did you know that 90% of the world’s data has been created in just the last two years? In today’s data-driven world, both data analysis and data analytics are essential for making sense of vast amounts of information. While the terms are often used interchangeably, they represent distinct processes and skill sets that serve different ...
In the world of artificial intelligence (AI), search algorithms play a critical role in finding solutions to complex problems, especially in pathfinding. Among these algorithms, the A Search Algorithm* stands out as one of the most efficient and widely used, especially in fields like robotics, gaming, and navigation. Its ability to find the shortest path ...
Team Applied AI
Abhimanyu Saxena
