AI Basics

Bidirectional Encoder Representations from Transformers (BERT) has revolutionized the field of natural language processing (NLP). Developed by Google in 2018, BERT introduced a powerful new approach to how machines understand the context of words in a sentence. Unlike previous models, which processed text in a unidirectional manner (either from left to right or right to left), BERT’s bidirectional architecture allows …

In the realm of machine learning, data quality is essential. Subpar data quality can result in erroneous models and deceptive insights, rendering it essential to detect and rectify anomalies inside datasets. Outliers are among the most prevalent data quality concerns. This blog will examine the concept of outliers, their influence on machine learning models, and effective methods for managing them—utilizing …

Statistics constitutes the foundation of artificial intelligence (AI). Statistical methods offer the instruments necessary for the interpretation, modeling, and analysis of data, ranging from comprehension of data distributions to the construction of machine learning models. This blog will guide you through the basic statistical principles necessary for students aspiring to flourish in AI. 1. Introduction to Statistics in AI Statistics …

1. Optimal Performance in Python This blog will focus on optimizing Python code by exploring topics such as memory management, just-in-time (JIT) compilation, Python’s Global Interpreter Lock (GIL), and methods for enhancing performance. Critical Areas to Address: The GIL: A Comprehensive Overview Profiling Python code with timeit and cProfile Memory management with tools like gc and pympler Making use of …

1. Python Functions Effective iteration over potentially huge datasets without loading them totally into memory is made possible with Python’s strong generator function. The yield keyword is used by generator functions instead of the return statement that is used by normal functions. The value is returned and the function’s state is preserved every time yield is met. When the next …