Data Science Explained: Everything You Need to Know to Start a Career in 2024
Introduction The year 2024 presents one of the most exciting opportunities to dive into a data science career. As technology evolves and more industries integrate
Probability
1. Fundamentals a. Experiment: An experiment (or trial) is any procedure or action that produces a definite outcome. For instance, rolling a die is an experiment
“Attention” Is All You Need
Introduced The Transformer, a neural network architecture relying solely on self-attention mechanisms. This innovation quickly became the dominant model for various sequence-to-sequence tasks, such as
Mastering Descriptive Statistics: From Central Tendency to Box Plots and Beyond
Descriptive statistics refers to the branch of statistics that involves summarizing, organizing, and describing data using various numerical measures and graphical representations. It focuses on
Understanding Probability Distribution Curves: A Mathematical and Programmatic Perspective
Introduction Probability distribution curves are fundamental concepts in statistics, providing insights into the likelihood of different outcomes in a random process. They serve as powerful
Basic Python data types and structures
Python has several built-in data types and structures that are commonly used in programming and data analysis. Here are some of the most important ones:
Introduction to NumPy
NumPy (short for “Numerical Python”) is a Python library that provides support for large, multi-dimensional arrays and matrices, along with a variety of mathematical functions
Loading and Manipulating Data with NumPy arrays
NumPy arrays can be used to load, manipulate and analyze data in Python. Here’s an overview of how to load and manipulate data with NumPy
NumPy array operations and Broadcasting
NumPy provides a wide range of operations that can be performed on arrays, including mathematical, logical, and relational operations. These operations can be used to
