Say Hello to Artificial Intelligence
Say Hello to Artificial Intelligence
[Introduction] Traffic signs are everywhere on our roads, ensuring safety and efficient traffic flow. But what if we could teach a computer to understand and interpret these signs, just like humans do? That’s exactly what we’re going to explore in this video. [Project Overview] In this project, we trained a deep learning model to classify …
Traffic Sign Classification with 47 Classes: A Deep Learning Journey Read More »
To classify the Titanic dataset using Python, you will need to follow these steps: Here is an example of how you could classify the Titanic dataset using Python: This code first imports the necessary libraries, then loads the data using Pandas, explores the data, preprocesses the data by dropping missing values and encoding categorical variables, …
Dimensionality reduction is a method used to reduce the number of features or dimensions in a dataset. This is often done to reduce the complexity of the data, make it easier to visualize, or to improve the performance of machine learning algorithms. There are many different techniques for dimensionality reduction, including: Dimensionality reduction can be …
Some common deep learning algorithms include convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) networks. These algorithms are all types of neural networks that are designed to work with large amounts of data and to automatically learn from that data. CNNs are often used for image recognition tasks, RNNs are …
There are many different types of machine learning algorithms, and the best algorithm for a particular problem will depend on the specific characteristics of the data and the desired outcome. Some common types of machine learning algorithms include: These are just a few examples of common machine learning algorithms. There are many other algorithms that …
Data Science: Data science is a field that involves using scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science is a interdisciplinary field that includes aspects of computer science, statistics, and subject-specific expertise. It is commonly used to analyze data from experiments, sensors, and research to …
Difference between Artificial intelligence, Data Science, Machine Learning, and Deep Learning Artificial intelligence: Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and act like humans. These machines are trained to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language …
Data science is a field that involves using scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Data scientists use a variety of techniques from statistics, machine learning, and computer science to analyze and interpret data, and to build predictive models and data-driven solutions to real-world problems. Data science …
Django is a popular and powerful web framework for Python. It allows developers to quickly create and deploy web applications using a wide range of features and tools. Django is known for its emphasis on convention over configuration, which means that it follows a set of established patterns and conventions for building web applications, so …
Flask is a popular micro web framework for Python. It is a lightweight framework that allows you to build web applications quickly and easily. Flask is easy to get started with and has a simple, easy-to-use API. It is often used for building simple, single-page web applications or for building the back-end of more complex …