Top 10 Python Libraries for Machine Learning in 2023
Machine learning is a branch of artificial intelligence that deals with the development of algorithms that allow machines to learn from data and make predictions or decisions based on that learning.
Python is one of the most popular programming languages for machine learning due to its simplicity, flexibility, and the availability of numerous libraries that can be used for various tasks in machine learning. In this article, we will explore the top 10 Python libraries for machine learning in 2023 and their applications.
1. TensorFlow
TensorFlow is an open-source machine-learning library developed by Google. It is used for building and training neural networks and other machine-learning models. TensorFlow offers an extensive set of APIs for both low-level and high-level operations, making it suitable for beginners and advanced users alike. It is also known for its scalability, making it a preferred choice for building large-scale machine-learning applications. TensorFlow can be used for a wide range of applications, including computer vision, natural language processing, and speech recognition.
