Dlabs.ai

MAY 25, 2020

In my previous article , I discussed the pros and cons of using JavaScript for machine learning. I delved into whether it performs as well as Python-based solutions on ML tasks. Environment We performed all tests on machines with the following specifications: CPU: Intel Core i7-4770HQ, clocked 2.2

Machine Learning 52

Machine Learning Python Neural Network Data Analysis 52

Viso.ai

DECEMBER 4, 2023

Artificial Neural Networks (ANNs) have been demonstrated to be state-of-the-art in many cases of supervised learning, but programming an ANN manually can be a challenging task. As a result, frameworks such as TensorFlow and PyTorch have been created to simplify the creation, serving, and scaling of deep learning models.

Neural Network 98

Neural Network Deep Learning Python Machine Learning 98

Unite.AI

SEPTEMBER 15, 2023

Python is immensely popular among developers and data scientists due to its simplicity, versatility, and robustness, making it one of the most used programming languages in 2023. With around 147,000 packages, the Python ecosystem continues to evolve with better tools, plugins, and community support.

Python 147

Python Data Scientist Data Science Data Analysis 147

Heartbeat

DECEMBER 15, 2023

Want to learn how to build modern software with LLMs using the newest tools and techniques in the field? This is where BeautifulSoup, a Python library, comes into play. However, it might struggle with JavaScript-generated dynamic content, which is increasingly common in modern web design.

AI Chatbots 52

AI Chatbots LLM Chatbots NLP 52