Welcome to the Beginner's Guide to Understanding Data Science and Machine Learning! This comprehensive introduction will delve into the exciting world of data science and machine learning, offering … [Read more...]
8 Best full Stack Python Frameworks to Embed Python Code to the Web
Python Development is on the rise. Be it machine learning or any other data science project, every full-stack developer needs frameworks to embed their back-end python code into client and server web … [Read more...]
The 6 Pillars of M2M (Machine to Machine) in IoT
M2M or ‘Machine to Machine’ is the communication between multiple machines without the help of human effort. M2M plays an important role in the development of the Internet of Things. M2M consists of … [Read more...]
7 Best Tools and Libraries for Data processing and manipulation
Data preprocessing is the predominant and one of the most crucial steps to undertake any data science project. A standardization of dataset must be attained to use it in any machine learning … [Read more...]
Best Online Platforms for Deep learning with Hosted GPU
With the introduction of online platforms for technologies such as deep learning, the need for powerful GPUs on our local systems has decreased with a consequential degree. To induct heavy … [Read more...]
Best Pre-Trained Models and Libraries for NLP projects
Pre-trained models are used to develop machine learning applications with easy by just fine-tuning the functionality of the deep learning model at the time of its embedding. NLP is a domain in huge … [Read more...]
Best Pre-Trained Models for Object Detection in Machine Learning
A pre-trained model is the one that has been trained on a previous problem and that can be used to solve other problems of similar domains. The architecture of these models can be slightly altered so … [Read more...]