Publications tagged `MACHINE LEARNING`
Name Followers
Random Noise Random Topics in Data Science, ML, AI, Mathematics, and Programming. 0
Quantargo Hands-on tips, tricks and techniques all about Data Science. 0
ML2B How to convert Machine learning Theory into Business 0
Optimizing Hyperparameters Optimization or tuning of hyperparameters is the question of choosing an appropriate range of hyperparameters for a learning algorithm. A hyperparameter is a parameter by which the learning process is regulated by its value. The values of certain parameters (usually node weights) 0
The Data Dump Technical articles on software engineering topics like data infrastructure, machine learning, and bioinformatics. 0
Kaedim Thoughts from the minds behind Kaedim, building a world where creativity can be realised without frustration. 0
Emulation Nerd I am Multi-Disciplinary Engineer pursuing my M.S in Mathematics from BITS Pilani, interested in the field of AI and Data Science. I usually have not-so-novel approaches to understanding concepts and problem solving. They work better for me mostly and wanted to share those here. 0
Structuring your Machine Learning projects This article summarizes about how you can structure your machine learning projects . 0
An Hour with Myself (As an Engineer and a Scientist) Like any good engineer or a scientist, I take pleasure in exploring uncharted territories or reviewing and challenging what I thought I new; to push boundaries, or simply to improve things marginally. I hope these can be of value to others as well. 0
Object Detection using OnnxRuntime in C# This example demonstrates how to do model inference using OnnxRuntime with pre-trained yolov3.onnx model 0
GyroCodes GyroCodes is a blog made by two HighSchool students to share their ideas and experiences with coding. Though we are no experts in programming, we believe everyone has something good to share and that’s why this blog was made to share our projects and experiments with coding. 0
Machine Learning Projects Machine Learning Workflows 0
Practical coding Practical coding and machine learning publications that fill in the gaps 0
Deep Learning for Protein Design This blog follows the current research in deep learning for protein structure prediction and design (with a focus on protein design). 0
Deep Learning Digest A weekly digest of the new state-of-the-art (SOTA) Deep Learning approaches and solutions 0