Classification Using Monk AI by Using a Slice of the Dataset
Author(s): Shubham Gupta Originally published on Towards AI. Classification Using Monk AI by Using a Slice of the Dataset In Machine Learning, Classification is a process of categorizing a given set of data into classes. It can be performed on both structured …
A Data Scientistβs Guide To Getting Started With Kubernetes On AWS
Author(s): ___ Originally published on Towards AI. Overview Source: https://aws.amazon.com/eks/ In this article, I will share how to use Kubernetes to run data science workloads. I will begin by showing how to set up a Kubernetes cluster on AWS. Then, I will …
An Offbeat Approach to Brain Tumor Classification using Computer Vision
Author(s): Navoneel Chakrabarty Originally published on Towards AI. navoneel1092283/Brain_Tumor_Detection_HybridCNN-SVM_Weights Computer Vision plays a very crucial role in the field of Medical Science and this study of Applied Computer Vision in Medical Science is broadly known as Medical Imaging. Now, Computer Vision is …
Can we build an AI model to understand what gangs are talking about and prevent gang violence?
Author(s): Rudradeb Mitra Originally published on Towards AI. Preventing Gang Violence by analyzing Tweets βSome believe that bolstering school security will deter violence, but this reactionary measure only addresses part of the problem. Instead, we must identify threats, mitigate risk, and protect …
Investigating the Risks Associated With COVID-19 Using Topic Modeling
Author(s): Piyush Rumao Originally published on Towards AI. Photo by Fusion Medical Animation on Unsplash βThe better we can track the virus, the better we can fight it.β Objective Since the outbreak of the novel coronavirus (COVID-19), it has become a significant …
Want to Make your App Attractive? Here are some Design Tips
Author(s): Sophia Martin Originally published on Towards AI. 1. Let Users Connect With Its Simplicity Mobile application development has become a blasting reality lately, particularly for organizations that fantasies about accomplishing more prominent objectives. Because of its prospering interest in current occasions, …
How to Run Jupyter Notebooks on MacOS Catalina β in Four Steps
Author(s): Pushkar Pushp Originally published on Towards AI. How to Run Jupyter Notebooks on MacOS Catalina β in Four Steps In my previous blog, I walked you through all steps to run a jupyter notebook. If youβre a data scientist or developer …
How On-demand Mobile App Development is Growing During Covid-19
Author(s): Sophia Martin Originally published on Towards AI. No matter in which corner of the world you are living, the Coronavirus Outbreak is incredibly affecting everyoneβs life and pushing the economy in the doom. On the one side, where lockdown is forcing …
28 Words About Optimization, Every AI-Savvy Leader Must Know
Author(s): Yannique Hecht Originally published on Towards AI. Artificial Intelligence Think you can explain these? Put your knowledge to the test! [This is the 4th part of a series. Make sure you read about Search, Knowledge, and Uncertainty before continuing. The next …
Why Switch to Convolutional Neural Networks?
Author(s): Suraj Dubey Originally published on Towards AI. Deep Learning Photo by Bluehouse Skis on Unsplash βWhatever you are studying right now, if you are not getting up to speed on deep learning, neural networks, etc., you lose. We are going through …
LSTM for Time-series: Chaos in the AI Industry
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. Machine Learning LSTM is one of the most common neural networks for forecasting time-series. Unfortunately, this kind of neural network is complex (data preparation in particular), not only because time-series data requires a specific …
Evaluation Metrics are What You Need to Define in the Earlier Stage
Author(s): Edward Ma Originally published on Towards AI. Statistics Photo by Edward Ma on Unsplash If you do not know how to justify whether model is good or not, it is similar to you want to get something but you do not …
Reading: ESRGAN β Enhanced Super-Resolution Generative Adversarial Networks (Super Resolution & GAN)
Author(s): Sik-Ho Tsang Originally published on Towards AI. Deep Learning Outperforms SRCNN, EDSR and RCAN, and SRGAN. Also, won the First Place in PIRM2018-SR challenge ESRGAN can have a sharper result than SRGAN In this story, Enhanced Super-Resolution Generative Adversarial Networks (ESRGAN), …
Getting Started With Unix/Linux
Author(s): Pushkar Pushp Originally published on Towards AI. Computing An introduction to Unix/Linux shell scripting (Photo by Jeremy Yap on Unsplash) Introduction Unix is a multi-user operating system built around 1969 at AT&T Bell Labs. The main purpose of UNIX was multi-tasking. …