Anomaly Detection with MIDAS
Author(s): Nunzio Logallo Originally published on Towards AI. How can we detect anomalies more accurately and faster? Anomaly detection in graphs is a severe problem finding strange behaviors in systems, like intrusion detection, fake ratings, and financial fraud. To minimize the effect …
Sparsely Connected Custom model-The Simplest Way
Author(s): Akula Hemanth Kumar Originally published on Towards AI. Making computer vision easy with Monk, low code Deep Learning tool and a unified wrapper for Computer Vision. GoogLeNet architecture has sparsely connected layers instead of densely connected layers. Reference: TDS Have you …
Custom Network with Resnet, Densenet, Inception blocks
Author(s): Akula Hemanth Kumar Originally published on Towards AI. Making computer vision easy with Monk, low code Deep Learning tool and a unified wrapper for Computer Vision. Have you ever thought of experimenting to build a network with different blocks from Resnet, …
The Stop Button Paradox
Author(s): Shivam Mohan Originally published on Towards AI. The stop button paradox has been a long-standing unsolved problem in the field of artificial intelligence, with very few proposed solutions that can convincingly solve, even the toy version of the problem. Letβs see …
Surprisingly Powerful Dataset Exploration Techniques For Rookies
Author(s): Beltus Nkwawir Originally published on Towards AI. Lets explore the COVID-19 dataset and others with interestingly simple yet powerful techniques. Photo by CDC on Unsplash COVID-19 dataset download complete! What now? You must be thinking. That is exactly what I used …
Jupyter Notebook Keyboard Shortcuts for Beginners
Author(s): Magdalena Konkiewicz Originally published on Towards AI. Learn the most important shortcuts to improve your productivity while working with Jupyter notebook editor. Photo by cocoparisinenne on Pixabay When you start with Jupyter notebook most of the people use the menu bar …
RFBNet: Custom Object Detection training with 6 lines of code
Author(s): Akula Hemanth Kumar Originally published on Towards AI. Making computer vision easy with Monk, low code Deep Learning tool and a unified wrapper for Computer Vision. In a previous article, we have built a custom object detector using Monkβs RetinaNet. In …
How do Twins and Triplet Neural Network work
Author(s): Edward Ma Originally published on Towards AI. Photo by Ralph Mayhew on Unsplash As a practitioner, we usually build a multiclass classification model which is a predefined number of categories. Indeed, we do not need to know the total number of …
Serving Data Science to a Rookie
Author(s): Daksh Trehan Originally published on Towards AI. So, last week my team head asked me to interview some of the possible interns for the team for the role of data science and machine learning, and he forwarded me their resumes. He …
27 Words About Search Algorithms, 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! The number of jobs artificial intelligence will ultimately transform is everyoneβs guess. Most predictions, including Deloitteβs, are in the range of …
Seven Steps to Success: A Seven-step Guide to Learn and Master Machine Learning (ML)
Author(s): Anushkad Originally published on Towards AI. In case you dream of becoming a data scientist or an ML engineer, youβre at the right place to begin your journey with. This guide is completely based on my personal experience on how I …
Interview Questions: Object Detection
Author(s): Akula Hemanth Kumar Originally published on Towards AI. Photo by pisauikan on Unsplash I am currently in a job search for a Computer vision engineer. In this article, I am trying to share the things which I have learned. I would …