How to build hierarchical classification for image recognition
Author(s): Michal Lukac Originally published on Towards AI. The game-changing feature that makes deep learning more accessible. Solving computer vision problem of Screw & Nut recognition with hierarchical classification. Photo by JESHOOTS.com from Pexels Nowadays, there are a lot of companies that …
Bad Data Equals Bad Predictive Model
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Always question the source and quality of your data before using it for analysis or model building Image Source: Benjamin O. Tayo Data is key to any data science and machine learning …
Data Science in HealthCare
Author(s): Bindhu Balu Originally published on Towards AI. Medicine and healthcare is a revolutionary and promising industry for implementing data science solutions. Data analytics is moving the medical science to a whole new level, from computerizing medical records to drug discovery and …
Geometric Transformations on Images
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 Table of contents Scaling Translation Rotation Affine Transformation Perspective Transformation Scaling Image scaling refers to …
Image Enhancement
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. Table of contents Image Enhancement Pillow special functions OpenCV CLAHE Image Enhancement Need for Enhancement …
Features in Image [Part -2]
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. Feature extraction and visualization using OpenCV and PIL Level A features HoG features Histogram of …
CSV File Format in Data Science
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Tutorial on importation and exportation of data in CSV files. Python and R implementations. Python and R functions for importing and exporting data using the csv file format. Image by Benjamin O. …
The Best Data Science Publications to Follow in 2020
Author(s): Magdalena Konkiewicz Originally published on Towards AI. Focusing on Data Science, programming, AI, Machine Learning, and productivity Credit to:ktphotography The popularity of Data Science is growing; more and more companies start to implement Data science solutions to analyze and improve their …
The 4 Pβs of Data Science Project Management
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Plan, Prepare, Produce, and Publish your data science project Image Source: Pexels βBy failing to prepare, you are preparing to failβ β Benjamin Franklin This article will discuss the 4 Pβs of …
Teamwork is Essential in Data Science
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Without teamwork, real-world data science problems would be impossible to solve. Sharing personal experiences on the importance of teamwork in an industrial project Photo Source: Pexels βTeamwork is the ability to work …
How To Win A Data Science Competition
Author(s): Brandon Walker Originally published on Towards AI. This article is about in-person data science competitions that are judged holistically, and not graded by some accuracy metric (like Kaggle). I have participated in two data science competitions (placed 4th and 1st), and …
Tackle Imbalanced Learning
Author(s): Satsawat Natakarnkitkul Originally published on Towards AI. Photo by Rupert Britton on Unsplash Imbalanced learning U+007C TOWARDS AI All you need to know on how to tackle imbalanced learning issues Introduction If you have been in the field of data science …
Naive Bayes Classifiers
Author(s): Bindhu Balu Originally published on Towards AI. This article discusses the theory behind the Naive Bayes classifiers and their implementation. Naive Bayes classifiers are a collection of classification algorithms based on Bayesβ Theorem. It is not a single algorithm, but a …