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 …
Features in Image [Part -1]
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 Features Corners as features Feature extraction and visualization using OpenCV and …
So You Want to be a Data Scientist
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Here is my recipe for data science success Image source: Pexels Data is everywhere β from e-commerce sales, app downloads to a smartphone, to supply chain management or bioinformatics or connected devices. …
BatchNorm for Transfer Learning
Author(s): Michal Lukac Originally published on Towards AI. Making your networks to learn faster in TensorFlow 2+ source: Pexels There are still a lot of models that use Batch Normalization layers. If you would like to do transfer learning on such models, …
Image Processing Libraries in Python
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. Reference: https://www.tessellateimaging.com/ Table of contents OpenCV Python Pillow Scikit Image Conversions Quiz OpenCV What is …
Various Ways to Get Data on Google Colab
Author(s): Sanchit Tanwar Originally published on Towards AI. Google colab is one of the best platforms for giving free GPU. It is one of the best places to experiment if you are starting with deep learning. One of the best things about …
Understanding BERT
Author(s): Shweta Baranwal Originally published on Towards AI. Source: Photo by Min An on Pexels Natural Language Processing BERT (Bidirectional Encoder Representations from Transformers) is a research paper published by Google AI language. Unlike previous versions of NLP architectures, BERT is conceptually …