Big Data Is Not the Way to Go
Author(s): Andre Ye Originally published on Towards AI. The significance of the data distribution a la unsplash This member-only story is on us. Upgrade to access all of Medium. A lot of discourse around deep learning would have you believe that more …
A Gentle Intro to AWS ML Related Services — Sentiment Analysis With AWS
Author(s): Kaan Boke Ph.D. Originally published on Towards AI. You’ll make a sentiment analysis with AWS ML-related services in minutes. No prior ML knowledge is required. This member-only story is on us. Upgrade to access all of Medium. Photo by Madison Oren …
Introduction to Confusion Matrix
Author(s): Saurabh Saxena Originally published on Towards AI. Model Evaluation What is Confusion Matrix and how to plot it in Python? Image by Author The Confusion Matrix is the visual representation of the Actual VS Predicted values. It is a performance evaluation …
Machine Learning Project in Python Step-By-Step — Predicting Employee Attrition
Author(s): Fares Sayah Originally published on Towards AI. AI for Human Resources: Predict attrition of your valuable employees using Machine Learning Photo by Marvin Meyer on Unsplash Human Resources & AI An organization’s human resources (HR) function deals with the most valuable …
This Is How You Can Build a Churn Prediction Model Using Apache Spark
Author(s): Paul Iusztin Originally published on Towards AI. An end-to-end tutorial on how to build a churn prediction pipeline using only Apache Spark. This member-only story is on us. Upgrade to access all of Medium. Image by the Author created with Stable …
A Gentle Introduction to Automatic Differentiation
Author(s): Pablo Monteagudo Lago Originally published on Towards AI. As a student of Mathematics and Computer Science, it was natural for me to get interested in Artificial Intelligence, being this a field placed in the intersection of both of these knowledge areas: …
Stop Using Grid Search! The Complete Practical Tutorial on Keras Tuner
Author(s): Konstantinos Poulinakis Originally published on Towards AI. Contents: This member-only story is on us. Upgrade to access all of Medium. Keras Tuner practical tutorial for automatic hyperparameter tuning of deep neural networks. An autoML tutorial. Photo by Veri Ivanova on UnsplashIntroLoad …
Building ML Enabled Applications
Author(s): Murli Sivashanmugam Originally published on Towards AI. From Building Software Applications to Building ML Applications Software Applications are currently transitioning from being Data-Enabled Applications to ML-Enabled Applications. In the future, most Software applications will not only have to collect and process …
Improve Your Classification Models With Threshold Tuning
Author(s): Edoardo Bianchi Originally published on Towards AI. A practical and essential guide This member-only story is on us. Upgrade to access all of Medium. Photo by Denisse Leon on Unsplash Threshold tuning is an important and necessary step in the Data …
Overview Of Vision Transformers Is All You Need
Author(s): Mustafa Gültekin Originally published on Towards AI. How are Transformers the next breakthrough in computer vision? This member-only story is on us. Upgrade to access all of Medium. Photo by Joshua Earle on Unsplash In the history of transformers in deep …
At the crossroads of Neuroscience, Data Science and Machine Learning — edition #1
Author(s): Kevin Berlemont, PhD Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Image created by StableDiffusion image generator using the title as the prompt Welcome to this bi-weekly/monthly newsletter, where I review and …
What Is the Connection Between a World Model, Schrödinger’s Cat, and Neural Networks?
Author(s): Alexander Kovalenko Originally published on Towards AI. Using Physics-Informed Neural Network (PINN) to solve famous Schrödinger Equation source For centuries, curious minds have been trying to crack the structure of the world around us. Most would agree that any branch of …
TransUNet — Revolutionize Traditional Image Segmentation
Author(s): Leo Wang Originally published on Towards AI. Renovating U-Net by combining CNNs and Transformer to achieve SOTA results on image segmentation tasks. Table of Contents · U+1F525 Intuition· U+1F525 TransUNet ∘ Down-Sampling (Encoding) ∘ Up-Sampling (Decoding)· U+1F525 Results· U+1F525 Implementations· Reference …
List of Important Libraries for Machine Learning and Data Science in Python
Author(s): Suhas Maddali Originally published on Towards AI. Understanding the use of various libraries in python and machine learning is handy for professionals in the field of data science. It makes life easier for data scientists or machine learning engineers. Photo by …
Demystifying GELU
Author(s): Konstantinos Poulinakis Originally published on Towards AI. Python Code for GELU activation function This member-only story is on us. Upgrade to access all of Medium. Photo by Willian B. on Unsplash In this tutorial we aim to comprehensively explain how Gaussian …
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