Stolen Bike Visual Analysis using Tableau
Author(s): Suhas V S Data Visualization Interactive Tableau visualizations for a stolen bike dataset in the United Kingdom for the years 2014 to 2017. Photo by Markus Spiske on Unsplash In this case study, we will see some interesting visual solutions for the questions …
Billions of Rows, Milliseconds of Time- Pyspark Starter Guide
Author(s): Ravi Shankar Intended Audience: Working knowledge of Python,Linux and SQL Continue reading on Towards AI » Published via Towards AI …
How Much is Expected to Lose in KENO
Author(s): George Pipis A Brief Analysis of KENO Expected pay-off Continue reading on Towards AI » Published via Towards AI …
15 Top AI/ML/AR/VR Based App Ideas for Startups and SMEs in 2020–21
Author(s): Sophia Martin Technology 15 Top Unique AI/ML/AR/VR Based App Ideas in 2020–21 Source: Freepik Planning to invest in a mobile app? Here are the top 15 AI/ML/VR/AR app development ideas that ensure your success in 2020–21! With the availability of around 5 million …
Data Science, Car Crashes and Pandemics. Welcome to AlexNet
Author(s): Sohaib Ahmad Using AI to improve response times saves lives Continue reading on Towards AI » Published via Towards AI …
Underwater Object Segmentation Using MonkAI
Author(s): Omkar Tupe Photo by NOAA on Unsplash Computer Vision Table of contents About the project Monk Toolkit Segmentation Unet Inference based on an already trained model Training Inference(Post Training) Conclusion References 1. About the project This project focuses on segmenting different objects such as animals, plants, …
How to Create Dummy Datasets
Author(s): George Pipis How to Create Dummy Datasets in Python for testing and machine learning problems Continue reading on Towards AI » Published via Towards AI …
Perform Foundational Infrastructure Tasks in Google Cloud: Challenge Lab Tutorial
Author(s): Prateek Sawhney Detailed walkthrough of the steps I took to solve Perform Foundational Infrastructure Tasks in Google Cloud: Challenge Lab Skill Badge on… Continue reading on Towards AI » Published via Towards AI …
Develop a Fake News Classifier using LSTM
Author(s): Amit Chauhan Deep Learning and Natural Language Processing Continue reading on Towards AI » Published via Towards AI …
Solving the Vanishing Gradient Problem with Self-Normalizing Neural Networks using Keras
Author(s): Jonathan Quijas Machine Learning How to Improve Convergence and Performance of Deep Feed-Forward Neural Networks via a Simple Model Configuration Photo by Martin Sanchez on Unsplash Problem Statement Training deep neural networks can be a challenging task, especially for very deep models. …
End-to-End Implementation of Car Price Prediction Machine learning Project with deployment
Author(s): Amit Chauhan Modeling of machine learning algorithm and using heroku for deployment Continue reading on Towards AI » Published via Towards AI …
Build Floating Movie Recommendations using Deep Learning — DIY in <10 Mins
Author(s): Ravi Shankar Recommendations served on your own Webapp.com, Watch on Netflix.com Continue reading on Towards AI » Published via Towards AI …
The First Rule About AI Club: You Don’t Talk About AI
Author(s): Massimiliano Costacurta Artificial Intelligence, Opinion How focusing on decisions can help you productionize you next AI project Internet is the best place in the world to turn your suspicions into nightmares: suspecting your partner is cheating on you? Every Facebook Like will …
70+ Image Classification Datasets from different industry domains — Part 2
Author(s): Abhishek Annamraju A list of single and multi-class Image Classification datasets (With colab notebooks for training and inference) to explore and experiment with different algorithms on! Free to use Image. Credits In the part-1 of this two-part blog series, a list of …
Naive-Bayes Inference for Testing
Author(s): Lawrence Alaso Krukrubo Data Science Proof that Testing Accuracy is Simply Not Enough… Source: Pixabay Intro: Probability is the cornerstone of Artificial Intelligence. The management of uncertainty is key to many applications of AI, such as machine learning, filtering, robotics, computer vision, …
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