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 Β» Published via Towards AI …
Build Floating Movie Recommendations using Deep LearningβββDIY in <10 Mins
Author(s): Ravi Shankar Recommendations served on your own Webapp.com, Watch on Netflix.com Continue reading on Towards AI Β» Published via Towards AI …
The First Rule About AI Club: You Donβt Talk About AI
Author(s): Massimiliano Costacurta Artificial Intelligence, Opinion How focusing on decisions can help you productionize you next AIΒ 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 domainsβββPart 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.Β 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 NotΒ Enoughβ¦ 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, …
Text Augmentation for detecting spear-phishing emails
Author(s): Edward Ma Natural Language Processing Text Augmentation for Detecting Spear-phishing Emails Text augmentation techniques for phishing email detection Photo by James Wheeler onΒ Unsplash Information security is very important for any organization. Lost money is a minor problem, the serious one is …
Creating a Web App with Streamlit: Getting Started
Author(s): Mahbubul Alam A 10-part bite-sized series on creating web apps Continue reading on Towards AI Β» Published via Towards AI …
Model Overfitting? Use L2 Regularization!
Author(s): Danyal Jamil Use this to enhance your Deep Learning models! Continue reading on Towards AI Β» Published via Towards AI …
Simple Linear Regression Tutorial for Machine Learning (ML)
Author(s): Pratik Shukla, Roberto Iriondo Source: Image by the Author. Diving into calculating a simple linear regression and linear best fit with code examples in Python and math in detail This tutorialβs code is available on Github and its full implementation as …
Image Classifier β Zalando Clothing Store using Monk Library
Author(s): Vidya Originally published on Towards AI. Computer Vision This tutorial is about image classification on the Zalando Clothing Store dataset using Monk Library. In this dataset, there are high-res, color, and diverse images of clothing and models. Tutorial available on GitHub. …
Create Your Own Harry Potter Short Story Using RNNs and TensorFlow
Author(s): Amisha Jodhani Originally published on Towards AI. What is an RNN? Photo by Rae Tian on Unsplash Still, waiting for your Hogwarts letter? Want to enjoy the feast in the Great Hall? Explore the secret passages in Hogwarts?Buy your first wand …
Dealing with Class Imbalance β Dummy Classifiers
Author(s): Abhijeet Sahoo Originally published on Towards AI. Image credit: https://datascience.aero/ Let me paint a picture for you, you are a beginner to the field of Data Science and have started making your first ML model for predictions and found the accuracy …
This AI Can Generate the Other Half of a Picture Using a GPT Model
Author(s): Louis Bouchard Originally published on Towards AI. A good AI, like the one used in Gmail, can generate coherent text and finish your phrase. This one uses the same principles in order to complete an image! All done in an unsupervised …
The Limits of Deep Learning
Author(s): Frederik Bussler Originally published on Towards AI. Deep Learning: Diminishing Returns? – Semiwiki Photo by Luca Ambrosi on Unsplash GPT-3, the latest state-of-the-art in Deep Learning, achieved incredible results in a range of language tasks without additional training. The main difference …
What is the practical impact?
Author(s): Francisco Utrera Originally published on Towards AI. We discovered a novel way to use adversarially-trained deep neural networks (DNNs) in the context of transfer learning to quickly achieve higher accuracy on image classification tasks β even when limited training data is …