Nexus
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. Computer Vision Creating an object detection model the streamlined way An in-depth guide on how to create a chess object detection model. Training data is available at my repo. No-code interfaces are revolutionizing the …
The Outlier Story — Leverage and Influential Point in Linear Regression
Author(s): Supriya Ghosh Originally published on Towards AI. Data Science Image by Will Myers on unsplash For understanding any Outliers and Unusual Observations in linear regression, it is important to understand a formal and basic definition of Linear regression. “Linear regression is …
Introduction to MLOps for Data Science
Author(s): Amit Chauhan Originally published on Towards AI. A part of continuous integration, continuous development, and continuous testing This member-only story is on us. Upgrade to access all of Medium. Image Source What is MLOps? If we break down the word itself, …
Feature Selection and Removing in Machine Learning
Author(s): Amit Chauhan Originally published on Towards AI. Improving model and its accuracy for high dimension data This member-only story is on us. Upgrade to access all of Medium. Photo by Franki Chamaki on Unsplash As we know the importance of features …
Adding a pandemic index to the Sales forecast
Author(s): Okoh Anita Originally published on Towards AI. How I adjusted sales demand forecast by developing an index using casual inference This member-only story is on us. Upgrade to access all of Medium. Image from Unsplash 2020 was a shock wave for …
2: Monitoring ML-OPS Guide Series
Author(s): Rashmi Margani Originally published on Towards AI. Machine Learning Concept Drift, Data Drift & Monitoring Fig: https://martinfowler.com/ ML System life cycle The most exciting moment of any machine learning system is when you get to deploy your model, but deploying becomes …
3 Key Things to Land a Graduate Data Scientist Job
Author(s): Egor Howell Originally published on Towards AI. The main three things that got me my graduate Data Science job. This member-only story is on us. Upgrade to access all of Medium. Photo by Cytonn Photography on Unsplash I am just about …
Recommended Articles
Author(s): Amit Chauhan Originally published on Towards AI. Exploratory data analysis with visualization libraries This member-only story is on us. Upgrade to access all of Medium. Photo by Firmbee.com on Unsplash Data visualization is a very important aspect of exploratory data analysis. …
Image Classifier — 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 — 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 — even when limited training data is …
Implement a Neural Network from Scratch with NumPy
Author(s): Dorian Lazar Originally published on Towards AI. Background image source: Wikimedia Commons I think that the best way to really understand how a neural network works is to implement one from scratch. That is exactly what I going to do through …
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