From Lidar to 3D Renders — Waymo and Google Research
Author(s): Louis Bouchard Originally published on Towards AI. Combine Lidar and regular cameras for 3D object detection! This member-only story is on us. Upgrade to access all of Medium. Originally published on louisbouchard.ai, read it 2 days before on my blog! How …
DBT — The One Tool To Rule Them All
Author(s): Sarah Floris Originally published on Towards AI. 1. dbt-codegen⁴ This member-only story is on us. Upgrade to access all of Medium. Data Build Tool (DBT) gets you reliably better data quality. Photo by Pankaj Patel on Unsplash Figuring out what is …
Simple Text Classifier With Basic Machine Learning Model (Part-5)
Author(s): Md. Zubair Originally published on Towards AI. The easiest way to create a text classifier with a basic Machine Learning model for beginners This member-only story is on us. Upgrade to access all of Medium. Image by Author When I get …
Understanding Type-I and Type-II Errors in Hypothesis Testing
Author(s): Deepak Chopra | Talking Data Science Originally published on Towards AI. An under-the-hood look into the concepts that underpin the all-important statistical hypothesis testing. This member-only story is on us. Upgrade to access all of Medium. (image by author) Knowingly or …
Data-centric vs. model-centric
Author(s): Paul Dovidavicius Originally published on Towards AI. Data-Centric AI: Decoding the Hype Data-centric approaches to Model Centric-focus on AI Photo by fauxels from Pexels The database and its impact on the quality of ML-based solutions provide different sessions, and it’s important …
Why not Linear Regression?
Author(s): Akash Dawari Originally published on Towards AI. All About Logistic Regression In this article we will understand Logistic Regression and try to answer the following questions: What is Logistic Regression? Why not Linear Regression? Why Logistic Regression? When Logistic Regression? How …
Support Vector Machine (SVM) for Binary and Multi-Class Classification: Hands-On with Scikit-Learn
Author(s): Carla Martins Originally published on Towards AI. Using Python and Google Colab This member-only story is on us. Upgrade to access all of Medium. Support Vector Machine (SVM) is a classification algorithm based on the linear model. It allows for binary …
Regression Model in Weight Prediction
Author(s): Gencay I. Originally published on Towards AI. Simple Linear Regression to Predict your Weight This member-only story is on us. Upgrade to access all of Medium. Machine Learning Model Prediction Image by Author Data scientists have known too many industrial applications …
Use Google Colab Like A Pro
Author(s): Wing Poon Originally published on Towards AI. 15 tips to supercharge your productivity Image by Alexander on Pixabay (modified by author) Regardless of whether you’re a Free, Pro, or Pro+ user, we all love Colab for the resources and ease of …
9 Lessons From the Tesla AI Team
Author(s): Gary Chan Originally published on Towards AI. Top highlight What contributes to the success of Tesla, and what you can do While OpenAI is famous for its success in NLP and DeepMind is well known for RL and decision making, Tesla …
Linear Regression With PyTorch in Python
Author(s): Amit Chauhan Originally published on Towards AI. Deep Learning framework for Machine Learning applications This member-only story is on us. Upgrade to access all of Medium. Photo by Emile Perron on Unsplash In this article, we will create a linear regression …
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization (Paper Review/Explained)
Author(s): Ala Alam Falaki Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Figure 1. The overall introduced architecture by the paper. (taken from [1]) This paper was published in June 2021, not relatively …
VQ-GAN & Transformer — Taming Transformers for High-Resolution Image Synthesis: Synopsis
Author(s): Rohan Wadhawan Originally published on Towards AI. Summary This post summarizes the work “Taming Transformers for High-Resolution Image Synthesis” by Patrick Esser, Robin Rombach, and Björn Ommer. It highlights the key take-home messages, the scope of improvement, and the applications of …
Make Extra Money on the Side With Data Science!
Author(s): Marie Stephen Leo Originally published on Towards AI. Monetize your Machine Learning models using FastAPI, Docker, GCP Cloud Run, and Rapid API in 5 easy steps! This member-only story is on us. Upgrade to access all of Medium. Photo by Alexander …
Original Research to Predict Prime Numbers — Error Convergence Using Data Science
Author(s): Ashutosh Malgaonkar Originally published on Towards AI. Using Python to Unlock the Prime Number Pattern Top highlight This member-only story is on us. Upgrade to access all of Medium. I. Sample of primes between 0 and 103(excluded) II. Modular Indexing the …
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