Getting Started with Titanic Kaggle | Part 2
Author(s): Durgesh Samariya Originally published on Towards AI. Let’s develop a model to predict Titanic’s challenge with Kaggle Source: National Geographic In the last post, we started working on the Titanic Kaggle competition. If you haven’t read that yet, you can read …
NLP News Cypher | 08.09.20
Author(s): Ricky Costa Originally published on Towards AI. Photo by Kunal Shinde on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher U+007C 08.09.20 Forge Where are we? What is the state of NLP? Are we anywhere where we want to …
An Overview of Multilabel Classifications
Author(s): Abhijit Roy Originally published on Towards AI. Photo by Irvan Smith on Unsplash Machine Learning How can we classify an instance as multiple classes? We are very familiar with the single-label classification problems. We mostly come across binary and multiclass classifications. …
This New Startup Is Designed to Take Down AWS and DevOps Jobs
Author(s): Shubh Patni Originally published on Towards AI. Photo by Thao Le Hoang on Unsplash Are you a founder or running your business on the cloud? Are you frustrated with your recurring cloud maintenance, DevOps salaries, and cloud costs? Render is a …
How Tesla has been Optimizing its Software and Hardware for FSD Capabilities and a Hyper Efficient Robo-Taxi Fleet?
Author(s): Sandeep Aswathnarayana Originally published on Towards AI. Computer Vision, Self Driving Cars FSD Chip Tour, Solving the Vision Problem, Fleet Learning using Data Engine, Object Detection using Vector Space, Sensor Redundancy, Shadow Mode, Robo-Taxi Cost Model, and more. The Long Tail …
PopTheBubble — A Product Idea for Measuring Media Bias
Author(s): Sanghamesh Vastrad Originally published on Towards AI. Product Management A Product Manager’s Perspective on building a Crowdsourced Media Bias Tracker and Anonymous Political News Aggregator Photo by airfocus on Unsplash A couple of months ago, I decided to try something new. …
NLP News Cypher | 08.23.20
Author(s): Ricky Costa Originally published on Towards AI. Photo by adrianna geo on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher U+007C 08.23.20 Fury What a week. Let’s recap. If you haven’t heard, we released the NLP Model Forge U+1F648 …
Create your Mini-Word-Embedding from Scratch using Pytorch
Author(s): Balakrishnakumar V Originally published on Towards AI. 1. CBOW : Illustration by Author On a lighter note, the embedding of a particular word (In Higher Dimension) is nothing but a vector representation of that word (In Lower Dimension). Where words with …
How Branchless Programming Can Speed Up Excel
Author(s): Ashutosh Malgaonkar Originally published on Towards AI. An Example of Branchless Logic Using Excel for Classification Source: Unsplash This is an article that uses the IRIS flowers dataset and the geometric mean classifier as an example to introduce the application of …
Predicting Heart Failure Survival with Machine Learning Models — Part II
Author(s): Anirudh Chandra Originally published on Towards AI. Photo by Jair Lázaro on Unsplash The second part of the step-by-step walk-through to analyze and predict the survival of heart failure patients. Preface In the previous post, we looked at the heart failure …
Underwater Trash Detection using Opensource Monk Toolkit
Author(s): Abhishek Annamraju Originally published on Towards AI. Computer Vision The entire code for this application is available in Monk Object Detection Library’s Application Model Zoo Introduction Underwater Waste is a huge environmental problem affecting aquatic habitat drastically. Marine debris includes plastic, …
Azure Cognitive Services Sentiment Analysis v3.0 using Databricks PySpark
Author(s): Rory McManus Originally published on Towards AI. Cloud Computing, Natural Language Processing Azure Cognitive Services Text Analytics is a great tool you can use to quickly evaluate a text data set for positive or negative sentiment. For example, a service provider …
ECCV 2020 Best Paper Award | A New Architecture For Optical Flow
Author(s): Louis Bouchard Originally published on Towards AI. Paper’s introduction Photo by Cris Ovalle on Unsplash ECCV 2020 Best Paper Award Goes to Princeton Team.They developed a new end-to-end trainable model for optical flow.Their method beats state-of-the-art architectures’ accuracy across multiple datasets …
NLP News Cypher | 09.06.20
Author(s): Ricky Costa Originally published on Towards AI. Ivan Aivazovsky — Istanbul NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher U+007C 09.06.20 Revival Welcome back, and what a week?!?! Time to say goodbye to Summer. U+1F631 Oh, and please don’t forget …
Supermasks: A Simple Introduction and Implementation in PyTorch
Author(s): Kourosh T. Baghaei Originally published on Towards AI. The general understanding of neural networks is that computations are required in order to adjust the weights of a neural network so that it could perform a certain task on a given dataset. …
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