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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 …
COVID-19 Lockdown Impact Analysis
Author(s): Saiteja Kura Originally published on Towards AI. Analyze how the COVID-19 lockdown has effected daily movement using Google’s Community Mobility data. Photo by Falaq Lazuardi on Unsplash LOCKDOWN! I never heard of this word until March 2020. I was startled by …
Python Basics — 3: If Statements, User Input, While Loop
Author(s): Durgesh Samariya Originally published on Towards AI. Day 3 of 100 Days of Machine Learning Photo by Pakata Goh on UnsplashIf StatementConditional TestsIf-Elif-Else StatementUser InputWhile LoopBreak and Continue in the loop If statements are used to check conditions. Let’s have a …
Automation Using Google-Assistant
Author(s): Santhosh Bandaru Originally published on Towards AI. Technology Automating our home appliances is a bit interesting. So let’s see how we can automate them with google-assistant. from shutterstock.com If you are an excited geek and want to automate your home, here …
Local Binary Pattern for The Evaluation of Surface Quality of Dissimilar Friction Stir Welded Joints
Author(s): Akshansh Mishra Originally published on Towards AI. Engineering, Machine Learning Local Binary Pattern for The Evaluation of Surface Quality of Dissimilar Friction Stir Welded Joints Friction Stir Welding process is an advanced solid-state joining process which finds application in various industries …
Bias & Variance in Machine Learning
Author(s): Shaurya Lalwani Originally published on Towards AI. Photo by Etienne Girardet on Unsplash Linear Regression is a machine learning algorithm that is used to predict a quantitative target, with the help of independent variables that are modeled in a linear manner, …
Google Stock prediction using Multivariate LSTM Neural Network
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. Interpolation Not long ago I published a similar article on how to use LSTMs to make Stock predictions using a Vanilla Neural Network. Because I wanted to minimize the complexity of the problem, I …
NLP News Cypher | 07.26.20
Author(s): Ricky Costa Originally published on Towards AI. Photo by Will Truettner on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher U+007C 07.26.20 Primus The Liber Primus is unsolved to this day. A book of 58 pages written in Runes, …
Introduction
Author(s): Palak Originally published on Towards AI. Intuitive Approach Photo by Zdeněk Macháček on Unsplash K-nearest neighbors(in short KNNs) are a robust yet straightforward supervised machine learning algorithm. Though its regression variant also exists, we’ll only discuss its classification form. KNN is …
Introduction
Author(s): Odemakinde Elisha Originally published on Towards AI. Data Analytics, Machine Learning Utilization of Dask ML Framework for Fraud Detection —End-to-end Data Analytics Photo by Michael Longmire on Unsplash Fraudulent activities have become a rampant activity that has aroused a lot of …
Data Visualization using Pandas, NumPy, and Matplotlib Python Libraries
Author(s): Likhitha kakanuru Originally published on Towards AI. Data Visualization To analyze which students secured the highest percentage in subjects like mathematics, physics, and chemistry we require a bar graph to display it. There are many ways to explore datasets. But in …
Time Series Prediction using Adaptive Filtering
Author(s): Satsawat Natakarnkitkul Originally published on Towards AI. Simple implementation example Adaptive filtering is a computational device that attempts to model the relationship between two signals, whose coefficients change with an objective to make the filter converge to an optimal state. The …
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