Manipulate Images with Blobs! BlobGAN Explained
Author(s): Louis Bouchard Originally published on Towards AI. A GAN model that uses simple blobs to manipulate objects in images… Originally published on louisbouchard.ai, read it 2 days before on my blog! If you think that the progress with GANs was over, …
Fake Reviews: Maybe You Should Be Worried About AI’s Writing (and Reading) Skills
Author(s): Dora Cee Originally published on Towards AI. In a recent, rather troubling, study humans could detect fake reviews with a measly 55.36% success rate. As for AI? It boasted a 96.64% accuracy. Fake reviews have become a steady crutch for many …
PyScript Is Ok-ish To Make Your Pages Interactive, but Only as a Last Resource if You Don’t Know Any Javascript
Author(s): LucianoSphere Originally published on Towards AI. PyScript is too slow and heavy, and it doesn’t support all the features and libraries you may want to use. There’s been a lot of hype these days about the possibility of running Python code …
HydraSum: Disentangling Stylistic Features in Text Summarization… (Paper Review/Described)
Author(s): Ala Alam Falaki Originally published on Towards AI. Training Is it possible to train a model with transformer architecture to learn generating summaries with different styles? Figure 1. The multi-decoder architecture scheme. (Image from [1]) While it’s true that deep learning …
MITACS Globalink Research Internship | How to get one?
Author(s): Raman Jha Originally published on Towards AI. MITACS Globalink Research Internship U+007C How to get one? Mitacs Globalink Research Internship Let me introduce myself first. Hey there, I am Raman Jha, a junior year Bachelor of Engineering student at D Y …
Forecasting Time Series Data: Netflix Stock Price Prediction
Author(s): Alison Yuhan Yao Originally published on Towards AI. ARIMA-(G)ARCH models with MiniTab and R Photo by Jake Hills on Unsplash The Netflix stock price has been quite volatile recently, which makes the prediction of the time series data very interesting. In …
Learnings From Participation in My First Health Datathon
Author(s): Carla Martins Originally published on Towards AI. 4th Datathon ESICM 2022 In May 2022, and for the first time, I enrolled in a Health Datathon organized by ESICM (European Society of Intensive Care Medicine). This was my first Datathon, and a …
Scrap LinkedIn Data To Find the Best Degrees for Data Science
Author(s): Asish Biswas Originally published on Towards AI. Guide To Data Cleaning: Definition, Benefits, Components, And How To Clean Your Data Photo by Jamie Street on Unsplash People want to know what degree one should obtain to break into the world of …
How to collect free-text feedback: an introduction for a data scientist
Author(s): Anil Tilbe Originally published on Towards AI. Understand how to develop technical learning systems to collect free-text, open-ended responses from users. Photo by Emily Morter from Unsplash To truly understand the type of measurement framework to implement for how to solicit …
Databricks MLflow Tracking For Linear Regression Model
Author(s): Amy @GrabNGoInfo Originally published on Towards AI. Join Medium with my referral link – Amy @GrabNGoInfo How to use MLflow to track different model versions and retrieve experiment information? Photo by Solen Feyissa on Unsplash MLflow is an open-source platform for …
Wrapper for WIN32 Package Part-1
Author(s): Bala Gopal Reddy Peddireddy Originally published on Towards AI. An automated code to modify the Macro-Enabled Excel files using python….! Photo by Juliana Malta on Unsplash What Is Win32? Win32 is the Application Programming Interface for 32-bit as well as 64-bit …
ArgMiner: End-to-End Argument Mining
Author(s): Yousef Nami Originally published on Towards AI. A PyTorch-based package for processing, augmenting, training, and performing inference on SOTA Argument Mining datasets A pictorial representation of the task of Argument Mining Argument Mining (AM) is the task of extracting argument components …
How To Train a Seq2Seq Summarization Model Using “BERT” as Both Encoder and Decoder!! (BERT2BERT)
Author(s): Ala Alam Falaki Originally published on Towards AI. BERT is a well-known and powerful pre-trained “encoder” model. Let’s see how we can use it as a “decoder” to form an encoder-decoder architecture. Photo by Aaron Burden on Unsplash The Transformer architecture …
XGBoost: Its Present-day Powers and Use Cases for Machine Learning
Author(s): Anil Tilbe Originally published on Towards AI. Being that XGBoost achieves implementations with the ability to handle missing values, which are one of the major drawbacks in most of the other algorithms, scalabilities, not just time-efficiencies, are very promising for the …
NLP using DeepLearning Tutorials: A Sentiment Classifier based on perceptron (Part 4/4)
Author(s): Abdelkader Rhouati Originally published on Towards AI. Evaluation of test data This image is uploaded from source Natural Language Processing is one of the most complicated fields of machine learning, basically due to the complexity and ambiguity of the language. However, …
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