GPT-3 for Corporates — Is Data Privacy an Issue?
Author(s): Shubham Saboo Natural Language Processing GPT-3 for Corporates — Is Data Privacy an Issue? GPT-3 is transforming the way how businesses can leverage AI to empower the existing products and come up with the next-gen of product offerings. In this 21'st century, data privacy …
NLP using Deep Learning Tutorials : Understand Loss Function
Author(s): Abdelkader Rhouati This article is a part of a series that I’m writing, and where I will try to address the topic of using Deep Learning in NLP. First of all… Continue reading on Towards AI » Published via Towards AI …
Breakthrough: Can Giving Memory to Entire Neural Nets be Revolutionary?
Author(s): Joy Lunkad What is it? This can be best explained with a very straightforward and simple example. Imagine if the AI is a student going through a book(dataset) and preparing for a test. All I am doing here is I tried giving it …
We Don’t Need To Worry About Overfitting Anymore
Author(s): Sean Benhur J Machine Learning We Don’t Need To Worry About Overfitting Anymore Photo by Mohamed Nohassi on Unsplash Motivated by prior work connecting the geometry of the loss landscape and generalization, we introduce a novel, effective procedure for instead simulta- neously …
The Centralization Challenges of Modern Artificial Intelligence
Author(s): Jesus Rodriguez Decentralized AI is far from becoming mainstream but its addressing many important challenges of the current generation of AI technologies… Continue reading on Towards AI » Published via Towards AI …
Data Wrangling With Python — Part 1
Author(s): Amit Chauhan Useful transformation methods in data science Continue reading on Towards AI » Published via Towards AI …
Cracking Open Bitcoin with Artificial Intelligence
Author(s): Sean Jude Lyons Visualising SHA256 Continue reading on Towards AI » Published via Towards AI …
Here’s How Good GPT-3 Fares As A Creative Writer
Author(s): keypressingmonkey It is honestly quite frightening Continue reading on Towards AI » Published via Towards AI …
Breast Cancer Prediction with Geometric Mean Classification with Probabilistic Optimization
Author(s): Ashutosh Malgaonkar This article will talk about predicting Breast Cancer Diagnosis based on the UCI Machine Learning Dataset which can be downloaded at this… Continue reading on Towards AI » Published via Towards AI …
Data Science 101: Guide to Using Pipelines in Python
Author(s): Janaki Viswanathan A comprehensive guide to using Pipelines in Python Continue reading on Towards AI » Published via Towards AI …
Introduction to PySpark via AWS EMR and Hands-on EDA
Author(s): Kunj Mehta Performing EDA on NY Taxi Fare Dataset to see PySpark in action — because cloud computing is the next big thing! Continue reading on Towards AI » Published via Towards AI …
How I Screwed up a HackerRank Test With a Line of Code
Author(s): Michelangiolo Mazzeschi Click here to get to know me, my projects, and my latest articles. One week ago I was very excited after getting accepted to a coding test for a company I was applying to. I spent the last …
NLP-Aided Systematic Literature Review: Why It’s Needed and How It Works
Author(s): Gaugarin Oliver Natural Language Processing Answering a specific, clearly defined research question from the massive amount of healthcare-related scholarly and clinical literature in existence can be extremely challenging. Yet that’s precisely the goal of systematic literature reviews (SLRs) in health care, …
Speed up EDA With the Intelligent Lux
Author(s): Pranavi Duvva Image by Colin Behrens from Pixabay Data Analysis Automate your visual data exploration with the new python library, Lux 💡. Have you ever been tired of writing multiple lines of code even for a simple graph during EDA? Did you ever wish …
K-Nearest Neighbors (KNN) Algorithm Tutorial — Machine Learning Basics
Author(s): Sujan Shirol, Husna Sayedi, Roberto Iriondo The image is a screenshot of the COVIDCAST application, an open-source project by the Delphi Research Group at Carnegie Mellon University. Diving into K-nearest neighbor, a fundamental classical machine learning (ML) algorithm Join us ↓ …
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