Logo: 
Areas Served: A Guide to Computational Linguistics and Conversational AI
Author(s): Suvrat Arora Originally published on Towards AI. Hey Siri, How’s the weather today? — if this statement sounds familiar, you are not foreign to the field of computational linguistics and conversational AI. Source: Creative Commons In recent years, we have seen …
Correlation and Causation: What are the Differences?
Author(s): Cornellius Yudha Wijaya Originally published on Towards AI. Learn the differences between both concepts Photo by Sam Moghadam Khamseh on Unsplash In statistics and data science, we often encounter correlation and causation terms. Albeit, the correlation was mentioned more often …
Implementing KNN Classification with TensorlFlow.js
Author(s): Jesse Langford Originally published on Towards AI. By New Africa In this article, I will show how to implement a K-Nearest Neighbor classification with Tensorflow.js. TensorFlow.js is an open-source library for machine learning, capable of running in the browser or on …
PCA: Bioinformaticians Favorite Tool Can Be Misleading
Author(s): Salvatore Raieli Originally published on Towards AI. PCA: Bioinformatician’s Favorite Tool Can Be MisleadingA new study assesses how a most used technique can be problematicPhoto by NASA on Unsplash The principal component analysis (PCA)is a popular machine learning technique used for …
How Can Hardcoded Rules Overperform ML?
Author(s): Ivan Reznikov Originally published on Towards AI. I have a confession to make. When I was younger, I was sure that ML could, if not overperform, at least match the pre-ML-era solutions almost everywhere. I’ve looked at rule constraints in deployment …
Navigating the World of Data Engineering: A Beginners Guide.
Author(s): Data Science meets Cyber Security Originally published on Towards AI. Navigating the World of Data Engineering: A Beginner’s Guide. A GLIMPSE OF DATA ENGINEERING ❤ IMAGE SOURCE: BY AUTHOR Data or data? No matter how you read or pronounce it, data …
Mastering Pandas: 21 Pandas Tips Every Data Scientist Should Know
Author(s): Fares Sayah Originally published on Towards AI. Maximize Your Pandas Skills: Essential Tips and Tricks for Mastering Data Manipulation Photo by Pascal Müller on Unsplash Whether you’re a beginner or an experienced data analyst, the 21 tips and tricks covered in …
Microsoft Laid off Entire Ethics Team
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. After an 11 billion dollar investment in the State of the art technology in AI, Microsoft’s decision to lay off the Ethics team sheds doubt on its commitment to responsible AI. …
Real-Time Data Linkage via Linked Data Event Streams
Author(s): Samuel Van Ackere Originally published on Towards AI. Seamless and efficient interlinking of a data stream across various domains and applications Photo by Toa Heftiba on Unsplash Real-time interchanging data across domains and applications is challenging; data format incompatibility, latency and …
I used Strava and Tableau to Prepare a Competition
Author(s): Edoardo Bianchi Originally published on Towards AI. How I Used the Strava API, and Tableau To Prepare a Trail Run CompetitionA data-driven approach to visualize progress and improve performance over timeMe crossing the finish line. Image by the author. Four months …
GPT-4 is Released: Everything We Currently Know About OpenAIs Latest Language Model
Author(s): Youssef Hosni Originally published on Towards AI. GPT-4 is Released: Everything We Currently Know About OpenAI’s Latest Language Model GPT-4 is the latest milestone in OpenAI’s effort to scale up deep learning. GPT-4 is a large multimodal model (accepting image and …
Python Statistical Analysis: Measures of central tendency and dispersion
Author(s): MicroBioscopicData Originally published on Towards AI. Welcome to this tutorial on measures of central tendency and spread with Python. In this tutorial, we will explore the different measures of central tendency, including mean, median, and mode, and how to calculate them …
Breaking Down the Central Limit Theorem: What You Need to Know
Author(s): Chinmay Bhalerao Originally published on Towards AI. The Importance of the Central Limit Theorem in Statistical Inference Photo by Tomas Eidsvold on Unsplash Even if you are not normal, the average is normal !!!! –Josh Starmer The central limit theorem is …
PyTorch Wrapper to Build and Train Neural Networks
Author(s): Rokas Liuberskis Originally published on Towards AI. I will introduce the PyTorch Wrapper in this tutorial, saving us time when developing the PyTorch models training pipeline. We’ll be able to do this in blocks! The Most Advanced Data Science Roadmaps You’ve …
Maximizing the Impact of Data Augmentation: Effective Techniques and Best Practices
Author(s): Youssef Hosni Originally published on Towards AI. Data augmentation is a popular technique in machine learning that involves creating new data from existing data by making various modifications to it. These modifications could include adding noise, flipping images horizontally, or changing …
Popular posts
Updates
Recent Posts
