This AI newsletter is all you need #56
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week we saw several new competitors in the world of LLMs, in both open-source and closed models. Despite its impressive capabilities, the first …
Deep Dive Into Error Bar Visualization
Author(s): Cornellius Yudha Wijaya Originally published on Towards AI. Breaking down the fundamental of the error bar Photo by Sarah Kilian on Unsplash Data visualization is a tool for data people to simplify information in a way that humans would understand. The …
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 …
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 …
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 …
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 …
Zero-shot Learning Deep Dive: How to Select One and Present-day Challenges
Author(s): Anil Tilbe Originally published on Towards AI. How to build the learning into a zero-shot classifier with just a few hundred labeled instances per class? First, we have to clarify at a high level the difference between zero-shot learning and deep …
Inside NLLB-200, Meta AI’ New Super Model that Achieved New Milestones in Machine Translations Across 200 Languages
Author(s): Jesus Rodriguez Originally published on Towards AI. One of the most important achievements to bring machine translation to low-resource languages. Source: https://gigazine.net/gsc_news/en/20220707-meta-nllb-200/ I recently started an AI-focused educational newsletter, that already has over 125,000 subscribers. TheSequence is a no-BS (meaning no …
Master Data Wrangling First: Top 20 Python Libraries + Best Practices
Author(s): Anil Tilbe Originally published on Towards AI. Processes, approaches, Top 20 libraries, along with important best practices — how to do it all with Python By Pixabay from Pexels Data Wrangling is transforming data from one format to another. Python is …
The Quality of Projects in your Portfolio Matters a Lot when Applying for Data Scientist or Machine Learning Engineer Positions
Author(s): Suhas Maddali Originally published on Towards AI. The real-world impact that a project makes with the use of machine learning and data science can be a game changer when it comes to interviewing for data science and machine learning related positions. …
Regression Analysis Is Exceedingly Difficult: How to Master It Without Coding
Author(s): Anil Tilbe Originally published on Towards AI. Achieve a strong foundational understanding of the key concepts, 3 battle-tested models, and 3 challenges with regression analysis By Jukan Tateisi from Unsplash Regression analysis is a technique that can be used to [10] …
Unstructured vs. Structured Data: The 5 Most Important Differences
Author(s): Anil Tilbe Originally published on Towards AI. A breakdown of structured data, and unstructured data, the advantages of each, and how to deploy them together simultaneously for your use cases By Dietmar Becker from Unsplash A basic definition of structured data: …
The Future of AI Is Quantum Computing: 10 of the Most Important Use Cases
Author(s): Anil Tilbe Originally published on Towards AI. A comprehensive but abridged explanation of the intersection of AI and quantum computing (with use cases and challenges) By Erik Mclean from Pexels Quantum computing is still in its early stages [13], potentially impacting …
Bayesian Inference: The Best 5 Models and 10 Best Practices for Machine Learning
Author(s): Anil Tilbe Originally published on Towards AI. The advantages, top 5 models, and top 10 best practices for applying Bayesian inference to machine learning problems From Pixabay Bayesian inference is a popular machine learning technique that allows for an algorithm to …
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