Cassie Kozyrkov 2023-05-31 10:14:34 towardsdatascience.com Why traditional AI has the reliability advantage over generative AI In Part 1 of this series, I said something that I’d thought I’d never say: when we’re dealing with typical enterprise-scale …
What’s wrong with using bar charts
Zvonimir Boban, PhD 2023-05-30 23:52:01 towardsdatascience.com …and possible ways to fix it Image generated by Canva text to image tool Don’t get me wrong, bar charts can be a great tool for data visualization, especially when …
Analyze Amazon SageMaker spend and determine cost optimization opportunities based on usage, Part 4: Training jobs
Deepali Rajale 2023-05-30 12:50:32 aws.amazon.com In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support plan. Since its introduction, we’ve helped hundreds of customers optimize their workloads, set guardrails, and improve …
Analyze Amazon SageMaker spend and determine cost optimization opportunities based on usage, Part 5: Hosting
Deepali Rajale 2023-05-30 12:50:46 aws.amazon.com In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support plan. Since its introduction, we have helped hundreds of customers optimize their workloads, set guardrails, and …
Amazon SageMaker XGBoost now offers fully distributed GPU training
Dhiraj Thakur 2023-05-30 13:29:12 aws.amazon.com Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models …
3 Simple and Powerful Ways This AI Technique Will Transform Data Management | by Hanzala Qureshi | May, 2023
Hanzala Qureshi 2023-05-29 11:06:18 towardsdatascience.com Advances in AI Will Continue to Disrupt the Modern Data Stack. Photo by ALAN DE LA CRUZ on Unsplash Large Language Models (LLM) have been all the rage lately, with the …
Vision-centric Semantic Occupancy Prediction for Autonomous Driving | by Patrick Langechuan Liu | May, 2023
Patrick Langechuan Liu 2023-05-29 11:09:44 towardsdatascience.com A review of the academic “Occupancy Networks” as of 2023H1 One critical pain point of existing 3D object detection methods in autonomous driving is that they typically output concise 3D …
Unsupervised Machine Learning: Explore a List of Models that work without Output Labels
Suhas Maddali 2023-05-26 09:21:32 towardsdatascience.com Learn the underlying working of various unsupervised machine learning models and how they are able to generate predictions without output… Continue reading on Towards Data Science » Source Link
Finding Temporal Patterns in Twitter Posts: Exploratory Data Analysis with Python
Dmitrii Eliuseev 2023-05-26 16:46:42 towardsdatascience.com Clustering of Twitter data with Python, K-Means, and t-SNE Continue reading on Towards Data Science » Source Link
Why are language models everywhere? | by Ajay Halthor | May, 2023
Ajay Halthor 2023-05-26 09:33:52 towardsdatascience.com The answer lies in the 75 years of NLP history Photo by Romain Vignes on Unsplash Have you ever wondered about how we got here with ChatGPT and Large Language Models? …
Run Things in the Background with Julia | by Bence Komarniczky | May, 2023
Bence Komarniczky 2023-05-26 01:53:14 towardsdatascience.com Stop waiting and start multi-threading Photo by Max Wolfs on Unsplash Even though Julia is one of the fastest languages out there, sometimes it can take time for things to execute. …
Accessing and Visualizing Digital Elevation Models with Python | by Parvathy Krishnan
Parvathy Krishnan 2023-05-25 09:53:42 towardsdatascience.com A tutorial in Python with openly available DEM data Photo by Maria Teneva on Unsplash This work was co-authored with Mahdi Fayazbakhsh and Kai Kaiser. All errors and omissions are those …
Delta Lake: Deletion Vectors | by Vitor Teixeira | May, 2023
Vitor Teixeira 2023-05-25 16:37:48 towardsdatascience.com How are deletion vectors related to DML commands and how can they improve write performance? Photo by Sam Pak on Unsplash Being able to update and delete records is a feature …
How OCX Cognition reduced ML model development time from weeks to days and model update time from days to real time using AWS Step Functions and Amazon SageMaker
Brian Curry 2023-05-25 11:24:39 aws.amazon.com This post was co-authored by Brian Curry (Founder and Head of Products at OCX Cognition) and Sandhya MN (Data Science Lead at InfoGain) OCX Cognition is a San Francisco Bay Area-based …
GPT-3.5 Translates Paragraphs Better | by Benjamin Marie | May, 2023
Benjamin Marie 2023-05-25 03:58:56 towardsdatascience.com And outperforms Google Translate for the translation of literary works Image from Pixabay According to previous studies, GPT models perform as well as standard machine translation systems, e.g., Google Translate. These …
Compound Interest and the Exponential Distribution | by Rohit Pandey | May, 2023
Rohit Pandey 2023-05-24 09:28:42 towardsdatascience.com Your mortgage is memory-less and so is the exponential distribution Image generated using midjourney under open source license. There are many interesting events that happen at points in time. For example, …
AI in cybersecurity: Yesterday’s promise, today’s reality
Sridhar Muppidi, IBM Fellow and CTO IBM Security 2023-05-24 10:00:00 www.technologyreview.com Together, the consumerization of AI and advancement of AI use-cases for security are creating the level of trust and efficacy needed for AI to start …
Python for Predicting ED Visits | Healthcare Analytics
Meagan Voulo 2023-05-23 23:42:02 towardsdatascience.com Analyzing social determinants of health (SDOH) with Python 10 min read · 14 hours ago Photo by National Cancer Institute on Unsplash The goal of this project is to use Social …
This AI Paper Shows How Diffusion Models Memorize Individual Images From Their Training Data And Emit Them At Generation Time
Mahmoud Ghorbel 2023-05-23 03:07:47 www.marktechpost.com In recent years, image diffusion models such as DALL-E 2, Imagen, and Stable Diffusion have gained considerable attention for their remarkable ability to generate highly realistic synthetic images. However, alongside their …
When SAM Meets NeRF: This AI Model Can Segment Anything in 3D
Ekrem Çetinkaya 2023-05-22 04:44:41 www.marktechpost.com We are all amazed by the generative AI advancements recently, but that does not mean we do not get any significant breakthroughs in other applications. For example, the computer vision domain …
Mastering ChatGPT: Effective Summarization with LLMs | by Andrea Valenzuela | May, 2023
Andrea Valenzuela 2023-05-22 11:12:25 towardsdatascience.com How to Prompt ChatGPT to get High-Quality Summaries Self-made gif. Are you part of the population that leaves reviews in Google maps everytime you visit to a new restaurant? Or perhaps …
Large-Scale Geospatial Data Analysis with R-Trees
Markus Hubrich 2023-05-21 11:24:30 towardsdatascience.com The Python package Rtree provides an implementation of the R-tree data structure and comes with a number of handy features, such as nearest neighbor searches, intersection searches or multi-dimensional indexes. We …
Microsoft Researchers Introduce Reprompting: An Iterative Sampling Algorithm that Searches for the Chain-of-Thought (CoT) Recipes for a Given Task without Human Intervention
Tanya Malhotra 2023-05-21 23:00:11 www.marktechpost.com In recent times, Large Language Models (LLMs) have evolved and transformed Natural Language Processing with their few-shot prompting techniques. These models have extended their usability in almost every domain, ranging from …
Understanding Gradient Descent for Machine Learning | by Idil Ismiguzel | May, 2023
Idil Ismiguzel 2023-05-21 11:42:50 towardsdatascience.com A deep dive into Batch, Stochastic, and Mini-Batch Gradient Descent algorithms using Python Photo by Lucas Clara on Unsplash Gradient descent is a popular optimization algorithm that is used in machine …
Magic the Gathering Arena: Winning with Probability | by Edward Krueger | May, 2023
Edward Krueger 2023-05-19 14:44:26 towardsdatascience.com How to use probability and excel to win tournaments By: Edward Krueger Data Scientist, Instructor and Founder and Erin Oefelein Data Scientist at Taxwell. Photo by Wayne Low on Unsplash As …
Meet LETI: A New Language Model (LM) Fine-Tuning Paradigm That Explores LM’s Potential To Learn From Textual Interactions
Tanya Malhotra 2023-05-20 22:57:46 www.marktechpost.com With the increasing popularity of Large Language Models (LLMs), new research and advancements are getting introduced almost every day. Using deep learning technologies and the power of Artificial Intelligence, LLMs are …
Unraveling the Design Pattern of Physics-Informed Neural Networks: Part 02
Shuai Guo 2023-05-19 15:10:27 towardsdatascience.com Enhancing PINN training stability through ensemble learning and dynamic solution interval expansion Continue reading on Towards Data Science » Source Link
Mastering Logistic Regression. From theory to implementation in Python | by Dr. Roi Yehoshua | May, 2023
Dr. Roi Yehoshua 2023-05-19 21:06:46 towardsdatascience.com From theory to implementation in Python 16 min read · 15 hours ago Image by Gerd Altmann from Pixabay Logistic regression is one of the most common machine learning algorithms. …
Meet Drag Your GAN: An Interactive Point-based Manipulation on the Generative Image Manifold
Aneesh Tickoo 2023-05-20 04:05:18 www.marktechpost.com Deep generative models, including generative adversarial networks (GANs), have produced random photorealistic pictures with unparalleled success. Controllability over the composite visual material is crucial for learning-based picture synthesis approaches in real-world …
How to Evaluate the Performance of Your ML/ AI Models | by Sara A. Metwalli | May, 2023
Sara A. Metwalli 2023-05-20 00:29:45 towardsdatascience.com An accurate evaluation is the only way to performance improvement Photo by Scott Graham on Unsplash Learning by doing is one of the best approaches to learning anything, from tech …
Unveiling the Dropout Layer: An Essential Tool for Enhancing Neural Networks | by Niklas Lang | May, 2023
Niklas Lang 2023-05-19 15:18:16 towardsdatascience.com Understanding the Dropout Layer: Improving Neural Network Training and Reducing Overfitting with Dropout Regularization Photo by Martin Sanchez on Unsplash The dropout layer is a layer used in the construction of …
Meet MultiModal-GPT: A Vision and Language Model for Multi-Round Dialogue with Humans
Aneesh Tickoo 2023-05-19 04:35:30 www.marktechpost.com Humans engage with the environment in various ways, including through vision and language. Each has a special benefit in expressing and communicating certain ideas about the world and promoting a deeper …
Drivable Space in Autonomous Driving | by Patrick Langechuan Liu | May, 2023
Patrick Langechuan Liu 2023-05-18 14:48:23 towardsdatascience.com Recent trends in academic research on drivable space as of 2023 Drivable space, or Free Space, plays a safety-critical role in autonomous driving. In a previous blog post, we reviewed …
Announcing the updated Microsoft SharePoint connector (V2.0) for Amazon Kendra
Udaya Jaladi 2023-05-18 13:25:03 aws.amazon.com Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). Amazon Kendra offers a suite of data source connectors to simplify the process of ingesting …
Get Temperature Data by Location with Python | by Gustavo Santos | May, 2023
Gustavo Santos 2023-05-18 09:10:08 towardsdatascience.com Retrieve historical temperature data by latitude and longitude. Photo by Tom Barrett on Unsplash I have been working on some projects when I needed to find the average temperature by location …
Researchers From China Propose a Generate-and-Edit Approach that Utilizes Execution Results of the Generated Code from LLMs to Improve the Code Quality in the Competitive Programming Task
Aneesh Tickoo 2023-05-18 07:04:34 www.marktechpost.com Researchers draw inspiration from the process of human programming to help LLMs do better in competitive programming jobs. The competitive programming job has recently been applied to large language models. This …