How to Negotiate Your Salary as a Data Scientist | by Haden Pelletier | Oct, 2024
And how much I made my first yearPhoto by Amy Hirschi on UnsplashCongratulations, you have landed a data science position!You...
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Transitioning from Amazon Rekognition people pathing: Exploring other alternatives
Amazon Rekognition people pathing is a machine learning (ML)–based capability of Amazon Rekognition Video that users can use to understand...
Oversampling and Undersampling, Explained: A Visual Guide with Mini 2D Dataset | by Samy Baladram | Oct, 2024
DATA PREPROCESSINGArtificially generating and deleting data for the greater good⛳️ More DATA PREPROCESSING, explained: · Missing Value Imputation · Categorical...
Create a generative AI-based application builder assistant using Amazon Bedrock Agents
In this post, we set up an agent using Amazon Bedrock Agents to act as a software application builder assistant....
Gen-AI Safety Landscape: A Guide to the Mitigation Stack for Text-to-Image Models | by Trupti Bavalatti | Oct, 2024
There is also a large area of risk as documented in where marginalized groups are associated with harmful connotations reinforcing...
Enhance your Amazon Redshift cloud data warehouse with easier, simpler, and faster machine learning using Amazon SageMaker Canvas
Machine learning (ML) helps organizations to increase revenue, drive business growth, and reduce costs by optimizing core business functions such...
Meet Git Stash: Your Secret Chest of Unfinished Code | by Zolzaya Luvsandorj | Oct, 2024
Mastering GitA powerful Git feature for temporarily saving code in progressImagine discovering a critical bug that needs an immediate fix...
How Planview built a scalable AI Assistant for portfolio and project management using Amazon Bedrock
This post is co-written with Lee Rehwinkel from Planview. Businesses today face numerous challenges in managing intricate projects and programs,...
Neural Networks for Flexible Multivariate Forecasting | by Lucas See | Oct, 2024
An easy step-by-step guide to getting started with Neural Networks for Time Series ForecastingPhoto by Aron Visuals on UnsplashForecasting multiple...
From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 1
The AWS Generative AI Innovation Center (GenAIIC) is a team of AWS science and strategy experts who have deep knowledge...
4 Years of Data Science in 8 Minutes | by Egor Howell | Oct, 2024
What I have learned in my 4+ year journey of studying data sciencePhoto by Greg Rosenke on UnsplashI have been...
Super charge your LLMs with RAG at scale using AWS Glue for Apache Spark
Large language models (LLMs) are very large deep-learning models that are pre-trained on vast amounts of data. LLMs are incredibly...
Successful AI Ethics & Governance at Scale: Bridging The Interpretation Gap | by Jason Tamara Widjaja | Oct, 2024
AI ethics and governance has become a noisy space.At last count, the OECD tracker counts over 1,800 national-level documents on...
Next-generation learning experience using Amazon Bedrock and Anthropic’s Claude: Innovation from Classworks
This post is co-written with Jerry Henley, Hans Buchheim and Roy Gunter from Classworks. Classworks is an online teacher and...
🚪🚪🐐 Lessons in Decision Making from the Monty Hall Problem | by Eyal Kazin | Oct, 2024
A journey into three intuitions: Common, Bayesian and CausalGenerated using Gemini Imagen 3The Monty Hall Problem is a well-known brain...
