Books, Computer Science and Data Preparation

Implementing Approximate Nearest Neighbor Search with KD-Trees

PyImageSearch

DECEMBER 23, 2024

For example, the relevant words to query the word "computer" might look like "desktop" , "laptop" , "keyboard" , "device" , etc. We will start by setting up libraries and data preparation. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Thats not the case.

K-nearest Neighbors

K-nearest Neighbors Algorithm Deep Learning Deep Learning

Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

AWS Machine Learning Blog

NOVEMBER 1, 2024

We discuss the important components of fine-tuning, including use case definition, data preparation, model customization, and performance evaluation. This post dives deep into key aspects such as hyperparameter optimization, data cleaning techniques, and the effectiveness of fine-tuning compared to base models.

Data Preparation

Data Preparation Machine Learning Machine Learning ML

Best practices for Meta Llama 3.2 multimodal fine-tuning on Amazon Bedrock

AWS Machine Learning Blog

MAY 1, 2025

Best practices for data preparation The quality and structure of your training data fundamentally determine the success of fine-tuning. Our experiments revealed several critical insights for preparing effective multimodal datasets: Data structure You should use a single image per example rather than multiple images.

AWS

AWS ML ML AI

Webinars

Precision in Motion: Why Process Optimization Is the Future of Manufacturing

Airflow Best Practices for ETL/ELT Pipelines

MORE WEBINARS

15 Fan-Favorite Speakers & Instructors Returning for ODSC East 2025

ODSC - Open Data Science

MARCH 18, 2025

Allen Downey, PhD, Principal Data Scientist at PyMCLabs Allen is the author of several booksincluding Think Python, Think Bayes, and Probably Overthinking Itand a blog about data science and Bayesian statistics. in computer science from the University of California, Berkeley; and Bachelors and Masters degrees fromMIT.

Data Science

Data Science Machine Learning Machine Learning Data Scientist

Ask HN: Who is hiring? (July 2025)

Hacker News

JULY 1, 2025

We value super strongly transparency, do open books, have a public roadmap, and contribute to the EFF. Strong background in Computer Science. You'll work on products like: CRM and Member Management, Web Hosting Infrastructure, Email & SMS Marketing, Events, Classes, and Appointment bookings, and a Member App (PWA).

Python

Python AWS ML ML

30 Best Data Science Books to Read in 2023

Analytics Vidhya

FEBRUARY 28, 2023

To achieve maximum efficiency, every company strives to use various data at every stage of its operations.

Data Science

Data Science Data Preparation Big Data Big Data

Accelerate client success management through email classification with Hugging Face on Amazon SageMaker

AWS Machine Learning Blog

SEPTEMBER 12, 2023

In the following sections, we break down the data preparation, model experimentation, and model deployment steps in more detail. Data preparation Scalable Capital uses a CRM tool for managing and storing email data. Relevant email contents consist of subject, body, and the custodian banks.

Data Science

Data Science Data Scientist AWS ML

Build well-architected IDP solutions with a custom lens – Part 2: Security

AWS Machine Learning Blog

NOVEMBER 22, 2023

Only involving necessary people to do case validation or augmentation tasks reduces the risk of document mishandling and human error when dealing with sensitive data. She has extensive experience in machine learning with a PhD degree in computer science. When not helping customers, she enjoys outdoor activities.

AWS

AWS ML ML Machine Learning

Predictive Maintenance Using Isolation Forest

PyImageSearch

OCTOBER 21, 2024

We will start by setting up libraries and data preparation. Setup and Data Preparation For this purpose, we will use the Pump Sensor Dataset , which contains readings of 52 sensors that capture various parameters (e.g., Or requires a degree in computer science? detection of potential failures or issues).

Algorithm

Algorithm Deep Learning Deep Learning Data Preparation

Build production-ready generative AI applications for enterprise search using Haystack pipelines and Amazon SageMaker JumpStart with LLMs

AWS Machine Learning Blog

AUGUST 14, 2023

Often, to get an NLP application working for production use cases, we end up having to think about data preparation and cleaning. This is covered with Haystack indexing pipelines , which allows you to design your own data preparation steps, which ultimately write your documents to the database of your choice.

AWS

AWS Database AI AI

“Fall in love with your data”—Snorkel AI’s Enterprise LLM Summit

Snorkel AI

JANUARY 26, 2024

Data scientists can best improve LLM performance on specific tasks by feeding them the right data prepared in the right way. Snorkel engineers and researchers, he noted, used scalable data development tools to improve many parts of this system, including their embedding and retrieval models. Book a demo today.

Data Science

Data Science AI AI Machine Learning

Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning Blog

MARCH 28, 2024

Data preparation In this post, we use several years of Amazon’s Letters to Shareholders as a text corpus to perform QnA on. For more detailed steps to prepare the data, refer to the GitHub repo. He holds a Bachelor’s degree in Computer Science and Bioinformatics.

AWS

AWS Machine Learning Machine Learning AI

A review of purpose-built accelerators for financial services

AWS Machine Learning Blog

SEPTEMBER 11, 2024

In computer science, a number can be represented with different levels of precision, such as double precision (FP64), single precision (FP32), and half-precision (FP16). To give an idea of scale, the largest financial data feed is the consolidated US equity options feed, termed OPRA.

AWS

AWS ML ML Clustering

“Fall in love with your data”—Snorkel AI’s Enterprise LLM Summit

Snorkel AI

JANUARY 26, 2024

Data scientists can best improve LLM performance on specific tasks by feeding them the right data prepared in the right way. Snorkel engineers and researchers, he noted, used scalable data development tools to improve many parts of this system, including their embedding and retrieval models. Book a demo today.

Data Science

Data Science Data Scientist AI AI

Credit Card Fraud Detection Using Spectral Clustering

PyImageSearch

SEPTEMBER 16, 2024

We will start by setting up libraries and data preparation. Setup and Data Preparation To start, we will first download the Credit Card Fraud Detection dataset, which contains details (e.g., Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated?

Clustering

Clustering Algorithm Machine Learning Machine Learning

Image Segmentation with U-Net in PyTorch: The Grand Finale of the Autoencoder Series

PyImageSearch

NOVEMBER 6, 2023

Key steps encompass: Data preparation and splitting into training and validation sets. Iterative training across epochs with loss computation and backpropagation. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Or requires a degree in computer science?

Deep Learning

Deep Learning Deep Learning Python Computer Science

Build a Network Intrusion Detection System with Variational Autoencoders

PyImageSearch

NOVEMBER 18, 2024

We will start by setting up libraries and data preparation. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Or requires a degree in computer science? intrusions or attacks) and “good” normal connections. That’s not the case. Download the code!

Deep Learning

Deep Learning Deep Learning Data Visualization Machine Learning

Data Science Current

Implementing Approximate Nearest Neighbor Search with KD-Trees

Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

Webinars

Trending Sources

Best practices for Meta Llama 3.2 multimodal fine-tuning on Amazon Bedrock

Webinars

15 Fan-Favorite Speakers & Instructors Returning for ODSC East 2025

Ask HN: Who is hiring? (July 2025)

30 Best Data Science Books to Read in 2023

Accelerate client success management through email classification with Hugging Face on Amazon SageMaker

Build well-architected IDP solutions with a custom lens – Part 2: Security

Predictive Maintenance Using Isolation Forest

Build production-ready generative AI applications for enterprise search using Haystack pipelines and Amazon SageMaker JumpStart with LLMs

“Fall in love with your data”—Snorkel AI’s Enterprise LLM Summit

Advanced RAG patterns on Amazon SageMaker

A review of purpose-built accelerators for financial services

“Fall in love with your data”—Snorkel AI’s Enterprise LLM Summit

Credit Card Fraud Detection Using Spectral Clustering

Image Segmentation with U-Net in PyTorch: The Grand Finale of the Autoencoder Series

Build a Network Intrusion Detection System with Variational Autoencoders

Stay Connected