Towards AI

MAY 30, 2024

If you’ve enjoyed the list of courses at Gen AI 360, wait for this… Today, I am super excited to finally announce that we at towards_AI have released our first book: Building LLMs for Production. This 470-page book is all about LLMs and how to work with them. Join thousands of data leaders on the AI newsletter.

AI 93

AI AI Data Pipeline Deep Learning 93

Flipboard

NOVEMBER 27, 2024

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis. Choose Delete stack.

ETL 138

ETL Data Warehouse Analytics Analytics 138

Pickl AI

DECEMBER 25, 2024

Its diverse content includes academic papers, web data, books, and code. EleutherAI created the Pile to democratise AI research with high-quality, accessible data. Diversity of Sources : The Pile integrates 22 distinct datasets, including scientific articles, web content, books, and programming code.

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Natural Language Processing Machine Learning Machine Learning AI 52

ODSC - Open Data Science

DECEMBER 5, 2023

ODSC West is now a part of our history books, and we couldn’t be happier with how everything turned out. We had our first-ever Halloween party, more book signings, exciting keynotes, and plenty of sessions to fit everyone’s needs.

Data Science 98

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 98

O'Reilly Media

JUNE 14, 2024

It offers a wealth of books, on-demand courses, live events, short-form posts, interactive labs, expert playlists, and more—formed from the proprietary content of thousands of independent authors, industry experts, and several of the largest education publishers in the world.

AI 119

AI AI Data Pipeline ML 119

Flipboard

FEBRUARY 13, 2023

Project Structure Creating Our Configuration File Creating Our Data Pipeline Preprocessing Faces: Detection and Cropping Summary Citation Information Building a Dataset for Triplet Loss with Keras and TensorFlow In today’s tutorial, we will take the first step toward building our real-time face recognition application. The dataset.py

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Data Pipeline Deep Learning Deep Learning Python 145

PyImageSearch

MARCH 20, 2023

Jump Right To The Downloads Section Training and Making Predictions with Siamese Networks and Triplet Loss In the second part of this series, we developed the modules required to build the data pipeline for our face recognition application. Figure 1: Overview of our Face Recognition Pipeline (source: image by the author).

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Deep Learning Deep Learning Data Pipeline Python 115

AWS Machine Learning Blog

DECEMBER 4, 2024

Through simple conversations, business teams can use the chat agent to extract valuable insights from both structured and unstructured data sources without writing code or managing complex data pipelines. You can find him reading 4 books at a time when not helping or building solutions for customers.

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AWS AI AI SQL 106

IBM Journey to AI blog

APRIL 20, 2023

Before a bank can start the process of certifying a risk model, they first need to understand what data is being used and how it changes as it moves from a database to a model.

Database 86

Database Data Engineering Data Engineer Data Engineering 86

phData

JANUARY 19, 2024

Matillion’s Data Productivity Cloud is a versatile platform designed to increase the productivity of data teams. It provides a unified platform for creating and managing data pipelines that are effective for both coders and non-coders. Each API has its own set of requirements.

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Data Pipeline Data Warehouse ETL Azure 52

Precisely

SEPTEMBER 12, 2023

As a proud member of the Connect with Confluent program , we help organizations going through digital transformation and IT infrastructure modernization break down data silos and power their streaming data pipelines with trusted data. Book your meeting with us at Confluent’s Current 2023. See you in San Jose!

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Data Silos Apache Kafka Data Pipeline Data Quality 52

Flipboard

MARCH 6, 2023

In the previous tutorial of this series, we built the dataset and data pipeline for our Siamese Network based Face Recognition application. Specifically, we looked at an overview of triplet loss and discussed what kind of data samples are required to train our model with the triplet loss. Download the code!

Deep Learning 144

Deep Learning Deep Learning Data Pipeline Computer Science 144

IBM Journey to AI blog

JANUARY 9, 2024

The groundwork of training data in an AI model is comparable to piloting an airplane. The entire generative AI pipeline hinges on the data pipelines that empower it, making it imperative to take the correct precautions. If the takeoff angle is a single degree off, you might land on an entirely new continent than expected.

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AI AI Data Quality Data Pipeline 89

AWS Machine Learning Blog

OCTOBER 23, 2024

He is the author of the upcoming book “What’s Your Problem?” Aaron Kesler is the Senior Product Manager for AI products and services at SnapLogic, Aaron applies over ten years of product management expertise to pioneer AI/ML product development and evangelize services across the organization.

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AI AI AWS Database 86

AWS Machine Learning Blog

NOVEMBER 1, 2023

Outside of work, he enjoys playing lawn tennis and reading books. Jeff Newburn is a Senior Software Engineering Manager leading the Data Engineering team at Logikcull – A Reveal Technology. He oversees the company’s data initiatives, including data warehouses, visualizations, analytics, and machine learning.

AWS 119

AWS Machine Learning Machine Learning ML 119

Alation

JUNE 14, 2023

Data Pipeline Capabilities This team’s scope is massive because the data pipelines are huge and there are many different capabilities embedded in them. The team focuses on cleansing and transforming pieces of the data value stream, while seeking ways to further commoditize and standardize data.

Data Pipeline 52

Data Pipeline ETL Data Warehouse SQL 52

ODSC - Open Data Science

APRIL 4, 2024

Find out how to weave data reliability and quality checks into the execution of your data pipelines and more. More Speakers and Sessions Announced for the 2024 Data Engineering Summit Ranging from experimentation platforms to enhanced ETL models and more, here are some more sessions coming to the 2024 Data Engineering Summit.

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Data Visualization Analytics Analytics Big Data Analytics 52

IBM Journey to AI blog

DECEMBER 16, 2022

You have a specific book in mind, but you have no idea where to find it. You enter the title of the book into the computer and the library’s digital inventory system tells you the exact section and aisle where the book is located.

Data Quality 52

Data Quality Data Governance Data Scientist Data Wrangling 52

AWS Machine Learning Blog

SEPTEMBER 24, 2024

An optional CloudFormation stack to deploy a data pipeline to enable a conversation analytics dashboard. Booking – This demonstrates an example of routing the caller to a live agent queue. Choose an option for allowing unredacted logs for the Lambda function in the data pipeline. in the middle of a conversation.

AWS 101

AWS AI AI Analytics 101

phData

NOVEMBER 9, 2023

If you’d like a more personalized look into the potential of Snowflake for your business, definitely book one of our free Snowflake migration assessment sessions. These casual, informative sessions offer straightforward answers and honest advice for moving your data to Snowflake.

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

AWS Machine Learning Blog

SEPTEMBER 11, 2024

Market participants who are receiving either live or historical data feeds need to ingest this data and perform one or more steps, such as parse the message out of a binary protocol, rebuild the limit order book (LOB), or combine multiple feeds into a single normalized format.

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AWS ML ML Clustering 107

phData

JULY 22, 2024

I consciously chose to pivot away from general software development and specialize in Data Engineering. I’ve moved from building user interfaces and backend systems to designing data models, creating data pipelines, and gaining valuable insights from complex datasets.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

PyImageSearch

JULY 24, 2023

Going Beyond with Keras Core The Power of Keras Core: Expanding Your Deep Learning Horizons Show Me Some Code JAX Harnessing model.fit() Imports and Setup Data Pipeline Build a Custom Model Build the Image Classification Model Train the Model Evaluation Summary References Citation Information What Is Keras Core? Enter Keras Core!

Deep Learning 98

Deep Learning Deep Learning Machine Learning Machine Learning 98

IBM Journey to AI blog

JULY 27, 2023

Moreover, enterprises should consider lakehouse solutions that incorporate generative AI to help data engineers and non-technical users easily discover, augment and enrich data with natural language. Data lakehouses improve the efficiency of deploying AI and the generation of data pipelines.

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AI AI Data Scientist Data Quality 69

IBM Journey to AI blog

AUGUST 23, 2023

Data governance for LLMs The best breakdown of LLM architecture I’ve seen comes from this article by a16z (image below). As new AI regulations impose guidelines around the use of AI, it is critical to not just manage and govern AI models but, equally importantly, to govern the data put into the AI.

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Data Governance AI AI Artificial Intelligence 66

AWS Machine Learning Blog

JANUARY 25, 2023

Solution overview SageMaker algorithms have fixed input and output data formats. But customers often require specific formats that are compatible with their data pipelines. Option A In this option, we use the inference pipeline feature of SageMaker hosting. Dhawal Patel is a Principal Machine Learning Architect at AWS.

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Algorithm Natural Language Processing Machine Learning Machine Learning 94

Alation

MAY 31, 2023

American Family Insurance: Governance by Design – Not as an Afterthought Who: Anil Kumar Kunden , Information Standards, Governance and Quality Specialist at AmFam Group When: Wednesday, June 7, at 2:45 PM Why attend: Learn how to automate and accelerate data pipeline creation and maintenance with data governance, AKA metadata normalization.

Data Governance 52

Data Governance DataOps Data Pipeline Business Intelligence 52

Iguazio

DECEMBER 18, 2023

This will require investing resources in the entire AI and ML lifecycle, including building the data pipeline, scaling, automation, integrations, addressing risk and data privacy, and more. By thinking about the ML process in advance: preparing, managing, and versioning data, reusing components, etc.,

ML 64

ML ML AI AI 64

Flipboard

NOVEMBER 24, 2023

Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a data pipeline. He is the author of the upcoming book “What’s Your Problem?” The humble beginnings with Iris In 2017, SnapLogic unveiled Iris, an industry-first AI-powered integration assistant.

Database 158

Database AWS ETL SQL 158

PyImageSearch

JUNE 5, 2023

Specifically, we will develop our data pipeline, implement the loss functions discussed in Part 1 and write our own code to train the CycleGAN model end-to-end using Keras and TensorFlow. Finally, we combine and consolidate our entire training data (i.e., Let us open the train.py file and get started.

Deep Learning 57

Deep Learning Deep Learning Data Pipeline Python 57

AWS Machine Learning Blog

APRIL 12, 2023

From now on, we will launch a retraining every 3 months and, as soon as possible, will use up to 1 year of data to account for the environmental condition seasonality. When deploying this system on other assets, we will be able to reuse this automated process and use the initial training to validate our sensor data pipeline.

AWS 109

AWS ML ML Machine Learning 109

Iguazio

DECEMBER 18, 2023

This will require investing resources in the entire AI and ML lifecycle, including building the data pipeline, scaling, automation, integrations, addressing risk and data privacy, and more. By thinking about the ML process in advance: preparing, managing, and versioning data, reusing components, etc.,

ML 52

ML ML AI AI 52

IBM Journey to AI blog

JULY 1, 2024

Whenever anyone talks about data lineage and how to achieve it, the spotlight tends to shine on automation. This is expected, as automating the process of calculating and establishing lineage is crucial to understanding and maintaining a trustworthy system of data pipelines.

ETL 40

ETL Data Lakes Database Data Pipeline 40

phData

OCTOBER 20, 2023

Step 1 : Examine the Raw XML data (below is the sample XML data used for loading). The data contains a three-level nested structure: catalog → book → notes. Each catalog has multiple books; each book contains notes by publisher and author. Ensure to complete the steps listed under setup.

Big Data 40

Big Data Big Data Database Hadoop 40

phData

FEBRUARY 14, 2023

Source data formats can only be Parquer, JSON, or Delimited Text (CSV, TSV, etc.). Streamsets Data Collector StreamSets Data Collector Engine is an easy-to-use data pipeline engine for streaming, CDC, and batch ingestion from any source to any destination.

Data Warehouse 59

Data Warehouse Azure AWS Database 59

Iguazio

FEBRUARY 8, 2024

To read more about LLMOps and MLOps, checkout the O’Reilly book “Implementing MLOps in the Enterprise” , authored by Iguazio ’s CTO and co-founder Yaron Haviv and by Noah Gift. Continuous monitoring of resources, data, and metrics. Data Pipeline - Manages and processes various data sources. What is LLMOps?

ML 52

ML ML Data Scientist AI 52

PyImageSearch

JANUARY 8, 2024

We will understand the dataset and the data pipeline for our application and discuss the salient features of the NSL framework in detail. config.py ) The data pipeline (i.e., Inside you'll find my hand-picked tutorials, books, courses, and libraries to help you master CV and DL! model.py ) Additionally, the robust.py

Deep Learning 65

Deep Learning Deep Learning Data Pipeline Computer Science 65