10 GitHub Repositories to Master Reinforcement Learning
KDnuggets
DECEMBER 2, 2024
Learn reinforcement learning using free resources, including books, frameworks, courses, tutorials, example code, and projects.
KDnuggets
DECEMBER 2, 2024
Learn reinforcement learning using free resources, including books, frameworks, courses, tutorials, example code, and projects.
Engineering at Meta
DECEMBER 3, 2024
Meta releases a Request for Proposals (RFP) to identify nuclear energy developers to support AI innovation and clean and renewable energy goals.
Seattle Data Guy
DECEMBER 12, 2024
Document Intelligence Studio is a data extraction tool that can pull unstructured data from diverse documents, including invoices, contracts, bank statements, pay stubs, and health insurance cards. The cloud-based tool from Microsoft Azure comes with several prebuilt models designed to extract data from popular document types. However, you can also use labeled datasets to train… Read more The post Alternatives to Azure Document Intelligence Studio: Exploring Powerful Document Analysis Tool
databricks
DECEMBER 9, 2024
Our customers continue to shift from monolithic prompts with general-purpose models to specialized agent systems to achieve the quality needed to drive ROI.
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Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.
ArcGIS
DECEMBER 9, 2024
Spatial Analytics and Data Science capabilities across ArcGIS have been enhanced this fall with new tools and optimized experiences.
Confessions of a Data Guy
DECEMBER 13, 2024
Today we talk about what is really going on with Data Contracts, they came in like a rocket a few years ago, but then died on the vine. What’s the deal? The post Data Contracts were a LIE! appeared first on Confessions of a Data Guy.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Christophe Blefari
DECEMBER 13, 2024
Hey, it's been a few weeks since something has been published here—I hope you haven’t forgotten about me 😊 In the last weeks I've been all over the place and worked on a lot of topics except this newsletter, I've decided to take a break from the newsletter to catchup the rhythm in January! The Forward Data Conference was a huge success and I want to thanks again all the attendees, speakers, sponsors and my co-organisers.
Cloudera
DECEMBER 4, 2024
For more than a decade, Cloudera has been an ardent supporter and committee member of Apache NiFi, long recognizing its power and versatility for data ingestion, transformation, and delivery. Our customers rely on NiFi as well as the associated sub-projects (Apache MiNiFi and Registry) to connect to structured, unstructured, and multi-modal data from a variety of data sources – from edge devices to SaaS tools to server logs and change data capture streams.
databricks
DECEMBER 1, 2024
We are excited to announce the Public Preview of Cross-Platform View Sharing. Available today, it allows data providers to share views across different.
ArcGIS
DECEMBER 3, 2024
This blog shows usability and accessibility improvements introduced in the Versioning contextual tab with the release of ArcGIS Pro 3.4.
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
Confessions of a Data Guy
DECEMBER 6, 2024
Well, everyone is abuzz with the recently announced S3 Tables that came out of AWS reinvent this year. I’m going to call fools gold on this one right out of the gate. I tried them out, in real life that is, not just some marketing buzz, and it will leave most people, not all, be […] The post AWS S3 Tables. Technical Introduction. appeared first on Confessions of a Data Guy.
KDnuggets
DECEMBER 2, 2024
In this article, we’ll go over Python libraries for tasks like logging, unit testing, data handling, and more — each with features that can simplify your application development.
Seattle Data Guy
DECEMBER 3, 2024
When I broke into the data world, everyone wanted to hire data scientists that would let their companies become more data driven. There were statistics about the exabytes of data that we were creating and the value it would provide. However, a few years into my career, the data world started to make a pivot… Read more The post Preparing Your Data Infrastructure for 2025: Lessons from the Past, Strategies for the Future appeared first on Seattle Data Guy.
Cloudera
DECEMBER 4, 2024
Today enterprises can leverage the combination of Cloudera and Snowflake—two best-of-breed tools for ingestion, processing and consumption of data—for a single source of truth across all data, analytics, and AI workloads. But now AWS customers will gain more flexibility, data utility, and complexity, supporting the modern data architecture. All this by making it easier for customers to connect their workloads with Snowflake, Cloudera, and unique AWS services such as Amazon Simple Storage Service
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
databricks
DECEMBER 11, 2024
In todays rapidly evolving technology landscape, generative artificial intelligence (GenAI) is revolutionizing the way organizations work and is opening up new worlds of.
ArcGIS
DECEMBER 8, 2024
Attribute rules triggering fields, specify which fields trigger the rule on update
Engineering at Meta
DECEMBER 2, 2024
Andromeda is Meta’s proprietary machine learning (ML) system design for retrieval in ad recommendation focused on delivering a step-function improvement in value to our advertisers and people. This system pushes the boundary of cutting edge AI for retrieval with NVIDIA Grace Hopper Superchip and Meta Training and Inference Accelerator (MTIA) hardware through innovations in ML model architecture, feature representation, learning algorithm, indexing, and inference paradigm.
KDnuggets
DECEMBER 4, 2024
MongoDB is a database that’s great for handling large amounts of diverse data. This article walks you through installing MongoDB and using the MongoDB Shell to manage your data easily.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Snowflake
DECEMBER 12, 2024
As organizations mature in their execution of data and AI initiatives, a burning question remains: How do we measure the effectiveness of our teams and our impact on the business? This isnt the perennial Whats my data worth? dilemma often asked rhetorically and answered theoretically. Todays challenge is concrete: to define and track the metrics used to justify continued investment in data and AI innovation.
Cloudera
DECEMBER 4, 2024
Welcome to the first installment of a series of posts discussing the recently announced Cloudera AI Inference service. Today, Artificial Intelligence (AI) and Machine Learning (ML) are more crucial than ever for organizations to turn data into a competitive advantage. To unlock the full potential of AI, however, businesses need to deploy models and AI applications at scale, in real-time, and with low latency and high throughput.
databricks
DECEMBER 2, 2024
Predictive Optimization (PO) enhances the performance of Unity Catalog managed tables by intelligently optimizing data layouts, leading to significant improvements in query performance.
ArcGIS
DECEMBER 9, 2024
Learn how to build a custom geoprocessing tool and about some new features, like Enable Undo for Script and Model tools, in ArcGIS Pro 3.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
Netflix Tech
DECEMBER 19, 2024
David J. Berg * , David Casler ^, Romain Cledat * , Qian Huang * , Rui Lin * , Nissan Pow * , Nurcan Sonmez * , Shashank Srikanth * , Chaoying Wang * , Regina Wang * , Darin Yu * *: Model Development Team, Machine Learning Platform ^: Content Demand ModelingTeam A month ago at QConSF, we showcased how Netflix utilizes Metaflow to power a diverse set of ML and AI use cases , managing thousands of unique Metaflow flows.
KDnuggets
DECEMBER 3, 2024
Check out these key concepts, tools, jargon, and tips for integrating ML models into existing software systems.
Engineering at Meta
DECEMBER 10, 2024
Were explaining the end-to-end systems the Facebook app leverages to deliver relevant content to people. Learn about our video-unification efforts that have simplified our product experience and infrastructure, in-depth details around mobile delivery, and new features we are working on in our video-content delivery stack. The end-to-end delivery of highly relevant, personalized, timely, and responsive content comes with complex challenges.
Cloudera
DECEMBER 3, 2024
Many enterprises have heterogeneous data platforms and technology stacks across different business units or data domains. For decades, they have been struggling with scale, speed, and correctness required to derive timely, meaningful, and actionable insights from vast and diverse big data environments. Despite various architectural patterns and paradigms, they still end up with perpetual “data puddles” and silos in many non-interoperable data formats.
Speaker: Nikhil Joshi, Founder & President of Snic Solutions
Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.
databricks
DECEMBER 18, 2024
Czech savings bank esk spoitelna , a division of Austrias Erste Group , recently collaborated with AI solution builder DataSentics to explore the.
ArcGIS
DECEMBER 4, 2024
Sample tool to add attachment date taken to an output table. Date taken data can be used in pop-up windows of an active map.
DataKitchen
DECEMBER 9, 2024
A Drug Launch Case Study in the Amazing Efficiency of a Data Team Using DataOps How a Small Team Powered the Multi-Billion Dollar Acquisition of a Pharma Startup When launching a groundbreaking pharmaceutical product, the stakes and the rewards couldnt be higher. This blog dives into the remarkable journey of a data team that achieved unparalleled efficiency using DataOps principles and software that transformed their analytics and data teams into a hyper-efficient powerhouse.
KDnuggets
DECEMBER 4, 2024
Here are five free resources in diverse formats and difficulty levels to acquaint with deep learning models at no cost.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
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