Xebia
APRIL 2, 2024
After months of crunching data, plotting distributions, and testing out various machine learning algorithms you have finally proven to your stakeholders that your model can deliver business value. Selecting the right architectural serving pattern is paramount in creating the most business value from your model.
Hacker Earth Developers Blog
JANUARY 31, 2020
Machine Learning (ML) is emerging as one of the hottest fields today. The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% billion by the end of 2025. billion by the end of 2025.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Hacker Earth Developers Blog
JANUARY 31, 2020
Machine Learning (ML) is emerging as one of the hottest fields today. The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% billion by the end of 2025. billion by the end of 2025.
Cloudera
NOVEMBER 1, 2023
Its architecture, known as retrieval-augmented generation (RAG) , is key in reducing hallucinated responses, enhancing the reliability and utility of LLM applications, making user experience more meaningful and valuable. An overview of the RAG architecture with a vector database used to minimize hallucinations in the chatbot application.
Netflix Tech
MARCH 4, 2024
In this blog post, we present our project on Auto Remediation, which integrates the currently used rule-based classifier with an ML service and aims to automatically remediate failed jobs without human intervention. Right Sizing is in progress and will be covered with more details in a dedicated technical blog post later. Stay tuned.
Hacker Earth Developers Blog
MAY 22, 2020
In our third episode of Breaking 404 , we caught up with Srivatsan Ramanujam, Director of Software Engineering: Machine Learning, Salesforce to discuss everything about Machine Learning and the best practices for ML engineers to excel in their careers. Again, focus on Data Science and Machine Learning.
Confluent
FEBRUARY 6, 2019
Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.
Expert insights. Personalized for you.
162 
Let's personalize your content