Data Science Dojo

JULY 18, 2023

Project-Based Learning : Towards the end of the bootcamp, you will have the opportunity to apply your knowledge by building an end-to-end custom LLM application. The project will challenge you to create a functional and interactive application, similar to building your own ChatGPT from scratch.

Data Science 195

Data Science Azure Natural Language Processing Database 195

ODSC - Open Data Science

FEBRUARY 22, 2024

Feature Stores in Practice: Build and Deploy a Model with Featureform, Redis, Databricks, and Sagemaker Simba Khadder | Founder & CEO | Featureform What is a Feature Store really and what is the true scope of its benefits? No-Code and Low-Code AI: A Practical Project Driven Approach to ML ​​Gwendolyn D.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Smart Data Collective

APRIL 23, 2019

The best technology stack for your web application will vary depending on the needs of your project. The technology you need is largely determined by: Type of Project: Small projects that need to ship fast may use a CMS like WordPress. Development Costs: Small, simple projects are obviously the least expensive.

Database 78

Database Python 78

Towards AI

NOVEMBER 19, 2023

Among those popular LLM open-source projects on GitHub, Quivr is one of the best and has lots of stars (24.2k First of all, I would like to pay tribute to this repository and its contributors for their great work for making such a good reference project for the Python community. at the time of writing) and well-structured code base.

Algorithm 96

Algorithm Python Database AI 96

ODSC - Open Data Science

JANUARY 10, 2024

Feature Stores in Practice: Build and Deploy a Model with Featureform, Redis, Databricks, and Sagemaker Simba Khadder | Founder & CEO | Featureform This session provides a practical blueprint to efficiently harness feature stores within ML workflows, effectively bridging the chasm between theoretical understanding and actionable implementation.

ML 52

ML ML Deep Learning Deep Learning 52

IBM Data Science in Practice

MARCH 8, 2023

The idea behind feature stores originated from Uber’s Michelangelo project and has since been embraced by various organizations, including Doordash , Facebook , LinkedIn , Inuit , and many others. Additionally, this development has inspired other open-source initiatives like Feast.

Machine Learning 264

Machine Learning Machine Learning ML ML 264

Mlearning.ai

AUGUST 4, 2023

In LEs, alongside PostgreSQL , MySQL , Microsoft SQL Server , SQLite , MongoDB , and Redis also enjoy high patronage. Graph 7: Percentage of Programming Languages MiscTech Tools In Both LEs and SMEs: ‘. NET (5+) ’, ‘ pandas ’, ‘ numpy ’, and ‘. NET Framework (1.0–4.8)’ 4.8)’ are widely used.

Database 52

Database Apache Kafka SQL AI 52

AWS Machine Learning Blog

MARCH 1, 2024

Knowledge Bases for Amazon Bedrock currently supports four vector stores: Amazon OpenSearch Serverless , Amazon Aurora PostgreSQL-Compatible Edition , Pinecone , and Redis Enterprise Cloud. She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI.

AWS 107

AWS Machine Learning Machine Learning Database 107

AWS Machine Learning Blog

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock supports multiple vector databases, including Amazon OpenSearch Serverless , Amazon Aurora , Pinecone, and Redis Enterprise Cloud. She leads machine learning (ML) projects in various domains such as computer vision, natural language processing and generative AI.

AWS 112

AWS Machine Learning Machine Learning ML 112

Hacker News

MARCH 11, 2024

So with this new project: Binary Duel ← shameless plug, I decided to go with a completely different approach. My Current Project Binary Duel is a simple quiz game to compete with friends, it even has matchmaking, and it is all handled by a single half-CPU Golang Server. Been there, done that.

Database 100

Database Clustering 100

phData

NOVEMBER 17, 2023

r, --redis-cache Clear the Redis cache. Tableau sites use projects to organize content and groups to organize users. It is always advisable to not add users directly into projects but rather utilize groups for adding permissions. -l, --log-files Delete log files that are older than 1 day. -q, within that Site.

Tableau 52

Tableau Clustering Database Data Analysis 52

Hacker News

JANUARY 18, 2024

Instead of paying for multiple services, I am now renting a decently sized VPS on Scaleway, and hosting all my projects on them. I hack a lot of projects, and being limited by the options PaaS offered felt annoying. I switched to PaaS when they started to look affordable and didn't look back for many years. Why did I make the switch?

Database 140

Database AWS 140

The MLOps Blog

OCTOBER 3, 2023

A lot of times, students will kind of check-in and they’ll be like “Oh, why don’t you help me grade my project? What I did was show them my project for grading. How do I get buy-in for these data science projects? Aurimas: You can configure it against S3, DynamoDB, or Redis, for example. How was my code?”

ML 52

ML ML Data Scientist Machine Learning 52

AWS Machine Learning Blog

APRIL 23, 2024

Cost Optimization – Well-Architected guidelines assist in optimizing resource usage, using cost-saving services, and monitoring expenses, resulting in long-term viability of generative AI projects. Redis Enterprise Cloud vector stores are not supported as of this writing in AWS CloudFormation.

AWS 103

AWS AI AI Machine Learning 103

Hacker News

MAY 22, 2023

We all love building greenfield projects. 1 But inevitably, starting a new project involves lots of meetings with business stakeholders to hash out initial requirements and canonical data models. Didn’t we do the exact same thing on the previous greenfield project we’re now rewriting? Those are…not so fun. What happened?

Database 123

Database Data Modeling Data Models 123

Smart Data Collective

AUGUST 9, 2022

Some of the most popular NoSQL databases currently are: Redis , MongoDB , Couchbase. That’s why you need to carefully consider the requirements of your project – in the end, you will likely need to use several databases at a time. According to the DB Engines rankings , SQL databases are still the most popular choice among developers.

Database 107

Database SQL Big Data Big Data 107

Becoming Human

MAY 15, 2023

Prerequisite to follow this roadmap of data science There are such prerequisites to follow this roadmap, your dedication of 2–3 hours per day till 6–8 months, where your first 4–6 months cover all your learning part and the last 2–3 months cover your end-to-end projects, resume building, networking, and applying for a job.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

AWS Machine Learning Blog

SEPTEMBER 18, 2023

Take action today and unlock the full potential of your ML projects! Session(region_name=args.region)) We then use the XGBoost trainer from XGBoost-Ray for training: def train_xgboost(ds_train, ds_val, params, num_workers, target_col = "price") -> Result: """ Creates a XGBoost trainer, train it, and return the result.

Machine Learning 99

Machine Learning Machine Learning ML ML 99

AWS Machine Learning Blog

FEBRUARY 19, 2024

We currently support four vector engine types: the vector engine for Amazon OpenSearch Serverless, Amazon Aurora, Pinecone, and Redis Enterprise Cloud. She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI. Choose Next.

AWS 98

AWS Database Machine Learning Machine Learning 98

Flipboard

OCTOBER 9, 2023

For example, containers exist to configure NGINX, Redis, and many other popular tools. Here you’ll learn how to successfully and confidently apply computer vision to your work, research, and projects. Breaking Down the Dockerfile, Step by Step ```Dockerfile FROM python:3.10 Join me in computer vision mastery.

Machine Learning 116

Machine Learning Machine Learning Deep Learning Deep Learning 116

Flipboard

JULY 23, 2023

Redis : It’s a well-known open-source database. Redis can be used as a distributed key-value database that runs in memory. Without databases, most software applications would not be possible. It’s also a Converged database with great OLAP functionality owing to IBM BLU Acceleration. It can handle massive amounts of data.

Artificial Intelligence 119

Artificial Intelligence Artificial Intelligence Database Deep Learning 119

AWS Machine Learning Blog

NOVEMBER 30, 2023

Knowledge Bases supports databases with vector capabilities that store numerical representations of your data (embeddings) that models use to access this data for RAG, including Amazon OpenSearch Service, and other popular databases like Pinecone and Redis Enterprise Cloud (Amazon Aurora and MongoDB vector support coming soon).

AWS 125

AWS AI AI ML 125