Data Science Dojo

NOVEMBER 16, 2023

Load CSV data using LangChain CSV loader LangChain CSV loader loads csv data with a single row per document. For this demo we are using employee sample data csv file which is uploaded in colab’s environment. Creating vectorstore For this demonstration, we are going to use FAISS vectorstore.

Natural Language Processing 195

Natural Language Processing Clustering Algorithm AI 195

Data Science Dojo

NOVEMBER 16, 2023

LOAD CSV DATA USING LANGCHAIN CSV LOADER LangChain CSV loader loads csv data with a single row per document. For this demo we are using employee sample data csv file which is uploaded in colab’s environment. CREATING VECTORSTORE For this demonstration, we are going to use FAISS vectorstore.

Natural Language Processing 150

Natural Language Processing Clustering Algorithm AI 150

Flipboard

AUGUST 17, 2023

Deploy the CloudFormation template Complete the following steps to deploy the CloudFormation template: Save the CloudFormation template sm-redshift-demo-vpc-cfn-v1.yaml Enter a stack name, such as Demo-Redshift. You should see a new CloudFormation stack with the name Demo-Redshift being created. yaml locally.

ML 123

ML ML AWS Data Warehouse 123

AWS Machine Learning Blog

APRIL 19, 2024

Solution overview For this demo, we use the SageMaker controller to deploy a copy of the Dolly v2 7B model and a copy of the FLAN-T5 XXL model from the Hugging Face Model Hub on a SageMaker real-time endpoint using the new inference capabilities. Now you also can use them with SageMaker Operators for Kubernetes. or above installed.

AWS 132

AWS ML ML Machine Learning 132

Mlearning.ai

AUGUST 28, 2023

I recently took the Azure Data Scientist Associate certification exam DP-100, thankfully I passed after about 3–4 months for studying the Microsoft Data Science Learning Path and the Coursera Microsoft Azure Data Scientist Associate Specialization.

Azure 52

Azure ML ML Data Science 52

ODSC - Open Data Science

JULY 22, 2023

The week was filled with engaging sessions on top topics in data science, innovation in AI, and smiling faces that we haven’t seen in a while. Expo Hall ODSC events are more than just data science training and networking events. We’re a few weeks removed from ODSC Europe 2023 and we couldn’t have left on a better note.

Apache Kafka 52

Apache Kafka Machine Learning Machine Learning Data Science 52

AWS Machine Learning Blog

NOVEMBER 19, 2024

As attendees circulate through the GAIZ, subject matter experts and Generative AI Innovation Center strategists will be on-hand to share insights, answer questions, present customer stories from an extensive catalog of reference demos, and provide personalized guidance for moving generative AI applications into production.

AWS 112

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AWS Machine Learning Blog

MAY 23, 2023

Solution overview The web application is built on Streamlit , an open-source Python library that makes it easy to create and share beautiful, custom web apps for ML and data science. Fargate is a technology that you can use with Amazon ECS to run containers without having to manage servers or clusters or virtual machines.

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IBM Journey to AI blog

SEPTEMBER 25, 2023

When a query is constructed, it passes through a cost-based optimizer, then data is accessed through connectors, cached for performance and analyzed across a series of servers in a cluster. Because of its distributed nature, Presto scales for petabytes and exabytes of data. EMA Technical Case Study, sponsored by Ahana.

Data Lakes 102

Data Lakes Analytics Analytics Clustering 102

DataRobot

JUNE 16, 2021

In several earlier blog posts, we have focused on what we at DataRobot call the AI production gap , which refers to the gap that makes it difficult to transition models from the data science teams who develop them to the IT and DevOps teams who are responsible for deploying and monitoring them in production. Request a Demo.

Azure 52

Azure Data Science Clustering AWS 52

AWS Machine Learning Blog

DECEMBER 15, 2023

You want to gather insights on this data and build an ML model to predict how new restaurants will be rated, but find it challenging to perform analytics on unstructured data. You encounter bottlenecks because you need to rely on data engineering and data science teams to accomplish these goals.

Machine Learning 126

Machine Learning Machine Learning AWS ML 126

AWS Machine Learning Blog

APRIL 5, 2023

Data overview and preparation You can use a SageMaker Studio notebook with a Python 3 (Data Science) kernel to run the sample code. For demo purposes, we use approximately 1,600 products. We use the first metadata file in this demo. We use a pretrained ResNet-50 (RN50) model in this demo.

ML 116

ML ML AWS K-nearest Neighbors 116

DataRobot Blog

NOVEMBER 3, 2022

To understand how DataRobot AI Cloud and Big Query can align, let’s explore how DataRobot AI Cloud Time Series capabilities help enterprises with three specific areas: segmented modeling, clustering, and explainability. Flexible BigQuery Data Ingestion to Fuel Time Series Forecasting. Enable Granular Forecasts with Clustering.

Clustering 52

Clustering Data Scientist Exploratory Data Analysis AI 52

The MLOps Blog

JUNE 27, 2023

With built-in components and integration with Google Cloud services, Vertex AI simplifies the end-to-end machine learning process, making it easier for data science teams to build and deploy models at scale. Metaflow Metaflow helps data scientists and machine learning engineers build, manage, and deploy data science projects.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

ODSC - Open Data Science

AUGUST 7, 2023

Databricks Databricks is the developer of Delta Lake, an open-source project that brings reliability to data lakes for machine learning and other cases. Their platform was developed for working with Spark and provides automated cluster management and Python-style notebooks.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 52

Snorkel AI

OCTOBER 6, 2023

Most data science leaders expect their companies to customize large language models for their enterprise applications, according to a recent survey , but the process of making LLMs work for your business and your use cases is still a fresh challenge. Data scientists can clean this up ahead of pre-training in a number of ways.

Data Science 69

Data Science Supervised Learning Data Mining Data Mining 69

AWS Machine Learning Blog

NOVEMBER 1, 2023

The demo implementation code is available in the following GitHub repo. She is a technologist with a PhD in Computer Science, a master’s degree in Education Psychology, and years of experience in data science and independent consulting in AI/ML. Dr. Changsha Ma is an AI/ML Specialist at AWS.

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AWS Clustering Deep Learning Deep Learning 127

Snorkel AI

JANUARY 26, 2024

To achieve the trust, quality, and reliability necessary for production applications, enterprise data science teams must develop proprietary data for use with specialized models. Data scientists can best improve LLM performance on specific tasks by feeding them the right data prepared in the right way.

Data Science 64

Data Science AI AI Machine Learning 64

Pickl AI

APRIL 5, 2023

Moreover, you will also learn the use of clustering and dimensionality reduction algorithms. This course is useful for Data Scientists who are keen to expand their expertise in ML. Skill Level – Anyone who wants to learn Machine Learning Course Content Feature Selection How does a model learn? Thus, simplifying your learning curve.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

DataRobot Blog

JULY 27, 2022

Data Science Expertise Meets Scalability. The Demo: Autoscaling with MLOps. In this demo, we are completely unattended. If you want to take this demo and rip out a few parts to incorporate into your production code, you’re free to do so. Admin keys are not required for this demo.

Algorithm 52

Algorithm ML ML Deep Learning 52

phData

JUNE 28, 2023

Today’s most cutting-edge Generative AI and LLM applications are all trained using large clusters of GPU-accelerated hardware. At Snowflake Summit, NVIDIA is showing demos of its NeMo platform to show the power of these new capabilities within Snowflake. What Does This Mean for Enterprise Data Science and ML Teams?

AI 52

AI AI Machine Learning Machine Learning 52

Mlearning.ai

JULY 9, 2023

I realized that the algorithm assumes that we like a particular genre and artist and groups us into these clusters, not letting us discover and experience new music. You can check a live demo of the app using the link below: Spotify Reccomendation BECOME a WRITER at MLearning.ai // invisible ML // 800+ AI tools Mlearning.ai

Algorithm 52

Algorithm Azure Clustering ML 52

Snorkel AI

OCTOBER 6, 2023

Most data science leaders expect their companies to customize large language models for their enterprise applications, according to a recent survey , but the process of making LLMs work for your business and your use cases is still a fresh challenge. Data scientists can clean this up ahead of pre-training in a number of ways.

Data Science 59

Data Science Supervised Learning Data Mining Data Mining 59

Snorkel AI

MARCH 26, 2024

I recently talked with Matt Casey, data science content lead at Snorkel AI, about this case. Snorkel Flow’s programmatic labeling process starts with labeling functions—essentially programmable rules to label data. See what Snorkel can do to accelerate your data science and machine learning teams.

Machine Learning 52

Machine Learning Machine Learning Data Lakes Data Science 52

ODSC - Open Data Science

APRIL 21, 2023

This keynote will also include a live demo of transfer learning and deployment of a transformer model using Hugging Face and MLRun; showcasing how to make the whole process efficient, effective, and collaborative. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

AI 52

AI AI Azure Algorithm 52

Snorkel AI

SEPTEMBER 20, 2023

Corporate leaders soon urged data science teams to use large language models (LLMs), and data science teams turned to fine-tuning and retrieval-augmented generation (RAG) to mitigate generative AI (genAI) shortcomings. Professionals in the data science space often debate which approach yields the best result.

Data Science 52

Data Science Data Scientist Database AI 52

ODSC - Open Data Science

APRIL 19, 2023

With Dr. Jon Krohn you’ll also get hands-on code demos in Jupyter notebooks and strategic advice for overcoming common pitfalls. Join us and you’ll also get a hands-on example of a personalized search using the open-source Weaviate engine which covers the details of Collaborative Filtering, HDBSCAN clustering, and Graph Neural Networks.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Snorkel AI

MAY 26, 2023

What’s really important in the before part is having production-grade machine learning data pipelines that can feed your model training and inference processes. And that’s really key for taking data science experiments into production. And so that’s where we got started as a cloud data warehouse.

SQL 52

SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

What’s really important in the before part is having production-grade machine learning data pipelines that can feed your model training and inference processes. And that’s really key for taking data science experiments into production. And so that’s where we got started as a cloud data warehouse.

SQL 52

SQL ML ML Python 52

Snorkel AI

JANUARY 26, 2024

To achieve the trust, quality, and reliability necessary for production applications, enterprise data science teams must develop proprietary data for use with specialized models. Data scientists can best improve LLM performance on specific tasks by feeding them the right data prepared in the right way.

Data Science 52

Data Science Data Scientist AI AI 52

Snorkel AI

MARCH 26, 2024

I recently talked with Matt Casey, data science content lead at Snorkel AI, about this case. Snorkel Flow’s programmatic labeling process starts with labeling functions—essentially programmable rules to label data. Book a demo today. We were ready to help. This resulted in an unusually high number of labeling functions.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

Iguazio

APRIL 24, 2024

This adaptability makes them versatile tools for a variety of industries, from legal document analysis to customer care (For a demo of how to fine-tune a OSS LLM, check out the github repo here ). Application: A gen AI model can be utilized to generate synthetic data, which mimics the real-world data in style and diversity.

ML 52

ML ML Data Science Data Scientist 52

Mlearning.ai

JANUARY 31, 2023

It turned out that a better solution was to annotate data by using a clustering algorithm, in particular, I chose the popular K-means. This means that it can infer knowledge from data without a supervised signal (i.e. So I simply run the K-means on the whole dataset, partitioning it into 4 different clusters.

Clustering 52

Clustering Algorithm Machine Learning Machine Learning 52

DrivenData Labs

DECEMBER 10, 2023

Team / participant Features Models Data sources NASAPalooza Paper search, paper recommendation, doc upload, paper summarization, chatbot, people search, keyword extraction, topic trends, dataset analysis GPT-3.5 His expertise and experience make him a valuable asset in the field of data science and Generative AI.

AI 147

AI AI Natural Language Processing Artificial Intelligence 147

Snorkel AI

OCTOBER 6, 2023

Most data science leaders expect their companies to customize large language models for their enterprise applications, according to a recent survey , but the process of making LLMs work for your business and your use cases is still a fresh challenge. Data scientists can clean this up ahead of pre-training in a number of ways.

Data Scientist 52

Data Scientist Data Science Supervised Learning Data Mining 52

Flipboard

NOVEMBER 24, 2023

Conclusion To get started today with SnapGPT, request a free trial of SnapLogic or request a demo of the product. Since joining SnapLogic in 2010, Greg has helped design and implement several key platform features including cluster processing, big data processing, the cloud architecture, and machine learning.

Database 158

Database AWS ETL SQL 158

O'Reilly Media

NOVEMBER 28, 2023

Second, while OpenAI’s GPT-4 announcement last March demoed generating website code from a hand-drawn sketch, that capability wasn’t available until after the survey closed. Third, while roughing out the HTML and JavaScript for a simple website makes a great demo, that isn’t really the problem web designers need to solve.

AI 138

AI AI Data Analysis Data Analysis 138