O'Reilly on Data

NOVEMBER 13, 2018

Considerations for a world where ML models are becoming mission critical. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. Interest on the part of companies means the demand side for “machine learning talent” is healthy.

Machine Learning 224

Machine Learning Risk Management Statistics 224

Analytics Vidhya

MAY 21, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Objectives The article focuses on building beautiful and interactive ML web. The post A brief introduction to building interactive ML WebApps With Streamlit appeared first on Analytics Vidhya.

Interactive 287

Interactive Data Science Publishing Analytics 287

Analytics Vidhya

APRIL 14, 2023

As artificial intelligence (AI) continues to evolve, so do the capabilities of Large Language Models (LLMs). These models use machine learning algorithms to understand and generate human language, making it easier for humans to interact with machines.

Visualization 345

Visualization Machine Learning Interactive Modeling 345

Cloudera

NOVEMBER 1, 2023

And so we are thrilled to introduce our latest applied ML prototype (AMP) — a large language model (LLM) chatbot customized with website data using Meta’s Llama2 LLM and Pinecone’s vector database. The post Harness the Power of Pinecone with Cloudera’s New Applied Machine Learning Prototype appeared first on Cloudera Blog.

Machine Learning 110

Machine Learning Optimization Modeling Interactive 110

KDnuggets

MAY 2, 2022

Hugging Face Spaces allows you to have an interactive experience with the machine learning models, and we will be discovering the best application to get some inspiration.

Machine Learning 100

Machine Learning Interactive Modeling 100

Analytics Vidhya

APRIL 1, 2022

Introduction Jupyter Notebook is a web-based interactive computing platform that many data scientists use for data wrangling, data visualization, and prototyping of their Machine Learning models. This article was published as a part of the Data Science Blogathon.

Machine Learning 352

Machine Learning Visualization Interactive Data Science 352

Smart Data Collective

JUNE 24, 2023

Fortunately, new advances in machine learning technology can help mitigate many of these risks. Therefore, you will want to make sure that your cryptocurrency wallet or service is protected by machine learning technology. In 2018, researchers used data mining and machine learning to detect Ponzi schemes in Ethereum.

Machine Learning 78

Machine Learning Broadcasting Risk Data mining 78

Smart Data Collective

JULY 8, 2021

It is important to be informed about the potential benefits of machine learning as a consumer. Before you can understand the benefits that machine learning offers to you as a customer, it is a good idea to see how it is affecting the industry. There are a number of online machine learning tools that can help you.

Machine Learning 143

Machine Learning Management Finance Cost-Benefit 143

AWS Big Data

JUNE 23, 2023

AWS Glue interactive sessions allow engineers to build, test, and run data preparation and analytics workloads in an interactive notebook. Interactive sessions provide isolated development environments, take care of the underlying compute cluster, and allow for configuration to stop idling resources. The function is the control.

Interactive 73

Interactive Testing Machine Learning Management 73

Analytics Vidhya

FEBRUARY 20, 2023

Introduction Machine Learning is a fast-growing field, and its applications have become ubiquitous in our day-to-day lives. As the demand for ML models increases, so makes the demand for user-friendly interfaces to interact with these models.

Dashboards 175

Dashboards Machine Learning Interactive Modeling 175

Smart Data Collective

JUNE 3, 2021

Many different industries are becoming more reliant on machine learning. The insurance industry is among those that has found new opportunities to take advantage of machine learning technology. Many of the applications of big data for insurance companies will be realized with machine learning technology.

Insurance 98

Insurance Machine Learning Cost-Benefit Risk 98

CIO Business Intelligence

SEPTEMBER 29, 2022

And we recognized as a company that we needed to start thinking about how we leverage advancements in technology and tremendous amounts of data across our ecosystem, and tie it with machine learning technology and other things advancing the field of analytics. Here are some edited excerpts of that conversation.

Machine Learning 120

Machine Learning Insurance Technology Software 120

CIO Business Intelligence

OCTOBER 4, 2022

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. more machine learning use casesacross the company. By Bryan Kirschner, Vice President, Strategy at DataStax.

Machine Learning 96

Machine Learning Data Architecture Uncertainty Data-driven 96

Cloudera

APRIL 9, 2021

Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. Predictive Analytics – AI & machine learning. This integration is key in assuring that models evolve with the data – to avoid, for example, model drift.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Analytics Vidhya

DECEMBER 24, 2021

This article was published as a part of the Data Science Blogathon About Streamlit Streamlit is an open-source Python library that assists developers in creating interactive graphical user interfaces for their systems. It was designed especially for Machine Learning and Data Scientist team. Frontend […].

Optimization 359

Optimization Machine Learning Interactive Data Science 359

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

by TAMAN NARAYAN & SEN ZHAO A data scientist is often in possession of domain knowledge which she cannot easily apply to the structure of the model. On the one hand, basic statistical models (e.g. On the other hand, sophisticated machine learning models are flexible in their form but not easy to control.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

Analytics Vidhya

JANUARY 26, 2024

Introduction The rise of Large Language Models (LLMs) like ChatGPT has been revolutionary, igniting a new era in how we interact with technology. These sophisticated models, exemplified by ChatGPT, have redefined how we engage with digital platforms.

Interactive 337

Interactive Modeling Technology Analytics 337

IBM Big Data Hub

FEBRUARY 10, 2022

As someone who is passionate about data science, I know from firsthand that our model is only as good as the data we feed it. On that note, one thing I’ve learnt from working on this project is that we need better data sets that can help us train the machine learning (ML) models that underpin these systems.

Machine Learning 54

Machine Learning Modeling Data Science Consulting 54

CIO Business Intelligence

MARCH 22, 2022

Nvidia is hoping to make it easier for CIOs building digital twins and machine learning models to secure enterprise computing, and even to speed the adoption of quantum computing with a range of new hardware and software. Nvidia claims it can do so up to 45,000 times faster than traditional numerical prediction models.

Modeling 121

Modeling Machine Learning Forecasting Optimization 121

Analytics Vidhya

APRIL 15, 2024

Introduction Google AI’s powerhouse language model, Gemini 1.5 Now accessible in over 180 countries via the Gemini API, this update boasts new features designed to empower developers and redefine human-computer interaction. Pro, has taken a significant step forward with its public preview release.

Interactive 303

Interactive Modeling Analytics IT 303

Cloudera

APRIL 19, 2021

In our previous blog post in this series , we explored the benefits of using GPUs for data science workflows, and demonstrated how to set up sessions in Cloudera Machine Learning (CML) to access NVIDIA GPUs for accelerating Machine Learning Projects. pip install scikit-learn pandas. pip install tensorflow.

Deep Learning 75

Deep Learning Machine Learning Data Science Modeling 75

Insight

MARCH 18, 2019

Bias in Machine Learning Algorithms (Bottom Photos Source: ProPublica ; Top Photos Source: Pexels.com) Biases in predictive modeling are a widespread issue Machine learning and AI applications are used across industries, from recommendation engines to self-driving cars and more.

Machine Learning 77

Machine Learning Predictive Modeling Modeling Metrics 77

Domino Data Lab

APRIL 17, 2019

Special thanks to Addison-Wesley Professional for permission to excerpt the following “Software Architecture” chapter from the book, Machine in Production. This chapter excerpt provides data scientists with insights and tradeoffs to consider when moving machine learning models to production. Introduction.

Machine Learning 87

Machine Learning Software Cost-Benefit Interactive 87

Analytics Vidhya

DECEMBER 25, 2023

Introduction As technology advances, there is a growing demand for more sophisticated and versatile artificial intelligence (AI) models. OpenAI’s ChatGPT stands out as a trailblazer in natural language processing, reshaping the landscape of human-AI interaction and setting new standards in the field.

Interactive 295

Interactive Modeling Technology Analytics 295

Analytics Vidhya

MARCH 3, 2024

Introduction In a groundbreaking move, Microsoft introduced a revolutionary 1-Bit LLM technology set to redefine the landscape of language models. This cutting-edge development promises to revolutionize how we interact with AI systems and open up a world of possibilities for the future.

Technology 202

Technology Interactive Modeling Analytics 202

O'Reilly on Data

FEBRUARY 19, 2021

MLOps attempts to bridge the gap between Machine Learning (ML) applications and the CI/CD pipelines that have become standard practice. The Time Is Now to Adopt Responsible Machine Learning. Responsible Machine Learning (ML) is a movement to make AI systems accountable for the results they produce.

Data Lake 296

Data Lake Data Warehouse Machine Learning Modeling 296

Jen Stirrup

MAY 5, 2020

Apache Spark is what’s known as resilient which means that models can be created and recreated on the fly from a known state. The basis for Apache Spark is what’s known as RDD, Resilient Distributed Data, creating models on the fly and partitioning the data across multiple nodes, and that’s what makes it so popular.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

Analytics Vidhya

SEPTEMBER 11, 2023

RLHF for high performance focuses on understanding human behavior, cognition, context, knowledge, and interaction by leveraging computational models and data-driven approaches […] The post RLHF For High-Performance Decision-Making: Strategies and Optimization appeared first on Analytics Vidhya.

Optimization 307

Optimization Strategy Data-driven Interactive 307

Analytics Vidhya

DECEMBER 28, 2023

Introduction Temporal graphs are a powerful tool in data science that allows us to analyze and understand the dynamics of relationships and interactions over time. They capture the temporal dependencies between entities and offer a robust framework for modeling and analyzing time-varying relationships.

Data Science 248

Data Science Interactive Modeling Analytics 248

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. The interest in interpretation of machine learning has been rapidly accelerating in the last decade.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

DataRobot Blog

MAY 26, 2022

Validating Modern Machine Learning (ML) Methods Prior to Productionization. Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. Validating Machine Learning Models.

Risk 52

Risk Modeling Metrics Business Objectives 52

O'Reilly on Data

AUGUST 18, 2020

That is, products that are laser-focused on one aspect of the data science and machine learning workflows, in contrast to all-in-one platforms that attempt to solve the entire space of data workflows. The worlds of data science and machine learning move at a much faster pace than data warehousing and much of data engineering.

Data Science 358

Data Science Machine Learning Data Warehouse Deep Learning 358

CIO Business Intelligence

OCTOBER 13, 2023

Responsibilities include building predictive modeling solutions that address both client and business needs, implementing analytical models alongside other relevant teams, and helping the organization make the transition from traditional software to AI infused software.

Deep Learning 142

Deep Learning Machine Learning Modeling Software 142

Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Analytics in these types of projects may be less valuable due to lack of generalizability (to the other customers) and poor models (e.g.,

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

CIO Business Intelligence

MAY 10, 2024

Sastry Durvasula, chief information and client services officer at TIAA, says the multilayered platform’s extensive use of machine learning as part of its customer service line partnership with Google AI makes JSOC a formidable tool for financial and retirement planning and guiding customers through complex financial journeys.

Machine Learning 109

Machine Learning Experimentation Digital Transformation Modeling 109

AWS Big Data

MAY 23, 2024

AWS Glue , a serverless data integration service, simplifies the process of discovering, preparing, moving, and integrating data for analytics, machine learning (ML), and application development. An Amazon Simple Storage Service (Amazon S3) bucket to store the library, model, and output. b.id )) """).write.mode("overwrite").parquet(f"s3://{bucket_name}/models/1/trainingData/marked/")

Machine Learning 95

Machine Learning Interactive Recreation/Entertainment Data Integration 95

Cloudera

JUNE 11, 2024

More than two-thirds of companies are currently using Generative AI (GenAI) models, such as large language models (LLMs), which can understand and generate human-like text, images, video, music, and even code. However, the true power of these models lies in their ability to adapt to an enterprise’s unique context.

Enterprise 71

Enterprise Unstructured Data Contextual Data Data-driven 71