Cloudera

MAY 19, 2021

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. As a machine learning problem, it is a classification task with tabular data, a perfect fit for RAPIDS. Introduction. See < [link] > for more details.

Machine Learning 139

Machine Learning Data Science Data Lake Modeling 139

Sisense

MAY 26, 2020

Text data is proliferating at a staggering rate, and only advanced coding languages like Python and R will be able to pull insights out of these datasets at scale. The science of understanding and learning from text data is called natural language processing (NLP). Today, text data is everywhere. Unstructured data and Big Data.

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

Insight

MARCH 25, 2020

In this blog, I will share how I built Pair , a scalable web application that takes in a product image, analyzes its design features using convolutional neural network, and recommends products in other categories with similar style elements. In the past, these systems have been out of reach for individual developers.

Deep Learning 53

Deep Learning Metrics Data Processing Interactive 53

Cloudera

OCTOBER 17, 2017

Deep learning is in the news. But deep learning is a tool that enterprises use to solve practical problems. In this blog, we provide a few examples that show how organizations put deep learning to work. In this blog, we provide a few examples that show how organizations put deep learning to work.

Deep Learning 48

Deep Learning Data Science Machine Learning Modeling 48

Domino Data Lab

JUNE 15, 2021

In this blog post we’ll focus on the UDF capabilities provided by the two platforms. These companies often undertake large data science efforts in order to shift from “data-driven” to “model-driven” operations, and to provide model-underpinned insights to the business. Why Snowflake UDFs.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69

CDW Research Hub

AUGUST 14, 2019

In this post, we’ll look at structuring happy and unhappy conversation paths, various machine learning policies and configurations to improve your dialogue model, and use a transfer learning-based language model to generate natural conversations. Rasa recently released version 1.0, We’ll be using Rasa 1.0 in this article.

Interactive 53

Interactive Modeling Machine Learning Testing 53

AWS Big Data

AUGUST 1, 2023

Although Jira Cloud provides reporting capability, loading this data into a data lake will facilitate enrichment with other business data, as well as support the use of business intelligence (BI) tools and artificial intelligence (AI) and machine learning (ML) applications. The following diagram illustrates the solution architecture.

Data Lake 81

Data Lake Data Transformation Cost-Benefit Data-driven 81

Jet Global

SEPTEMBER 22, 2023

In this blog, we’ll explore two compelling use cases that demonstrate how ChatGPT enhances Logi Symphony’s capabilities. In today’s fast-paced market, data has become the lifeblood of decision-making. For application teams and users, having access to insightful and actionable data is not just a luxury; it’s a necessity.

Dashboards 52

Dashboards Data-driven Visualization Interactive 52