CIO Business Intelligence

APRIL 25, 2022

The course includes instruction in statistics, machine learning, natural language processing, deep learning, Python, and R. The course culminates in a final data project in collaboration with real-world industry professionals. It culminates with a capstone project that requires creating a machine learning model.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Ontotext

MAY 22, 2023

What is the future of knowledge graphs in the era of ChatGPT and Large Language Models? To start with, Large Language Models (LLM) will not replace databases. They are good for compressing information, but one cannot retrieve from such a model the same information that it got trained on. That’s something that LLMs cannot do.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

CIO Business Intelligence

JANUARY 20, 2023

What was once an anomaly is now a global reality as remote and hybrid work models settle in across industries. Understanding VDI As a virtual desktop solution, VDI enables remote workers to interact with an operating system and software the same way they would if working locally—on a network-delivered endpoint device.

Technology 59

Technology Cost-Benefit Deep Learning Modeling 59

Sisense

APRIL 15, 2021

From data preparation , with attendant data quality assessment, to connecting to datasets and performing the analysis itself, helpful AI elements, invisibly integrated into the platform, make analysis smoother and more intuitive. AutoML’s aim is to automate the development of machine learning models.

Analytics 98

Analytics Data Science Modeling Machine Learning 98

Cloudera

NOVEMBER 15, 2021

Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else. In other words, structured data has a pre-defined data model , whereas unstructured data doesn’t. . The challenges of data. Data annotation. Data curation.

Unstructured Data 87

Unstructured Data Recreation/Entertainment Structured Data Reporting 87

datapine

AUGUST 14, 2019

Exclusive Bonus Content: Download Our Free Data & Science Checklist! Geet our bite-sized free summary and start building your data skills! In the past, data scientists had to rely on powerful computers to manage large volumes of data. Our Top Data Science Tools. Let’s get started. Source: mathworks.com.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

APRIL 26, 2022

Taking that a step further—with a computer vision platform leveraging a federated approach —the analysis happens in near real time as there would be no need to push large amounts of data back to a central storage location. Then, only the updated model is sent back to the edge. How can we affect sustainability in manufacturing?

Manufacturing 91

Manufacturing Optimization Metrics Deep Learning 91

CIO Business Intelligence

APRIL 4, 2022

Identifying more complex fraud requires a whole new way of looking at data. Traditional relational databases are limited at capturing the relationships between data points. The confines of tabular data models and rigid schemas make it difficult to add new or different kinds of connections. Real-time Fraud Detection.

Technology 52

Technology Deep Learning Cost-Benefit Data Quality 52

Domino Data Lab

JUNE 23, 2019

This talk will describe how you can navigate all these challenges that you’re going to face and build a business where every product interaction benefits from your investment in machine learning. It used deep learning to build an automated question answering system and a knowledge base based on that information.

Management 110

Management Machine Learning Experimentation Metrics 110

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

DataRobot Blog

DECEMBER 20, 2022

Yet, in the digital transformation era, the pricing and assessment of real estate assets is more difficult than described by brokers’ presentations, valuation reports, and traditional analytical approaches like hedonic models. Datarobot enables users to easily combine multiple datasets into a single training dataset for AI modeling.

Management 59

Management Machine Learning Optimization Modeling 59

O'Reilly on Data

MARCH 24, 2020

In a world focused on buzzword-driven models and algorithms, you’d be forgiven for forgetting about the unreasonable importance of data preparation and quality: your models are only as good as the data you feed them. The model and the data specification become more important than the code.

Machine Learning 346

Machine Learning Statistics Data Quality Modeling 346