erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. What Is Metadata? Analyst firm Gartner defines metadata as “information that describes various facets of an information asset to improve its usability throughout its life cycle.

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Metadata Management Data Quality Cost-Benefit 110

Analytics Vidhya

FEBRUARY 19, 2021

ArticleVideos Introduction “I understand the concepts well. Why should I focus on data science projects in my data science journey?” I have been in. The post 6 Open Source Data Science Projects That Provide an Edge to Your Portfolio appeared first on Analytics Vidhya.

Data Science 399

Data Science Analytics Machine Learning 399

O'Reilly on Data

FEBRUARY 19, 2021

Here are some of the most significant themes we see as we look toward 2021. Some of these are emerging topics and others are developments on existing concepts, but all of them will inform our thinking in the coming year. MLOps FTW. MLOps attempts to bridge the gap between Machine Learning (ML) applications and the CI/CD pipelines that have become standard practice.

Data Lake 289

Data Lake Data Warehouse Machine Learning Modeling 289

Analytics Vidhya

FEBRUARY 19, 2021

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction For Data Analysts and ML professionals, the understanding of how. The post Decoding the Memory Nomenclature in modern-day computers, Starting with RAM appeared first on Analytics Vidhya.

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Data Science Publishing Analytics Machine Learning 228

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Dataiku

FEBRUARY 19, 2021

In January, our Dataiku Lab team presented their annual findings for up-and-coming machine learning (ML) trends , based on the work they do in machine learning research. In this series, we're going to break up their key topics (trustworthy ML, human-in-the-loop ML, causality, and the connection between reinforcement learning and AutoML) so they're easy for you to digest as you aim to optimize your ML projects in 2021.

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Machine Learning Optimization 134

DataCamp

FEBRUARY 19, 2021

Our infographic explains how the open-source revolution has transformed data science and maps out how to become fluent in data manipulation, data visualization, machine learning, reporting and communicating data, and natural language processing.

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Data Science Machine Learning Visualization Reporting 116

InsightOut

FEBRUARY 19, 2021

As we put a tumultuous year behind us, it’s time to examine how we will approach data visualization in 2021. How will we leverage this increased data literacy, and what are the data visualization best practices for 2021 that we should incorporate into our work?

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Visualization 52

Domino Data Lab

FEBRUARY 19, 2021

spaCy is a python library that provides capabilities to conduct advanced natural language processing analysis and build models that can underpin document analysis, chatbot capabilities, and all other forms of text analysis. The spaCy library is available under the MIT license and is developed primarily by Matthew Honnibal and Ines Montani from E xplosion.AI.

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Enterprise Data Science Modeling Visualization 119

InsightOut

FEBRUARY 19, 2021

Data visualization and analytics are some of the fastest-growing digital transformation initiatives for businesses today. In this article, we explore some of the currently trending topics and new developments in the field.

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Visualization Digital Transformation Analytics 52

DataRobot

FEBRUARY 19, 2021

Banks regularly create campaigns to offer new products to their customers. According to market research, it’s easier to sell a product to an existing customer than to sell a product to a new, qualified prospect. In today’s marketplace, banks provide a variety of deposit, lending, and investment products to individuals and businesses, but a good proportion of current customers might only use one or two of them.

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Machine Learning Marketing Modeling Risk 98

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

CDW Research Hub

FEBRUARY 19, 2021

IBM FlashSystem 5200 | Image courtesy of IBM. On February 9, IBM introduced a new FlashSystem family of entry-level, all-flash storage systems with full enterprise capabilities and full container support. Minimize cost, maximize efficiency. The IBM FlashSystem 5200 is a compact, end-to-end NVMe platform that delivers the full capabilities of IBM FlashCore modules, storage-class memory and IBM Spectrum Virtualize for the entry-level enterprise at an affordable price.

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Enterprise Data Processing Software Dashboards 52