Remove 2021 Remove Datasets Remove Machine Learning
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The DataOps Vendor Landscape, 2021

DataKitchen

Download the 2021 DataOps Vendor Landscape here. DataOps is a hot topic in 2021. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Collaboration and Sharing.

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Bring Geospatial Analytics Across Disparate Datasets Into Your Toolkit With The Unfolded Platform

Data Engineering Podcast

Built to handle all of your real-world data, from videos and images, to 3d point clouds and geospatial records, to industry specific file formats, Unstruk streamlines your workflow by converting human hours into machine minutes, and automatically alerting you to insights found in your dark data.

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Apache Spark MLlib vs Scikit-learn: Building Machine Learning Pipelines

Towards Data Science

Code implementations for ML pipelines: from raw data to predictions Photo by Rodion Kutsaiev on Unsplash Real-life machine learning involves a series of tasks to prepare the data before the magic predictions take place. First, let’s load the datasets. Source: The author.

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Next Stop – Predicting on Data with Cloudera Machine Learning

Cloudera

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. So let’s introduce Cloudera Machine Learning (CML) and discuss how it addresses the aforementioned silo issues.

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7 Types of Classification Algorithms in Machine Learning

ProjectPro

This blog will help you master the fundamentals of classification machine learning algorithms with their pros and cons. You will also explore some exciting machine learning project ideas that implement different types of classification algorithms. So, without much ado, let's dive in.

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Apache Ozone Powers Data Science in CDP Private Cloud

Cloudera

Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads. data.csv','vaccine-dataset/data.csv'). import boto3. s3 = boto3.resource('s3',

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Celebrating Data Superheroes: The 2021 Data Impact Awards Winners

Cloudera

Given the way we have seen communities and workplace cultures come together and stand for change over what has been a disruptive 20 months, we are proud to introduce the People First category to the 2021 DIA. So, without further ado, it is with great delight that we officially publish the 2021 Data Impact Award winners!

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