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How to take machine learning from exploration to implementation

O'Reilly Media - Data

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Scalable Machine Learning for Data Cleaning.

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The future of data: A 5-pillar approach to modern data management

CIO

It was not alive because the business knowledge required to turn data into value was confined to individuals minds, Excel sheets or lost in analog signals. We are now deciphering rules from patterns in data, embedding business knowledge into ML models, and soon, AI agents will leverage this data to make decisions on behalf of companies.

Data 167
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Building a Beautiful Data Lakehouse

CIO

They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics. This dual-system architecture requires continuous engineering to ETL data between the two platforms. Learn more at [link]. . Intel® Technologies Move Analytics Forward.

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Pentaho Continues To Innovate: Data Science Pack Operationalizes Use of R and Weka

CTOvision

SAN JOSE, Calif. , June 3, 2014 /PRNewswire/ – Hadoop Summit – According to the O’Reilly Data Scientist Salary Survey , R is the most-used tool for data scientists, while Weka is a widely used and popular open source collection of machine learning algorithms. Learn more about the Pentaho Data Science Pack.

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New live online training courses

O'Reilly Media - Ideas

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 92
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Rebalancing through Recalibration: CIOs Operationalizing Pandemic-era Innovation

CIO

The technology initiatives that are expected to drive the most IT investment in 2023 security/risk management, data/business analytics, cloud-migration, application/legacy systems modernization, machine learning/AI, and customer experience technologies.

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Data – the Octane Accelerating Intelligent Connected Vehicles

Cloudera

In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale. The vehicle-to-cloud solution driving advanced use cases.

Data 108