Fri.Jun 17, 2022

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Primary Supervised Learning Algorithms Used in Machine Learning

KDnuggets

In this tutorial, we are going to list some of the most common algorithms that are used in supervised learning along with a practical tutorial on such algorithms.

Algorithm 155
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IDC Perspective: Accelerate Data Streaming Adoption With Confluent

Confluent

IDC shares takeaways from Kafka Summit London, how data streaming maximizes real-time data connections, revenue growth, and the ability to win in a digital-first world.

Kafka 57
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A Gentle Introduction to Natural Language Processing

KDnuggets

This gentle introduction to NLP covers the basics, and will help you move along to more advanced topics ASAP.

Process 117
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How to Build a Culture of Data Trust: A Conversation with Hilary Mason

Monte Carlo

As more companies invest in more data tools, initiatives, and teams, the appetite to become a “data-driven organization” continues to grow. But if stakeholders, consumers, and leaders across the company don’t trust that the data flowing through your pipelines and populating your products is useful and reliable, all that investment is for naught. So how can a team build a culture of data trust—especially within a complex environment?

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Build Hybrid Data Pipelines and Enable Universal Connectivity With CDF-PC Inbound Connections

Cloudera

In the second blog of the Universal Data Distribution blog series , we explored how Cloudera DataFlow for the Public Cloud (CDF-PC) can help you implement use cases like data lakehouse and data warehouse ingest, cybersecurity, and log optimization, as well as IoT and streaming data collection. A key requirement for these use cases is the ability to not only actively pull data from source systems but to receive data that is being pushed from various sources to the central distribution service. .