Thu.Jul 21, 2022

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An Introduction to Hill Climbing Algorithm in AI

KDnuggets

Hill climbing is basically a search technique or informed search technique having different weights based on real numbers assigned to different nodes, branches, and goals in a path.

Algorithm 120
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Simplify Metrics on Apache Druid With Rill Data and Cloudera

Cloudera

Co-author: Mike Godwin, Head of Marketing, Rill Data. Cloudera has partnered with Rill Data, an expert in metrics at any scale, as Cloudera’s preferred ISV partner to provide technical expertise and support services for Apache Druid customers. We want Cloudera customers that rely on Apache Druid to know that their clusters are secure and supported by the Cloudera partner ecosystem.

BI 88
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Using Numpy’s argmax()

KDnuggets

A simple overview of using an often-misunderstood yet useful function in Python: Numpy's argmax(). Read the what, the how, and the why of argmax() here.

Python 108
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Case Study: Is Your NoSQL Data Hindering Real-Time Analytics? Savvy Solved It with Rockset.

Rockset

Rockset was incredibly easy to get started. We were literally up and running within a few hours. - Jeremy Evans, Co-founder and CTO, Savvy At Savvy , we have a lot of responsibility when it comes to data. Our customers are online consumer brands such as Brilliant.org , Flex and Simple Habit. They rely on our cloud-native service to easily build no-code interactive experiences such as video quizzes, calculators and listicles for their websites without the need for developers.

NoSQL 52
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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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Using the apply() Method with Pandas Dataframes

KDnuggets

Explore ways in which you can use apply () method to do different activities in a DataFrame.

Python 113
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What Is the Difference Between a Data Engineer, a Data Scientist, and a Data Analyst? | Propel Data Analytics Blog

Propel Data

In the “Big Data” industry, there are big differences among the work responsibilities of data scientists, data engineers, and data analysts.

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DS Building Blocks - Regression vs. Classification

DareData

If you are a non-technical business user / project manager in an AI / Data Science project, you probably feel a bit overwhelmed with all the technical terms thrown at you. Some examples of things you may have seen being juggled during a data science discussion: correlation, causality, regression, classification, neural networks, decision trees, among others.