Wed.Jun 22, 2022

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Data Science Career: 7 Expectations vs Reality

KDnuggets

Let’s get into some of the expectations of data scientists – and the reality they face.

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Are You Ready for Cloud Regulations?

Cloudera

Across the globe, cloud concentration risk is coming under greater scrutiny. The UK HM Treasury department recently issued a policy paper “ Critical Third Parties to the Finance Sector.” The paper is a proposal to enable oversight of third parties providing critical services to the UK financial system. The proposal would grant authority to classify a third party as “critical” to the financial stability and welfare of the UK financial system, and then provide governance in order to minimize the p

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Machine Learning Is Not Like Your Brain Part 4: The Neuron’s Limited Ability to Represent Precise Values

KDnuggets

In the fourth installment, we focus on a fundamental issue: it is difficult to represent numerical values in neurons and impractical to represent them with precision.

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Tutorial: Import Relational Data Into Neo4j with Apache Hop - Neo4j Output

know.bi

This guide will teach you the process of exporting data from a relational database (MySQL) and importing it into a graph database (Neo4j). You will learn how to take data from the relational system and to the graph by translating the schema and using Apache Hop as import tools. This Tutorial uses a specific data set, but the principles in this tutorial can be applied and reused with any data domain.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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KDnuggets News, June 22: Primary Supervised Learning Algorithms Used in Machine Learning; Top 15 Books to Master Data Strategy

KDnuggets

Primary Supervised Learning Algorithms Used in Machine Learning; Top 15 Books to Master Data Strategy; Top Data Science Podcasts for 2022; Prepare Your Data for Effective Tableau & Power BI Dashboards; Generate Synthetic Time-series Data with Open-source Tools.

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Pipeline Academy on Hiatus

Pipeline Data Engineering

It’s time to share some important news with you: we’re taking time off to focus on our health and families, the launch of new data engineering cohorts is on hold until further notice. Health and family Running a bootstrapped company in times of repeated economic crises and data industry vibe shifts is a gift and a curse at the same time. No surprises here: it can be highly rewarding and joyful, but it can be exhausting and stressful as well.

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International Women in Engineering Day (June 23rd)

Zalando Engineering

What were the biggest learnings in your career so far? And what advice would you give your younger self today? How do you get ahead in your career? We’re celebrating International Women in Engineering Day by talking to three senior Zalando Women in Tech: Mahak Swami , Engineering Manager; Floriane Gramlich , Director of Product Payments; and Ana Peleteiro Ramallo , Head of Applied Science.

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What is the Rationale for Scrum Teams Implementing Short Sprints?

U-Next

Scrum is a framework for developing complicated products under the Agile product development umbrella. The term scrum is also used during a sprint to describe the daily standup sessions. A sprint is one iteration of a continuous development cycle that is timed. During a Sprint, the team must complete a set amount of work and prepare it for review. Sprints are the smallest and most reliable time intervals used by scrum teams.

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Applying Data Pipeline Principles in Practice: Exploring the Kafka Summit Keynote Demo

Confluent

How to use data pipelines, unlock the benefits of real-time data flow, and achieve seamless data streaming and analytics at scale with Confluent.