Mon.Jan 30, 2023

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How to Develop Serverless Code Using Azure Functions?

Analytics Vidhya

Introduction Azure Functions is a serverless computing service provided by Azure that provides users a platform to write code without having to provision or manage infrastructure in response to a variety of events. Whether we are analyzing IoT data streams, managing scheduled events, processing document uploads, responding to database changes, etc. Azure functions allow developers […] The post How to Develop Serverless Code Using Azure Functions?

Coding 237
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Top Posts January 23-29: The ChatGPT Cheat Sheet

KDnuggets

The ChatGPT Cheat Sheet • ChatGPT as a Python Programming Assistant • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.

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Top 10 Applications of Sentiment Analysis in Business

Analytics Vidhya

Introduction We are all aware of the Internet’s explosive expansion as a primary source of information and a platform for opinion expression. It has now become essential to gather and analyze the ever-expanding data that follows. While in the past, manual analysis of data has been possible and even served us well, the same cannot […] The post Top 10 Applications of Sentiment Analysis in Business appeared first on Analytics Vidhya.

Data 234
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10 Pandas One Liners for Data Access, Manipulation, and Management

KDnuggets

These 10 one liners will help you start to access, manipulate, and manage data using Pandas.

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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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Introducing Upgrades to Databricks Notebooks - New Editor, Python Formatting, and More

databricks

Databricks Notebooks offers a simple, unified environment for anyone building Data and AI products. Today we are excited to introduce updates to the.

Python 93
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How to Effectively Use Pandas GroupBy

KDnuggets

Split the Pandas DataFrame into groups based on one or more columns and then apply various aggregation functions to each one of them.

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3 More SQL Aggregate Function Interview Questions for Data Science

KDnuggets

Lacking inspiration on how to prepare SQL aggregate functions for a job interview? Here are three interview question suggestions to get you out of a rut.

SQL 71
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What is Managerial Communication? Importance & Key Features

Edureka

Managerial communication is essential for effective leadership in any organizational setting. It involves using verbal, written, and nonverbal communication methods to convey messages from leaders to their employees and vice versa. As a leader, it is essential to understand how these different forms of communication can be used effectively to promote understanding, collaboration, and successful outcomes within an organization.

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What is Change Tracking in SQL Server? A Comprehensive Guide 101

Hevo

Organizations demand real-time data to fastrack their decision-making process based on the latest, most relevant data. Most businesses use 10+ applications and need to continuously update the data from their local data store to their data warehouses or databases like SQL Server.

SQL 52
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What Are the Different Types of Data Products?

Acceldata

Learn about the different types of data products and how data observability provides the foundation for building great data products.

Data 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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FinOps: Four Ways to Reduce Your BigQuery Storage Cost

Towards Data Science

Don’t overlook the cloud storage cost Continue reading on Towards Data Science »

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A Semester of HLS: An Internship Report

Tweag

Historically, tooling hasn’t been the strongest aspect of the Haskell ecosystem. However, it has come a long way. A major contribution from the last few years is the Haskell Language Server (HLS). I wanted to learn more about GHC internals, and the general compilation pipeline. What better way to learn about these than to work on HLS, helping further improve Haskell tooling in the meanwhile?

Coding 40
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Powering Millions of Real-Time Decisions with LyftLearn Serving

Lyft Engineering

By Hakan Baba & Mihir Mathur Photo by Alina Grubnyak on Unsplash Hundreds of millions of real-time decisions are made each day at Lyft by online machine learning models. These model-based decisions include price optimization for rides, incentives allocation for drivers, fraud detection, ETA prediction, and innumerable others that impact how riders move and drivers earn.

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Discovering Creative Insights in Promotional Artwork

Netflix Tech

By Grace Tang , Aneesh Vartakavi , Julija Bagdonaite , Cristina Segalin , and Vi Iyengar When members are shown a title on Netflix, the displayed artwork, trailers, and synopses are personalized. That means members see the assets that are most likely to help them make an informed choice. These assets are a critical source of information for the member to make a decision to watch, or not watch, a title.

Algorithm 102
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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How the Public Sector Can Maximize the Value of Dark Data

Cloudera

Have you ever considered how much data a single person generates in a day? Every web document, scanned document, email, social media post, and media download? One estimate states that “ on average, people will produce 463 exabytes of data per day by 2025.” Now consider that the federal government has approximately 2.8 million civilian employees and the department of defense has another 2 million active duty, Guardsmen, and Reservists.

Media 81
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How we manage our 1200 incident playbooks

Zalando Engineering

At Zalando, we use Incident Playbooks to support our on-call teams with emergency procedures that can be used to mitigate incidents. In this post, we describe how we structured incident playbooks, and how we manage these across 100+ on-call teams. Incident Playbooks - where are we now? We consolidated our incident playbooks as part of preparation for Cyber Week in 2019.

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Most important Data Engineering Concepts and Tools for Data Scientists

DareData

Learn the most important data engineering concepts that data scientists should be aware of. As the field of data science and machine learning continues to evolve, it is increasingly evident that data engineering cannot be separated from it. Gone are the days when organizations could rely on models trained and stored in notebooks without any structure, governance, or testing.

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Ramp Simplifies Data Architecture Management, Cuts Costs, and Delivers Market Insights to Customers at Scale

Snowflake

Ramp provides unparalleled revenue and market insights to customers. As it grew, the Ramp team spent more and more time focused on infrastructure rather than its unique data modeling approaches. That all changed when Ramp switched to a scalable, simple data cloud with Snowflake. Ramp is a cohort-based customer and revenue prediction platform that helps consumer brands predict performance with startling accuracy.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Why Telecommunications Value Location Data in the World of 5G

Precisely

In this age of rapid digital transformation, location data is more important than ever. That’s especially true for telecommunication companies; broadband connectivity is advancing to reach previously underserved areas. Telecom firms are re-evaluating their data strategies, striving to put the right structures in place to optimize service delivery, monetize assets, and reduce customer churn.

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How Retailers Optimize Merchandising and Assortment Planning Strategies with the Snowflake Retail Data Cloud 

Snowflake

The lingering effects of the global pandemic are merging with inflation to create a perfect storm for retailers looking to find the right inventory stature for the seasons ahead. Companies are getting squeezed between rising supply chain costs and falling consumer confidence. To succeed in this volatile market, McKinsey suggests that retailers “accelerate decision-making tenfold.

Retail 52