Mon.Aug 09, 2021

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Explore the Magic Methods in Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Magic Methods Magic methods are special methods in python that have. The post Explore the Magic Methods in Python appeared first on Analytics Vidhya.

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Addressing Data Mesh Technical Challenges with DataOps

DataKitchen

Below is our third post (3 of 5) on combining data mesh with DataOps to foster greater innovation while addressing the challenges of a decentralized architecture. We’ve talked about data mesh in organizational terms (see our first post, “ What is a Data Mesh? ”) and how team structure supports agility. Let’s take a look at some technical aspects of data mesh so we can work our way towards a pharmaceutical industry application example. .

Testing 246
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Exploring Matplotlib Stylesheets For Data Visualization

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Matplotlib is a widely used library for data visualizations. Matplotlib. The post Exploring Matplotlib Stylesheets For Data Visualization appeared first on Analytics Vidhya.

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The Journey to an Enterprise Data Mesh

Dataiku

Everywhere one looks in the data blogs these days, people are expounding the freedom and scalability of a data mesh, but very little is being said about how one actually builds towards having this mystical mesh. While a microservices pattern aims to expose software as a network of discoverable, secure, and scalable atomic services, a data mesh conceives of data access and data services like inference engines as a similar set of composable data services.

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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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Deep Learning In Health Care -A Ray of Hope in the Medical World

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Objective A warm welcome to all the readers. This article is. The post Deep Learning In Health Care -A Ray of Hope in the Medical World appeared first on Analytics Vidhya.

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Company Cultures That Data-Driven Business Owners Can Learn Them

Smart Data Collective

Many companies refer to themselves as data-driven organizations. Unfortunately, not all of these companies use data analytics strategically enough to thrive. In order to become an effective data-driven business, it is necessary to understand what types of data to focus on. One of the most important things to do is use big data to study the effective decisions of other companies.

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Trusted AI and Detecting Bias with MLOps Governance

DataRobot

In an environment of increasing scrutiny, the need to deliver trusted AI has never been greater. However, many organizations don’t implement any feedback loop to monitor and control their models after they’re out in production. It is becoming increasingly important to mitigate algorithmic bias to prevent discrimination in use cases such as facial recognition and loan lending.

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Developing Vector AutoRegressive Model in Python!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction A univariate time series is a series that contains only. The post Developing Vector AutoRegressive Model in Python! appeared first on Analytics Vidhya.

Modeling 284
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8 Modeling Tools to Build Complex Algorithms

Domino Data Lab

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Nutanix Support and Beyond

Nutanix

Instead of making the customer understand how minor the issue was, I understood that the customer was stuck with something personal and professional that was a huge block for him, hence the priority here was to acknowledge his problem and help him resolve it quickly and easily.

IT 20
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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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Increase Analytics Influence: Leverage Predictive Metrics!

Occam's Razor

Almost all metrics you currently use have one common thread: They are almost all backward-looking. If you want to deepen the influence of data in your organization – and your personal influence – 30% of your analytics efforts should be centered around the use of forward-looking metrics. Predictive metrics! But first, let's take a small step back.

Metrics 142
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Demand for Data-Savvy Cybersecurity Professionals Grows In 2021

Smart Data Collective

Big data is becoming increasingly important in the cybersecurity profession. A number of IT security professionals are using big data and AI technology to create more robust cybersecurity solutions. As cybersecurity threats become more serious, the demand for data-savvy cybersecurity experts will continue to rise. This figure has already surged in 2021.

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8 Modeling Tools to Build Complex Algorithms

Domino Data Lab

For a model-driven enterprise, having access to the appropriate tools can mean the difference between operating at a loss with a string of late projects lingering ahead of you or exceeding productivity and profitability forecasts. This is no exaggeration by any means. With the right tools, your data science teams can focus on what they do best – testing, developing and deploying new models while driving forward-thinking innovation.

Modeling 111
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What is a Data Catalog? (and How to Build and Use One)

Octopai

What is a Data Catalog? A data catalog is a marketplace that organizes all the data assets in a company’s information landscape. Each data asset’s entry in the data catalog includes definitions, descriptions, ratings, data owner and steward, and more, making it simple to search for and identify the data you need for any given purpose. . Practical Uses and Benefits of a Data Catalog.

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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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Dashboard Monitoring Tool: Dig Into The Reality Through Digital World

FineReport

Have hundreds of thousands of numbers made you at a loss? Have you ever been annoyed about messy reports from different departments? Have you ever expected to resort to powerful tools to aid your business operation and management? Dashboard monitoring tool can be your wonderful aid. What is dashboard monitoring tool? Dashboard monitoring tool enables enterprises to monitor digital marketing channels and business performance easily and effectively.

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Spotlight on Sisense Notebooks: A New Code-First Approach to Analytics

Sisense

Blog. In our latest Sisense release, we came out with the first iteration of Notebooks, a new way to perform ad hoc analysis on disparate datasets, develop powerful charts that tell your data’s story, and provide users with a single platform for both in-depth analysis and BI that preserves data security and integrity. Read on to learn more about Notebooks and get answers to the most common questions people ask, straight from our Director of Product Management, Pat Bhatt. >>>Reveal de

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How to Design an Analytics Stack that Humans Actually Use

Alation

Julie Lemieux is the former Head of User Experience at Databricks and Founding Member of Chief, a private network for senior women leaders. In her current role as VP of UX, Design & Research at Sigma Computing, she deploys human-centric design to support data democratization and analysis. Less than 40 percent of Fortune 1000 companies are managing data as an asset and only 24 percent of executives consider their organization to be data-driven.