Wed.Aug 03, 2022

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Microsoft’s Power BI Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Microsoft’s Power BI is one of its rapidly growing corporate analytics services. This self-service business intelligence tool is the latest and greatest in the data-driven industry. It eased the workaround for attaining data from several sources and consolidating it into one management […].

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Getting Started with SQL Cheatsheet

KDnuggets

Want to get started with SQL? Check out the latest cheatsheet from KDnuggets to get up to speed on the basics of one of the most popular, useful, and in-demand languages in the world of data science.

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Most Frequently Asked Data Warehouse Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Organizations are turning to cloud-based technology for efficient data collecting, reporting, and analysis in today’s fast-changing business environment. Data and analytics have become critical for firms to remain competitive. Reports, dashboards, and analytics tools are used by business users to derive insights […].

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A community developing a Hugging Face for customer data modeling

KDnuggets

A year ago, Objectiv started a community of 50 companies to develop a Hugging Face like open-source project for customer data modeling. They key objective: enable building data models on one team/company’s dataset, and then run them seamlessly on another.

Modeling 119
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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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Data Science Interview Part 3: ROC-AUC

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Previous articles on this data science interview series have discussed interview questions related to Regression Analysis, Classification Metrics, and Ensemble Approaches. This article will cover interview questions about Machine Learning concepts like ROC-AUC curves and tunning of Hyperparameter.

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Text AI Updates Drive Faster Business Value

DataRobot Blog

How can you save time in understanding the impact of language when working with text in ML models ? With tens of thousands of Text AI projects, DataRobot has helped organizations unlock insights from text and generate predictions with text models—from assisting with customer support ticket triage to predicting real estate sale prices. Continuing to build on previously released Text AI capabilities, DataRobot AI Cloud introduces new features to help with language detection, blueprint optimization

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15 Lessons from the Data Story Creative Process

Juice Analytics

What do you get when you put a Data Scientist and a Data Storyteller in a room full of executives for two days? Sorry, no punchline…this is serious. The answer is The Data Story Creative Process (DSCP) workshop — a hands-on, case study-based learning event that teaches a framework for using data to drive informed action. We played with data, explored insights, structured stories, and discussed the barriers to reaching our audience.

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Blockchain Technology: Most Frequently Asked Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Blockchain technology is a distributed ledger that maintains transaction information is encrypted, immutable, or non-modifiable records (called blocks). A blockchain is a chain of information-containing blocks. Each block contains a log of the most recent transactions. When completed, it is added to […].

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4 Common Data Integrity Issues and How to Solve Them

Octopai

Seen on an online dating profile: Deep, thought-out analyst type searching for a partner with integrity. A significant other who is completely reliable. A soulmate who can help accurately assess situations and make the right choices in life’s big decisions. Or maybe that should be an “online data-ing profile”? Seeking: data with integrity. Integrity isn’t just a coveted trait for the partner of your dreams.

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Most Frequently Asked Cloud Computing Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The cloud comprises servers and a mix of networks, storage, service, and hardware, allowing businesses to save money and provide consumers with ease. Cloud is a collection of servers that can be accessed over the Internet, and all data is saved on […]. The post Most Frequently Asked Cloud Computing Interview Questions appeared first on Analytics Vidhya.

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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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Applying Fine Grained Security to Apache Spark

Cloudera

Fine grained access control (FGAC) with Spark. Apache Spark with its rich data APIs has been the processing engine of choice in a wide range of applications from data engineering to machine learning, but its security integration has been a pain point.t Many enterprise customers needi finer granularity of control, in particular at the column and row level (commonly known as Fine Grained Access Control or FGAC).

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Apache Zookeeper Architecture and Installation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Zookeeper in Hadoop can be considered a centralized repository where distributed applications can put data into and retrieve data from. It makes a distributed system work together as a whole using its synchronization, serialization, and coordination goals. For clarity, Zookeeper can be […].

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An "Everything Data" Approach to Smart Cities

Teradata

Teradata’s approach to the Smart City is an analytics-centric, city-data-ecosystem approach designed to give access across all relevant data. Find out more.

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Introduction to Graph Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this blog post, I will summarise graph data science and how simple python commands can get a lot of interesting and excellent insights and statistics. It has become one of the hottest areas to research in data science and machine learning […]. The post Introduction to Graph Data Science appeared first on Analytics Vidhya.

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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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Full Stack Everything? Organizational Intersections Between Data Science, Dev & Tech

KDnuggets

Breakthrough value is found when teams collaborate at their intersections to come up with innovative solutions.

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Data Marts for Data Engineers- Types and Implementation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Regarding data analytics, getting insights from a data mart instead of a data warehouse or external data sources can save companies time and produce more targeted results. The idea of ??data marts is not new – they’ve been around for at least […]. The post Data Marts for Data Engineers- Types and Implementation appeared first on Analytics Vidhya.

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KDnuggets News, August 3: 10 Most Used Tableau Functions • Is Domain Knowledge Important for Machine Learning?

KDnuggets

10 Most Used Tableau Functions • Is Domain Knowledge Important for Machine Learning? • ETL vs ELT: Data Integration Showdown • Free MLOps Crash Course for Beginners • 90% of Today’s Code is Written to Prevent Failure, and That’s a Problem.

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Medical AI and Federated Learning Power New Innovation

Domino Data Lab

What if machine learning and data scattered around the world held the keys to the cures for a variety of rare or new diseases? Until recently, it was often nearly impossible to use that data, due in part to the data privacy restrictions in place around the world. That’s starting to change, thanks to federated learning and the innovative work of doctors such as Mona Flores, head of medical AI at NVIDIA.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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What CEOs really need from today’s CIOs

CIO Business Intelligence

Every CIO position description contains some semblance of the same 12 role requirements. This list, which you all know and love, defines what CEOs currently want in their CIOs. But to my mind, the list does not represent what CEOs actually need from their CIOs. In today’s data economy, in which software and analytics have emerged as the key drivers of business, CEOs must rethink the silos and hierarchies that fueled the businesses of the past.

Finance 145
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Sustainability Reporting: A Modern Finance Imperative

Jet Global

ESG reporting is rapidly becoming a key focus area for finance teams around the world. ESG stands for “environmental, social, and governance.” It’s a set of standards through which companies can report metrics that indicate how well their activities align with issues of environmental stewardship and social issues. In late 2021, the International Accounting Standards Board (IASB) announced the creation of a new ESG reporting standard.

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