Wed.Nov 24, 2021

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Analytic Ops: The Last Mile of Data Ops

David Menninger's Analyst Perspectives

Organizations have become more agile and responsive, in part, as a result of being more agile with their information technology. Adopting a DevOps approach to application deployment has allowed organizations to deploy new and revised applications more quickly. DataOps is enabling organizations to be more agile in their data processes. As organizations are embracing artificial intelligence (AI) and machine learning (ML), they are recognizing the need to adopt MLOps.

Analytics 277
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Understanding K-means Clustering in Machine Learning(With Examples)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction With the rising use of the Internet in today’s society, the quantity of data created is incomprehensibly huge. Even though the nature of individual data is straightforward, the sheer amount of data to be analyzed makes processing difficult for even computers. To […].

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Top 4 Data Integration Tools for Modern Enterprises

KDnuggets

Maintaining a centralized data repository can simplify your business intelligence initiatives. Here are four data integration tools that can make data more valuable for modern enterprises.

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An Introduction to Separable Convolutions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. We know how useful convolutional neural networks are. CNNs have transformed image analytics. They are the most widely used building blocks for solving problems involving images. Many architectures like ResNet, Google Net have achieved exceptional accuracies in image classification tasks are built with […].

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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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Accelerating AI with MLOps

KDnuggets

Companies are racing to use AI, but despite its vast potential, most AI projects fail. Examining and resolving operational issues upfront can help AI initiatives reach their full potential.

IT 145
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A Comprehensive Guide on Microsoft Excel for Data Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Table of Contents Introduction 15 Essential Excel Data Analysis Functions Methods for Data Analysis in Excel Data Analysis with Microsoft Excel Simple Linear Regression Model in Microsoft Excel Dataset Introduction to Excel for Data Analysis Data analysis is the process of […].

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Beginners Guide to Password Generator using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview What is a “password generator using python”? What exactly is a password? How to make it? What is “password generator using python”? When you are filling some passwords on sites like you are signing in on Analytics Vidhya through chrome, you will […].

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Using AI to Improve Demand Forecasts for the Peak Season

Dataiku

This is a blog post from our friends at Aimpoint Digital. Aimpoint Digital is a leading advanced analytics, data science, and engineering services firm that operates as the trusted advisor for companies looking to extract tangible value from data.

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3 ways to deal with SettingWithCopyWarning in Pandas

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. It doesn’t pay to ignore warnings. Even when they don’t make sense. – Debra Doyle One of the things I was taught while learning to code was to not be bothered by ‘Warnings’ in your code. “Focus on fixing major bugs […]. The post 3 ways to deal with SettingWithCopyWarning in Pandas appeared first on Analytics Vidhya.

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Propensity Matching to Create an Unbiased Training Set

Dataiku

As data scientists, we work on solving various business problems to make predictions on a given population where there isn’t a very easy (and cost effective) way of knowing if you have a true representative training set for the unlabeled population. For this blog, I am trying to predict the census tracts in the U.S. that will have above average counts of people who suffer from diabetes based on their social determinants of health.

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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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Can You Become a Data Scientist Online?

KDnuggets

Until November 29th, you can join over 1.5 million students around the globe and gain the skills of successful data science professionals with unlimited annual access to the 365 Data Science Program at 72% OFF. Read on to learn more!

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Does AI Decision-Making Drive Your Business?

DataRobot

It should. By the year 2030, AI will deliver economic growth of $15.7 trillion, according to PwC Research. Does your business need: To target its customers more precisely? Reduce its operational costs? Develop exciting new products? Increase the reliability of its supply chain? Whatever its requirements, applying data-driven AI strategies can help. Let’s look at some examples to see how AI applications can aid any organization, large or small. .

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What Everybody Ought To Know About BI For Marketing

FineReport

The digital marketing era is coming. Marketing has become a data-driven industry that requires fast data processing and intuitive demonstration. Social media, email, web-based advertising brings numberless data to companies. Marketers have to see to it that these data are fully made use of and can add positive value to their work. However, with the aid of BI, there are several ways to achieve these goals.

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Common Misconceptions About Differential Privacy

KDnuggets

This article will clarify some common misconceptions about differential privacy and what it guarantees.

IT 131
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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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How Cloudera Is Opening Doors for Underserved Youth

Cloudera

For underserved youth, the lack of educational opportunity can seriously hinder their development and future career prospects. Many are deprived of early childhood chances at experiencing the professional world, so a career in science, finance, IT, or marketing is a pipe dream. . Unless someone shows them it’s possible. At the Middle Tennessee and Peninsula chapters of the Boys & Girls Clubs, high school students are receiving an introduction into a new world of possibilities.

Finance 77
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Top 4 Data Integration Tools for Modern Enterprises

KDnuggets

Maintaining a centralized data repository can simplify your business intelligence initiatives. Here are four data integration tools that can make data more valuable for modern enterprises.

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Simplifying Migration to Amazon Redshift

Octopai

We’re big fans of Amazon Redshift. (Well, we’re big fans of data, so anything that makes it easier to store, access, analyze and utilize data is going to appeal to us.). We do have an eensy, teensy, tiny bone to pick with how Amazon Redshift portrays the ease of migrating to their platform. As the first of its reasons why to migrate to Redshift , Amazon says, “Amazon Redshift is fully managed and simple to use, enabling you to deploy a new data warehouse in minutes and load virtually any type of

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Accelerating AI with MLOps

KDnuggets

Companies are racing to use AI, but despite its vast potential, most AI projects fail. Examining and resolving operational issues upfront can help AI initiatives reach their full potential.

IT 78
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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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From Lockdown To Lift Off webinar recording

Data Insight

Data Insight and leaders from some of New Zealand’s most successful businesses including ANZ, SKY New Zealand and NZME share their learnings on navigating their businesses through some of the most challenging times, and how finding the right balance between data, people and digital tools ensures they thrive and don’t just survive.

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How Modern Cloud Platforms Can Help the iGaming Industry Grow?

BizAcuity

Cloud computing technology is slowly and steadily making its roots in the gaming industry. They can contribute immensely to the overall growth of the gaming sector. The application of cloud platforms provides several perks and opportunities for both businesses and customers alike. Cloud computing has already embraced other sectors like music and television.

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GraphDB Users Ask: What’s the Difference Between SPARQL and FedX Federation?

Ontotext

ONTOTEXT ANSWER: There are a few ways to federate different data sources with GraphDB and Ontotext Platform. Two of them achieve the same goal. SPARQL repositories can be federated with either standard SPARQL tools or by using FedX. This leads to the logical question: what’s the tradeoff between the two of them. Standard SPARQL federation is a manual tool.

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Can You Become a Data Scientist Online?

KDnuggets

Until November 29th, you can join over 1.5 million students around the globe and gain the skills of successful data science professionals with unlimited annual access to the 365 Data Science Program at 72% OFF. Read on to learn more!

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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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Common Misconceptions About Differential Privacy

KDnuggets

This article will clarify some common misconceptions about differential privacy and what it guarantees.

IT 63