Mon.Jun 07, 2021

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What Is ‘Equity As Code,’ And How Can It Eliminate AI Bias?

DataKitchen

The primary source of information about DataOps is from vendors (like DataKitchen) who sell enterprise software into the fast-growing DataOps market. There are over 70 vendors that would be happy to assist in your DataOps initiative. Here’s something you likely won’t hear from any of them (except us) – you can start your DataOps journey without buying any software.

Testing 130
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Cohort Analysis Using Python For Beginners- A Hands-On Tutorial

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon After understanding and working with this hands-on tutorial, you will. The post Cohort Analysis Using Python For Beginners- A Hands-On Tutorial appeared first on Analytics Vidhya.

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What is new in Cloudera Streaming Analytics 1.4?

Cloudera

At the end of March, we released the first version of Cloudera SQL StreamBuilder as part of CSA 1.3. It enabled users to easily write, run and manage real-time SQL queries on streams from Apache Kafka with an exceptionally smooth user experience. . Since then, we have been working hard to expose the full power of Apache Flink SQL and the existing Data Warehousing tools in CDP to combine it into a state-of-the-art real-time analytics platform.

Analytics 110
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Complete Guide to Chebyshev’s Inequality and WLLN in Statistics for Data Science

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Chebyshev’s inequality and Weak law of large numbers are very. The post Complete Guide to Chebyshev’s Inequality and WLLN in Statistics for Data Science appeared first on Analytics Vidhya.

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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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Cloudera named a Strong Performer in The Forrester Wave™: Streaming Analytics, Q2 2021

Cloudera

Cloudera has been named as a Strong Performer in the Forrester Wave for Streaming Analytics, Q2 2021. We are excited to be recognized in this wave at, what we consider to be, such a strong position. We are proud to have been named as one of “ The 14 providers that matter most ” in streaming analytics. The report states that richness of analytics, development tool options and near-effortless scalability are what streaming analytics customers should look for in a provider. .

IoT 105
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Performance Testing ML Serving APIs With Locust

Analytics Vidhya

ArticleVideo Book “Just as athletes can’t win without a sophisticated mixture of strategy, form, attitude, tactics, and speed, performance engineering requires a good collection. The post Performance Testing ML Serving APIs With Locust appeared first on Analytics Vidhya.

Testing 274

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Build ResNet from Scratch With Python !

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction There have been a series of breakthroughs in the field. The post Build ResNet from Scratch With Python ! appeared first on Analytics Vidhya.

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Role of Cloud Computing and Going Back to Work in the Post-Pandemic

Smart Data Collective

Cloud computing has been integral to the future of the economy. Countless companies are using the cloud to get a number of new benefits and have a stronger edge. Cloud computing may prove to be more important than ever as the pandemic starts to come to an end. What is the Role of Cloud Computing in the Post-Pandemic Economy? Virtually everybody agrees that 2020 was a year of peril and uncertainty.

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Sign Language Recognition for Computer Vision Enthusiasts

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon INTRODUCTION Conversing with people having a hearing disability is a major. The post Sign Language Recognition for Computer Vision Enthusiasts appeared first on Analytics Vidhya.

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Cloudera Streaming Analytics 1.4: the unification of SQL batch and streaming

Cloudera

In October of 2020 Cloudera acquired Eventador and Cloudera Streaming Analytics (CSA) 1.3.0 was released early in 2021. It was the first release to incorporate SQL Stream Builder (SSB) from the acquisition, and brought rich SQL processing to the already robust Apache Flink offering. The team’s focus turned to bringing Flink Data Definition Language ( DDL) and the batch interface into SSB with that completed.

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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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Responsible and Explainable AI Along the ML Pipeline With Dataiku

Dataiku

A key challenge on the journey to Enterprise AI is transitioning to more responsible and trustworthy AI systems. During the 2021 Dataiku Product Days, Triveni Gandhi, Dataiku senior industry data scientist, and Du Phan, Dataiku research scientist, shared some key features of Dataiku that users can lean on to successfully make the shift.

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Let’s Talk About Your Development Environment

Tim Mitchell

Let’s talk about your development environment. Specifically, I’d like to chat with you about the virtual space where your data architecture team, software developers, and information curators do their development and testing work. A proper development environment is logically separated from the production environment, and is often further partitioned into different realms for initial development, data or functional validation, and.

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Top 9 Search Engine Optimization (SEO) KPIs & Metrics You Must Track

datapine

Regardless of the type of website you back, your SEO efforts determine its success and performance. As a website owner, you might already be implementing several digital marketing and SEO strategies to drive performance through your website. However, very few know that an efficient way to do so is by tracking and managing the KPI metrics which would portray the SEO performance of your website.

Metrics 205
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Improving Sales Cycles with Infused Analytics

Sisense

Blog. Your data’s value depends on how useful you can make it — in other words, can it answer your most pressing questions? When companies put their data to work by infusing analytics into daily tasks and business operations, they can gain critical visibility into what produces results and what doesn’t. According to a recent survey from Talend, only 48% of sales and marketing executives use data and analytics to make decisions.

Sales 52
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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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Alation + Snowflake: An Integrated Approach to Data Governance

Alation

Data governance helps business users make faster, more informed business decisions. But data governance can be difficult without the right tools and processes. One must answer core questions, like, What is data? Who can use it? How can they use it? These are not simple questions for an enterprise to answer. As enterprises continue on their governance journeys, they’ve had to decide between the need to reduce risk versus the need to democratize data.