Thu.Aug 12, 2021

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How To Perform Exploratory Data Analysis -A Guide for Beginners

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Exploratory Data Analysis is a set of techniques that. The post How To Perform Exploratory Data Analysis -A Guide for Beginners appeared first on Analytics Vidhya.

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DBTA Readers’ Choice Awards, 2021

DataKitchen

The post DBTA Readers’ Choice Awards, 2021 first appeared on DataKitchen.

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A Hands-on Guide to Build Your First Convolutional Neural Network Model

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview This article will briefly discuss CNNs, a special variant. The post A Hands-on Guide to Build Your First Convolutional Neural Network Model appeared first on Analytics Vidhya.

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The Foundations of a Modern Data-Driven Organisation: Change from Within (part 2 of 2)

Cloudera

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. However, the important role data occupies extends beyond customer experience and revenue, as it becomes increasingly central in optimizing internal processes for the long-term growth of an organization.

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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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Sentiment Analysis Using Bidirectional Stacked LSTM

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Sentiment Analysis Sentiment Analysis is the process of finding the. The post Sentiment Analysis Using Bidirectional Stacked LSTM appeared first on Analytics Vidhya.

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Beer Industry Buzz: How Data Helps Buyers Find Their Next Brew

Sisense

Blog. Do we live in a golden age of beer? Indications show that this centuries-old beverage of choice is having a modern renaissance, in terms of both quality and variety. Beer culture has risen in the US and worldwide, with over a half-trillion USD in sales annually ?— and so has worldwide innovation within and outside the industry. Options have exploded in recent years.

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Data Exploration with Pandas Profiler and D-Tale

Domino Data Lab

We all have heard how data is the new oil. I always say that if that is the case, we need to go through some refinement process before that raw oil is converted into useful products. For data, this refinement includes doing some cleaning and manipulations that provide a better understanding of the information that we are dealing with.

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Sea, QA, and Sun: Meet Kateryna and Arash, Software Engineers in Test at Dataiku!

Dataiku

Ever wanted to know more about the people behind your favorite Everyday AI platform? You're in luck — every few weeks, meet some of the humans at Dataiku working to ensure customers and users find success on their path to Everyday AI. This week, we spoke with Arash and Kateryna who are both software engineers in test working on our engineering team.

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Use decision modeling and business rules automation to drive decision transparency

Decision Management Solutions

The combination of decision models, built using industry standard notation like the Decision Model and Notation or DMN standard, and business rules creates transparency in your decision making. Decision models and business rules ensure that business owners, legal and compliance, and ML/AI teams can all participate in reviewing your decision-making. Because you know which business rules were applied, you can ensure that your decisions are compliant, transparent and explainable.

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Data Exploration with Pandas Profiler and D-Tale

Domino Data Lab

We all have heard how data is the new oil. I always say that if that is the case, we need to go through some refinement process before that raw oil is converted into useful products. For data, this refinement includes doing some cleaning and manipulations that provide a better understanding of the information that we are dealing with. In a previous blog , we have covered how Pandas Profiling can supercharge the data exploration required to bring our data into a predictive modelling phase.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Decisions and decision services will make ML/AI pluggable into your existing infrastructure

Decision Management Solutions

Focusing on decisions and making decision services a core element of your IT infrastructure ensures your ML/AI algorithms can be effectively integrated into your business processes and systems. With your IT department managing the decision service architecture, the ML/AI team can focus on building the algorithms that will make a difference not on being their own IT department.

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How Knowledge Graphs Can Help Large Healthcare Institutions Track the Impact of Faculty Research

Ontotext

One of our clients is a major children’s hospital in the Midwestern United States. Apart from being a large medical service provider, the institution is also a major research center with several hundred faculty members engaged in a variety of scientific activities beyond their medical duties. Between them, the faculty members have published more than ten thousand peer-reviewed scientific articles, many in top ranking Pediatrics journals.

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Use business rules and ML/AI together as complementary technologies

Decision Management Solutions

Real-world problems require ML/AI algorithms that turn your data into insights to be combined with policies, regulations, best practices and business domain expertise. Only when ML/AI algorithms are combined with business rules can decisions be made and business value created. Treating business rules and ML/AI technology as a pair ensures your algorithms operate inside the legal and ethical guiderails you set for them.

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Strided Inference for Object Detection: A Use-case for Small Symbols in Floor Plans

bridgei2i

Strided Inference for Object Detection: A Use-case for Small Symbols in Floor Plans. Introduction. Construction of any kind can be a complex, time-consuming and people-intensive affair. Currently, mapping architectural floor plans or blueprints with guidelines from codebooks is a manual process in most countries. Several architecture firms work with community development companies to ensure safety and regulatory compliance.

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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