Mon.Sep 26, 2022

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Classify Images of IRIS Dataset and Hyperparameters

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Have you ever thought about how machines can tell whether a person has a disease or not by just analyzing their images? Have you heard of a recent revolutionary invention of FastTag, which significantly reduces the waiting time of vehicles in tool […]. The post Classify Images of IRIS Dataset and Hyperparameters appeared first on Analytics Vidhya.

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Lessons from a Senior Data Scientist

KDnuggets

The aim of this article was for me to gain a deeper insight into the life of a senior data scientist and how their experience can be used as lessons for up-and-coming data scientists.

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Sentiment Analysis on Flipkart Dataset

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Sentiment Analysis is key to determining the emotion of the reviews given by the customer. Sentiment analysis is mainly used in e-commerce platforms or any platform which requires customer opinion to make people express their experience of that product or a thing. […].

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A 12-Point Checklist for Public and Open Data Sites (with Examples)

Juice Analytics

Let the data run free! Government organizations, academic institutions, non-profits, and even passionate sports fans are gathering and sharing valuable data sets with the public. The topics are wide ranging, from climate change to health to inequality to happiness. It is a powerful way to support a cause and encourage data-driven analysis. These open data sets are set loose on a website in hopes that interested visitors will come flocking.

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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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Web Scrapping- Tool for Data Engineering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Have you ever thought of a means to get new data? The usefulness of the topic is one that easily helps other disciplines. Web content could be required in a way that makes it less effective to visit and use a website […]. The post Web Scrapping- Tool for Data Engineering appeared first on Analytics Vidhya.

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4 of the Biggest Data Breaches in Banking

Smart Data Collective

Big data is causing a number of data breaches. Sadly, they often affect banks. Banking is an important sector of the world. People use finances daily, but it doesn’t mean they are completely protected from data breaches. This article discusses four of the most significant data breaches in banking…. We put a considerable amount of trust in our banks.

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5 Python Interview Questions & Answers

KDnuggets

The Python coding questions challenge your problem-solving and programming skills.

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Sentiment Analysis with NLP

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In today’s world, we know that we interact greatly with our smart devices. Have you ever wondered how your Smartphones and your personal computers interact? That is where NLP comes into the picture. In simple terms, NLP helps to teach computers to […]. The post Sentiment Analysis with NLP appeared first on Analytics Vidhya.

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Creating a holistic 360-degree “citizen” view with data and AI

IBM Big Data Hub

Achieving health equity is perhaps the greatest challenge facing US public health officials today. In a 2021 report released by the Commonwealth Fund, the nation ranked last among high-income countries in access to healthcare and equity, despite spending a far greater share of its GDP on healthcare. Healthcare disparities are closely linked to race, ethnicity, gender and other demographic and socioeconomic issues surrounding access, cost and quality of care.

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Non-Generalization Principles and Transfer Learning Technique

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The ability to reimplement a skill or knowledge from one, the original knowledge bearer, to a new knowledge “needer”, is referred to as transfer learning. These could be skilled in math, music, or cookery. In this post, we will discover how this […]. The post Non-Generalization Principles and Transfer Learning Technique 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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Is your conversational AI setting the right tone?

IBM Big Data Hub

Conversational AI is too artificial. Nothing is more frustrating than calling a customer support line to be greeted by a monotone, robotic, automated voice. The voice on the other end of the phone is taking painfully long to read you the menu options. You’re two seconds away from either hanging up, screaming “representative” into the phone, or pounding on the zero button until you reach a human agent.

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How AI is Revolutionizing the Healthcare Sector?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to AI in Healthcare Artificial Intelligence (AI) has made a great impact across a wide range of industries, especially healthcare. The application of AI in the healthcare industry fundamentally improvises medical diagnosis, treatments, and the future of medicine. This blog covers some […].

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Data Transformation: How to Transform Data More Efficiently

Dataiku

Wouldn’t it be great if data just came to you ready and primed for analysis? Unfortunately, as data often comes from different sources, with different definitions, and without standardization, it nearly always requires some modification to be useful for its target destination. Whether it’s being used as part of an Extract Transform Load process in data warehousing (or in some cases with modern cloud data stacks , ELT), for use in ML models, or simply ad hoc analysis, data transformation is a key

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Can CFOs Really Benefit from Business Intelligence Services? (hint: incorporate Planning capabilities)

Paris Technologies

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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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Top 4 Blockchain Trends Shaping Business in 2022

Smart Data Collective

An increasing number of businesses are interested in investing in blockchain technology. The technology is attracting the attention of global business executives due to its huge real-world applications. In addition, blockchain applications are more scalable and secure compared to traditional apps. Enterprise blockchain will greatly benefit businesses due to the continual expansion of digital ecosystems.

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How to reduce the environmental impact of data storage

Data Insight

The Cloud now has a greater carbon footprint than the airline industry and a single data centre can consume the equivalent electricity of 50,000 homes.

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Here’s Why a Bootcamp Won’t Make You a Data Scientist

Smart Data Collective

Bootcamps are en vogue in all sorts of industries, with the idea being that intensive training over a short period can bring newcomers up to speed with complex concepts in a flash. This sounds good in theory, and in many contexts, it has a lot of clout. But the field of data science isn’t exactly suited to the quick and dirty approach to employee education.