Thu.Jan 20, 2022

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How to Answer Data Science Coding Interview Questions

KDnuggets

Use this checklist to make sure your answer to the data science coding interview questions is on the right track.

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Boosting in Machine Learning: Definition, Functions, Types, and Features

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Boosting is a key topic in machine learning. Numerous analysts are perplexed by the meaning of this phrase. As a result, in this article, we are going to define and explain Machine Learning boosting. With the help of “boosting,” machine learning models are […].

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The High Paying Side Hustles for Data Scientists

KDnuggets

Learn about some unconventional ways to boost your income by freelancing, contracting, copywriting, career counseling, and consultancy.

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Complete Guide on Rest API with Python and Flask

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Hello, I hope you are fine. I want to welcome you to a beautiful article on creating a REST API using Flask. In one of our previous articles, we have learned the basics of Flask and how to set it. We have made one […]. The post Complete Guide on Rest API with Python and Flask 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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Artificial Intelligence Project Ideas for 2022

KDnuggets

In this article, I will provide you with a list of artificial intelligence project ideas that would look great on your resume. .

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Image Classification using Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Dear readers, In this blog, we will be discussing how to perform image classification using four popular machine learning algorithms namely, Random Forest Classifier, KNN, Decision Tree Classifier, and Naive Bayes classifier. We will directly jump into implementation step-by-step. At the end of the […].

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Introduction to the Neural Network Model, Glossary, and Backpropagation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction If you’re a software developer who’s interested in learning how neural networks function, you’ve come to the perfect spot. We will assist novices to understand what neural networks are, what a neural network model is, and how to expand their knowledge to other […].

Modeling 338
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How to Deliver Data Quality with Data Governance: Ryan Doupe, CDO of American Fidelity, 9-Step Process

Alation

Several weeks ago (prior to the Omicron wave), I got to attend my first conference in roughly two years: Dataversity’s Data Quality and Information Quality Conference. Ryan Doupe, Chief Data Officer of American Fidelity, held a thought-provoking session that resonated with me. In Ryan’s “9-Step Process for Better Data Quality” he discussed the processes for generating data that business leaders consider trustworthy.

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A brief introduction to Multilevel Modelling

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Table of contents Introduction Multilevel Models Advantages of Multilevel models When do we use Multilevel Models Types of Multilevel Model Random intercept model Random coefficient model Hypothesis testing: Likelihood Ratio Testing End-Note Introduction Suppose, you have a dataset of faculty salaries of a university […].

Modeling 338
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Sisense and Profusion Partner to Create new Data Academy to Scale Up Services to Global Customers

Sisense

Blog. Sisense has partnered up with Profusion to create the Profusion Data Academy. Profusion is a data science and multichannel marketing services consultancy that will now manage virtual courses like UX Dashboard Design and Blox. Profusion will now be responsible for all course administration and delivery. The courses will help current customers learn how to optimize customer engagement and operations.

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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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NLP Tutorials Part II: Feature Extraction

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Hey Folks! Welcome to the NLP from zero to advanced series on analytics Vidhya where we are covering all the NLP topics from beginner to the advanced level. In the last article, we have seen various text processing techniques with examples. If you haven’t […]. The post NLP Tutorials Part II: Feature Extraction appeared first on Analytics Vidhya.

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Go Fast and Far Using Data Virtualization

Data Virtualization

Reading Time: 3 minutes We are always focused on making things “Go Fast” but how do we make sure we future proof our data architecture and ensure that we can “Go Far”? Technologies change constantly within organizations and having a flexible architecture is key. The post Go Fast and Far Using Data Virtualization appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Log Parsing using Regular Expressions and Scala in Spark

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, I am going to explain, how can we use log parsing with Spark and Scala to get meaningful data from unstructured data. In my experience, after parsing a lot of logs from different sources, I have found no data is […]. The post Log Parsing using Regular Expressions and Scala in Spark appeared first on Analytics Vidhya.

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Go Fast and Far Using Data Virtualization to help you Go Fast and Go Far

Data Virtualization

Reading Time: 3 minutes We are always focused on making things “Go Fast” but how do we make sure we future proof our data architecture and ensure that we can “Go Far”? Technologies change constantly within organizations and having a flexible architecture is key. The post Go Fast and Far Using Data Virtualization to help you Go Fast and Go Far appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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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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What is Data Lineage Software and Why Do You Need It?

Octopai

Know anyone who’s gone off the grid? It’s a popular trend , whether it’s motivated by the desire to live sustainably, to experience a slower, less distracted pace of life, or to disappear from the eyes of society. But while going-off-the-grid-and-becoming-untraceable might be wonderful for some human folks, it’s not what you want happening to your data.

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At Center Stage V: Embedding Graphs in Enterprise Architectures via GraphQL, Federation and Kafka

Ontotext

This next installment in our series of posts dedicated to Ontotext webinars has been long overdue. So far we have covered the capabilities and business applications of knowledge graphs as well as some of the major benefits of our RDF database – GraphDB. All of our webinars are available on demand, so if we pique your interest with any of these posts, you can request a free recording.

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Watch the Ninth Video in Our Snowflake Tutorial Series

CDW Research Hub

Snowflake is the data cloud that boasts instant elasticity, secure data sharing, and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering. Sirius’ Snowflake Immersion Days video series are virtual learning sessions designed to provide technical, hands-on training for data engineers and data analysts.

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DataRobot and Snowflake Healthcare Campaign

DataRobot

Shifting to Proactive Healthcare Delivery with AI. The Case for Change. The UK Government Health and Care Bill sets up Integrated Care Systems (ICSs) as legal entities from July 2022. While ICSs have been operating in shadow-format for a number of years, this long-awaited shift determines that health and care delivery in England is regionally managed and focused around the needs of the local population.

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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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Step-by-Step Guide to Month-End Close + Free Checklist

Jet Global

Month-end close can often be a stressful time for people on the finance and accounting team. In most companies, there’s a good deal of pressure to produce accurate financial statements as quickly as humanly possible. Enterprise resource planning (ERP) software automates many of these processes, making month-end closing procedures faster and easier than they were in years past.