Sat.Jun 25, 2022 - Fri.Jul 01, 2022

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24 SQL Questions You Might See on Your Next Interview

KDnuggets

Preparing for the SQL job interview can be overwhelming enough. You don’t need someone telling you that you need to know everything on top of that! Be smart and focus on preparing the SQL questions that appear most often at the job interview.

SQL 400
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Stemming vs Lemmatization in NLP: Must-Know Differences

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the field of Natural Language Processing i.e., NLP, Lemmatization and Stemming are Text Normalization techniques. These techniques are used to prepare words, text, and documents for further processing. Languages such as English, Hindi consists of several words which are often derived […].

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Analysis of compound curse words used on Reddit

FlowingData

As you know, Reddit is typically a sophisticated place of kind and pleasant conversation. So Colin Morris analyzed the usage of compound pejoratives in Reddit comments : The full “matrix” of combinations is surprisingly dense. Of the ~4,800 possible compounds, more than half occurred in at least one comment. The most frequent compound, dumbass , appears in 3.6 million comments, but there’s also a long tail of many rare terms, including 444 hapax legomena (terms which appear only once

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8 Reasons Data-Driven Companies Are Utilizing Email Marketing

Smart Data Collective

Big data is at the heart of all successful, modern marketing strategies. Companies that engage in email marketing have discovered that big data is particularly effective. When you are running a data-driven company, you should seriously consider investing in email marketing campaigns. Keep reading to learn more about the benefits. Data-Driven Companies are Discovering the Benefits of Investing in Email Marketing.

Big Data 135
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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Top Posts June 20-26: 20 Basic Linux Commands for Data Science Beginners

KDnuggets

Also: Decision Tree Algorithm, Explained; 15 Python Coding Interview Questions You Must Know For Data Science; NaĂŻve Bayes Algorithm: Everything You Need to Know; KDnuggets Top Posts for May 2022: 9 Free Harvard Courses to Learn Data Science in 2022.

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How to Become a Blockchain Developer?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Although blockchain is still in its infancy, the opportunities for developers to contribute are not just exciting but also many. Many businesses, including supply chains, automotive, and finance, have adopted blockchain, but it is not without problems. When a cryptocurrency, namely Bitcoin, […].

More Trending

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Ways Businesses Can Boost Logistics Performance with Analytics

Smart Data Collective

Smart companies realize that analytics technology needs to be at the core of their business models. One of the most important ways that analytics can help companies thrive is by improving their logistics. Analytics Technology Helps Companies Bolster their Logistics Strategies. If you were cryogenically frozen twenty years ago, upon awakening, you’d probably be more shocked to learn that you can place an order on the internet and get it the same day, than you would about the world’s billionaires

Analytics 106
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Data Preparation with SQL Cheatsheet

KDnuggets

If your raw data is in a SQL-based data lake, why spend the time and money to export the data into a new platform for data prep?

SQL 400
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20 SQL Coding Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction SQL stands for Structured Query Language. It’s a programming language to interact/query and manage RDBMS (Relational Database Management Systems). SQL skills are highly preferred and required as it’s used by many organizations in a large variety of software applications.

SQL 316
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Personal life dashboard

FlowingData

Felix Krause tracks many metrics of his life, both manually and passively, and put the data in one database. He put up a subset of the data on an updating site that shows where he is, what he’s eaten, how he’s feeling, the time he spent on the computer, and plenty more. After three years, he concluded it was not worth the time: Overall, having spent a significant amount of time building this project, scaling it up to the size it’s at now, as well as analysing the data, the main concl

Database 106
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How To Speak The Language Of Financial Success In Product Management

Speaker: Jamie Bernard

Success in product management goes beyond delivering great features - it’s about achieving measurable financial outcomes that resonate across the organization. By connecting your product’s journey with the company’s financial success, you’ll ensure that every feature, release, and innovation contributes to the bottom line, driving both customer satisfaction and business growth.

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Using Instagram Highlight Covers in Your Data-Driven Marketing Strategy

Smart Data Collective

Modern marketing strategies rely heavily on big data. One study found that retailers that use big data have 2.7 times greater brand awareness than those that don’t. Big data is even more important for companies that depend on social media marketing. Geoffrey Moore tweeted about this in 2012 when he said: “Without big data analytics, companies are blind and deaf, wandering out onto the Web like deer on a freeway.”.

Big Data 105
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Statistics and Probability for Data Science

KDnuggets

In this article, we discuss the importance of statistics and probability in data science and machine learning.

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Data Driven Culture: A Far-fetched Goal for Organizations

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Creating a collaborative, data-driven culture is one of the most important goals of many modern organizations. A data-driven culture is when data is used to make decisions at every level of the organization. A data-driven culture is about replacing the gut feeling […].

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15 years

FlowingData

This past weekend marked 15 years since I first posted on FlowingData. What started as a placeholder for class projects, became a hobby, which eventually turned into a career choice. With each year that passes, running an independent site, on data visualization of all things, seems less common. Many of my favorite data and visualization sites from years past are dead links now or are frozen in time.

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What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.

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3 Smart Technologies Boosting Energy Efficiency Worldwide

Smart Data Collective

The growth of smart technology is one of the most beneficial trends brought on by advances in AI. It is projected that there will be over 77 million smart homes in the United States by 2025. Smart technology is also being used by businesses and government institutions around the world. Many factors are driving the demand for smart technology. The quest for efficient and sustainable energy usage is one of the defining technological challenges of the modern age — especially as we find ourselves in

AI 104
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Making Sense of CRISP-ML(Q): The Machine Learning Lifecycle Process

KDnuggets

Learn about the standard process for building sustainable machine learning applications.

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Introduction to Memcached using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Memcached is a highly-performant distributed caching system. It is an in-memory key-value data store, which makes it a type of NoSQL database. Memcached is used by tech giants like Facebook, Twitter, Instagram, and Netflix. In my previous article, I explained Redis which […].

Python 298
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Best of Tableau Web: June 2022

Tableau

Andy Cotgreave. Senior Technical Evangelist, Tableau at Salesforce. Bronwen Boyd. July 1, 2022 - 12:00am. July 2, 2022. Hello DataFam! Welcome to the roundup of Tableau blogs and videos from June 2022. . This month I wanted to tackle something slightly different. For the Data Leadership Collaborative Braindates, I hosted a session on Imposter Syndrome.

Tableau 98
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Provide Real Value in Your Applications with Data and Analytics

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

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4 IT Management Best Practices Data-Driven Businesses Must Practice

Smart Data Collective

Data-driven businesses are far more successful than companies that don’t utilize data to their advantage. Unfortunately, they often find that managing their data effectively can be a challenge. Companies that rely on big data need a reliable IT department. You have to make sure that your IT infrastructure is adequately equipped to handle the volume of data your company will be processing and that it will be properly secured.

Big Data 104
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Step up your Python game with Fast Python for Data Science!

KDnuggets

Fast Python for Data Science by Tiago Antao is a hands-on guide to writing Python code that can process more data, faster, and with less resources.

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Top 15 Important Data Science Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source – Analytics India Magazine Introduction Job interviews can be scary if you are a fresher and especially if you are attending interviews on interdisciplinary roles like Data Science and Machine Learning. The tension, the doubt if you will get a yes or […]. The post Top 15 Important Data Science Interview Questions appeared first on Analytics Vidhya.

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Best of Tableau Web: June 2022

Tableau

Andy Cotgreave. Senior Technical Evangelist, Tableau at Salesforce. Bronwen Boyd. July 1, 2022 - 12:00am. July 2, 2022. Hello DataFam! Welcome to the roundup of Tableau blogs and videos from June 2022. . This month I wanted to tackle something slightly different. For the Data Leadership Collaborative Braindates, I hosted a session on Imposter Syndrome.

Tableau 98
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The Project Clinic: Assessing Project Health, Planning, and Execution

Speaker: Ketan Jahagirdar

Picture your projects as patients, each with its own unique rhythm and pulse, thriving under your care 🥼 🩺 Step into the role of an innovative project doctor in our upcoming webinar! This session is your guide to evaluating the health of your projects through Waterfall and Agile practices like Scrum and Kanban. We’ll explore the vital signs of project success through the lens of the “iron triangle” metrics, using deliverables as tracers.

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10 Essential Data-Driven B2B Email Marketing Strategies

Smart Data Collective

Big data technology is leading to a lot of changes in the field of marketing. A growing number of marketers are exploring the benefits of big data as they strive to improve their branding and outreach strategies. Email marketing is one of the disciplines that has been heavily touched by big data. If you want to make the most of your big data strategy, you should keep reading to learn how to incorporate data into email marketing.

Big Data 101
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KDnuggets News, June 29: 20 Basic Linux Commands for Data Science Beginners; Market Data and News: A Time Series Analysis

KDnuggets

20 Basic Linux Commands for Data Science Beginners; Market Data and News: A Time Series Analysis; Data Science Career: 7 Expectations vs Reality; Machine Learning Is Not Like Your Brain Part 4: The Neuron’s Limited Ability to Represent Precise Values; Comprehensive Guide to the Normal Distribution.

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Custom Named Entity Recognition using spaCy v3

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Named Entity Recognition A named entity is a ‘real-world object’ that is assigned a name, for example, person, organization, or location. For more details, check my previous article on fine tune Bert for NER. All in all, NER can be summarized as […].

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Data Observability and Its Impact on the Data Operations Lifecycle

Dataversity

The quality of the data you use in daily operations plays a significant role in how well you will generate valuable insights for your enterprise. You want to rely on data integrity to ensure you avoid simple mistakes because of poor sourcing or data that may not be correctly organized and verified. That requires the […]. The post Data Observability and Its Impact on the Data Operations Lifecycle appeared first on DATAVERSITY.

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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, industry expert Conrado Morlan will explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, he’ll uncover how AI can be the ultimate sidekick, aiding in data management and reporting, enhancing productivity, and boosting innovation.

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? Visualization Tools and Learning Resources, June 2022 Roundup

FlowingData

Welcome to issue #195 of The Process, the newsletter for FlowingData members that looks closer at how the charts get made. I’m Nathan Yau, and every month I collect useful tools and resources to help you visualize data better. This is the good stuff for June. Become a member for access to this — plus tutorials, courses, and guides.

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Celebrating Women in Leadership Roles in the Tech Industry

KDnuggets

The technology industry, specifically, has been continuing to close the gender gap.

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The Technology of Automation and Artificial Intelligence

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Automation and intelligence are two technologies that are widely used in modern systems, making them cutting-edge. Without the two technologies of automation and intelligence, a computer system or program will revert to outdated design and development concepts, which are currently obsolete and […].

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Training a Machine Learning Model to Build a Predictive Web Application in Three Easy Steps

Dataversity

Do you remember when we took you through the nine circles of hell with parameter optimization and a cup of tea? We introduced a parameter optimization workflow that uses four different machine learning models, individually optimizes the hyperparameters, and picks the best combination of machine learning method and hyperparameters for the user. However, the usual data scientist journey […].

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Entity Resolution: Your Guide to Deciding Whether to Build It or Buy It

Adding high-quality entity resolution capabilities to enterprise applications, services, data fabrics or data pipelines can be daunting and expensive. Organizations often invest millions of dollars and years of effort to achieve subpar results. This guide will walk you through the requirements and challenges of implementing entity resolution. By the end, you'll understand what to look for, the most common mistakes and pitfalls to avoid, and your options.