Mon.Oct 10, 2022

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Famous Concurrency Problems in DBMS

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Concurrency in DBMS refers to the ability of the system to support multiple transactions concurrently without any data loss or corruption. In a concurrent system, numerous transactions can access and modify the data simultaneously. Each transaction is isolated from other transactions, so […].

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10 Cheat Sheets You Need To Ace Data Science Interview

KDnuggets

The only cheat you need for a job interview and data professional life. It includes SQL, web scraping, statistics, data wrangling and visualization, business intelligence, machine learning, deep learning, NLP, and super cheat sheets.

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Frequently Asked Interview Questions on Naive Bayes Classifier

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We, as data science and machine learning enthusiasts, have learned about various algorithms like Logistic Regression, Linear Regression, Decision Trees, Naive Bayes, etc. But at the same time, are we preparing for the interviews? As we know, the end goal is to […].

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What is transformational leadership? A model for motivating innovation

CIO Business Intelligence

What is transformational leadership? The transformational leadership approach encourages, inspires, and motivates employees to innovate and create the change necessary to shape the future success of the company. This is accomplished by setting an example at the executive level through authenticity, a strong sense of corporate culture, employee ownership, and independence in the workplace.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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ASR2K: Speech Recognition Pipeline to Recognize Languages

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction Most recent speech recognition models often rely on large supervised datasets, which are unavailable for many low-resource languages; this poses a challenge in creating a speech recognition model inclusive of all languages. To address this, researchers from Carnegie Mellon University have […].

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A Day in the Life of a Machine Learning Engineer

KDnuggets

What does a day in the life as a machine learning engineer look like for you?

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Select the Right Tech for the Right Transformation Task, Huawei Advises

CIO Business Intelligence

Huawei kicked off its Huawei Connect 2022 tour in Bangkok as it sets off on a world tour. The massive exhibition brings together ICT leaders, experts, and partners to unleash digital productivity, build stronger digital ecosystems, and promote the digital economy. CIO Editor Andrea Benito visited the exhibition and sat down with Derek Hao, President of Global Marketing, Huawei Enterprise Business Group, on why the key to accelerating digital transformation is matching the right technologies to t

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Top 10 Interview Queries on SQL

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction With the advancement of technology and data, job opportunities are increasing rapidly. Nowadays, everyone is more interested in implementing practical knowledge than notebook theories. Likewise, interviewers are also getting smarter, now, they are no longer interested in knowing what SQL is, what […].

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How Does Dataiku Work With the Cloud Providers?

Dataiku

Dataiku helps organizations quickly realize the value of cloud providers — e.g., Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure — and adopt data science practices for multi-cloud AI at scale. But what does this mean in practice?

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Detecting If a Person is Wearing a Mask or Not Using CNN

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will create a Mask v/s No Mask classifier using CNN and Machine Learning Classifiers. It will detect whether a person is wearing a face mask or not. We will learn everything from scratch, and I will explain every […]. The post Detecting If a Person is Wearing a Mask or Not Using CNN appeared first on Analytics Vidhya.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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How Freudenberg Home and Cleaning Solutions Makes Better Decisions with Enterprise-Wide Planning

CIO Business Intelligence

Freudenberg Home and Cleaning Solutions (FHCS), the winner of the 50th Anniversary Legend award of this year’s SAP Innovation Awards 2022 , has been providing market-leading cleaning solutions that keep millions of homes worldwide hygienic and safe since 1849. . The Challenge: Planning in Silos . At the start of the project, Freudenberg Home and Cleaning Solutions, which operates in 35 countries, had a disjointed supply chain planning process.

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Delta Lake in Action – Quick Hands-on Tutorial for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the modern data world, Lakehouse has become one of the most discussed topics for building a data platform. Enterprises have slowly started adopting Lakehouses for their data ecosystems as they offer cost efficiencies of data lakes and the performance of warehouses. […].

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Warehouse, Lake or a Lakehouse – What’s Right for you?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Most of you would know the different approaches for building a data and analytics platform. You would have already worked on systems that used traditional warehouses or Hadoop-based data lakes. Some of you might have also read about Lakehouses. Selecting one among […].

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Data Abstraction for Data Engineering with its Different Levels

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A data model is an abstraction of real-world events that we use to create, capture, and store data in a database that user applications require, omitting unnecessary details. As mentioned earlier, when determining requirements, we collect information about different business processes and […].

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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The Understated Art of Data Storytelling

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Data Storytelling Storytelling is a beautiful legacy that is a part of our great Indian culture, from the legendary Mahabharata era to Puranas and Jataka fables. Stories have been an imminent part of childhood, and the most important morals and values […]. The post The Understated Art of Data Storytelling appeared first on Analytics Vidhya.

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Exploratory Data Analysis Using Einblick

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Exploratory Data Analysis, or EDA, examines the data and identifies potential relationships between variables using numerical summaries and visualisations. We use summary statistics and graphical tools to get to know our data and understand what we may deduce from them during EDA. […].