Wed.Jan 19, 2022

SQL: A Full Fledged Guide from Basics to Advance Level

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction According to the Bureau of Labor Statistics, the job outlook for computer and information research scientists, data scientists is projected to grow by at least 19 per cent by 2026.

DataOps with Matillion and DataKitchen

DataKitchen

The Matillion data integration and transformation platform enables enterprises to perform advanced analytics and business intelligence using cross-cloud platform-as-a-service offerings such as Snowflake.

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Min Heap in Python and its Operations

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We will learn in-depth about the min-heap in Python in this tutorial. This is where we will know. What exactly is a heap? What does Python’s min-heap mean? A heap’s time complexity and applications.

IT 240

AI Technology is Becoming Essential for App Store Publishers

Smart Data Collective

Artificial intelligence technology is becoming more valuable than ever. The market was estimated to be worth over $50 billion by the end of 2020 and is growing around 20% a year. One of the biggest reasons AI is growing in popularity is due to its role in mobile app design.

The Essential Supply Chain Network Design Tooling Checklist

Dedicated supply chain network design software is fuelled by intuitive scenario analysis capabilities and powerful mathematical optimization. Answer 10 relevant questions to see if advanced network design & scenario modeling technology can help you.

Which is Better for Machine Learning: Flask vs Django?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We all know how popular the Python programming language is amongst Machine learning enthusiasts. So, once a machine learning model is ready, the next step is to deploy it to be used efficiently.

Top Programming Languages and Their Uses

KDnuggets

The landscape of programming languages is rich and expanding, which can make it tricky to focus on just one or another for your career.

IT 92

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6 Data Science Technologies You Need to Build Your Supply Chain Pipeline

KDnuggets

Here are some of the data science technologies needed to build a comprehensive and smooth supply chain pipeline. 2022 Jan Opinions Data Science

Different Types of Regression Models

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Regression problems are prevalent in machine learning, and regression analysis is the most often used technique for solving them.

5 Product Strategy Consulting Tips for Data-Driven Marketing Campaigns

Smart Data Collective

Big data is extremely important in the marketing profession. This is supported by the fact that companies around the world will be spending over $4.6 billion on marketing analytics by 2026.

Build a User Authentication System with QR Code Scanner using OpenCV

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Computer Vision has opened up a plethora of possibilities and one of the simplest and most popular day-to-day applications is the use of QR Codes and Bar Codes Scanners.

Omnichannel is Multichannel 2.0

Multichannel and omnichannel marketing are not the same. Many organizations are striving for omnichannel, but it can be a daunting journey—unless you have a map. Download your copy of the ultimate omnichannel guide today!

Gartner® Magic Quadrant™ for Cloud Database Report Recognizes Cloudera as a Visionary

Cloudera

Gartner® recognized Cloudera in three recent reports – Magic Quadrant for Cloud Database Management Systems (DBMS), Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases and Critical Capabilities for Cloud Database Management Systems for Operational Use Cases.

KDnuggets™ News 22:n03, Jan 19: A Deep Look Into 13 Data Scientist Roles and Their Responsibilities; Top Five SQL Window Functions You Should Know For Data Science Interviews

KDnuggets

A Deep Look Into 13 Data Scientist Roles and Their Responsibilities; Top Five SQL Window Functions You Should Know For Data Science Interviews; 5 Things to Keep in Mind Before Selecting Your Next Data Science Job; Models Are Rarely Deployed: An Industry-wide Failure in Machine Learning Leadership; Running Redis on Google Colab.

Cloudera Streaming Analytics 1.6 Release Notes

Cloudera

We are excited to announce the release of Cloudera Streaming Analytics (CSA) 1.6 for CDP Private Cloud Base. With this release, we build on the foundation on 1.4 and 1.5 – with a number of fixes, enhancements, and features.

QA in Data Science: How to Spend Less Time on Data Prep Tasks for Analytics and AI Projects

Dataiku

Risks of failing to implement a data quality assurance policy can be far reaching, especially when it is a reactive versus proactive approach. Imagine incorrect or broken automated reports for stakeholders, causing not only hours of rework, but loss of confidence in the value of the data.

Common Use Cases for Mathematical Optimization

What is mathematical optimization and what are some of the most common use cases for across industries? How can this type of prescriptive analytics be applied to lower costs, reduce carbon emissions, and build more resilient supply chains? Find out in this guide.

Why You Should Listen to My New Podcast, Data Radicals

Alation

I’m excited to announce the launch of a project I’ve been working on for some time. This January, I’m launching my first podcast: Data Radicals. Data Radicals features conversations with leaders who drive the use of data in powerful and innovative ways.