Thu.Feb 17, 2022

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Linear Regression with Python Implementation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. [link] Introduction If you are reading this article, I am assuming that you are already familiar with Machine Learning, and have a basic idea about it. If not no worries, we will go through step by step to understand Machine Learning and Linear […]. The post Linear Regression with Python Implementation appeared first on Analytics Vidhya.

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Good Data Governance Improves Business Processes

David Menninger's Analyst Perspectives

Many organizations invest in data governance out of concern over misuse of data or potential data breaches. These are important considerations and valid aspects of data governance programs. However, good data governance also has positive impacts on organizations. For example, I have previously written about the valuable connection between the use of data catalogs and satisfaction with an organization’s data lake.

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K-Fold Cross Validation Technique and its Essentials

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image designed by the author Introduction Guys! Before getting started, just […]. The post K-Fold Cross Validation Technique and its Essentials appeared first on Analytics Vidhya.

IT 331
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An Easy Guide to Choose the Right Machine Learning Algorithm

KDnuggets

There's no free lunch in machine learning. So, determining which algorithm to use depends on many factors from the type of problem at hand to the type of output you are looking for. This guide offers several considerations to review when exploring the right ML approach for your dataset.

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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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Introductory Note on Imputation Techniques

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Machine learning models are garbage in garbage-out boxes, and it is essential to address any missing data before feeding it to your model. Missing data in your dataset could be due to multiple reasons like 1) The data was not available. 2) The […]. The post Introductory Note on Imputation Techniques appeared first on Analytics Vidhya.

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Building a Visual Search Engine – Part 2: The Search Engine

KDnuggets

Ever wonder how Google or Bing finds similar images to your image? The algorithms for generating text based 10 blue-links are very different from finding visually similar or related images. In this article, we will explain one such method to build a visual search engine. We will use the Caltech 101 dataset which contains images of common objects used in daily life.

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A new book that will revolutionize the way your organization approaches data!

KDnuggets

Data Mesh in Action by Jacek Majchrzak, Sven Balnojan, and Marian Siwiak reveals how this new groundbreaking decentralized architecture looks for both small startups and large enterprises.

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Importance of Data Governance and its Principles

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: [link] What is DATA by Definition? Source: [link] Data are details, facts, statistics, or pieces of information, typically numerical. Data are a set of values of qualitative or quantitative variables about one or more persons or objects. While running a huge […]. The post Importance of Data Governance and its Principles appeared first on Analytics Vidhya.

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Upgrade Hortonworks Data Platform (HDP) to Cloudera Data Platform (CDP) Private Cloud Base

Cloudera

CDP Private Cloud Base is an on-premises version of Cloudera Data Platform (CDP). This new product combines the best of Cloudera Enterprise Data Hub and Hortonworks Data Platform Enterprise along with new features and enhancements across the stack. This unified distribution is a scalable and customizable platform where you can securely run many types of workloads.

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Lambda Functions in Python | Map, Filter, and Reduce

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Hello, and welcome to the beautiful article where we will learn and discuss various facts related to python Lambda functions. Python is a dynamic yet straightforward typed language, and it provides multiple libraries and in-built functions. There are different methods to perform the […].

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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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What is Data Virtualization? Understanding the Concept and its Advantages

Data Virtualization

Reading Time: 3 minutes Data is at the center of every company. Through the information that is generated by a company’s processes on a daily basis, companies can improve decision-making capabilities now for better business results down the road. However, every day, companies generate. The post What is Data Virtualization? Understanding the Concept and its Advantages appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

IT 81
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No Brainer AutoML with AutoXGB

KDnuggets

Learn how to train, optimize, and build API with a few lines of code using AutoXGB.

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How Can I Succeed with a Citizen Data Scientist Initiative?

Smarten

What Determines the Success of a Citizen Data Scientist Initiative? By now, every wise business team has acknowledged the advent of digital transformation and the transformation of business users into Citizen Data Scientists. But acknowledging the reality and enabling that reality within the walls of an enterprise are two very different things. Where many businesses fail in implementing the Citizen Data Scientist initiative, it is typical to find that the business has simply decided to deploy th

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Top 3 Reasons Spreadsheets Miss the Mark for Cap Table Management

Jet Global

Cap tables are a valuable tool for a close look at the equity capitalization within your organization. But relying on static spreadsheets makes it difficult to gain a comprehensive, real-time view of your capitalization structure. Sifting through spreadsheets manually and reconciling disconnected systems are both time-consuming and cumbersome. For private companies wishing to model likely scenarios during multiple rounds of investments, using more efficient ways to manage cap tables is key.

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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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Two Steps to Hybrid Cloud for Government: How Nutanix and Red Hat Simplify IT Operations and Modernize Applications

Nutanix

In taking this two-step approach, government agencies can get the best of both worlds by modernizing on-premises environments, simplifying application development and management, and locate apps and workloads on their cloud of choice that best supports their mission.

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Continuing the Journey to an Enterprise Data Mesh

Dataiku

A Single Project to a Tissue of Services. In this article, we continue our exploration of how expert Dataiku users and administrators can lift Dataiku created APIs into a data mesh, seeking to expose data and inference engines created during the experimental phase as a tissue of governed microservices.

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Adding a Streaming Gateway Appliance to Your Bring Your Own Azure Private Network

Nutanix

With BYO Networking, the Nutanix Frame® DaaS solution provisions Frame-managed workloads in your designated Microsoft Azure® VNet. Access to the workloads in that VNet remains within your private network.