Sat.Jul 02, 2022 - Fri.Jul 08, 2022

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Learn Everything about MapReduce Architecture & its Components

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction MapReduce is part of the Apache Hadoop ecosystem, a framework that develops large-scale data processing. Other components of Apache Hadoop include Hadoop Distributed File System (HDFS), Yarn, and Apache Pig. This component develops large-scale data processing using scattered and compatible algorithms in the […].

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Boosting Machine Learning Algorithms: An Overview

KDnuggets

The combination of several machine learning algorithms is referred to as ensemble learning. There are several ensemble learning techniques. In this article, we will focus on boosting.

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5 Ways Data Analytics Helps Investors Maximize Stock Market Returns

Smart Data Collective

We have previously talked about the reasons that data analytics technology is changing the financial industry. One of the most significant changes has been in the field of stock market investing. Analytics Insight has touched on some of the benefits of using data analytics to make better stock market trades. They point out that value investors are using machine learning technology to anticipate future stock prices.

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Wildfires caused by fireworks

FlowingData

It’s Independence Day here in the United States, which means there will be fireworks in a lot of places. This chart from John Keefe for CNN shows why plans have changed in many areas. That’s a big spike on July 4 and 5. As an aside, that’s a Datawrapper chart. The tell is in view source, but the spacing and interaction usually tips me off.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Data Science Blogathon 22nd Edition

Analytics Vidhya

The wait is now over! Here is your chance to share your knowledge with the world! After successful and insightful 21 Blogathons, Analytics Vidhya is back with yet another Data Science Blogathon with its 22nd edition that goes live from today! Introduction The Blogathon by Analytics Vidhya is organized with a simple mission to share […]. The post Data Science Blogathon 22nd Edition appeared first on Analytics Vidhya.

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12 Essential VSCode Extensions for Data Science

KDnuggets

Learn about the data science VSCode extensions for super productivity and better user experience.

More Trending

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Location AI: The Next Generation of Geospatial Analysis

DataRobot Blog

Real world problems are multidimensional and multifaceted. Location data is a key dimension whose volume and availability has grown exponentially in the last decade. At the confluence of cloud computing, geospatial data analytics, and machine learning we are able to unlock new patterns and meaning within geospatial data structures that help improve business decision-making, performance, and operational efficiency.

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The Power of Artificial Intelligence in Drones

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Nowadays, people around the world think about drones?—?and not just how fun they are to fly, but how much drones have improved our modern life. Source: [link] From delivering packages on demand to surveying disaster zones, drones are crucial to many businesses and […].

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Ten Key Lessons of Implementing Recommendation Systems in Business

KDnuggets

We've been long working on improving the user experience in UGC products with machine learning. Following this article's advice, you will avoid a lot of mistakes when creating a recommendation system, and it will help to build a really good product.

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Developments in AI and IMF Positions Can Make Bitcoin Legally Tender

Smart Data Collective

Artificial intelligence has been a disruptive force in the financial sector for the past decade. We have discussed some of the benefits of AI technology in mainstream financial sectors like banking. However, there are less conventional corners of the financial sector that are also changing in light of developments in AI. The cryptocurrency sector is being shaped by changes in AI technology.

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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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Domain-Driven Development, Part 1

The Data Administration Newsletter

Bounded Contexts / Ubiquitous Language My new book, Data Model Storytelling,[i] contains a section describing some of the most significant challenges data modelers and other Data professionals face. One of these challenges is the increasing popularity of an approach to application development called Domain-Driven Development (DDD). Like most of its predecessors, including Agile development and […].

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Building a Deep Learning Image Classifier with Keras using R

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction An important application of deep learning and artificial intelligence is image classification. Image classification is the process of labeling images based on specific characteristics or features that they contain. The algorithm recognizes these qualities and utilizes them to distinguish between images and assign […].

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Data Preparation in R Cheatsheet

KDnuggets

Leverage the powerful data wrangling tools in R’s dplyr to clean and prepare your data.

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Shrinking middle-class

FlowingData

Income distribution continues to stretch on the high end and squish on the low end. For The New York Times, Sophie Kasakove and Robert Gebeloff look closer at what’s happening in the middle : Nationally, only half of American families living in metropolitan areas can say that their neighborhood income level is within 25 percent of the regional median.

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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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All About Decentralized Cybersecurity

The Data Administration Newsletter

As an IT professional, you’re probably used to the constant treadmill of new ideas, technologies, and concepts that you need to know to stay on top of your game. In that vein, allow us to flag for you an important new way to think about keeping IT systems secure: Decentralized Cybersecurity. Read on for a […].

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An Introductory Note on Principal Component Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction PCA, or Principal Component Analysis, is a term that is well-known to everyone. Notably employed for Curse of Dimensionality issues. In addition to this fundamental issue, there are other significant issues that we tackle in the PCA article. So, let’s start with […].

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KDnuggets News, July 6: 12 Essential Data Science VSCode Extensions; Statistics and Probability for Data Science

KDnuggets

12 Essential VSCode Extensions for Data Science; Statistics and Probability for Data Science; Free Python Crash Course; Linear Machine Learning Algorithms: An Overview; 7 Steps to Mastering Python for Data Science.

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Inside the Release: Tableau 2022.2 for Analysts and Business Users

Tableau

Colten Woo. Product Marketing Associate, Tableau. Bronwen Boyd. July 6, 2022 - 6:37pm. July 6, 2022. The Tableau 2022.2 release includes features that speed up and streamline your data preparation and analysis. Let’s dive into the capabilities that will help you make better and faster decisions. Automate dashboard insights with Data Stories. If you've ever written an executive summary of a dashboard, you know it’s time consuming to distill the “so what” of the data.

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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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Informing and Empowering Agile Teams with Embedded Analytics

Dataversity

For software developers, the agile methodology is not a new concept – it’s been around for decades in one form or another. In 2001, a group of individuals wrote The Agile Manifesto, outlining 12 guiding principles for the agile methodology and cementing the practice in the industry. The agile team has had a huge impact on […]. The post Informing and Empowering Agile Teams with Embedded Analytics appeared first on DATAVERSITY.

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Outliers and Overfitting when Machine Learning Models can’t Reason

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Datasets are to machine learning models what experiences are to human beings. Have you ever witnessed a strange occurrence? What exactly do you consider to be strange? What constitutes an odd event? Is it based on comparisons with uncommon circumstances or things that […].

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Top Posts June 27 – July 3: Statistics and Probability for Data Science

KDnuggets

Also: Decision Tree Algorithm, Explained; 20 Basic Linux Commands for Data Science Beginners; 15 Python Coding Interview Questions You Must Know For Data Science; Naïve Bayes Algorithm: Everything You Need to Know.

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Inside the Release: Tableau 2022.2 for Analysts and Business Users

Tableau

Colten Woo. Product Marketing Associate, Tableau. Bronwen Boyd. July 6, 2022 - 6:37pm. July 6, 2022. The Tableau 2022.2 release includes features that speed up and streamline your data preparation and analysis. Let’s dive into the capabilities that will help you make better and faster decisions. Automate dashboard insights with Data Stories. If you've ever written an executive summary of a dashboard, you know it’s time consuming to distill the “so what” of the data.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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? More Literal, Less Abstract

FlowingData

Welcome to issue #196 of The Process , the newsletter for FlowingData members that looks closer at how the charts get made. I’m Nathan Yau, and this week I want to use visual metaphors to shorten the distance between data and what it represents. Become a member for access to this — plus tutorials, courses, and guides.

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Machine Learning Pycaret : Improve Math Score in Institutes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Academia is the integral coaching zone for humanity’s future talent and the development of new approaches toward our survival as human species in terms of task execution and thinking. The academic score is an indicator used for performance assessment and management by […].

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Hidden Technical Debts Every AI Practitioner Should be Aware of

KDnuggets

Coming to think of technical debt in ML systems leads to the additional overhead of ML-related issues on top of typical software engineering issues.

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The Evolution of Tableau Search and Best Practices for Finding Relevant Content

Tableau

Joe Constantino. Senior Product Manager, Tableau. Bronwen Boyd. July 8, 2022 - 8:37pm. July 9, 2022. If a tree falls in a forest and no one is around to hear it, does it make a sound? On the Search team at Tableau, we like to ask, “If an analyst builds a beautiful visualization, but no one can find it, does it have any value?” . Analytical content is only as useful as its availability and discoverability to relevant stakeholders and consumers.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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Masks for COVID: Updating the evidence

fast.ai

These are notes I took whilst preparing a paper on mask efficacy from Nov 2021 to Jan 2022. In the end, I gave up on the paper, because I felt like people had given up on masks, so there wasn’t much point in finishing it. I’ve decided to publish these notes in the hope some people will find them a useful starting point for their own research, and since I’ve noticed some signs in recent weeks that people might be open to avoiding COVID again.

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Managing SQL Database on Google Cloud

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This article shows how you can create and manage a Cloud SQL Database on Google Cloud Platform and further connect that database to any web application. This tutorial shows how you can join that database with a Django Application. By the end […]. The post Managing SQL Database on Google Cloud appeared first on Analytics Vidhya.

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16 Essential DVC Commands for Data Science

KDnuggets

Learn essential DVC commands to version large datasets and track and manage the machine learning experiments.

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The Evolution of Tableau Search and Best Practices for Finding Relevant Content

Tableau

Joe Constantino. Senior Product Manager, Tableau. Bronwen Boyd. July 8, 2022 - 8:37pm. July 9, 2022. If a tree falls in a forest and no one is around to hear it, does it make a sound? On the Search team at Tableau, we like to ask, “If an analyst builds a beautiful visualization, but no one can find it, does it have any value?” . Analytical content is only as useful as its availability and discoverability to relevant stakeholders and consumers.

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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.