November, 2021

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Why Machine Learning Engineers are Replacing Data Scientists

KDnuggets

The hiring run for data scientists continues along at a strong clip around the world. But, there are other emerging roles that are demonstrating key value to organizations that you should consider based on your existing or desired skill sets.

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Build Face Recognition Attendance System using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In this article, you will learn how to build a face-recognition system using Python. Face recognition is a step further to face detection. In face detection, we only detect the location of the human face in an image but in face recognition, we […]. The post Build Face Recognition Attendance System using Python appeared first on Analytics Vidhya.

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AI will soon oversee its own data management

Dataconomy

AI thrives on data. The more data it can access, and the more accurate and contextual that data is, the better the results will be. The problem is that the data volumes currently being generated by the global digital footprint are so vast that it would take literally millions, if not.

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How to Utilize Artificial Intelligence in Your eCommerce SEO Strategy

Smart Data Collective

If you have not lived under a rock for several years, you have undoubtedly heard about artificial intelligence (AI). However, how might artificial intelligence be used in e-commerce operations? Artificial intelligence (AI) is starting to fill every facet of our daily lives. For example, self-checkout cash registers, airport security checks, and other automated processes all use artificial intelligence to some degree.

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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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Simpson’s Paradox in vaccination data

FlowingData

This chart, made by someone who is against vaccinations, shows a higher mortality rate for those who are vaccinated versus those who are not. Strange. It shows real data from the Office of National Statistics in the UK. As explained by Stuart McDonald, Simpson’s Paradox is at play : [W]ithin the 10-59 age band, the average unvaccinated person is much younger than the average vaccinated person, and therefore has a lower death rate.

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See inside a 958-foot cargo ship, from the crew's living quarters to the massive engine room

Hacker News

A view of the Maersk Ohio from above Courtesy of Bryan Boyle. A merchant marine captured life at sea on a video tour of a Maersk cargo ship. The video shows the technology that helps guide the ship, as well as the crews' living quarters. Second mate Bryan Boyle said his work has given him the opportunity to explore numerous destinations. A merchant marine gave a tour of a 958-foot cargo ship that showed the intricacies of hulking freighters that haul 90% of the world's goods.

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Using Data Visualization to Explore the Human Space Race!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Humankind has always looked up to the stars. Since the dawn of civilization, we have mapped constellations, named planets after Gods and so on. We have seen signs and visions in celestial bodies. In the previous century, we finally had the technology to […]. The post Using Data Visualization to Explore the Human Space Race!

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What Is Data Accuracy? (And How to Improve It)

Dataconomy

The world has come to rely on data. Data-driven analytics fuel marketing strategies, supply chain operations, and more, and often to impressive results. However, without careful attention to data accuracy, these analytics can steer businesses in the wrong direction.

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Why Is Data Consulting Essential For A New Business?

Smart Data Collective

More companies than ever are being driven by data. They use a number of important data analytics tools to help implement their functions more efficiently. Unfortunately, big data can be mysterious for many companies. Only 13% of companies with data strategies are meeting the objectives outlined in them. They need to know how to use it effectively to get the most value out of it.

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Rising prices of everything

FlowingData

Using Consumer Price Index, Alyssa Fowers and Rachel Siegel for The Washington Post show how the prices of everyday things rose since 2019. A set of baseline charts show lines moving up much more than one would hope, due to coronavirus and supply chain issues. Tags: coronavirus , prices , spending , Washington Post.

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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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Why Your Data Governance Strategy is Failing

The Data Administration Newsletter

What is Data Governance and How Do You Measure Success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Answers will differ widely depending upon a business’ industry and growth strategy. But what […].

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Design Patterns for Machine Learning Pipelines

KDnuggets

ML pipeline design has undergone several evolutions in the past decade with advances in memory and processor performance, storage systems, and the increasing scale of data sets. We describe how these design patterns changed, what processes they went through, and their future direction.

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Performing Time Series Analysis using ARIMA Model in R

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Welcome to the World of Time Series Analysis! From this article, you will learn how to perform time series analysis using the ARIMA model (with code!). The dataset used in this article can be downloaded here. The usage time series data consist of the […]. The post Performing Time Series Analysis using ARIMA Model in R appeared first on Analytics Vidhya.

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In conversation: Facebook, data sovereignty, and why GDPR is flawed

Dataconomy

In recent weeks, the topic of data privacy, data security, data sovereignty, and how social media platforms harvest and use our information has reared its head again. The most recent Facebook whistleblower, who divulged how the platform knows it is responsible for helping to create divisions through its algorithm, which.

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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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Using Machine Learning to Lower the Cost of 3D Printing

Smart Data Collective

Machine learning technology has become an integral part of many different design processes. Many entrepreneurs use machine learning to improve logo designs. However, there are a lot of other benefits as well. One of the areas where machine learning has proven particularly useful has been with 3D printing. 3D Printing is Crucial for Cost Optimization in 3D Printing.

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Best of Tableau Web: October 2021

Tableau

Andy Cotgreave. Technical Evangelist Director, Tableau. Bronwen Boyd. November 6, 2021 - 2:57am. November 6, 2021. Welcome to Best of Tableau Web! In just a few days, we’ll all be watching—and I’ll be co-hosting for the fourth time— Iron Viz , the ultimate visualization showdown, at #Data21. In just 20 minutes, the three finalists, Lisa Trescott, Pradeep Kumar G, and Samuel Parsons, will build their best data visualizations under the watchful eyes of our judges.

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Increased maternal death in the United States

FlowingData

While still relatively rare, maternal mortality in the United States increased over the years. In most other developed countries, rates decreased over the same time period. From NYT Opinion: Over the past two decades, maternal mortality has increased almost 60 percent. The United States is the only other Group of 7 country besides Canada to experience such a drastic decline in maternal health.

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Most Common SQL Mistakes on Data Science Interviews

KDnuggets

Sure, we all make mistakes -- which can be a bit more painful when we are trying to get hired -- so check out these typical errors applicants make while answering SQL questions during data science interviews.

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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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Building an end-to-end Polynomial Regression Model in R

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview. Regression analysis is used to solve problems of prediction based on data statistical parameters. In this article, we will look at the use of a polynomial regression model on a simple example using real statistic data. We will analyze the relationship between […]. The post Building an end-to-end Polynomial Regression Model in R appeared first on Analytics Vidhya.

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Dirty Data is Sabotaging Your EMR Efforts

Dataconomy

While Electronic Medical Records (EMR) have been touted for decades as the golden ticket to exceptional patient care, research, and collaboration, the systems that support EMR have fallen short in delivering on that promise. The problem lies not so much in the systems themselves but in the quality of data.

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5 Ways Machine Learning Can Boost Your Digital Marketing Efforts

Smart Data Collective

One of the best things about digital marketing is that it’s often at the forefront of the latest online technologies. It doesn’t get any more cutting-edge at the moment than machine learning, and it’s not only large companies that have already started to take advantage. As far back as 2018, a veritable eternity in the world of online marketing, over 80% of marketing organizations reported the deployment or growth of their AI and machine learning efforts.

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The Tableau Exchange jumpstarts analysis with Accelerators

Tableau

Pierce Young. Product Manager, Tableau. Bronwen Boyd. November 15, 2021 - 5:17am. November 15, 2021. The Extension Gallery that you know and love is now the Tableau Exchange and it has an even greater mission. The Tableau Exchange is your one-stop-shop for offerings to jumpstart your data analysis to answer questions and get actionable data quickly.

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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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Where cancer risk is greater due to air pollution

FlowingData

Based on five years of data from EPA models, ProPublica mapped areas in the United States where cancer risk is higher due to air pollution : In all, ProPublica identified more than a thousand hot spots of cancer-causing air. They are not equally distributed across the country. A quarter of the 20 hot spots with the highest levels of excess risk are in Texas, and almost all of them are in Southern states known for having weaker environmental regulations.

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Where NLP is heading

KDnuggets

Natural language processing research and applications are moving forward rapidly. Several trends have emerged on this progress, and point to a future of more exciting possibilities and interesting opportunities in the field.

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A Guide to Automated Deep/Machine Learning for Natural Language Processing: Text Prediction

Analytics Vidhya

This article was published as a part of the Data Science Blogathon This article starts by discussing the fundamentals of Natural Language Processing (NLP) and later demonstrates using Automated Machine Learning (AutoML) to build models to predict the sentiment of text data. Other applications of NLP are for translation, speech recognition, chatbot, etc.

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Google releases TF-GNN for creating graph neural networks in TensorFlow

Dataconomy

Google today released TensorFlow Graph Neural Networks (TF-GNN) in alpha, a library designed to make it easier to work with graph-structured data using TensorFlow, its machine learning framework. Used in production at Google for spam and anomaly detection, traffic estimation, and YouTube content labeling, Google says that TF-GNN is designed to “encourage.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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3 Strategies Employed by the Leading Enterprise Cybersecurity Platforms

Smart Data Collective

Much has changed since the time when organizations only knew of antiviruses and simple firewalls as the tools, they need to protect their computers. To address newer challenges, security providers have developed new technologies and strategies to combat evolving threats. Stephanie Benoit-Kurtz, Lead Area Faculty Chair for the University of Phoenix’s Cybersecurity Programs, offers a good summary of the changes security organizations should anticipate , especially in the time of the pandemic.

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Leaders, accelerate your data-driven journey with community

Tableau

Kristin Adderson. November 13, 2021 - 1:12am. November 13, 2021. Editor's note: This article originally appeared in Forbes , by Larissa Amoroso, Sr. Director, Tableau Community. In the journey to become data-driven, even data-leading, organizations traditionally viewed technology as the golden ticket. But adopting the right analytics platform isn’t enough: The ultimate accelerator of your data investments is community.

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How Much Women and Men Worked

FlowingData

Over the years, more women have entered the workforce while the percentage of… Read More.

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Top Stories, Nov 15-21: 19 Data Science Project Ideas for Beginners

KDnuggets

Also: How I Redesigned over 100 ETL into ELT Data Pipelines; Where NLP is heading; Don’t Waste Time Building Your Data Science Network; Data Scientists: How to Sell Your Project and Yourself.

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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.