September, 2021

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Guide For Data Analysis: From Data Extraction to Dashboard

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction I have been associated with Analytics Vidya from the 3rd edition of Blogathon. Unlike hackathons, where we are supposed to come up with a theme-oriented project within the stipulated time, blogathons are different. Blogathons are competitions that are conducted for over a month […].

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Data science, machine learning, and AI in fitness – now and next

Dataconomy

Our world revolves around data. Data science, machine learning, and AI have become some of the most critical technologies and industries in the 21st Century, penetrating almost every aspect of our lives, including fitness and wellbeing. The impact of technology on fitness industry On the consumer side, this technology triumvirate.

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Deep Learning’s Diminishing Returns

Hacker News

This article is part of our special report on AI, “ The Great AI Reckoning. ”. Deep learning is now being used to translate between languages, predict how proteins fold , analyze medical scans , and play games as complex as Go , to name just a few applications of a technique that is now becoming pervasive. Success in those and other realms has brought this machine-learning technique from obscurity in the early 2000s to dominance today.

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2021 Data/AI Salary Survey

O'Reilly Media

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The results gave us insight into what our subscribers are paid, where they’re located, what industries they work for, what their concerns are, and what sorts of career development opportunities they’re pursuing. While it’s sadly premature to say that the survey took place at the end of the COVID-19 pandemic (though we can all hope), it took place at a time when restrictions were loose

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Where Americans Live

FlowingData

Everyone gets a dot. You get a dot. And you get a dot. And you. Read More.

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How AI and IoT Solutions Can Improve Your Business

Smart Data Collective

In today’s modern era, AI and IoT are technologies poised to impact every part of the industry and society radically. Because most businesses devote their primary efforts to developing their brand, software applications, or network, new technologies are apt to transform how they operate. In addition, as companies attempt to draw better significance from the huge datasets gathered by linked devices, the potential of AI is accelerating the wider implementation of IoT.

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Is AI the Best Solution for Crowd Management?

Dataconomy

We increasingly use technology for a broad variety of purposes, and the more that happens, the more data we collect and store. These days, AI is transforming the way we utilize that information, including crowd management. Machines can read and learn from different types of data and then perform real-world tasks. That’s.

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Q&A With Co-Creator of the 6502 Processor

Hacker News

Few people have seen their handiwork influence the world more than Bill Mensch. He helped create the legendary 8-bit 6502 microprocessor , launched in 1975, which was the heart of groundbreaking systems including the Atari 2600 , Apple II , and Commodore 64. Mensch also created the VIA 65C22 input/output chip—noted for its rich features and which was crucial to the 6502's overall popularity—and the second-generation 65C816 , a 16-bit processor that powered machines such as the Apple IIGS , and t

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Popular Myths About AI

The Data Administration Newsletter

Artificial Intelligence (AI) is the most talked-about technology currently and for obvious reasons. However, in the face of many facts about this technology, there have been several myths. For example, many associate it with Terminator-like scenes where machines take over the world, among other myths. In this article, we will be discussing and debunking some […].

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How Much More Time We Spent at Home

FlowingData

We had to do a lot more from home in 2020. Based on the American Time Use Survey, we spent about 62% of our waking time at home. In contrast, we only spent about 50% in 2019. Here is the breakdown by activity on a weekday. For each year, I counted the total minutes for each activity and divided by total waking time to estimate percentages. For privacy reasons, the where is not provided for when respondents were sleeping, grooming, or doing personal activities.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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Big Data: The Technology Behind Retailers Success

Smart Data Collective

During the beginning of the pandemic, many businesses went digital, and the retail industry is no exception. Technologies became a crucial part of achieving success in the increasingly competitive market, including big data and analytics. Big data in retail help companies understand their customers better and provide them with more personalized offers.

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Maximum Likelihood Estimation -A Comprehensive Guide

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction The purpose of this guide is to explore the idea of Maximum Likelihood Estimation, which is perhaps the most important concept in Statistics. If you’re interested in familiarizing yourself with the mathematics behind Data Science, then maximum likelihood estimation is something you can’t […].

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Sustainable Tech: Who is leading the way in AI-powered solutions

Dataconomy

Sustainability is a term thrown about quite often in conversations that we have, in the workplace or at home. The umbrella term sustainability includes depleting resources, increasing temperatures, rising sea levels, and more. The concept of sustainability as we know it today was defined in the 1980s. Since then, it.

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Ship / Show / Ask: A modern branching strategy

Hacker News

I've written a fair bit about how using pull requests can encourage a low integration frequency, reducing cycle time and discouraging refactoring. Rouan Wilsenach has had success using an approach that categorizes changes as Ship/Show/Ask - using this classification to decide whether and how to use pull requests.

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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Best of Tableau Web: September 2021

Tableau

Mark Bradbourne. National Solutions Engineer, Tableau . Bronwen Boyd. September 30, 2021 - 4:55pm. October 2, 2021. If you’ve ever had a conversation with me about data visualization, you know I’m passionate about color usage. If used incorrectly, preattentive attributes can be as much a blessing as a curse. There’s the issue of overwhelming the user with competing focal points, as well as the issue of accessibility and color vision deficiency.

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? Visualization Tools and Learning Resources, September 2021 Roundup

FlowingData

Every month I collect tools and resources to help you make better charts. Here’s the good stuff for September 2021. Become a member for access to this — plus tutorials, courses, and guides.

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What Should Data Developers Know About Kubernetes Troubleshooting?

Smart Data Collective

We have previously talked about some of the open source tools available to create big data projects. Kubernetes is one of the most important that all big data developers should be aware of. Kubernetes has become the leading container orchestration platform to manage containerized data-rich environments at any scale. It has vastly simplified container deployment and management yet with the added complexity of managing clusters.

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Building a Machine Learning Model for Title Generation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Image 1 Introduction In this article, I will use the YouTube Trends database and Python programming language to train a language model that generates text using learning tools, which will be used for the task of making youtube video articles or for your blogs. […]. The post Building a Machine Learning Model for Title Generation appeared first on Analytics Vidhya.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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Why Is Moving Data So Expensive?

Dataconomy

Many company representatives commit to moving massive amounts of data to a new location and anticipate numerous advantages. For example, a small business could become more competitive after transferring some content to the cloud. Managing data on-site is a labor-intensive exercise that often becomes prohibitively challenging. Off-site service providers typically.

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The First Rule of Machine Learning: Start without Machine Learning

Eugene Yan

Why this is the first rule, some baseline heuristics, and when to move on to machine learning.

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Earth Could Be Alien to Humans by 2500

Hacker News

Unless greenhouse gas emissions drop significantly, warming by 2500 will make the Amazon barren, Iowa tropical and India too hot to live in. -- Read more on ScientificAmerican.com.

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Age and Occupation

FlowingData

Whether it’s because of experience, physical ability, or education level, some jobs tend towards a certain age of worker more than others. Read More.

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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

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Data Loss: Hazards, Risks and Strategies for Prevention

Smart Data Collective

Many organizations and enterprises are constantly under threat of a cyber attack. Although data may be lost in a hacking incident, it can also be due to other intentional or accidental reasons. For example, you cannot rule out physical data theft, human error, computer viruses, faulty hardware, power failure, and natural disasters. One way to mitigate the loss of vital information is to have a sound backup system, which will improve the chances of recovering the data.

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How to Extract Tabular Data from Doc files Using Python?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Data is present everywhere. Any action we perform generates some or the other form of data. But this data might not be present in a structured form. A beginner starting with the data field is often trained for datasets in standard formats like […]. The post How to Extract Tabular Data from Doc files Using Python?

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5 Risks of the Cloud’s Rapid Expansion

Dataconomy

Businesses across virtually every industry are rapidly adopting cloud service solutions. The global cloud computing market was worth an impressive $371.4 billion in 2020 and could more than double to $832.1 billion by 2025. Amid this rapid expansion, organizations must recognize this movement’s risks. Cloud security isn’t necessarily less secure.

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MLOps Community - System Design for RecSys & Search

Eugene Yan

An overview of system design, candidate retrieval, and ranking, with industry examples.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Data is Risky Business: Return to Sender

The Data Administration Newsletter

A recent experience brought home to me the critical importance of good quality data in even the simplest of processes, particularly as processes become more automated and data driven. Before I went on vacation last month, a new team member joined Castlebridge. Equipment for them was ordered to be shipped to the office, and I […].

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How Men and Women Spend Their Days

FlowingData

For the employed, unemployed, and those not in the labor force, these charts — using an oldie but goodie visualization layout — show the percentage of people doing an activity over a day in 2020. Read More.

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5 Data Points that Your 2022 Digital Marketing Strategy Must Include

Smart Data Collective

You must pay attention the data points that matter! Long gone are the days when digital marketing was based on gut feel and what looked good. The industry knows data is critical to a successful strategy. The hard thing is knowing which data points to pay attention to – separating the signal from the noise. With so much of marketing being quantifiable nowadays, it can be easy to get lost analyzing the wrong data and wasting time which could be better spent elsewhere.

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How to Create Stunning and Interactive Dashboards in Excel?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction I have been using Pandas with Python and Plotly to create some of the most stunning dashboards for my projects. In recent times, I have switched to learning Excel as it was a prerequisite in every company I had to apply to. I […]. The post How to Create Stunning and Interactive Dashboards in Excel?

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!