Sat.Dec 25, 2021 - Fri.Dec 31, 2021

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3 Tools to Track and Visualize the Execution of Your Python Code

KDnuggets

Avoid headaches when debugging in one line of code.

Python 400
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Pokemon Prediction using Random Forest

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview This Pokemon will analyze the pokemon dataset and predict whether the Pokemon is legendary based on the features provided. We will discuss everything from scratch; we will go from CSV to model building with line by line explanation of code. Let’s get started. Image […].

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Best Data Visualization Projects of 2021

FlowingData

Phew, just made it. These are my favorite data visualization projects from 2021. Like last year, there were many Covid-related charts on the internets this year. While they are important to gauge the state of things, I found myself veering away from them to focus on other areas. I craved distraction, practical information for the times, and anything outside the bubble.

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4 Wonderful Ways to Use Big Data in Local SEO Marketing

Smart Data Collective

Big data has become a very important part of modern business. Companies are using big data technology to improve their human resources, financial management and marketing strategies. Digital marketing , in particular, is very dependent on big data. Companies are expected to spend over $5 billion on big data marketing services in 2026. One of the most important big data applications in marketing is with SEO.

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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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11 Best Companies to Work for as a Data Scientist

KDnuggets

This list of best data science companies aims to go beyond the usual and expected. Some great and perhaps underrated options to get a job as a data scientist.

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A Comprehensive Guide on Deep learning for Computer vision

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Source: Vision Image Overview Deep learning is the most powerful method used to work on vision-related tasks. Convolutional Neural Networks or convents are a type of deep learning model which we use to approach computer vision-related applications. In this guide, we will explore how […].

More Trending

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Big Data Drives Office Productivity into Overdrive

Smart Data Collective

Big data is playing a massive role in countless industries. It is changing the landscape of commerce as we know it. As we pointed out in the past, it is the key to business growth. We recently interviewed many entrepreneurs to understand their big data priorities. One of the most significant benefits is with office productivity. Many offices are using big data to lift productivity.

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4 Reasons Why You Shouldn’t Use Machine Learning

KDnuggets

It's time to learn: machine learning is not a Swiss Army knife.

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A Guide on Deep Learning: From Basics to Advanced Concepts

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Welcome to my guide! In this guide, we will cover basic as well as advanced topics involved in Deep Learning. This guide will help you in gaining confidence in the concepts of Deep Learning. So let’s begin with our journey! Why do we need […]. The post A Guide on Deep Learning: From Basics to Advanced Concepts appeared first on Analytics Vidhya.

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? Visualization Tools and Resources, December 2021 Roundup

FlowingData

Welcome to issue #170 of The Process , the newsletter for FlowingData members on how the charts get made. I’m Nathan Yau, and every month I collect visualization tools and resources to help you make better charts. This is the good stuff for December. Become a member for access to this — plus tutorials, courses, and guides.

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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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Data Culture in the wild with Seattle Seahawks, VMWare, and Jaguar Land Rover

Tableau

Forbes BrandVoice. Kristin Adderson. December 27, 2021 - 5:27pm. December 27, 2021. Editor's note: This article originally appeared in Forbes , by Jennifer Day, Vice President of Customer Strategy and Programs, Tableau. Data Culture is foundational to building a data-driven organization, but what, exactly, does a successful Data Culture look like? At Tableau Conference , leaders from the Seattle Seahawks, VMWare, and Jaguar Land Rover (JLR) shared examples of successful Data Cultures in action.

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How AI/ML Technology Integration Will Help Business in Achieving Goals in 2022

KDnuggets

AI/ML systems have a wide range of applications in a variety of industries and sectors, and this article highlights the top ways AI/ML will impact your small business in 2022.

ML 400
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Text Classification of News Articles

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction A news article discusses current or recent news of either general interest (i.e. daily newspapers) or on a specific topic (i.e. political or trade news magazines, club newsletters, or technology news websites). A news article can include accounts of eyewitnesses to the happening event. […].

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David Rumsey Map Center, cataloging historical works

FlowingData

The David Rumsey Map Center at Stanford houses hundreds of thousands of maps dating back to the 1500s. Andres Picon for San Francisco Chronicle wrote about the collection : At the heart of that endeavor is the digitization of Rumsey’s vast physical collection, a project he began in the late 1990s when he launched davidrumsey.com , a constantly growing aggregation of about 112,000 digitized historical maps from his personal inventory.

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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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Graph: A Must-Have Enterprise Technology in 2022

Dataversity

If 2021 was the year graph technology went mainstream, 2022 will be the year it becomes an enterprise “must-have.” Graph companies have attracted hundreds of millions of dollars in funding this year, as more organizations scale up (and out) with graph. In addition to the usual graph use cases – which include fraud detection, anti-money […]. The post Graph: A Must-Have Enterprise Technology in 2022 appeared first on DATAVERSITY.

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Hands-On Reinforcement Learning Course, Part 2

KDnuggets

Continue your learning journey in Reinforcement Learning with this second of two part tutorial that covers the foundations of the technique with examples and Python code.

Python 400
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Text Classification using BERT and TensorFlow

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In 2018, a powerful Transformer-based machine learning model, namely, BERT was developed by Jacob Devlin and his colleagues from Google for NLP applications. BERT is a very good pre-trained language model which helps machines learn excellent representations of text wrt context in many natural […].

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Church of the 95% Confidence Interval

FlowingData

This is Hallgrímskirkja , a church in Reykjavík, Iceland. It will now also be known as the Church of the 95% Confidence Interval. The Church of the 95% Confidence Interval #rstats pic.twitter.com/m0gvvu2Dav. — Julien Cloarec (@CloarecJulien) December 5, 2021. Tags: church , humor.

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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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Invest in Your Recovery Before Disaster Strikes

Dataversity

In the digital economy, business continuity is inextricably bound to technology. From retail and travel to finance and the public sector, services being moved online and employees working remotely means businesses are more reliant on their digital infrastructure than ever before. While organizations can take steps to protect their digital services from incidents caused by user error, […].

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What Makes Python An Ideal Programming Language For Startups

KDnuggets

In this blog, we will discuss what makes Python so popular, its features, and why you should consider Python as a programming language for your startup.

Python 399
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Image Operations in Python with OpenCV: Eroding, Dilation, and more!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As we all know, OpenCV is a free open source library used for computer vision and image operations. OpenCV is written in C++ and has thousands of optimized algorithms and functions for various image operations. A lot of real-life operations can be solved […]. The post Image Operations in Python with OpenCV: Eroding, Dilation, and more!

Python 372
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xkcd: Unknowable truth

FlowingData

xkcd makes Statistics so fulfilling. George E. P. Box comes to mind. Tags: humor , xkcd.

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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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Is Air-Gapped Backup Necessary for Effective Data Protection?

Dataversity

Air-gapped backup is becoming increasingly popular in the backup and disaster recovery (DR) industry. Most backup and DR vendors are already offering it as an integrated feature or in the process of including it in their solution(s). The biggest driver for air-gapping is the increasing number of cyber threats such as ransomware. Ransomware attacks have […].

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Versioning Machine Learning Experiments vs Tracking Them

KDnuggets

Learn how to improve ML reproducibility by treating experiments as code.

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Manual for the First Time Users: Google BERT for Text Classification

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Source: huggingface.io Hey Folks! […]. The post Manual for the First Time Users: Google BERT for Text Classification appeared first on Analytics Vidhya.

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World Chess Championship in charts

FlowingData

Magnus Carlsen continued to assert his dominance at the World Chess Championship. FiveThirtyEight broke down Carlsen’s dominance in the final match with Ian Nepomniachtchi with a series of difference charts. In the quick view, you see it was either a draw or a Carlsen win over 11 games. Tags: chess , FiveThirtyEight , Magnus Carlsen.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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4 Key Steps to Adopting a Multi-Cloud Strategy

Dataversity

On December 8, Amazon Web Services (AWS) suffered a historic, hours-long outage that wreaked havoc across the U.S. Popular websites and heavily used services were knocked offline, angering consumers and underscoring the chaos that occurs when so much economic activity is reliant on technology from a single vendor. This outage hurt the revenues and reputations […].

AWS 98
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The Easiest Way to Make Beautiful Interactive Visualizations With Pandas

KDnuggets

Check out these one-liner interactive visualization with Pandas in Python.

Python 398
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Computer Vision to Detect License Number Plate

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In this fastest era of technology, it is very difficult to stop every vehicle on the road and check its number plate in the search for one criminal car. With the increase in road fraud, the cops are also becoming smarter. They […]. The post Computer Vision to Detect License Number Plate appeared first on Analytics Vidhya.

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Data Culture in the wild with Seattle Seahawks, VMWare, and Jaguar Land Rover

Tableau

Forbes BrandVoice. Kristin Adderson. December 27, 2021 - 5:27pm. December 27, 2021. Editor's note: This article originally appeared in Forbes , by Jennifer Day, Vice President of Customer Strategy and Programs, Tableau. Data Culture is foundational to building a data-driven organization, but what, exactly, does a successful Data Culture look like? At Tableau Conference , leaders from the Seattle Seahawks, VMWare, and Jaguar Land Rover (JLR) shared examples of successful Data Cultures in action.

Tableau 98
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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!