Sat.Nov 27, 2021 - Fri.Dec 03, 2021

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Building an End- to-End Data Science App with Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. [link] Overview In this article, we will detail the need for data scientists to quickly develop a Data Science App, with the objective of presenting to their users and customers, the results of Machine Learning experiments. We have detailed a roadmap for the […]. The post Building an End- to-End Data Science App with Python appeared first on Analytics Vidhya.

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How to Get Certified as a Data Scientist

KDnuggets

If you are early in your journey to becoming a Data Scientist, an interesting option is to earn certification by DataCamp, and this guide offers tips that will help beginners complete the challenges.

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How artificial intelligence can fight Long COVID

Dataconomy

Clinicians pivoted their AI efforts to engage in the battle against the COVID-19 pandemic. How can it help those with persistent symptoms – the so-called “long COVID”? The emergence in March 2020 of the COVID-19 virus as a pandemic had a profound effect on the demand for health services that.

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Bees use social distancing

FlowingData

Research by M. Pusceddu et al. shows that honeybees use social distancing when a parasite is introduced to the hive. In a parasite-free hive, activities are spread throughout the hive, whereas clusters form when parasites are detected. The Economist illustrated the difference with a grids of dot densities. Tags: bees , Economist , social distancing.

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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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How do Neural Networks really work?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon The math behind Neural Networks Neural networks form the core of deep learning, a subset of machine learning that I introduced in my previous article. People exposed to artificial intelligence generally have a good high-level idea of how a neural network works?—?data is passed […].

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2021: A Year Full of Amazing AI papers — A Review

KDnuggets

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code.

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Anima Anandkumar: What’s in the Future for AI?

DataRobot

Anima Anandkumar joined Ben Taylor, Chief AI Evangelist at DataRobot, on the More Intelligent Tomorrow podcast to discuss the future direction of AI technology and its possible enhancement by the addition of more human capabilities. Bren Professor of Technology at California Institute of Technology (CalTech), Anima joined Nvidia three years ago as the Director of Machine Learning Research.

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Creating ChatBot Using Natural Language Processing in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Are you fed up with waiting in long lines to speak with a customer support representative? Can you recall the last time you interacted with customer service? There’s a chance you were contacted by a bot rather than human customer support professional. We […]. The post Creating ChatBot Using Natural Language Processing in Python appeared first on Analytics Vidhya.

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Movie Recommendations with Spark Collaborative Filtering

KDnuggets

Not sure what movie to watch? Ask your recommender system.

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Analyzing the history of Tableau innovation

Tableau

Jock Mackinlay. Technical Fellow, Tableau. Bronwen Boyd. December 1, 2021 - 11:06pm. December 2, 2021. Innovation is necessary to use data effectively in the pursuit of a better world, particularly because data continues to increase in size and richness. Tableau has been helping people and organizations to see and understand data for almost two decades, bringing exciting innovations to the landscape of business intelligence with every product release.

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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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Thanksgiving Ravine

FlowingData

That’s a lot of email. Tags: email , Thanksgiving.

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An End-to-End Guide to Model Explainability

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. In this article, we will learn about model explainability and the different ways to interpret a machine learning model. What is Model Explainability? Model explainability refers to the concept of being able to understand the machine learning model. For example – If a healthcare […].

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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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Data-Driven Approaches for Email Marketing Automation in Your Business

Smart Data Collective

We have endlessly discussed the benefits of using big data to make the most out of your marketing strategies. Companies that neglect to use data analytics, AI and other forms of big data technology risk falling behind to their competitors. One of the most important benefits of data analytics has been in implementing email marketing strategies. New advances in AI and analytics have made it possible to automate many email marketing strategies that used to be very difficult and time-intensive to ex

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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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? Visualization Tools and Resources, November 2021 Roundup

FlowingData

Welcome to issue #167 The Process , the newsletter for FlowingData members that looks closer at how the charts get made. I’m Nathan Yau, and we’re back from Thanksgiving. I hope you were able to take some time off. Every month I collect tools and resources to help you make better charts. This month I’m including some job listings too, as there were some that caught my eye.

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How a Math equation is used in building a Linear Regression model?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Table of Contents Overview What is Regression? Independent Variables Dependent Variables Linear Regression The Equation of a Linear Regression Types of Linear Regression Simple Linear Regression Multiple Linear Regression How is a simple linear equation used in the ML Linear Regression algorithm?

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Sentiment Analysis with KNIME

KDnuggets

Check out this tutorial on how to approach sentiment classification with supervised machine learning algorithms.

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Machine Learning Interview Questions to Land the Perfect Data Science Job

Smart Data Collective

Are you looking to get a job in big data? That could be a wise career move. The Bureau of Labor Statistics reports that there were over 31,000 people working in this field back in 2018. The median annual wage is $118,370. However, it is not easy to get a career in big data. You need to know a lot about machine learning to land a job. You will need to make sure that you can answer machine learning interview questions before you can get a job offer.

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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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Emissions and energy usage from Ethereum network

FlowingData

It seems clear that Ethereum (and other cryptocurrencies) in its current state is bad for the environment, but it’s hard to say how bad it really is. Kyle McDonald estimated emissions and energy usage to try to understand better: “Ethereum is comparable to keeping 2-3 coal power plant running.” See McDonald’s real-time estimates here.

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A Complete Beginner-Friendly Guide to SQL for Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. SQL stands for Structured Query Language which is used to deal with Relational Databases to query from and manipulate databases. In the field of Data Science most of the time you are supposed to fetch the data from any RDBMS and run some […]. The post A Complete Beginner-Friendly Guide to SQL for Data Science appeared first on Analytics Vidhya.

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5 Practical Data Science Projects That Will Help You Solve Real Business Problems for 2022

KDnuggets

This curated list of data science projects offers real-life problems that will help you master skills to demonstration that you are technically sound and know how to conduct data science projects that add business value.

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From Raw Data to Visualization: Marvel Social Graph Analysis

Smart Data Collective

Last year, we talked about the growing importance of big data in the entertainment industry. Marvel is one of the many companies using big data to optimize its business model. As we all know, Marvel is one of the most influential comic books in the world created by Stan Lee. Only a mind like his could create an out-of-this-world creation that would last forever.

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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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Bird power rankings

FlowingData

Using data from Project FeederWatch , which is a community tracking project to count birds around feeders, Miller et al. estimated the pecking order among 200 species. This was in 2017. For The Washington Post, Andrew Van Dam and Alyssa Fowers worked with the researchers for an updated ranking using a more comprehensive dataset. The result is bird power rankings 2021 edition.

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How to Implement Data Engineering in Practice?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image Source: GitHub Table of Contents What is Data Engineering? Components of Data Engineering Object Storage Object Storage MinIO Install Object Storage MinIO Data Lake with Buckets Demo Data Lake Management Conclusion References What is Data Engineering? Initially, we have the definition of Software […].

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What Percentage of Your Machine Learning Models Have Been Deployed?

KDnuggets

Take a moment to participate in the latest KDnuggets poll and let the community know what percentage of your machine learning models have been deployed.

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The Data Scientist Show - Building end-to-end ML systems

Eugene Yan

Daliana and I had a 2hr chat on all things data science and machine learning.

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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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Rapidly growing African cities

FlowingData

In a multi-faceted piece, The Washington Post described the rapidly growing cities in Africa that are projected to be the most populated cities in the world : In three projections by the University of Toronto’s Global Cities Institute, Africa accounted for at least 10 of the world’s 20 most populous cities in 2100. Even in the institute’s middle-of-the-road development scenario, cities that many Americans may seldom read about, such as Niamey, Niger, and Lusaka, Zambia, eclipse New York City in

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Artificial Neural Network and Its Implementation From Scratch

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Artificial Neural Network Artificial neural network(ANN) or Neural Network(NN) are powerful Machine Learning techniques that are very good at information processing, detecting new patterns, and approximating complex processes. Artificial Neural networks ability is exemplary in tackling large and highly complex Machine […].

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Avoid These Mistakes with Time Series Forecasting

KDnuggets

A few checks to make before training a Machine Learning model on data that could be random.

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2021 Year in Review

Eugene Yan

Met most of my goals, adopted a puppy, and built ApplyingML.com.

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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!