KDnuggets

NOVEMBER 29, 2021

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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Analytics Vidhya

DECEMBER 3, 2021

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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Dataconomy

DECEMBER 1, 2021

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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DataRobot

DECEMBER 1, 2021

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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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

KDnuggets

DECEMBER 1, 2021

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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Analytics Vidhya

DECEMBER 2, 2021

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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FlowingData

DECEMBER 3, 2021

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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KDnuggets

DECEMBER 3, 2021

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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Analytics Vidhya

DECEMBER 3, 2021

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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Smart Data Collective

DECEMBER 3, 2021

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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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

FlowingData

NOVEMBER 30, 2021

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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KDnuggets

NOVEMBER 29, 2021

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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Analytics Vidhya

NOVEMBER 29, 2021

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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Smart Data Collective

NOVEMBER 29, 2021

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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Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

FlowingData

DECEMBER 1, 2021

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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KDnuggets

NOVEMBER 30, 2021

After 28+ years of publishing and editing KDnuggets, I am retiring and transitioning KDnuggets to Matthew Mayo, who will become the new editor-in-chief. I want to share with you my story of KDnuggets and highlight some of the useful nuggets of experience I learned along this amazing journey.

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Analytics Vidhya

NOVEMBER 29, 2021

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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Eugene Yan

DECEMBER 1, 2021

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

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Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

FlowingData

DECEMBER 2, 2021

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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KDnuggets

DECEMBER 2, 2021

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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Analytics Vidhya

NOVEMBER 29, 2021

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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Smart Data Collective

NOVEMBER 29, 2021

Data analytics has become a very important element of success for modern businesses. Many business owners have discovered the wonders of using big data for a variety of common purposes, such as identifying ways to cut costs, improve their SEO strategies with data-driven methodologies and even optimize their human resources models. However, there are some other benefits of using data analytics that don’t get quite as much attention.

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

FlowingData

NOVEMBER 29, 2021

With candy corn as her medium, Jill Hubley mapped corn production in the United States , based on data from the USDA. With just three hues of yellow, orange, and white and three heights to match, Hubley was able to clearly show the geographical patterns. For reference, here is the USDA corn map: Finally, I have a use for my kids’ leftover Halloween candy.

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KDnuggets

NOVEMBER 29, 2021

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

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Analytics Vidhya

DECEMBER 3, 2021

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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Smart Data Collective

NOVEMBER 29, 2021

AI is revolutionizing the banking and financial sector. Read this article to get to know why banks need to introduce AI-based solutions in their workflows—the faster the better. Banking is one of those industries that can earn or save billions of dollars thanks to AI. Institutions that introduce AI-powered solutions earlier than their rivals gain a significant competitive edge.

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Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

FlowingData

NOVEMBER 29, 2021

When you compare the price of things today against prices one year ago, almost everything increased in cost at a rapid rate. While out of the ordinary, it’s definitely not the first time this happened. The New York Times zoomed out to show year-over-year price change since 1960, framing the timeline in the context of age generations. Zoom into the data super close, and every blip can seem like a mountain.

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KDnuggets

NOVEMBER 30, 2021

In this article, we are going to compare the sentiment extraction performance between Sentiment Analysis engines and Custom Text classification engines. The idea is to show pros and cons of these two types of engines on a concrete dataset.

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Analytics Vidhya

NOVEMBER 30, 2021

This article was published as a part of the Data Science Blogathon. Introduction to ETL ETL is a type of three-step data integration: Extraction, Transformation, Load are processing, used to combine data from multiple sources. It is commonly used to build Big Data. In this process, data is pulled (extracted) from a source system, to […]. The post Good ETL Practices with Apache Airflow appeared first on Analytics Vidhya.

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Smart Data Collective

NOVEMBER 29, 2021

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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Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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