Sat.Mar 26, 2022 - Fri.Apr 01, 2022

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8 Free MIT Courses to Learn Data Science Online

KDnuggets

Create a data science learning path with courses from the world’s most prestigious university.

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A Comprehensive Overview of Sentiment Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We can clearly see that sentiment analysis is getting more and more popular as e-commerce, SaaS solutions, and digital technologies advance. We’ll go through how this works and look at some of the most common corporate applications. We’ll also discuss the analysis’ […].

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Why data science boot camps are so popular?

Dataconomy

Data science boot camps have become increasingly popular. When you hear “data science,” do you think of spreadsheets and huge numbers? Data science enables us to make sense of all the data we’re accumulating and transform it into action. The area is in high demand. Companies nowadays need data analysis.

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Climate spiral to show temperature change

FlowingData

Say what you will about circular visualization, but the spiral plays. This one from NASA shows global temperature change over time : The visualization presents monthly global temperature anomalies between the years 1880-2021. These temperatures are based on the GISS Surface Temperature Analysis (GISTEMP v4), an estimate of global surface temperature change.

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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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Top 13 Skills That Every Data Scientist Should Have

KDnuggets

Let me walk you through the top 13 data science skills that you should have to become a successful data scientist. Following this outline, you’ll have a great path of digestible steps to educate yourself and be prepared to apply for data scientist positions.

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Object Detection Using Haar Cascade: OpenCV

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will discuss how to implement a haar cascade for object detection in OpenCV. In the last article, we discussed real-time object classification, if you haven’t read it yet, the link is here. Source: Link Identifying a custom object […]. The post Object Detection Using Haar Cascade: OpenCV appeared first on Analytics Vidhya.

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1950 Census released by U.S. National Archives

FlowingData

For privacy reasons, there’s a 72-year restriction on individual Census records, which include names and addresses. It’s 72 years today since the release of the 1950 Census. The scanned paper records are available for browsing and downloading. Tags: archive , census , history.

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Machine Learning Pipeline Optimization with TPOT

KDnuggets

Let's revisit the automated machine learning project TPOT, and get back up to speed on using open source AutoML tools on our way to building a fully-automated prediction pipeline.

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Blink Detection Application Using Computer Vision

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will learn how to make a real-time blink detector application using computer vision. Also, we will be using more libraries and mathematics to build such an application while going through a complete pipeline and code-by-code analysis. […].

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Best ERP solutions: Why should small enterprises use ERP software?

Dataconomy

In this article, we are listing the 5 best ERP software for small business enterprises. We’ve already handled “What is ERP?” but a quick rundown, Enterprise Risk Management (ERM) is a company-wide strategy to identify and prepare for risks, especially those related to the company’s finances, operations, and goals. How.

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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!

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8 Steps to Leveraging Analytics to Create Successful Ecommerce Stores

Smart Data Collective

Analytics technology is taking the ecommerce industry by storm. Ecommerce companies are expected to spend over $24 billion on analytics in 2025. While there is no debating the huge benefits that analytics technology brings to the ecommerce sector , many experts are pondering what those actual benefits are. New ecommerce startups are discovering interesting ways to utilize analytics.

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Introductory Pandas Tutorial

KDnuggets

A gentle introduction to data analysis with Pandas.

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How to Convert Jupyter Notebook into ML Web App?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Jupyter Notebook is a web-based interactive computing platform that many data scientists use for data wrangling, data visualization, and prototyping of their Machine Learning models. It is easy to use the platform, and we can do programming in many languages like Python, Julia, R, etc. […].

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EGRC 101: Enterprise governance, risk management, and compliance

Dataconomy

Enterprise governance, risk, and compliance (EGRC) is a strategy for governing an organization’s overall governance, enterprise risk management, and regulatory compliance. Governance, risk, and compliance (GRC) is both a more strategic and, in some respects, more tactical approach to integrating IT with company goals. Consider it a method for aligning.

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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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Charting all the vehicles of James Bond

FlowingData

Baryon Design collated data for all the vehicles James Bond used across all 25 films. You can see every vehicle used, categorized by type and displayed by time of use. Tags: Baryon Design , James Bond , vehicles.

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What is an MLOps Engineer?

KDnuggets

And why you should consider becoming one.

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Ways to Transition into Data Science: Fresh Graduates and Experienced Professionals up to 5 years

Analytics Vidhya

Introduction Data Science is becoming one of the most lucrative sectors that professionals want to switch to from other domains. It is the same for freshers as well, with a growing number of fresh graduates wishing to join various professions that come under Data Science. However, there is a major problem that both candidates and […]. The post Ways to Transition into Data Science: Fresh Graduates and Experienced Professionals up to 5 years appeared first on Analytics Vidhya.

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Nvidia’s GTC 2022 shows how data science is crucial for future technologies

Dataconomy

This week, Nvidia laid out its strategy for moving forward with the next generation of computing. Nvidia Graphics Technology Conference (GTC) saw CEO Jensen Huang reveal a variety of technologies that he claims will power the future wave of AI and virtual reality worlds.

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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Potential coronavirus mutations

FlowingData

For NYT Opinion, researchers Sarah Cobey, Jesse Bloom, and Tyler Starr, along with NYT graphics editor Nathaniel Lash, discuss the potential mutations for the coronavirus. The accompanying graphic zooms in on the amino acids that allow the virus infect human cells. Scroll to see the mutations in the Delta variant and Omicron, and then keep going to see where else we might be headed.

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Connect With the Data Science Community at Rev 3 in NYC, the #1 MLOps Conference

KDnuggets

The most ambitious Enterprise MLOps conference is coming to New York City on May 5-6, bringing the data science community together in-person for a one-of-a-kind event. This year, you’ll hear from 30+ speakers across dozens of industries. Save 50% with the promo code KDN. Register now!

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Predicting Possible Loan Default Using Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A loan default occurs when a borrower takes money from a bank and does not repay the loan. People often default on loans due to various reasons. Borrowers who default on loans not only damage their credit but also risk being sued […]. The post Predicting Possible Loan Default Using Machine Learning appeared first on Analytics Vidhya.

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What role does aggregate data play in a business’s success?

Dataconomy

Large-scale data gathering has numerous benefits for many sectors, including business intelligence and research. Large-scale data collection can provide essential insights for businesses, academics, and governments. Analysts employ various techniques to aggregate data to develop predictions, assess processes, and influence decisions. This post will go over what aggregate data is.

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Marketing Operations in 2025: A New Framework for Success

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.

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? Visualization Tools and Learning Resources, March 2022 Roundup

FlowingData

Welcome to issue #183 of The Process, the newsletter for FlowingData members that looks closer at how the charts get made. I’m Nathan Yau, and every month I collect tools and resources to help you make better charts. This is the good stuff for March. Become a member for access to this — plus tutorials, courses, and guides.

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What’s the Difference Between Data Analysts and Data Scientists?

KDnuggets

This article will help you understand what data analysts and data scientists do with data in detail.

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An Overview and Applications of Artificial Neural Networks

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Have you ever wondered how the human brain functions? There’s a good possibility you learned about it in school. The function of ANN is the same as that of neurons in the human nervous system. Let’s get this Artificial Neural Networks lesson started. […].

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Pros and Cons of Having a Data-Driven eCommerce Business on Amazon

Smart Data Collective

There are many ways that you can use big data to create a profitable business. One of the smartest ways for entrepreneurs to utilize data is by creating an ecommerce business. You can run a profitable ecommerce business through Amazon. SellerApp author Dilip Vamanan wrote a great article on the merits of using data analytics as an Amazon seller. However, you might want to also consider other ecommerce platforms for your data-driven ecommerce business.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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.

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Russia’s logistics problems

FlowingData

For The Washington Post, Bonnie Berkowitz and Artur Galocha report on several facets of Russia’s logistics, from poor protection, to poor communication, to vehicle breakdowns. Tags: logistics , Russia , war , Washington Post.

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A Bug That Can Make You a Data Science Hero

KDnuggets

What if I tell you that there is a bug that can take you on a ride in the world of data science. Yes, if you have the bug of curiosity, consider yourself the best fit for the data science profession.

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End-to-End Data Analysis Using Microsoft Excel

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We will be analyzing fitness information in this article completely in Excel. Excel has some inbuilt functions which we could use to make our analysis stand out. About the Data Analysis The data is publicly available on Kaggle. It includes fitness information collected by the contributor […].

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Accountants Are Using Machine Learning to Boost Efficiency

Smart Data Collective

Machine learning technology is changing many sectors in tremendous ways. The accounting sector is no exception. Analysts from Markets and Markets project that the market for AI in the accounting industry will exceed $4.7 billion within the next two years. A lot of accountants are discovering innovative ways to take advantage of the benefits of machine learning.

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The Cloud Development Environment Adoption Report

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.