Fri.Nov 26, 2021

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Trends in AI/ML, Data Science and Analytics for 2022 | Simplilearn webinar starts 16-12-2021 15:30

Simplilearn

In a data-driven world, data scientists, engineers, and analysts need to be aware of the trends that will shape their work and careers in the year ahead. Join Simplilearn on Thursday, Dec. 16, 2021, at 9 PM IST (7:30 AM PST / 10:30 AM EST) for a survey of industry trends with Ronald van Loon, CEO, Intelligent World. He’ll share his insights into: Read More.

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Power BI 101, What Should I Learn?

BI Insight

This is the second part of my new series of Power BI posts named Power BI 101. In the previous post, I briefly discussed what Power BI is. In this post, I look into one of the most confusing parts for those who want to start learning Power BI. Many people jump straight online and … Continue reading Power BI 101, What Should I Learn? The post Power BI 101, What Should I Learn?

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5 Ways Data Analytics Sets a New Standard for Revenue Marketing

Smart Data Collective

With the “big data” or insurmountable, high-volume amount of information, data analytics plays a crucial role in many business aspects, including revenue marketing. Data analytics refers to the systematic computational analysis of statistics or data. It lays a core foundation necessary for business planning. Data analytics make up the relevant key performance indicators ( KPIs ) or metrics necessary for a business to create various sales and marketing strategies.

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What Is A/B Testing in Marketing and Why It Matters | Simplilearn

Simplilearn

Have you ever wondered how to get more leads from your landing pages? Lower the bounce rate of visitors to your website? How about increasing clickthrough rates on your emails? Bottom line, we all want to find ways to improve the results of our marketing efforts, and there’s one tool in the shed that can assist with each of these concerns —. Read More.

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How to Build the Ideal HR Team

HR doesn’t exist in a vacuum. This work impacts everyone: from the C-Suite to your newest hire. It also drives results. Learn how to make it all happen in Paycor’s latest guide.

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A Beginner’s Guide to AI and Machine Learning in Web Scraping

Dataversity

With uses spanning personalized medicine to the creation of social media clickbait, the use of artificial intelligence (AI) and machine learning (ML) is expected to transform industries from health care to manufacturing. Web scraping is no exception – and while its use is definitely not the answer to every data collection challenge, simple applications of AI/ML can enhance the process and increase […].

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Article: Introducing the KivaKit Framework

InfoQ Articles

In this article, we take a brief tour of the KivaKit open source Java microservices application framework. KivaKit is a collection of mini-frameworks designed to work together. Each mini-framework is described in more detail at [link] as well as on Jonathan’s blog State of the Art. By Jonathan Locke.

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Is It the Right Time for Your Business to Invest in Robotic Processing Automation?

Fingent

As digitalization is gaining a lot of significance, many enterprises are turning to emerging technologies such as Robotic Process Automation(RPA) to streamline their operations and reduce costs. RPA automates mundane processes allowing organizations to devote more time to serving customers or other important work. According to Gartner, Inc. , Global RPA software is projected to […].

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What Are the Exploratory Data Analysis Steps to Follow?

The BAWorld

Exploratory Data Analysis (EDA) has been around since the early 1970s! It was defined by John Tukey, a great mathematician & statistician. He explains EDA as: “Exploratory data analysis is an attitude, a state of flexibility, a willingness to look for those things that we believe are not there, as well as those we believe to be there.” He gave a very apt simile to EDA – an investigation carried out by a detective.

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How To Perform Exploratory Data Analysis (EDA)

The BAWorld

Exploratory Data Analysis (EDA) has been around since the early 1970s! It was defined by John Tukey, a great mathematician & statistician. He explains EDA as: “Exploratory data analysis is an attitude, a state of flexibility, a willingness to look for those things that we believe are not there, as well as those we believe to be there.” (p. 806).

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How to Stay Competitive in the Evolving State of Martech

Marketing technology is essential for B2B marketers to stay competitive in a rapidly changing digital landscape — and with 53% of marketers experiencing legacy technology issues and limitations, they’re researching innovations to expand and refine their technology stacks. To help practitioners keep up with the rapidly evolving martech landscape, this special report will discuss: How practitioners are integrating technologies and systems to encourage information-sharing between departments and pr