January, 2022

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Overview of MLOps With Open Source Tools

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview The core of the data science project is data & using it to build predictive models and everyone is excited and focused on building an ML model that would give us a near-perfect result mimicking the real-world business scenario. In trying to achieve […]. The post Overview of MLOps With Open Source Tools appeared first on Analytics Vidhya.

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A busy year ahead in low-code and no-code development

DataKitchen

The post A busy year ahead in low-code and no-code development first appeared on DataKitchen.

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What’s ahead for AI, VR, NFTs, and more?

O'Reilly on Data

Every year starts with a round of predictions for the new year, most of which end up being wrong. But why fight against tradition? Here are my predictions for 2022. The safest predictions are all around AI. We’ll see more “AI as a service” (AIaaS) products. This trend started with the gigantic language model GPT-3. It’s so large that it really can’t be run without Azure-scale computing facilities, so Microsoft has made it available as a service, accessed via a web API.

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A Guide To The Methods, Benefits & Problems of The Interpretation of Data

datapine

Table of Contents. 1) What Is Data Interpretation? 2) How To Interpret Data? 3) Why Data Interpretation Is Important? 4) Data Analysis & Interpretation Problems. 5) Data Interpretation Techniques & Methods. 6) The Use of Dashboards For Data Interpretation. Data analysis and interpretation have now taken center stage with the advent of the digital age… and the sheer amount of data can be frightening.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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The Best Python Courses: An Analysis Summary

KDnuggets

What does the data reveal if we ask: "What are the 10 Best Python Courses?". Collecting almost all of the courses from top platforms shows there are plenty to choose from, with over 3000 offerings. This article summarizes my analysis and presents the top three courses.

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All in the Data: Ways to Improve Your Data

TDAN

Imagine what it would be like if your data was perfect. By perfect I mean fit for use and high quality. By perfect I mean that the people in your organization have confidence in the data to use it for effective decision making and to focus on building efficiency and effectiveness through data into your […].

IT 145

More Trending

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Fire Your Super-Smart Data Consultants with DataOps

DataKitchen

Analytics are prone to frequent data errors and deployment of analytics is slow and laborious. The strategic value of analytics is widely recognized, but the turnaround time of analytics teams typically can’t support the decision-making needs of executives coping with fast-paced market conditions. Perhaps it is no surprise that the average tenure of a CDO or CAO is only about 2.5 years.

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Narrating Data Stories: Set context, explain charts, highlight insights, and guide your audience

Juice Analytics

You are the narrator of your data story. With great power comes great responsibility. You’ll need to do the following things: Set the Context. Explain what the data story is about and why your audience should care. Describe the Charts What measures and dimensions are being shown? How should the chart be interpreted? Guide the Flow. What should the reader look at next?

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3 Huge Ways Big Data Analytics Benefits Businesses

Smart Data Collective

Savvy business owners recognize the importance of investing in big data technology. Companies that utilize big data strategically end up having a strong advantage against their competitors. However, despite the benefits big data provides, companies that are using it are in the minority. Only 30% of companies have a well-defined data strategy. An even smaller number of companies have a data strategy that is supported by the company leadership.

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How to Grow as a Data Scientist in an Ever-Changing World

KDnuggets

Just like tradespeople need to grow in their skill sets, data scientists must also grow in the ever-changing world we inhabit. With that said, let’s break down how you can evolve your data science skills while progressing your career.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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What is Privacy Engineering?

TDAN

Introduction Privacy engineering, as a discrete discipline or field of inquiry and innovation, may be defined as using engineering principles and processes to build controls and measures into processes, systems, components, and products that enable the authorized, fair, and legitimate processing of personal information. One privacy leader defines it as the “inclusion and implementation of […].

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Analysis of Zero Crossing Rates of Different Music Genre Tracks

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. In this article, we are going to analyze the Zero-crossing rates (ZCRs) of different music genre tracks. This post is inspired by Valerio Valerdo’s work. I highly encourage you to check out his Youtube channel for his outstanding work in the field of ML/DL […]. The post Analysis of Zero Crossing Rates of Different Music Genre Tracks appeared first on Analytics Vidhya.

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DataOps For Business Analytics Teams

DataKitchen

Business analysts often find themselves in a no-win situation with constraints imposed from all sides. Their business unit colleagues ask an endless stream of urgent questions that require analytic insights. Business analysts must rapidly deliver value and simultaneously manage fragile and error-prone analytics production pipelines. Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics.

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Are Viewers Expecting a Story? Lightning Talk from the DATAcated Expo

Depict Data Studio

Never, ever keep the default settings. That was the overarching theme of my Lightning Talk at the DATAcated Expo, which was held virtually in October 2021. You’re not going to keep the ugly, outdated defaults. Great! But what should you do instead? And how do you modify a graph so that it’s just right for your audience? Surely a group of scientists will need something different from a group of policymakers.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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The Role and Importance of Data Collection in Healthcare

Smart Data Collective

Did you know that global businesses are expected to spend $274 billion on big data this year? That figure is projected to grow at a rapid pace for years to come. The healthcare sector, in particular, has discovered a number of benefits of leveraging data technology. There are a lot of reasons that big data can be useful for healthcare businesses of all sizes.

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3 Reasons Why Data Scientists Should Use LightGBM

KDnuggets

There are many great boosting Python libraries for data scientists to reap the benefits of. In this article, the author discusses LightGBM benefits and how they are specific to your data science job.

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What is Dark Data, Why Does it Matter, and Why Are Humans Still Needed?

Timo Elliott

Back in the 1960s, a pair of radio astronomers were busily collecting data on distant galaxies. They had been doing this for years. Elsewhere, other astronomers had been doing the same. But what set these astronomers apart – and eventually earned them a Nobel Prize – was what they eventually found in the data. Like other radio astronomers, they had long detected a consistent noise pattern.

IT 126
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Roadmap to Master NLP in 2022

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A few days ago, I came across a question on “Quora” that boiled down to: “How can I learn Natural Language Processing in just only four months?” Then I began to write a brief response. Still, it quickly snowballed into a detailed explanation […].

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Trend-Setting Products in Data and Information Management for 2022

DataKitchen

The post Trend-Setting Products in Data and Information Management for 2022 first appeared on DataKitchen.

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Why Choose a Hybrid Data Cloud in Financial Services?

Cloudera

As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts. Private cloud continues to gain traction with firms realizing the benefits of greater flexibility and dynamic scalability.

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AI Technology is Becoming Essential for App Store Publishers

Smart Data Collective

Artificial intelligence technology is becoming more valuable than ever. The market was estimated to be worth over $50 billion by the end of 2020 and is growing around 20% a year. One of the biggest reasons AI is growing in popularity is due to its role in mobile app design. There are a lot of things that have to be taken into consideration with mobile app design.

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Top Programming Languages and Their Uses

KDnuggets

The landscape of programming languages is rich and expanding, which can make it tricky to focus on just one or another for your career. We highlight some of the most popular languages that are modern, widely used, and come with loads of packages or libraries that will help you be more productive and efficient in your work.

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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Dark Data: How to Find It and What to Do with It

Timo Elliott

Like the proverbial man looking for his keys under the streetlight , when it comes to enterprise data, if you only look at where the light is already shining, you can end up missing a lot. In a previous blog , I explored the value of dark data and how it can reveal insights that can streamline processes, improve customer experiences, generate more revenue – and maybe even help make the world a better place.

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NLP Tutorials Part -I from Basics to Advance

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. […]. The post NLP Tutorials Part -I from Basics to Advance appeared first on Analytics Vidhya.

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Data Science and AI Predictions for 2022

DataKitchen

The post Data Science and AI Predictions for 2022 first appeared on DataKitchen.

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What Do We Talk About, When We Talk About Data?

Dataiku

Some people don’t engage with others on data and AI because they perceive a barrier between how they work with data and how they could work with data — call it an unrequited dream of something better. Others simply don’t think data and AI are relevant to their work at all, as neither appear in their job title. And sometimes even when people work on data and AI together, collaboration can be challenging because they use data for different things, and so they look at it in different ways.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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AI Underscores Passwordless Authentication Risks for Internet Users

Smart Data Collective

Advances in artificial intelligence have been shaping the state of the Internet for years. One of the biggest changes has been in the arena of cybersecurity. AI technology has been a double-edged sword for the cybersecurity sector. On the one hand, it offers robust protection against data breaches , malware and other online security threats. Cybersecurity experts are expected to spend over $38.2 billion on AI-driven cybersecurity solutions by 2026.

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Data Science Web nugget Roundup, Jan 14: Kaggle Datasets & Python Debugging

KDnuggets

In our first weekly roundup of data science nuggets from around the web, check out a list of curated articles on Kaggle datasets, Python debugging tools, what it is data scientists do, an overview of YOLO, 2-dimensional PyTorch tensors, and the secrets of machine learning deployment.

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Top 10 Charts in 2021

The Data Visualisation Catalogue

Another year has passed now and a new set of website statistics for 2021 is here, which will reveal what visualisation reference pages are the most popular. The data we will explore here is taken from the English site and is from 1 st January 2021 – 31 st December 2021, with the previously mentioned years following the same date range. First, we have the list for the top-10 visualisation reference pages in 2021 based on page-views: If we compare back to the data from the previous year (2020) we

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A Comprehensive Guide on Human Pose Estimation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Human Pose estimation is a computer vision task that represents the orientation of a person in a graphical format. This technique is widely applied to predict a person’s body parts or joint position. It is one of the most exciting areas of research in computer […]. The post A Comprehensive Guide on Human Pose Estimation appeared first on Analytics Vidhya.

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.