March, 2021

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7 Proven Steps to Impress the Recruiter with Your Machine Learning Projects

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction After arming yourself up with all the relevant industry. The post 7 Proven Steps to Impress the Recruiter with Your Machine Learning Projects appeared first on Analytics Vidhya.

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The End of the One-Page Analytics Dashboard

Juice Analytics

Any viewer with a passing interest will (or should) want to know more, drill deeper, and ask “why?”. The one-page dashboard was once the predominant form of visualizing data. It was the standard and the expectation. With touch screens, mobile devices, on-demand data, and interfaces crafted for interaction and user experience, the one-page dashboard is a relic.

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The Next Generation of AI

O'Reilly on Data

Programs like AlphaZero and GPT-3 are massive accomplishments: they represent years of sustained work solving a difficult problem. But these problems are squarely within the domain of traditional AI. Playing Chess and Go or building ever-better language models have been AI projects for decades. The following projects have a different flavor: In February, PLOS Genetics published an article by researchers who are using GANs (Generative Adversarial Networks) to create artificial human genomes.

Modeling 363
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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. One CIO said it this way , “If CIOs invested in machine learning three years ago, they would have wasted their money. But if they wait another three years, they will never catch up.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Microsoft Azure: Cloud Computing for Data and Analytics

David Menninger's Analyst Perspectives

Organizations are increasingly using data as a strategic asset, which makes data services critical. Huge volumes of data need to be stored, managed, discovered and analyzed. Cloud computing and storage approaches provide enterprises with various capabilities to store and process their data in third-party data centers. The advent of data platforms previously discussed here are essential for organizations to effectively manage their data assets.

Analytics 218
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How To Improve Your Facility Management With Healthcare Reports

datapine

Healthcare is one of the world’s most essential sectors. As a result of increasing demand in certain branches of healthcare, driving down unnecessary expenditure while enhancing overall productivity is vital. Healthcare institutions need to run on maximum efficiency across the board—in some cases, it’s literally a matter of life or death. Despite this ominous message, we are living in the midst of a digital age.

Reporting 198

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Drill-through from Power BI to Paginated Report – Report Recipe #4

Paul Turley

Navigation between reports is the hallmark of an interactive reporting solution, enabling the ability to drill-through and see relevant details and contextual filtered information in a target report.

Reporting 145
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InfoTribes, Reality Brokers

O'Reilly on Data

It seems harder than ever to agree with others on basic facts, let alone to develop shared values and goals: we even claim to live in a post-truth era. 1 With anti-vaxxers, QAnon, Bernie Bros, flat earthers, the intellectual dark web, and disagreement worldwide as to the seriousness of COVID-19 and the effectiveness of masks, have we lost our shared reality?

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What Mature Data Infrastructure Looks Like

DataCamp

Unlocking the value of data in an organization starts with having the right data infrastructure and tooling foundations. Here’s a look at the current state and future trends of data infrastructure.

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Humans and AI: Should We Describe AI as Autonomous?

DataRobot

Beware the hype about AI systems. Although AI is powerful and generates trillions of dollars of economic value across the world, what you see in science fiction movies remains pure fiction. In this blog post, I will focus on the use of the word autonomous , the dangers of using it with stakeholders, and, in the context of customer experience, the inaccurate perception that all things can be automated, eliminating the need for interactions between employees and customers.

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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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Analytics On The Bleeding Edge: Transforming Data's Influence

Occam's Razor

Analytics teams are named for the silos and limitations within which they trap themselves. Paid Media. Owned Media. SEO. BI. Customer Service. Data Warehousing. Email. And, a thousand other silos (depending on your company size). One outcome of this reality is that while every team works hard to do their very best work, it is rare that they earn strategic influence from their work.

Analytics 131
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Introduction to Batch Normalization

Analytics Vidhya

ArticleVideo Book Objective Learn how to improve the neural network with the process of Batch Normalization. Understand the advantages batch normalization offers. Introduction. The post Introduction to Batch Normalization appeared first on Analytics Vidhya.

Analytics 400
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Choosing the right Machine Learning Framework

Domino Data Lab

Machine learning (ML) frameworks are interfaces that allow data scientists and developers to build and deploy machine learning models faster and easier. Machine learning is used in almost every industry, notably finance , insurance , healthcare , and marketing. Using these tools, businesses can scale their machine learning efforts while maintaining an efficient ML lifecycle.

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Mini Guide to Utilizing Data Analytics in Email Marketing

Smart Data Collective

Data analytics has been a very important aspect of modern marketing strategies. A growing number of companies are using data analytics to reach customers through virtually every channel, including email. Digital marketing is getting more competitive with each passing day, but small businesses can still rely on a time-tested channel: email marketing.

Marketing 143
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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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12 Rules for Data Storytelling

Juice Analytics

Are you ready to learn how to be a data storyteller, but don’t have enough time to review the many great resources ? Or maybe you don’t have the time to attend a world-class data storytelling workshop ? No problem. Here’s the CliffsNotes version of what it takes to tell stories with data. I’ve condensed down to 12 essential rules/principles, broken into two parts: 1) Thinking like a storyteller; 2) Design principles for data stories.

Metrics 138
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Gender Inequality Persists in Data Science and AI

Business Over Broadway

Results of a survey of data professionals show that about 1 out of 5 are women. Women are paid less than their male counterparts yet both women and men have similar levels of education. Ways of improving gender diversity in the field of data science are offered. Figure 1. US Labor Force Statistics for Selected Occupations. Even though women make up about half of the total workforce in the US, those numbers hide the disparities in some occupational domains.

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Push-Down Query Capabilities: Five Questions To Ask Your Cloud BI Provider

Boris Evelson

Software-as-a-service (SaaS) offers many benefits, including but not limited to elasticity: the ability to shrink and grow storage and compute resources on demand. Clients of most leading enterprise business intelligence (BI) platforms enjoy this cloud elasticity benefit but at a cost. Ultimately, elasticity requires both application and data components (compute and store) to be elastic, […].

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Neural Network 101 – Ultimate Guide for Starters

Analytics Vidhya

ArticleVideo Book Date: 03-July-2040 Mission: Project Aries Destination: Mars Date of arrival to Mars: 18-Feb-2041 Landing Location: Jezero Crater, Mars “Imagine you are on. The post Neural Network 101 – Ultimate Guide for Starters appeared first on Analytics Vidhya.

Analytics 400
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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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Data Gravity and Cloud Computing

TDAN

Cloud computing is growing rapidly as a deployment platform for IT infrastructure because it can offer significant benefits. But cloud computing is not always the answer, nor will it replace all of our on-prem computing systems anytime soon—no matter what the pundits are saying. It is true, though, that moving some types of workload into […].

IT 131
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Fleet Management and Big Data: Points to Consider

Smart Data Collective

According to a forecast by IDC and Seagate Technology, the global data sphere will grow more than fivefold in the next seven years. The total amount of new data will increase to 175 zettabytes by 2025 , up from 33 zettabytes in 2018. This ever-growing volume of information has given rise to the concept of big data. And I do not mean large amounts of information per se, but rather data that is processed at high speed and has a strong variability.

Big Data 142
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The Data Fluency Framework

Juice Analytics

Data alone isn’t valuable—it’s costly. Gathering, storing, and managing data all costs money. Data only becomes valuable when you start to get insights from it and apply those insights to actions. But how do you empower your organization to do that? The answer is not simply a better dashboard or more carefully designed data visualizations. These are helpful, but small pieces.

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How to Implement Data Lineage Mapping Techniques

Octopai

Ever reflect on what it would be like to be a piece of data that enters your BI system? Honey, I’m home! Now I’ll just sit down on my recliner and… hey! Where are you taking me? What? You’re changing my name, but “don’t-worry-I’ll-always-be-the-same”? What does that mean? Okay, well, let me just sit down here and… where are we going now? Why do I have to put on sunglasses and a fake mustache?

Metadata 130
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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.

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Metadata is Like Packaging: Seeing Beyond the Library Card Metaphor

Ontotext

From messages in a bottle to the pair of gold-anodized aluminum plaques placed on board of spacecraft Pioneer 10 and Pioneer 11 in the 1970s, how we package information is central to its visibility, durability and usefulness across different environments. And in our digital age, th? way we package information has a lot to do with metadata. The somewhat conventional metaphor about metadata is the one of the library card.

Metadata 124
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Language Detection Using Natural Language Processing

Analytics Vidhya

ArticleVideo Book Introduction Every Machine Learning enthusiast has a dream of building/working on a cool project, isn’t it? Mere understandings of the theory aren’t. The post Language Detection Using Natural Language Processing appeared first on Analytics Vidhya.

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CFO Analytics: What Is It and Why Should You Care?

Teradata

Finance-driven analytics might be the largest untapped opportunity for organizations & a catalyst for driving business value & strategic vision. But, what exactly is CFO analytics?

Analytics 119
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8 Revolutionary Applications Examples of Machine Learning in Real-Life

Smart Data Collective

Machine learning (ML) is an innovative tool that advances technology in every industry around the world. From the most subtle advances, like Netflix recommendations, to life-saving medical diagnostics or even writing content , machine learning facilitates it all. Due to its constant learning and evolution, the algorithms are able to adapt based on success and failure.

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Your Expert Guide to CX Orchestration & Enhancing Customer Journeys

Speaker: Keith Kmett, Principal CX Advisor at Medallia

Join Keith Kmett, Principal CX Advisor, in this new webinar that will focus on: Understanding CX Orchestration Fundamentals: Gain a solid understanding of what CX orchestration is, its significance in the customer experience landscape, and how it plays a crucial role in shaping customer journeys. This includes the key concepts, strategies, and best practices involved in CX orchestration. 🔑 Connection to Customer Journey Maps: How to effectively integrate customer journey mapping into the

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A Data Storytelling Checklist

Juice Analytics

Before you send off that data story or presentation, check out these eight guidelines to see if it is ready for prime-time. For more data storytelling inspiration, here’s a list of 20 world-class examples and our ultimate collection of resources. 1. Data is only one ingredient Words and images are the glue that holds your story together. Have you connected your data using a narrative flow?

Metrics 130
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24 Conditional Formatting Visuals in Microsoft Excel that Should Be Retired

Depict Data Studio

“You should go work at Microsoft and fix Excel’s terrible formatting.”. I can’t tell you how many times I’ve heard this from workshop participants. Bill Gates, are you reading this?? Microsoft Excel is lonnnnng overdue for some updates. Don’t get me wrong—it’s still my favorite program. With 750 million users worldwide, I won’t be switching to anything else.

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What Makes an Intelligent Organization? Insights From Morgan Stanley’s Chief Analytics and Data Officer

Dataiku

Organizations often say they want to be data-driven, analytically empowered, or even an AI organization. But what does it actually mean to be an “AI organization?” Have you ever heard anyone say they wanted to be a fax-driven organization or a phone-driven organization? Probably not. And that is exactly how Jeff McMillan, Chief Analytics and Data Officer for Morgan Stanley Wealth Management, explains how it sounds when organizations say they're aiming to become an "AI organization.

Analytics 116
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Data Science 101: Introduction to Cost Function

Analytics Vidhya

ArticleVideo Book Introduction While dealing with Linear Regression we can have multiple lines for different values of slopes and intercepts. But the main question. The post Data Science 101: Introduction to Cost Function appeared first on Analytics Vidhya.

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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.