A Guide to the Naive Bayes Algorithm

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction to Naive Bayes algorithm Naive Bayes is a classification algorithm. The post A Guide to the Naive Bayes Algorithm appeared first on Analytics Vidhya.

Snowflake Builds on Its Success

David Menninger's Analyst Perspectives

Traditional on-premises data processing solutions have led to a hugely complex and expensive set of data silos where IT spends more time managing the infrastructure than extracting value from the data.

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Data Quality Can Make Or Break Your Healthcare Business


Whether it’s handwritten by a doctor on a sheet of paper or entered into a computer system, data plays a crucial role in healthcare. At an individual level, patient data determines the course of treatment.

How can wholesale food businesses increase sales?


The wholesale food industry is faced with many new challenges as a result of the pandemic, most notably a decline in demand for goods as hotels, restaurants, schools and sporting venues operate at a lower capacity.

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The Best Data Retention Policy & Template To Get You Started

In this whitepaper from Onna, we will walk you through data retention best practices and provide you with a downloadable template to help you get organized and gain better visibility into your data’s lifecycle.

Customer Data Analytics is Critical to the Future of Account-Based Marketing

Smart Data Collective

We have talked at length about the importance of data analytics in the field of marketing. Data analytics offers many useful insights for companies striving to boost their market share. One of the best applications of data analytics is through enhanced account-based marketing.

PyCaret 2.2: Efficient Pipelines for Model Development

Domino Data Lab

Data science is an exciting field, but it can be intimidating to get started, especially for those new to coding.

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The Art and Science of FP&A Storytelling


I recently participated in a web seminar on the Art and Science of FP&A Storytelling, hosted by the founder and CEO of FP&A Research Larysa Melnychuk along with other guests Pasquale della Puca , part of the global finance team at Beckman Coulter and Angelica Ancira , Global Digital Planning Lead at PepsiCo.

Fostering community to help drive cultural change


2020 put on full display how humanity shows up in times of hardship. We saw everything from street celebrations to usher weary medical personnel home after long days fighting to save lives to places like food banks receiving more donations and volunteers than ever before.

A First Look at Gen 2 Composite Models with Live Power BI Datasets

Paul Turley

About three years ago when the data model development engineers from the Power BI product team told me they were working on the ability for tabular data models to share other published data models, that sounded amazing and almost too good to be true.

Our Top Data and Analytics Predicts for 2021

Andrew White

Predicts 2021: Data and Analytics Leaders Are Poised for Success but Risk an Uncertain Future : By 2023, 50% of chief digital officers in enterprises without a chief data officer (CDO) will need to become the de facto CDO to succeed.

Building Evolvable Architectures

Speaker: Dr. Rebecca Parsons, CTO of ThoughtWorks

The software development ecosystem exists in a state of dynamic equilibrium, where any new tool, framework, or technique leads to disruption and the establishment of a new equilibrium. Predictability is impossible when the foundation architects plan against is constantly changing in unexpected ways. It’s no surprise many CIOs and CTOs are struggling to adapt, in part because their architecture isn’t equipped to evolve. This webinar will discuss what’s at stake if companies continue to use long term architecture plans.

ML Interpretability using LIME in R

Analytics Vidhya

ArticleVideos Overview Merely building the model is not enough without stakeholders not being to interpret the outputs of your model In this article, understand. The post ML Interpretability using LIME in R appeared first on Analytics Vidhya.

Cloudera Consolidates Its Data Platform

David Menninger's Analyst Perspectives

Organizations are dealing with exponentially increasing data that ranges broadly from customer-generated information, financial transactions, edge-generated data and even operational IT server logs. A combination of complex data lake and data warehouse capabilities are required to leverage this data.

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How IoT Is Transforming the Future of Food


Interconnected technologies have slowly permeated each aspect of human life. From health, fitness and home security to large-scale industries, the Internet of Things (IoT) makes it possible to automate nearly anything.

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Why spreadsheet reporting is killing your business


Microsoft Excel is frequently referred to as the number one business intelligence (BI) tool because it is one of the most commonly used applications. For smaller businesses, Excel is a useful tool for simple calculations and analysis.

Are Your Embedded Analytics DevOps-Friendly?

Does your analytics solution work with your current tech stack and DevOps practices? If not, any update to the analytics could increase deployment complexity and become difficult to maintain. Learn the 5 elements of a DevOps-friendly embedded analytics solution.

Data Governance is Vital to the Future of a World Ruled by Artificial Intelligence

Smart Data Collective

Artificial intelligence has been a huge revolutionary advance for modern consumers and businesses. It has led to some of the most important and pressing discoveries. The market was worth $39.9 billion in 2019 and is growing at a pace of 42% a year between 2020 and 2027.

Snowflake and Domino: Better Together

Domino Data Lab

Introduction. Arming data science teams with the access and capabilities needed to establish a two-way flow of information is one critical challenge many organizations face when it comes to unlocking value from their modeling efforts.

Is Feedback Really A “Gift”?

Adrian Reed's Blog

Image Credit: © Jérôme Rommé— stock.adobe.com #223862658. It’s difficult to imagine how any practitioner could improve without seeing, seeking and considering feedback 1.

Architectural Styles that Make Louisville Housing So Unique

Tre Pryor

Louisville is a remarkable town. It is a crossroads of historical cultures, and its architecture reflects this splendidly.

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Digital Trends Report 2020

As part of our goal to continue helping our community during these times, we wanted to share with you this critical data on the state of digital products across industries and provide context on how businesses are responding to the changing winds.

Building a Machine Learning Application With Cloudera Data Science Workbench And Operational Database, Part 1: The Set-Up & Basics


Introduction. Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models.

Doing Power BI the Right Way: 4. Power Query in Dataflows or Power BI Desktop

Paul Turley

Part of the the series: Doing Power BI the Right Way Power BI, more that any other Microsoft product in my recollection, offers more options and choices to architect and deliver a solution.

Moving On From PASS. What’s Next?

Tim Mitchell

The COVID-19 global pandemic was by far the biggest influencer of 2020. This virus has cost over 1.8 million lives worldwide, and has upended normal life and commerce for most everyone. Many thousands of businesses were forced to close, costing millions of jobs.


Bear run or bull run, Can Reinforcement Learning help in Automated trading?

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Bear and bull are terms that you will get to. The post Bear run or bull run, Can Reinforcement Learning help in Automated trading? appeared first on Analytics Vidhya.

5 Things a Data Scientist Can Do to Stay Current

DataRobot together with Snowflake – a leading cloud data platform provider — is helping data scientists stay current with the latest technology and data science best practices so that they can excel in an increasingly AI-driven workplace. Five Things a Data Scientist Can Do to Stay Current offers data scientists guidance for thriving in AI-driven enterprises.

Tableau and Salesforce bring New Look to Business Analytics

David Menninger's Analyst Perspectives

Businesses are transforming their organizations, building a data culture and deploying sophisticated analytics more broadly than ever. However, the process of using data and analytics is not always easy.

The Impact Of AI On Cybersecurity


Artificial intelligence is a term that many science fiction fans are well aware of. However, in recent years, it has gone from fiction pages into reality, as more and more developers are leveraging software's ability to teach itself.

How can data analytics help janitorial and sanitary companies grow their business?


Having a clean living and working environment is paramount, which has only heightened since the onsite of the coronavirus. When it comes to sanitation and cleanliness, this cannot be taken for granted – especially as workspaces and homes need to meet specific safety standards.

Artificial Intelligence Creates Tremendous Changes for the Direction of Marketing

Smart Data Collective

Artificial intelligence (AI) powered solutions have popped up across numerous industries. From healthcare to transportation, it has found applications in a vast number of things and business marketing is no different.

Testing at Every Stage of Development

Up to 80% of new products fail. The reality is harsh and the reasons why are endless. Perhaps the new product couldn’t oust a customer favorite. Maybe it looked great but was too hard to use. Or, despite being a superior product, the go-to-market strategy failed. There’s always a risk when building a new product, but you can hedge your bets by understanding exactly what your customers' expectations truly are at every step of the development process.

The Lifecycle of Data

The Data Administration Newsletter

Most data is not static. No, data has a life in which it changes, is used for perhaps multiple purposes, and gets moved all over the place. So, it makes sense to think about the lifecycle of your data at your organization. The accompanying diagram helps to demonstrate this lifecycle.

The Denodo Platform and the Internet of Things

Data Virtualization

In this post, I would like to share some ideas about how data virtualization and the Denodo Platform can be helpful in the exciting new world of edge computing, or the Internet of Things (IoT). The idea of the.

FIBO in Context


Introduction. The Financial Industry Business Ontology (FIBO) is a standard that is being developed and published by the Enterprise Data Management Council that attempts to capture business domain knowledge using sophisticated knowledge representation techniques and linked open data technologies.

New Applied ML Research: Few-shot Text Classification


Text classification is a ubiquitous capability with a wealth of use cases. For example, recommendation systems rely on properly classifying text content such as news articles or product descriptions in order to provide users with the most relevant information.

How Embedding AI-Powered Analytics Can Give You a Competitive Advantage

Embedding dashboards and reports aren’t enough. Futureproof your application by offering instant, actionable insights that will give you and your customers a competitive advantage.