Sat.Apr 24, 2021 - Fri.Apr 30, 2021

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Estimation of Neurons and Forward Propagation in Neural Net

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction In the previous article, we looked at what are. The post Estimation of Neurons and Forward Propagation in Neural Net appeared first on Analytics Vidhya.

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How publishers use AI to balance personalized experiences with monetization strategies

Dataconomy

Without a doubt, publishers are well-placed to harness the relationship with their audience – possessing the means to collect and build the strong first-party data sets required to deliver personalized experiences and power various revenue streams. But, as the industry moves further away from cookie-based targeting – and Google speaks.

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4 Industries Benefiting from Data-Driven Mobile App Development

Smart Data Collective

As technology continues to evolve, industry leaders are paving the way by using new and emerging capabilities to their advantage. For instance, mobile app development has been an important feature of the last decade. As users demand more intuitive apps and mobile friendly websites from goods and services providers, how are key industries benefiting?

Big Data 139
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Search: Query Matching via Lexical, Graph, and Embedding Methods

Eugene Yan

An overview and comparison of the various approaches, with examples from industry search systems.

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Top 8 Hidden Python Packages For Machine Learning in 2021

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Python is one of the most loved languages in. The post Top 8 Hidden Python Packages For Machine Learning in 2021 appeared first on Analytics Vidhya.

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Collaboration is key to achieving trust and transparency in the new era of digital identity

Dataconomy

As consumers across the globe become increasingly aware of their digital identity and personal data rights and further regulations take hold, it’s unsurprising that Google has announced it will not be replacing third-party cookies with identifiers and email addresses. Advertisers now need to look for new ways to engage valuable.

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Climate change and uncertainty

FlowingData

In his new data-driven documentary , Neil Halloran digs into the uncertainty attached to estimates for climate change. Halloran’s argument is that we have to understand the limitations of forecasting the future before we can change it. Tags: climate change , documentary , Neil Halloran , uncertainty.

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Google Earth Engine Machine Learning for Land Cover Classification (with Code)

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introducing Earth Engine and Remote Sensing Earth Engine, also referred. The post Google Earth Engine Machine Learning for Land Cover Classification (with Code) appeared first on Analytics Vidhya.

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AI in 3D Bioprinting

Dataconomy

Medical scientists seeking new ways to regenerate complex biological systems from cells have led to the advent of a 21st-century tissue engineering technology called 3D bio-printing. Without question, research on 3D bioprinting is new, disruptive, and expanding too. By taking advantage of AI, 3D bio-printing technology can only get better.

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Preparing for The Most Common Data Science Job Interview Questions

Smart Data Collective

The importance of data in the modern world is hard to overstate. Advancements in AI, machine learning, and platforms such as Google Analytics now mean that masses of data are compiled by businesses on a global scale each day. With big data becoming pivotal in the construction sector and other top industries using data to connect better with customers, information really is crucial to the global economy now.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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Guide to Digital Transformation: Data-first Architecture

Dataversity

Click to learn more about author John Ottman. The goal of digital transformation remains the same as ever – to become more data-driven. We have learned how to gain a competitive advantage by capturing business events in data. Events are data snap-shots of complex activity sourced from the web, customer systems, ERP transactions, social media, […].

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Automating Machine Learning tasks using EvalML Library

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. In today’s AI-driven world, Machine Learning plays a vital role. The post Automating Machine Learning tasks using EvalML Library appeared first on Analytics Vidhya.

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What we can learn from open data: COVID-19 in the Netherlands

Tableau

Stephanie Jensen. Marketing Content & Editorial Manager. Kristin Adderson. April 29, 2021 - 4:36pm. April 29, 2021. According to the European Data Portal , “without data we can’t build information, and without information there is no new knowledge.” The coronavirus pandemic has brought even more attention to the criticality of accessible data for essential insights—from public health, economic, equity, and behavioral perspectives, to name just a few areas impacted by COVID-19.

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How AI Is Going to Drastically Change the Future of the Automotive Sector

Smart Data Collective

Artificial intelligence has had a dramatic impact on the efficiencies of daily human tasks as well as complex intellectual tasks that require substantial human intelligence. AI is taking over the automotive industry as well, handling the reins in every department ranging from designing and manufacturing cars to car maintenance, safety, and AI-enabled cockpits.

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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The Shift toward Intelligent Automation

DataRobot

As organizations start getting back to normal after the COVID-19 pandemic, AI and machine learning is top of mind for many of these leaders. How to adopt AI and machine learning into business processes is a critical goal to improve process efficiency and scale to handle the increased demand for AI and machine learning for years to come. One topic that is of interest in this space is the term intelligent automation.

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Train Machine Learning Models Using CPU Multi Cores

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Overview introduction reduce execution time dataset reading dataset handling categorical. The post Train Machine Learning Models Using CPU Multi Cores appeared first on Analytics Vidhya.

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Tableau Online launches Salesforce sign-in capabilities

Tableau

Miranda Osterheld. Senior product manager. Kristin Adderson. April 27, 2021 - 9:49pm. April 27, 2021. Tableau Online Site Admins can now enable user authentication with their Salesforce credentials. With more customers leveraging the power of Tableau and Salesforce together, the ability to use Salesforce credentials means fewer passwords to manage and an easier, quicker time shifting between applications.

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Big Data Is Rapidly Changing How We Look at Economics

Smart Data Collective

Big data has evolved from a technology buzzword into a real-world solution that helps companies and governments analyze data, extract the meaningful statistics, and apply it into their specific business needs. It’s not so much the realization that this information is collected, but what can be effectively done with it. There is a use for big data in pretty much everything we do, with the economic forecasts proving to be no different.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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? Visualization Tools and Learning Resources, April 2021 Roundup

FlowingData

Welcome to issue #137 of The Process, the newsletter for FlowingData members about charts. I’m Nathan Yau, and every month I collect visualization tools and resources that help you make better use of data. Here’s the good stuff for April 2021. Become a member for access to this — plus tutorials, courses, and guides.

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Introduction and a New Convection About Data Science

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Today Data Science has become a huge topic and. The post Introduction and a New Convection About Data Science appeared first on Analytics Vidhya.

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Introducing the Data Leadership Collaborative

Tableau

Stephanie Richardson. Vice President, Tableau Community. Ateken Abla. April 30, 2021 - 3:19pm. May 3, 2021. We’re thrilled to announce the Data Leadership Collaborative (DLC) , a new community dedicated to bringing like-minded data leaders together to connect, learn, and help each other progress on the journey to building data-driven organizations. The DLC applies the power of community to the challenges many organizations face as they establish their data cultures.

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3 Huge Reasons that Data Integrity is Absolutely Essential

Smart Data Collective

Everyone knows about the importance of data security. However, your data integrity practices are just as vital. But what exactly is data integrity? How can data integrity be damaged? And why does data integrity matter? In this post, we will run you through the key things you need to know about these fundamental questions about the integrity of your data.

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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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How to Protect Your Data Against Bad Actors During Pandemics and Beyond

Dataversity

Click to learn more about author Don Boxley. The number-one enterprise pain point, according to new research on those who used a VPN for network access and/or security measures, is inadequate security. This was the finding based on new research, conducted for DH2i prior to the COVID-19 stay-at-home guidance, that explored the Pre-Pandemic State of […].

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Speed Up Text Pre Processing Using TextHero Python Library

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Natural Language Processing, typically abbreviated as NLP, The post Speed Up Text Pre Processing Using TextHero Python Library appeared first on Analytics Vidhya.

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Strong Speakers List Highlights DataRobot’s 2021 AI Experience Worldwide Conference

DataRobot

The AI Experience Worldwide (Virtual) Conference , scheduled for May 11-12, 2021 in the APAC, EMEA, and Americas regions, is right around the corner. This year’s theme of The Hunt for Transformational Growth is designed to help organizations unleash the power of enterprise AI to improve forecasts, generate actionable insights, and unlock exponential growth for businesses worldwide.

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Remote Workers Demand Data-Driven Cybersecurity Platforms

Smart Data Collective

It’s no secret that data becomes more valuable as it increases in connections. With almost every industry sector having moved at least some portion of its workforce to a virtual office space, the amount and value of the data being created daily has increased exponentially. Metcalfe’s law tells us that the inherent worth of any communication networks is directly proportional to the number of people sharing data across it.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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The Data Challenges of a Return to Service

Dataversity

Click to learn more about author Kaycee Lai. COVID has been particularly rough on companies that provide in-person entertainment experiences–theme parks, cruise lines, movie theatres, casinos, concert promoters, resorts, etc. With summer approaching, we’re seeing signs that some of these companies may be opening up operations again. Disneyland, for instance, just announced it is reopening […].

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Short Quiz to Help You Prepare Better for Data Science Interviews

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Interviews are the most challenging part of getting. The post Short Quiz to Help You Prepare Better for Data Science Interviews appeared first on Analytics Vidhya.

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Product Clustering Techniques in Demand Forecasting

DataRobot

Demand forecasting is a common Time Series use case in DataRobot. Using historical sales data, together with data related to product features, calendar of events, and economic indicators, we can produce forecasts of future demand. We can then use these forecasts for inventory and supply chain planning, making overall operations more efficient. For some companies, a common issue in demand forecasting is the abundance of product lines, or stock keeping units (SKUs).

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How to Reduce Sensitive Data Exposure for Your Enterprise

Smart Data Collective

Businesses cannot risk putting data security aside. With hackers and identity thieves using more advanced methods, it’s crucial for any enterprise to adopt new tools in keeping sensitive data from falling into the wrong hands and preventing cases of fraud. In fact, there is no better time than now for you to invest in beefing up your defenses.

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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!