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

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How much Mathematics do you need to know for Machine Learning?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Image Source No matter how long-running a love-hate relationship you have. The post How much Mathematics do you need to know for Machine Learning? appeared first on Analytics Vidhya.

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Combating infobesity with smaller data ‘bytes’

Dataconomy

“Infobesity” is a term we’re hearing more frequently these days as consumers are creating exponentially more data in their daily lives, and brands are similarly consuming larger portions. From eCommerce sites to a multitude of social media channels, there are terabytes of data available in today’s increasingly digital world.

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Counting Happiness and Where it Comes From

FlowingData

Researchers asked 10,000 participants to list ten things that recently made them happy. I counted and connected the dots. Read More.

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4 Ways Data-Driven Automation Enhances Merchandise Distribution

Smart Data Collective

The supply-chain analytics market is projected to be worth over $16.8 billion by 2027. This is largely due to the benefits of using data analytics to improve automation in merchandise distribution. As a retailer or manufacturer selling via e-commerce platforms, you already know the importance of using big data to improve automation. While some jobs must be performed by actual humans, many can be performed just as well through algorithms, machines, and other technologies.

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

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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Predicting The Wind Speed Using K-Neighbors Classifier

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Hi, all Analytics Vidhya readers. Hope you all are doing well. The post Predicting The Wind Speed Using K-Neighbors Classifier appeared first on Analytics Vidhya.

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Prioritizing privacy in an IoT world

Dataconomy

The Internet of Things (IoT) is seemingly everywhere these days. You can find IoT devices in connected utility systems, appliances, sensors, security systems, cameras, wearable health devices, and pretty much everything else you can think of. This is just the start of what’s to come, with the IoT market on.

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CRM’s Have a Big Data Technical Debt Problem: Here’s How to Fix It

Smart Data Collective

Customer relationship management (CRM) platforms are very reliant on big data. As these platforms become more widely used, some of the data resources they depend on become more stretched. CRM providers need to find ways to address the technical debt problem they are facing through new big data initiatives. This will be easier as advances in big data make this more possible.

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A Guide To Monte Carlo Simulation!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Monte Carlo simulation is a computational algorithm that makes use. The post A Guide To Monte Carlo Simulation! appeared first on Analytics Vidhya.

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Tableau partners with Pathstream to build equitable access to data education

Tableau

Courtney Totten. Director, Academic Programs. Alyssa Jenson. July 29, 2021 - 11:28pm. July 30, 2021. At Tableau, we have had a front-row seat to the rising need for data skills across all organizations, all communities, and groups. From marketing, operations, to sales and all aspects of leadership - everyone needs to know how to read and communicate with data.

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? Visualization Tools and Learning Resources, July 2021 Roundup

FlowingData

Welcome to issue #150 of The Process , the newsletter for FlowingData members about how the charts get made. I’m Nathan Yau, and every month I collect tools and resources that help you visualize data better. This is the good stuff for July. Become a member for access to this — plus tutorials, courses, and guides.

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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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Cloud Technology: the Cornerstone of a Small Business’s Online Presence

Smart Data Collective

We have talked in depth about the massive benefits of cloud technology for small businesses. There are a number of compelling reasons that businesses need to turn to cloud technology to develop a strong edge against the competition. This explains why the cloud technology market will grow by $287 billion over the next four years. There are a number of cloud computing applications that can help companies improve their bottom lines.

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Getting Started with Natural Language Processing using Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Why NLP? Natural Language Processing has always been a key tenet. The post Getting Started with Natural Language Processing using Python appeared first on Analytics Vidhya.

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Humans and AI: What Should You Tell Consumers?

DataRobot

Have you ever asked a simple question, then unexpectedly received a complex answer? In my experience, this happened most often when dealing with lawyers and academics, but more recently I’ve noticed the same behavior coming from data scientists. Sometimes I just want a quick and simple explanation! What was your most hated subject at school? An AP-AOL news poll found that mathematics was the subject that 37% of Americans hated most during their school days, easily ranking as the most hated schoo

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Rate of change in Covid-19 cases

FlowingData

We’re all familiar with the Covid-19 line charts that show cases over time, which highlights absolute counts. There are peaks. There are some valleys. Emory Parker for STAT shifted the focus to how quickly the rate is changing , or acceleration, to emphasize which direction rates are headed. Tags: baseline , change , coronavirus , STAT.

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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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Using Data Analytics to Build Dedicated Project Teams: Steps to Success

Smart Data Collective

Data analytics is the backbone in many modern organizations. Companies need to analyze data to optimize their business models in a variety of ways. They have found that big data has changed their business models in countless ways. One of the biggest applications of data analytics has been through the development and organization of dedicated teams. This has been even more important during the pandemic, but this data-driven approach to business management will continue long after the pandemic sub

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Anomaly detection using Isolation Forest – A Complete Guide

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: Any data point/observation that deviates significantly from the other observations. The post Anomaly detection using Isolation Forest – A Complete Guide appeared first on Analytics Vidhya.

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How Artificial Intelligence Can Improve Diagnostic Health Care

Dataversity

Click to learn more about author Ahmer Inam. How might artificial intelligence (AI) help physicians diagnose medical conditions more effectively? This question grows more important each year. Approximately 400,000 hospitalized patients experience some type of preventable harm each year, costing the health care industry $20 billion, according to NCBI.

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Olympic medal tracker

FlowingData

The Bloomberg medal tracker is fun to look at. I think the graphics desk was instructed to use as many new-ish chart types as they could without alienating readers: the streamgraph, force-directed clusters, an international map grid, line-based isotype, and plenty of bubbles. I’m into it. Tags: medal , Olympics , tracker.

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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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Why You Must Leverage Encryption for Data Protection in the Digital Transformation Era

Smart Data Collective

The race to embrace digital transformation is on and a lot of organizations are doing everything possible to ensure they digitize every piece of information; this is, however, putting at greater risks of cyber-attacks and data breaches. Taking into account that the global spend on digital transformation is projected to hit an astonishing $2.39 Trillion by 2024 , it’s obvious that data security challenges will hit new heights.

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Creating Data Science Python Package using Jupyter Notebook

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Image by Author | Photo by Shahadat Rahman | Elements. The post Creating Data Science Python Package using Jupyter Notebook appeared first on Analytics Vidhya.

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Connect natively to Dremio in Tableau Online to query your data lakes

Tableau

Anthony Roach. Director, Product Management. Kristin Adderson. July 28, 2021 - 5:42pm. July 29, 2021. Connectivity is where the Tableau experience starts . Our mission at Tableau is to help customers see and understand their data. To accomplish this, customers need to be able to access whatever data is important to their analytic needs, wherever it lives.

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How time use changed in 2020

FlowingData

Ben Casselman and Ella Koeze for The New York Times compared time use in 2020 against time use in 2019 , among different demographic groups. As we know, the pandemic affected everyone differently. The slope charts show overall averages, so it would be an interesting next step to look at more granular variations. I suspect you’d see more pronounced shifts.

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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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Rise of the Cyborgs: Using AI/ML to Enhance Human Intelligence (Part 1)

Dataversity

Click to learn more about author Assaf Egozi. Modern organizations house a growing number of “citizen data analysts.” These individuals hold a wide range of positions in the enterprise, from executive and business roles through to data, business, operations, marketing, and sales analyst roles. They work across a wide range of functions, striving to improve insights into […].

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Car Price Prediction – Machine Learning vs Deep Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon 1. Objective In this article, we will be predicting the prices. The post Car Price Prediction – Machine Learning vs Deep Learning appeared first on Analytics Vidhya.

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DataRobot is Acquiring Algorithmia, Enhancing Leading MLOps Infrastructure to Get Models to Production Fast, with Optimized GPU Workloads at Scale

DataRobot

In a global marketplace where decision-making needs to happen with increasing velocity, data science teams often need not only to speed up their modeling deployment but also do it at scale across their entire enterprise. Often, they are doing this with smaller teams in place than they need due to the shortage of data scientists. It’s no wonder, then, that it can take an average of 17 months for a typical firm to break even on its returns from AI projects.

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Why I Joined Alation: A Former Customer’s Story

Alation

Beginning a digital transformation journey in a big organization can feel daunting. This is not a simple or straightforward undertaking! How do you initiate change within a system containing many thousands of people and millions of bytes of data? It begins with recognizing a problem. During my time as a data specialist at American Family Insurance, it became clear that we had to move away from the way things had been done in the past.

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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 Duality of DBaaS: Friend or Foe?

Dataversity

Click to learn more about author Matt Yonkovit. A forest fire is a powerful force of nature. Capable of massive destruction, but also with the potential to bring forth new life and facilitate positive growth. Cloud database-as-a-service offerings have a similar duality. The power of the cloud has transformed our technology infrastructure. Nowhere is this more evident […].

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Understanding K – Means Clustering WIth Customer Segmentation Usecase

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview This article will help us understand the working behind K-means. The post Understanding K – Means Clustering WIth Customer Segmentation Usecase appeared first on Analytics Vidhya.

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Generally capable agents emerge from open-ended play

DeepMind

In recent years, artificial intelligence agents have succeeded in a range of complex game environments. For instance, AlphaZero beat world-champion programs in chess, shogi, and Go after starting out with knowing no more than the basic rules of how to play. Through reinforcement learning (RL), this single system learnt by playing round after round of games through a repetitive process of trial and error.

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CIOs Make the Business Case for a Data Catalog

Alation

6 Business Problems Data Catalogs Solve. CIOs seek salespeople who use plain language to describe complex business problems. In Key Takeaways from ‘The Qualified Sales Leader’, I shared that salespeople must sell product value over feature and function if they wish to excel. The question I ask now is: What business problems does a data catalog solve for business customers?

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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!