Analytics Vidhya

OCTOBER 19, 2021

This article was published as a part of the Data Science Blogathon Snowflake is a cloud data platform that comes with a lot of unique features when compared to traditional on-premise RDBMS systems. In this tutorial, you will see the top 5 features that developers should know before implementing a solution on the Snowflake data […]. The post 5 Features Of Snowflake That Data Engineers Must Know appeared first on Analytics Vidhya.

Data Engineering 400

Data Engineering Data Engineer Data Engineering Data Engineering 400

Dataconomy

OCTOBER 8, 2021

Architects and interior designers have switched from pencils and papers to digital software and iPads, causing a significant change in design practices over the last few decades. Digital tools, as well as VR and AR technologies, are changing the way we learn, work, and live. And a whole new direction.

Artificial Intelligence 254

Artificial Intelligence Artificial Intelligence AI AI 254

FlowingData

OCTOBER 26, 2021

Here's how the distribution of genres has changed since 1945 up to present. Read More.

145

145

O'Reilly Media

OCTOBER 19, 2021

Much has been written about struggles of deploying machine learning projects to production. As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new

ML 145

ML ML Data Scientist AWS 145

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.

Analytics

DataRobot

OCTOBER 18, 2021

I have a confession to make—I’m a back-seat driver! When sitting in a taxi, I can’t help but grumble when the ride isn’t smooth, or the driver chooses the slowest lane of traffic. I have to fight the urge to take control. When it comes to shopping, I passively accept what is offered for sale. But my wife, who grew up in Asia where haggling is part of the culture, is different.

Algorithm 145

Algorithm AI AI 145

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. It can be used for something as visual as reducing traffic jams, to personalizing products and services, to improving the experience in multiplayer video games. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough.

Data Visualization 145

Data Visualization Big Data Big Data Predictive Analytics 145

Dataconomy

OCTOBER 21, 2021

Data is an indispensable resource for retailers. Today, most retail businesses understand that they must capitalize on digital data, but fewer know how to make the most of it. If these companies hope to reach their full potential, they must improve their data management. Data management is often a struggling.

Analytics 249

Analytics Analytics 249

FlowingData

OCTOBER 6, 2021

Zan Armstrong, Ian Johnson, and Mike Freeman for Observable wrote a guide on analyzing time series data. Using an energy dataset, they show how asking different questions can lead to different findings and visualizations: These are stories about analyzing data that changes over time. While most of us don’t dig into data about energy day-to-day, we hope the feel of this data and these questions will be familiar to anyone who regularly faces questions like “what changed?

144

144

O'Reilly Media

OCTOBER 12, 2021

Kevlin Henney and I were riffing on some ideas about GitHub Copilot , the tool for automatically generating code base on GPT-3’s language model, trained on the body of code that’s in GitHub. This article poses some questions and (perhaps) some answers, without trying to present any conclusions. First, we wondered about code quality. There are lots of ways to solve a given programming problem; but most of us have some ideas about what makes code “good” or “bad.”

Algorithm 145

Algorithm AI AI AWS 145

Tableau

OCTOBER 8, 2021

Francois Ajenstat. Chief Product Officer, Tableau. Spencer Czapiewski. October 8, 2021 - 11:41pm. October 12, 2021. It's more important than ever in this all digital, work from anywhere world for organizations to use data to make informed decisions. Speed, agility, and empowerment are crucial to thriving in this new environment. However, most organizations struggle to become data driven.

Tableau 138

Tableau Analytics Analytics Machine Learning 138

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.

AI

Smart Data Collective

OCTOBER 15, 2021

Big data technology has been a highly valuable asset for many companies around the world. Countless companies are utilizing big data to improve many aspects of their business. Some of the best applications of data analytics and AI technology has been in the field of marketing. Data-Driven Marketing is More Important than Ever. The competition out there is fierce, so it is vital that you find ways to make your business stand out from the crowd.

Big Data 144

Big Data Big Data Analytics Analytics 144

Analytics Vidhya

OCTOBER 7, 2021

This article was published as a part of the Data Science Blogathon Overview Data provides us with the power to analyze and forecast the events of the future. With each day, more and more companies are adopting data science techniques like predictive forecasting, clustering, and so on. While it’s very intriguing to keep learning about complex […].

Data Science 398

Data Science Clustering Analytics Analytics 398

Dataconomy

OCTOBER 29, 2021

Big data, specifically with the help of artificial intelligence (AI), empowers insurance companies to make better financial decisions. Data science can help mitigate fraudulent claims, enhance risk management, optimize customer support, and predict future events, among many other benefits. The result is higher profits for insurance companies and lower premiums.

Data Science 238

Data Science Big Data Big Data Artificial Intelligence 238

FlowingData

OCTOBER 28, 2021

Stacked area charts are a standard chart type that shows how a categorical distribution changes over time. There are packages that can do most of the work for you, but for a recent chart I found myself wanting more control over how the chart was drawn, which led me to drawing from scratch. Become a member for access to this — plus tutorials, courses, and guides.

141

141

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

AI

Applied Data Science

OCTOBER 25, 2021

How I learned to stop worrying and love the field This blog covers all the core themes to starting your career in data science: ? Exploration vs Exploitation ? Getting a theoretical edge ? Building your professional portfolio ? Learning how to tell stories with data ❤️ Getting the pulse of the community The demand for data scientists has been steadily rising in the past decade, with industries like retail, medicine and finance claiming the lion’s share.

Data Science 130

Data Science Machine Learning Machine Learning Deep Learning 130

Eugene Yan

OCTOBER 2, 2021

Simple baselines, ideas, tech stacks, and packages to try.

130

130

Smart Data Collective

OCTOBER 22, 2021

1.145 trillion megabytes! Unbelievably, this is the amount of data that was created every day in 2021. That’s a lot of data and a lot of work for experts working in the field of data science services. Amidst growing competition, businesses are under increasing pressure to come up with unique and more cost-effective ways to manufacture and market their products.

Data Science 143

Data Science Data Scientist Big Data Big Data 143

Analytics Vidhya

OCTOBER 2, 2021

This article was published as a part of the Data Science Blogathon Overview In the current scenario, the Data science field is dominated by Python/R but there is another competition added not so long ago, Julia! which we will be exploring in this guide. The famous quote (motto) of Julia is – Looks like Python, runs […]. The post Introduction to Deep Learning in Julia appeared first on Analytics Vidhya.

Deep Learning 396

Deep Learning Deep Learning Data Science Python 396

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.

AI

Dataconomy

OCTOBER 29, 2021

Artificial intelligence (AI) is transforming every sector and business function, resulting in a growing interest in it, its subcategories, and related areas such as machine learning and data science. While AI and automation might sound like the same concepts to many. But, in terms of procurement, both vary differently. Let’s.

Artificial Intelligence 235

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 235

FlowingData

OCTOBER 28, 2021

Welcome to issue #163 of The Process , the newsletter for FlowingData members that looks closer at how the charts get made. I’m Nathan Yau and every month I collect tools and resources to help you make better charts. Here’s the good stuff for October. Become a member for access to this — plus tutorials, courses, and guides.

141

141

Tableau

OCTOBER 29, 2021

Jason Schumacher. Housing and Homelessness Lead at Tableau Foundation. Doug Minkler. Senior Manager of Product and Technology at Housing Connector. Kristin Adderson. October 29, 2021 - 9:45pm. October 30, 2021. Housing Connector was founded on a belief that no unit should sit vacant while there are individuals in need of a home. Housing Connector helps people like Chauncey Williamson , who spent more than two years applying to over 20 apartments, simply to be turned away each time because of a l

Tableau 116

Tableau 116

Eugene Yan

OCTOBER 16, 2021

Write before you're ready, write for yourself, quantity over quality, and a few other lessons.

100

100

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?

Smart Data Collective

OCTOBER 21, 2021

Big data has touched almost every facet of our lives. It should be no surprise that the video gaming industry has been heavily influenced by developments in data technology. There are a number of potential opportunities to utilize big data in video games. One of the biggest benefits of integrating data analytics, AI and other technologies into video games is that it can help improve the user experience.

Big Data 142

Big Data Big Data Analytics Analytics 142

Analytics Vidhya

OCTOBER 23, 2021

This article was published as a part of the Data Science Blogathon This article was published as a part of the Data Science Blogathon Synopsis of Time Series Analysis A Time-Series represents a series of time-based orders. It would be Years, Months, Weeks, Days, Horus, Minutes, and Seconds A time series is an observation […]. The post A Comprehensive Guide to Time Series Analysis appeared first on Analytics Vidhya.

Data Science 391

Data Science Analytics Analytics Python 391

Dataconomy

OCTOBER 15, 2021

Facebook has announced Ego4D, a long-term project aimed at solving AI research challenges in “egocentric perception,” or first-person views. The goal is to teach AI systems to comprehend and interact with the world like humans do as opposed to in the third-person, omniscient way that most AI currently does. It’s.

AI 185

AI AI Artificial Intelligence Artificial Intelligence 185

FlowingData

OCTOBER 5, 2021

Inspired by a graphic on Reddit , Jim Vallandingham expanded the format for all the shows. Search for a show and get a heatmap for average ratings by season and episode. See how your favorite show went into the dumpster at the end or withstood the test of time. Nice. The data comes from IMDb Datasets , which seems like a fun time series dataset to poke at.

138

138

Advertisement

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

Tableau

OCTOBER 13, 2021

Mark Bradbourne. National Solutions Engineer, Tableau . Kristin Adderson. October 13, 2021 - 11:53pm. October 25, 2021. Like many of you, I’ve always loved Tableau Conference. Even when I was on the other side—as a customer, passionate Tableau Ambassador, and user group co-leader—it ranked right up there with my favorite holidays. Now with my second anniversary as a Tableau Solutions Engineer behind me, my love for Tableau Conference has only grown. .

Tableau 111

Tableau 111

Dataversity

OCTOBER 25, 2021

Click to learn more about author Nahla Davies. It’s common for enterprises to run into challenges such as lack of data visibility, problems with data security, and low Data Quality. But despite the dangers of poor data ethics and management, many enterprises are failing to take the steps they need to ensure quality Data Governance. Let’s break […].

Data Governance 98

Data Governance Data Quality Data Silos Cloud Data 98

Smart Data Collective

OCTOBER 21, 2021

Data security has become a greater concern than ever in recent years. There were only 662 data breaches in 2010. That number rose to over 1,000 by last year. The rising number of data breaches has created a strong demand for data security professionals. The unfortunate truth is that we need more big data professionals than ever. The shortage of data-savvy security experts is actually holding the United States and other countries back.

Big Data 141

Big Data Big Data 141

Analytics Vidhya

OCTOBER 20, 2021

This article was published as a part of the Data Science Blogathon It was just past the midway mark of 2019 and the Internet casually decided to trick us as it normally does. An optical illusion went viral on Twitter which depicted a gray image that looked colored! Confused? Well, let’s dive deep in then! […]. The post Learn how to make your own Optical Illusion in Python appeared first on Analytics Vidhya.

Python 388

Python Data Science Analytics Analytics 388

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!