Sat.Oct 09, 2021 - Fri.Oct 15, 2021

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Support Vector Machine(SVM): A Complete guide for beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction to Support Vector Machine(SVM) SVM is a powerful supervised algorithm that works best on smaller datasets but on complex ones. Support Vector Machine, abbreviated as SVM can be used for both regression and classification tasks, but generally, they work best in classification […].

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Facebook introduces dataset and benchmarks to make AI more ‘egocentric’

Dataconomy

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.

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Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

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.

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The Quality of Auto-Generated Code

O'Reilly Media

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.”

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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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A Detailed Guide on Web Scraping using Python framework!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview: What is a web scraping and how does it work with Python? Interestingly, Web scraping is a word that refers to the practice of extracting and processing vast amounts of data from the internet using a computer or algorithm. Scraping data from the […]. The post A Detailed Guide on Web Scraping using Python framework!

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How the Longest Running Shows Rated Over Episodes

FlowingData

Most television shows don't get past the first season, but there are some that manage to stick around. These are the 175 longest running shows on IMDb that have ratings. Read More.

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Top tips to make the most of Tableau Conference 2021

Tableau

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. .

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Making Natural Language Processing easy with TextBlob

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Image 1 First of all, don’t let the title deceive you! Natural Language Processing is a vast field of its own. It is evident that a lot of linguistic computation and analysis can easily be performed with modern NLP tools and applications. From […]. The post Making Natural Language Processing easy with TextBlob appeared first on Analytics Vidhya.

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A data visualization magazine

FlowingData

Nightingale is a publication from Data Visualization Society that offers more depth for many topics in the field of visualization. They’re working on a print magazine of the same name. Subscribed. Tags: magazine.

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Important Steps to Take to Address the Bias in AI

Smart Data Collective

We mentioned previously that bias is a big problem in machine learning that has to be mitigated. People need to take important steps to help mitigate it for the future. Regardless of how culturally, socially, or environmentally aware people consider themselves to be, bias is an inherent trait that everyone has. We are naturally attracted to facts that confirm our own beliefs.

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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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Mapping technology gap data to address and eliminate the digital divide

Tableau

Channing Nesbitt. Co-lead of Tableau Foundation’s Racial Justice Data Initiative. Kristin Adderson. October 14, 2021 - 11:00pm. October 15, 2021. In the work to close the digital divide in the U.S., Digitunity’s Technology Gap Map TM has become a powerful visualization of the racial, socioeconomic, and geographic disparities impacting device ownership and driving inequitable access to opportunity.

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Leveraging PyTorch to Speed-Up Deep Learning with GPUs

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview: Users formerly needed to know specialist languages, such as OpenGL, to use GPUs, which is related to their original purpose. These languages were designed specifically for GPUs, making them difficult to learn and use. GPUs, which were originally designed to speed up graphics […].

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Simulating how just a little gender bias in the workplace can lead to big effects up the chain

FlowingData

Yuhao Du, Jessica Nordell, and Kenneth Joseph used simulations to study the effects of small gender biases at entry level up to executive level. It doesn’t take much to skew the distribution. For NYT Opinion, Yaryna Serkez shows the simulation in action with moving bubbles and stacked area charts for each work level. The simulation imagines a company where female performance is undervalued by 3 percent.

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How Can You Use Machine Learning to Optimize Pricing in FinTech?

Smart Data Collective

FinTech is about connecting with customers. They expect something different from classically understood banking. The more you know about your audience, the more you can offer them. It’s similar to prices – price optimization through machine learning is a great tool to grow your revenue. What can you learn from real-market examples? Figuring out the best pricing model can be tricky.

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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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Transform with trusted data: How good governance accelerates your Data Culture

Tableau

Jeremy Blaney. Director, Tableau Blueprint. Spencer Czapiewski. October 11, 2021 - 3:25am. October 14, 2021. There's a natural tension in many organizations around data governance. While IT recognizes its importance to ensure the responsible use of data, governance can often seem like a hindrance to organizational agility. But business intelligence models have evolved beyond centralized, linear processes—it's time to leave behind historic notions of governance as restrictive and embrace a flexib

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Machine Learning Model Deployment using Streamlit

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview of Streamlit If you are someone who has built ML models for real-time predictions and wondering how to deploy models in the form of web applications, to increase their accessibility. You are at the right place as in this article you will be […]. The post Machine Learning Model Deployment using Streamlit appeared first on Analytics Vidhya.

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Possible cheating seen in a scatterplot

FlowingData

When plotting Russian election results, a structured grid patterns appear. From The Economist : When Dmitry Kobak and Sergey Shpilkin, two researchers, analysed the results, they found that an unusually high number of turnout and vote-share results were multiples of five (eg, 50%, 55%, 60%), a tell-tale sign of manipulation. According to Messrs Kobak and Shpilkin, there were at least 1,310 polling stations (out of 96,325) with results that were suspiciously tidy, with rounder numbers than you wo

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6 Data-Driven Tips to Dramatically Improve User Experience on Your Site

Smart Data Collective

We have talked about the benefits of using big data in web design. One of the most important benefits of data analytics is improving user experience. Jenny Booth highlighted this in her post Data-informed design: Getting started with UX analytics. We wanted to cover this topic in more depth. Big Data is Crucial for Improving Online User Experience. Companies that use data technology strategically are able to significantly boost their overall conversion rates.

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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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IT’s role in building a Data Culture: Analytics agility, proficiency, and community

Tableau

Loreal Lynch. Vice President, Product, Tableau. Spencer Czapiewski. October 15, 2021 - 4:56am. December 6, 2021. This is the final post in a three-part series about transformational analytics for the enterprise. In case you missed them, read the first on governance and data management that enables your digital business , and the second on modern analytics for fast decision-making.

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An Introduction to Problem-Solving using Search Algorithms for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview In computer science, problem-solving refers to artificial intelligence techniques, including various techniques such as forming efficient algorithms, heuristics, and performing root cause analysis to find desirable solutions. The basic crux of artificial intelligence is to solve problems just like humans.

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Reducing methane to slow climate change

FlowingData

We often hear about increased CO 2 in the context of global warming. Hayley Warren and Akshat Rathi for Bloomberg show why we should talk more about methane : In the fight against global warming, methane has flown under the radar for too long. But there’s increasing recognition that tackling the invisible, odorless gas is one of the easiest, cheapest, and most feasible ways to make a real difference in slowing climate change.

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5 Tips to Stay Competitive as AI Technology Evolves

Smart Data Collective

The market for AI technology is growing remarkably. Businesses around the world spent over $60 billion on artificial intelligence last year alone and the demand is expected to continue to rise. Businesses spend a lot of time and resources on marketing to stand out from their competition. While marketing remains relevant and essential, AI technology provides endless opportunities that create a massive edge between you and your competitors.

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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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AI Is Booming with Image Recognition, but Audio Recognition Lags Behind

Dataversity

Click to learn more about author Rachel Roumeliotis. Artificial Intelligence (AI) has made considerable inroads in the enterprise. Image recognition technology, in particular, has been gaining steam, helping users achieve tasks from assisting in screening and diagnosis of disease through medical imaging, to enabling self-driving cars to accurately interpret their surroundings.

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A brief explanation of Python Decorators

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Decorators are simply callables for decorating a function. It helps add new functionalities to a function without changing its original structure. In this article, we are going to learn the hows, whats, and whys of decorators. But before delving into Decorators we must […].

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How the 3-point line changed basketball

FlowingData

Vox shows how the 3-point line is “breaking” the game. The basic math says a 3-point shot is more efficient for scoring points than a 2-point shot if the team can make a high enough percentage of attempts. It’s why the mid-range shot has fallen out of favor. But it’s more an evolution than a breaking. Defense adapts, and then offense adjusts to that, etc.

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Why Investing in Data Is Crucial for Business Growth In 2022

Smart Data Collective

There’s no denying that data is everywhere in life. The rate at which information is being collected is growing exponentially, with approximately 2.5 quintillion bytes (that’s 2,5000, 000, 000, 000, 000, 000!) of data being produced every day. As technology continues to advance data generation across the world, it’s safe to say that investing in data solutions will be crucial to seeing business growth and success in 2022 and beyond.

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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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Mapping technology gap data to address and eliminate the digital divide

Tableau

Channing Nesbitt. Co-lead of Tableau Foundation’s Racial Justice Data Initiative. Kristin Adderson. October 14, 2021 - 11:00pm. October 15, 2021. In the work to close the digital divide in the U.S., Digitunity’s Technology Gap Map TM has become a powerful visualization of the racial, socioeconomic, and geographic disparities impacting device ownership and driving inequitable access to opportunity.

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Introduction to Exciting AutoML services of AWS

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Table of Contents — What is Automated Machine Learning? — Machine Learning Pipeline — Why Automation in Machine Learning — Autopilot — Six steps- Raw data to deployment — Parameters for Autopilot — Automated Machine Learning with Comprehend — Benefits & Working of Comprehend […].

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Scientists with bad data

FlowingData

Tim Harford warns against bad data in science : Some frauds seem comical. In the 1970s, a researcher named William Summerlin claimed to have found a way to prevent skin grafts from being rejected by the recipient. He demonstrated his results by showing a white mouse with a dark patch of fur, apparently a graft from a black mouse. It transpired that the dark patch had been coloured with a felt-tip pen.

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What is the Best AI-Driven App for Video Conferencing?

Smart Data Collective

Artificial intelligence is helping facilitate many aspects of business. Many companies have been forced to lean more heavily on AI technology than ever during the pandemic, because they had to find new ways to encourage social distancing. Even as the pandemic starts to wind down, many companies are still relying more heavily on AI technology to adapt to a new age that is dependent on digital strategies.

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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!