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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Be the Best – 9 Ways to Market Your Business with Big Data

Smart Data Collective

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.

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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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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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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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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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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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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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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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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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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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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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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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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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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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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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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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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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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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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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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Transparent Machine Learning: Key Steps and Tips for Getting Started

Dataversity

Click to learn more about author Deepak Dube. While machine learning is an involved science with complex models, what distinguishes transparent machine learning is that it explains itself – how it works, its predictions, its insights – so that the user understands and trusts the outcome. In this article, I explain what transparent machine learning […].

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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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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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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 Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Are VPNs Safe? It’s Complicated

Dataversity

October is Cybersecurity Awareness Month! All month long, we’ll be exploring cybersecurity-related topics to help you (and your data) stay safe online. Click to learn more about author Francis Dinha. Like clockwork, it seems as though every time you check the news you see a story about a major hack of an organization’s VPN. Colonial […]. The post Are VPNs Safe?

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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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Shift governance and data management to enable, not restrict, your organization

Tableau

Loreal Lynch. Vice President, Product, Tableau. Spencer Czapiewski. October 14, 2021 - 9:36pm. November 8, 2021. Did you know 80% of data-driven businesses said they gained a critical advantage during the pandemic? Having complete, accurate data in all employees’ hands and workstreams helps organizations solve business problems with the customer journey in mind—especially in rapidly changing markets.

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How to Get Started as a Data Engineer

Smart Data Collective

If you enjoy working with data, or if you’re just interested in a career with a lot of potential upward trajectory, you might consider a career as a data engineer. But what exactly does a data engineer do, and how can you begin your career in this niche? What Is a Data Engineer? A data engineer’s job is to take data and transform it in a way that makes it easier or more useful to analyze.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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Data Lakes for Non-Techies

Dataversity

Click to learn more about author Joan Fabregat-Serra. IT has weaponized jargon since the very beginning of IT itself. Jargon was a key element to create vendor lock-in situations during the ’90s and early 2000s. Moreover, complex usability helped in developing a network of certified (aka expensive and lucrative) consultancy workforce. IT has recently experienced […].

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Deep Learning based Malaria Detection Model for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview Malaria is a significant burden on our healthcare system and it is the major cause of death in many developing countries. It is endemic in some parts of the world which means that the disease is regularly found in the region. Therefore, early […]. The post Deep Learning based Malaria Detection Model for Beginners appeared first on Analytics Vidhya.

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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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Data-Driven Pitch Deck Examples for Inspiring the Next Big Screenwriter

Smart Data Collective

Big data has been very important in the creative and entertainment sectors. Many artists are using big data to improve the quality of their work. Screenwriters are no exception. We mentioned in the past that big data has been very valuable for Hollywood. Professionals throughout the industry are looking for ways to integrate big data into their jobs.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.