Analytics Vidhya
OCTOBER 12, 2021
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 […].
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.
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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.
FlowingData
OCTOBER 15, 2021
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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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
Analytics Vidhya
OCTOBER 9, 2021
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.
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.”
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
FlowingData
OCTOBER 14, 2021
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.
Analytics Vidhya
OCTOBER 11, 2021
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.
Tableau
OCTOBER 14, 2021
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.
Smart Data Collective
OCTOBER 13, 2021
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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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
FlowingData
OCTOBER 13, 2021
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
Analytics Vidhya
OCTOBER 15, 2021
This article was published as a part of the Data Science Blogathon What is Model Monitoring and why is it required? Machine learning creates static models from historical data. But, once deployed in production, ML models become unreliable and obsolete and degrade with time. There might be changes in the data distribution in production, thus causing […].
Tableau
OCTOBER 10, 2021
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
Smart Data Collective
OCTOBER 15, 2021
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.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
FlowingData
OCTOBER 12, 2021
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.
Analytics Vidhya
OCTOBER 10, 2021
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 […].
Tableau
OCTOBER 14, 2021
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.
Smart Data Collective
OCTOBER 13, 2021
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.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
FlowingData
OCTOBER 11, 2021
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.
Analytics Vidhya
OCTOBER 13, 2021
This article was published as a part of the Data Science Blogathon Introduction to Stock Market Prediction Stock market prediction and analysis are some of the most difficult jobs to complete. There are numerous causes for this, including market volatility and a variety of other dependent and independent variables that influence the value of a certain […].
Dataversity
OCTOBER 15, 2021
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.
Smart Data Collective
OCTOBER 13, 2021
In the wake of the COVID pandemic, cybercrime is skyrocketing to unprecedented levels and daily ransomware attacks increased by 50% in 2020. The cause of this rise is largely due to the massive increase in American employees working from home. Where employees used to be under the umbrella of their organization’s security networks and using their business’ secured devices, today the majority of employees are remote.
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
FlowingData
OCTOBER 11, 2021
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.
Analytics Vidhya
OCTOBER 15, 2021
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.
Tableau
OCTOBER 14, 2021
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.
Smart Data Collective
OCTOBER 13, 2021
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.
Speaker: Nikhil Joshi, Founder & President of Snic Solutions
Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.
FlowingData
OCTOBER 14, 2021
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.
Analytics Vidhya
OCTOBER 9, 2021
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!
Tableau
OCTOBER 14, 2021
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.
Smart Data Collective
OCTOBER 13, 2021
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.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
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