This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Why is Gradient Descent so important in Machine Learning? Learn more about this iterative optimization algorithm and how it is used to minimize a loss function.
This article was published as a part of the Data Science Blogathon. Introduction Blockchain technology is a decentralized, distributed ledger that keeps a record of ownership of digital assets. Any data stored on the blockchain cannot be modified, making the technology a legitimate disruptor for payments, cybersecurity, and healthcare industries. Blockchain is a system of registering […].
Serena Wiliams’ tennis career is impressive for its success and longevity, which are easily seen here. The Athletic compiled a list of the Grand Slam champions that Williams beat between 1991 and 2019, which happens to be everyone. Sometimes the simplest presentation is best. In this example, the angle they looked at the data makes the graphic.
A growing number of organizations are resorting to the use of big data. They have found that big data technology offers a number of benefits. Companies that leverage it effectively increase their profitability by 60%. However, utilizing big data is more difficult than it might seem. Companies must be aware of the different ways that data can be collected, aggregated and applied.
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
This article was published as a part of the Data Science Blogathon. Introduction If you ever wanted to build an image classifier for text recognition, I’m assuming you probably must have implemented the classic Handwritten Digit Recognition application from TensorFlow’s official examples. Often referred to as the ‘Hello World’ of Computer Vision, it’s a great starting […].
Changing the fonts you use for labels and annotation is one of the easiest ways to make charts more readable and less messy, which makes a chart more inviting to examine. For Datawrapper, Lisa Charlotte Muth discusses font choices and what to look for. Can’t go wrong with another one of Muth’s clear and practical guides. Tags: Datawrapper , Lisa Charlotte Muth.
122
122
Sign up to get articles personalized to your interests!
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Changing the fonts you use for labels and annotation is one of the easiest ways to make charts more readable and less messy, which makes a chart more inviting to examine. For Datawrapper, Lisa Charlotte Muth discusses font choices and what to look for. Can’t go wrong with another one of Muth’s clear and practical guides. Tags: Datawrapper , Lisa Charlotte Muth.
Big data technology has helped many companies improve efficiency and address some of the top challenges they have encountered in recent years. A growing number of businesses have invested in AI to improve their business models. As a result, the market for AI technology is projected to be worth over $420 billion by 2028. Surveys have shown that 90% of the top businesses use AI , even though only 37% of companies use it at all.
In this article, we will discuss the importance of large language models and suggest some of the top open source models and the NLP tasks they can be used for.
Introduction Data science is a practical subject that the experts can best explain in the field. To provide our community with a better understanding of how different elements of the subject are used in different domains, Analytics Vidhya has launched our DataHour sessions. These sessions will enhance your domain knowledge and help you learn new […].
Dries Depoorter recorded video from open cameras for a week and scraped Instagram photos. Then he used AI to identify the people in the photos and their locations. Depoorter calls it The Follower. Tags: AI , Dries Depoorter , Instagram , privacy , surveillance.
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?
The fintech sector is growing at a shocking rate. The market was worth over $112 billion last year. By 2028, it should be worth over $332 billion. Some entrepreneurs might think this is the best time ever to invest in fintech. While the market is growing and creating more opportunities for fintech entrepreneurs, the stakes are also higher than ever.
This article was published as a part of the Data Science Blogathon. Introduction Deep learning is one of the hottest fields in the past decade, with applications in industry and research. However, even though it’s easy to delve into the topic, many people are confused by the terminology and end up only implementing neural network […]. The post Understanding Word Embeddings and Building your First RNN Model appeared first on Analytics Vidhya.
With the growth in online shopping over the years, companies required more space to store their products, which gave rise to mega warehouses (more than 100k square feet) across the country. Judith Lewis Mernit and Geoff McGhee describe and show the growth with a map. Tags: shopping , Sierra , warehouses.
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!
In today’s more competitive, technology-driven corporate environment, all firms seeking to increase activity and productivity are reaping the benefits of the software world. The software industry is quite diverse, with solutions that may fulfill practically any potential business requirement, whether it be increased cloud computing capabilities, artificial intelligence-based automation tools, or merchant processing choices.
Standard Deviation is one of the most underrated statistical tools out there. It’s an extremely useful metric that most people know how to calculate but very few know how to use effectively.
This article was published as a part of the Data Science Blogathon. Introduction In the era of big data, it’s no surprise that more and more marketers are using data science in marketing to better position their brands, products, and services in today’s hyper-competitive marketplace. Source: [link] Four points that you need to take into your […].
Welcome to issue #206 of The Process , the newsletter for FlowingData members that looks closer at how the charts get made. I’m Nathan Yau, fully boosted and ready to go. This week I finished the data munging section of the upcoming Visualization in R course, and lately I’ve been munging much more than visualizing. It’s not the most glorious of tasks, but it is necessary.
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.
Big data technology is shaping the future of healthcare. Global healthcare companies are projected to spend over $105 billion on big data by 2030. One of the biggest benefits of big data in healthcare has been in the field of virtual healthcare. Demand for virtual healthcare services exploded during the pandemic. Big data technology is helping make this new field even more promising.
By themselves, these data points will probably not provide much insight into a single customer. However, a company that has some or all of this information is well-positioned to have a strong idea of how legitimate its visitors are.
This article was published as a part of the Data Science Blogathon. Introduction AWS is a cloud computing service that provides on-demand computing resources for storage, networking, Machine learning, etc on a pay-as-you-go pricing model. AWS is a premier cloud computing platform around the globe, and most organization uses AWS for global networking and data […].
Measuring the condition of the economy is tricky, because there are many parts to the economy. You can’t just say it’s good or bad. So Ben Casselman and Lauren Leatherby, for The New York Times, broke it down with a series of charts to view from different angles. Tags: economy , New York Times.
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?
Artificial intelligence is changing the financial industry in extraordinary ways. DataMotion projects that the fintech sector will spend over $26 billion on AI by 2026. There are many great applications of AI in the financial sector. One of the best is the promise of taking advantage of high-frequency trading. There are a lot of great AI tools that help traders engage in high-frequency trading.
This article was published as a part of the Data Science Blogathon. Introduction Natural language processing is one of the most widely used skills at the enterprise level as it can deal with non-numeric data. As we know machines communicate in either 0 or 1. Still, we as humans communicate in our native languages (English as a […]. The post Implementing Count Vectorizer and TF-IDF in NLP using PySpark appeared first on Analytics Vidhya.
Sarah Slobin and Joanna Plucinska, for Reuters, report on the challenges of counting and tracking thousands of orphans in Ukraine who were evacuated and relocated when Russia invaded: When Russia invaded on Feb. 24, there were more than 105,000 children in Ukraine’s network of more than 700 institutions – known as orphanages or ‘internats’ – either full-time or part-time.
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.
Machine learning technology has been the basis for some of the biggest changes taking place in the financial sector. The securities markets are some of the biggest examples. A growing number of people are using machine learning to perfect their stock trading strategies. Machine learning technology helps them forecast changes in asset prices based on various factors that have been proven to be correlated with financial market activity.
This article was published as a part of the Data Science Blogathon. Introduction The purpose of a data warehouse is to combine multiple sources to generate different insights that help companies make better decisions and forecasting. It consists of historical and commutative data from single or multiple sources. Most data scientists, big data analysts, and business […].
Bronwen Boyd. Social Media and Blog Specialist, Tableau. Britt Staniar. Senior Community Program Manager, Recognition Programs . Alyssa Jenson. September 14, 2022 - 11:23pm. September 29, 2022. Tableau Ambassadors teach and share while fostering a positive and supportive space within the data community. They give credit where credit is due, and prioritize inclusivity in everything they do.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
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.
We organize all of the trending information in your field so you don't have to. Join 17,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content