Sat.Sep 10, 2022 - Fri.Sep 16, 2022

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5 Concepts You Should Know About Gradient Descent and Cost Function

KDnuggets

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.

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Blockchain Technology and its Types

Analytics Vidhya

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 […].

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Serena Williams beat every Grand Slam champion

FlowingData

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.

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Benefits of High-Resolution Lidar Data for Data-Driven Companies

Smart Data Collective

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.

Big Data 141
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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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5 Data Science Skills That Pay & 5 That Don’t

KDnuggets

This article will go over the top 5 data science skills that pay you and 5 that don’t.

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Hindi Character Recognition on Android using TensorFlow Lite

Analytics Vidhya

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 […].

More Trending

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AI Technology and Creativity Are Intertwined in Marketing

Smart Data Collective

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.

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Top Open Source Large Language Models

KDnuggets

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.

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Upcoming DataHour Sessions: Book your Calendars!

Analytics Vidhya

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 […].

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Open cameras and AI to locate Instagram photos

FlowingData

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.

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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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Leading Trends of Fintech Development Services in 2022

Smart Data Collective

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.

Big Data 130
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Free SQL and Database Course

KDnuggets

Get up to speed on SQL and relational databases with this free video course.

SQL 364
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Understanding Word Embeddings and Building your First RNN Model

Analytics Vidhya

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.

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Map of mega warehouses in the United States

FlowingData

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.

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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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How to Decide Whether a SaaS Tool is Worth Purchasing?

Smart Data Collective

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.

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Removing Outliers Using Standard Deviation in Python

KDnuggets

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.

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How to Use Data to Drive Your Marketing Strategy

Analytics Vidhya

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 […].

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? Munging Around

FlowingData

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.

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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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Big Data Helps Drive the Future of Virtual Healthcare

Smart Data Collective

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.

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How Data Science Fuels Fraud Prevention

KDnuggets

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.

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How to Deploy a Machine learning model on AWS EC2

Analytics Vidhya

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 […].

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Estimating the condition of the economy

FlowingData

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.

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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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Best AI Tools for High-Frequency Algorithmic Trading

Smart Data Collective

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.

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Top 5 Bookmarks Every Data Analyst Should Have

KDnuggets

Check out these online tools to save you time & effort.

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Implementing Count Vectorizer and TF-IDF in NLP using PySpark

Analytics Vidhya

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.

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Untraced orphans in Ukraine since the war

FlowingData

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.

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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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Machine Learning Leads to Huge Breakthroughs in Trading

Smart Data Collective

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.

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ModelOps: What you need to know to get certified

KDnuggets

Find out why ModelOps is in-demand and how SAS can help you propel in this growing area. .

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Data Warehouses: Basic Concepts for data enthusiasts

Analytics Vidhya

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 […].

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Who are the Tableau Social Ambassadors?

Tableau

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.

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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!