KDnuggets

AUGUST 29, 2022

This article will map out the things you need to do to become a data scientist.

Data Science 400

Data Science Data Scientist 400

Analytics Vidhya

AUGUST 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction Natural language processing (NLP) is the branch of computer science and, more specifically, the domain of artificial intelligence (AI) that focuses on providing computers the ability to understand written and spoken language in a way similar to that of humans. Combining computational linguistics […].

Natural Language Processing 400

Natural Language Processing Computer Science Computer Science Artificial Intelligence 400

Dataconomy

AUGUST 8, 2022

What are the best masters in artificial intelligence online? The AI degree is a relatively new academic pursuit as a subfield of machine learning. Several artificial intelligence applications can be implemented using the advanced programming skills that students will master with this degree. Engineering and other topics are frequently covered.

Artificial Intelligence 254

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 254

Hacker News

AUGUST 22, 2022

At that price, there would be demand for about 90 GW of emerging small reactors in the U.S. by 2050, according to a recent Nuclear Energy Institute survey.

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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.

Analytics

Smart Data Collective

AUGUST 30, 2022

Analytics technology is very important for modern business. Companies spent over $240 billion on big data analytics last year. That figure is expected to grow as more businesses discover its benefits. There are many important applications of data analytics technology. One of the most important is with helping companies set their prices correctly. Analytics Can Be Essential for Helping Companies with their Pricing Strategies.

Analytics 145

Analytics Analytics Data Mining Data Mining 145

FlowingData

AUGUST 26, 2022

Researchers Xiaofan Liang and Clio Andris estimated the percentage of restaurants that are chains and independent to identify “McCities” : These high chainness McCities are prevalent in the Midwestern and the Southeastern United States. Independent restaurants were associated with dense pedestrian-friendly environments, highly educated populations, wealthy populations, racially diverse neighborhoods, and tourist areas.

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144

Analytics Vidhya

AUGUST 18, 2022

This article was published as a part of the Data Science Blogathon. Introduction More often than not, developers run into issues of an application running on one machine versus not running on another. Dockers help prevent this by ensuring the application runs on any machine if it works on yours. Simply put, if your job as […]. The post Building a simple Flask App using Docker vs Code appeared first on Analytics Vidhya.

Data Science 400

Data Science Analytics Analytics Data Warehouse 400

Dataconomy

AUGUST 5, 2022

The much-awaited comparison is finally here: machine learning vs data science. The terms “data science” and “machine learning” are among the most popular terms in the industry in the twenty-first century. These two methods are being used by everyone, from first-year computer science students to large organizations like Netflix and.

Machine Learning 253

Machine Learning Machine Learning Data Scientist Data Science 253

O'Reilly Media

AUGUST 4, 2022

Humans are notoriously poor at judging distances. There’s a tendency to underestimate, whether it’s the distance along a straight road with a clear run to the horizon or the distance across a valley. When ascending toward a summit, estimation is further confounded by false summits. What you thought was your goal and end point turns out to be a lower peak or simply a contour that, from lower down, looked like a peak.

Machine Learning 137

Machine Learning Machine Learning ML ML 137

Smart Data Collective

AUGUST 25, 2022

The Internet of Things (IoT) has been on the rise in recent years, and it’s becoming more and more common among consumers, businesses, and governments alike. IoT refers to any connected physical device that can send or receive data over the internet, including smartphones, computers, speakers, security cameras, thermostats, door locks, vehicles—the list goes on and on.

Internet of Things 145

Internet of Things 145

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.

AI

FlowingData

AUGUST 10, 2022

Using a combination of satellite imagery, crowdsourced databases, and analyses, The New York Times identified airstrips used for illegal mining in Brazil : To confirm these locations and connect them with illicit mining, Times reporters built a tool to help analyze thousands of satellite images. They examined historical satellite imagery to determine that 1,269 unregistered airstrips still appeared in active use within the past year.

Database 144

Database 144

KDnuggets

AUGUST 24, 2022

This blog post introduces seven techniques that are commonly applied in domains like intrusion detection or real-time bidding, because the datasets are often extremely imbalanced.

Machine Learning 400

Machine Learning Machine Learning 400

Analytics Vidhya

AUGUST 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction Requests in Python is a module that can be used to send all kinds of HTTP requests. It is straightforward to use and is a human-friendly HTTP Library. Using the requests library; we do not need to manually add the query string […]. The post Introduction to Requests Library in Python appeared first on Analytics Vidhya.

Python 400

Python Data Science Analytics Analytics 400

Dataconomy

AUGUST 4, 2022

To achieve business results, all businesses must establish a data governance framework that ensures that data is treated similarly across the organization. Without effective data governance, tracking when and from where erroneous data enters your systems and who is utilizing it is impossible.

Data Governance 247

Data Governance Big Data Big Data Data Science 247

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

AI

Hacker News

AUGUST 11, 2022

Perhaps the most far-reaching technological achievement over the last 50 years has been the steady march toward ever smaller transistors , fitting them more tightly together, and reducing their power consumption. And yet, ever since the two of us started our careers at Intel more than 20 years ago, we’ve been hearing the alarms that the descent into the infinitesimal was about to end.

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Smart Data Collective

AUGUST 2, 2022

Artificial intelligence technology is changing the future of many industries. Global companies spent over $328 billion on AI last year. This figure is expected to grow as more companies recognize the potential and decide to increase the resources they dedicate to machine learning and predictive analytics tools. The automotive industry is among those investing in AI the most.

AI 141

AI AI Machine Learning Machine Learning 141

FlowingData

AUGUST 1, 2022

This European travel map by Benjamin Td shows how far you can travel in five hours, given a station location. Just hover over the map, and you see the areas, or isochrones that are reachable in five hours, assuming 20 minutes for interchanges. The project is based on data from Deutsch Bahn, and was inspired by a more dotty map by Julius Tens. It reminds me of Tom Carden’s (now Flash-retired) travel time map from 2008.

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144

KDnuggets

AUGUST 19, 2022

Explaining the approach to solving a few complex SQL queries.

SQL 400

SQL 400

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.

AI

Analytics Vidhya

AUGUST 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction Kats model-which is also developed by Facebook Research Team-supports the functionality of multi-variate time-series forecasting in addition to univariate time-series forecasting. Often we need to forecast a time series where we have input variables in addition to ‘time’; this is where the […].

Data Science 400

Data Science Analytics Analytics Python 400

Dataconomy

AUGUST 25, 2022

What is the role of artificial intelligence in manufacturing? Well, there are a lot of use cases for artificial intelligence in everyday life, but what about AI in manufacturing? The effects of artificial intelligence in business heavily include manufacturing. Are you scared of AI jargon? We have already created a detailed AI glossary for the.

Artificial Intelligence 231

Artificial Intelligence Artificial Intelligence AI AI 231

KDnuggets

AUGUST 15, 2022

ETL during the process of producing effective machine learning algorithms is found at the base - the foundation. Let’s go through the steps on how ETL is important to machine learning.

ETL 400

ETL Machine Learning Machine Learning Algorithm 400

KDnuggets

AUGUST 12, 2022

Increasing accuracy in your models is often obtained through the first steps of data transformations. This guide explains the difference between the key feature scaling methods of standardization and normalization, and demonstrates when and how to apply each approach.

Machine Learning 400

Machine Learning Machine Learning 400

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?

KDnuggets

AUGUST 11, 2022

Let’s have a look at some of the key tech trends on the horizon right now.

Data Science 400

Data Science Analytics Analytics 400

KDnuggets

AUGUST 12, 2022

Do you feel overwhelmed by the sheer number of ideas that you could try while building a machine learning pipeline? You can not take the liberty of trying all possible ways to arrive at a solution - hence we discuss the importance of experiment design in data science projects.

Data Science 400

Data Science Machine Learning Machine Learning 400

KDnuggets

AUGUST 8, 2022

Microsoft has put together an AI course for beginners, consisting of a 12 week, 24 lesson curriculum, available for free to all.

AI 400

AI AI Artificial Intelligence Artificial Intelligence 400

KDnuggets

AUGUST 4, 2022

Check out this guide to implementing different types of encoding for categorical data, including a cheat sheet on when to use what type.

Machine Learning 400

Machine Learning Machine Learning 400

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KDnuggets

AUGUST 18, 2022

If you’re considering a career in data science, it’s important to understand how these two fields differ, and which one might be more appropriate for someone with your skills and interests.

Data Scientist 399

Data Scientist Data Engineer Data Engineering Data Engineering 399

KDnuggets

AUGUST 4, 2022

Artificial Intelligence (AI) is the process of programming a computer that can reason and learn like a human being and make decisions for itself.

Artificial Intelligence 400

Artificial Intelligence Artificial Intelligence AI AI 400

Analytics Vidhya

AUGUST 6, 2022

Introduction Image processing is a widely used concept to exploit the information from the images. Image processing algorithms take a long time to process the data because of the large images and the amount of information available in it. So, in these edge-cutting techniques, it is necessary to reduce the amount of information that the […]. The post Comprehensive Guide to Edge Detection Algorithms appeared first on Analytics Vidhya.

Algorithm 399

Algorithm Analytics Analytics Deep Learning 399

Analytics Vidhya

AUGUST 9, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Minerva [link] Google presented Minerva; a neural network created in-house that can break calculation questions and take on other delicate areas like quantitative reasoning. The model for natural language processing is called Minerva. Recently, experimenters have developed a very sophisticated natural language […].

Natural Language Processing 399

Natural Language Processing Data Science Analytics Analytics 399

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!