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.

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Python Data Science Analytics Analytics 397

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.

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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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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

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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Smart Data Collective

AUGUST 30, 2022

The market for cloud technology is booming. Companies spent over $405 billion on cloud services last year. The sudden growth is not surprising, because the benefits of the cloud are incredible. Enterprise cloud technology applications are the future industry standard for corporations. Cloud computing has found its way into many business scenarios and is a relatively new concept for businesses.

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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 393

Data Science Analytics Analytics Data Warehouse 393

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.

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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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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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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?

Business Intelligence

Smart Data Collective

AUGUST 4, 2022

A growing number of businesses are relying on big data technology to improve productivity and address some of their most pressing challenges. Global companies are projected to spend over $297 billion on big data by 2030. Data technology has proven to be remarkably helpful for many businesses. However, companies also encounter a number of challenges as they try to leverage the benefits of big data.

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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

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Analytics Vidhya

AUGUST 6, 2022

This article was published as a part of the Data Science Blogathon. Introduction 2.5 quintillion bytes of data are produced every day! Consider how much we can deduce from that and what conclusions we can draw. Wait! But, how do we deal with such a massive amount of data? Not to worry; the Pandas library […]. The post The Ultimate Guide To Pandas For Data Science!

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Data Science Analytics Analytics Python 390

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.

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Data Governance Big Data Big Data Data Science 247

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.

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.

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Machine Learning Machine Learning ML ML 107

FlowingData

AUGUST 26, 2022

Introduction to Probability for Data Science is a free-to-download book by Purdue statistics professor Stanley H. Chan: We need a book that balances the theory and practice. We need a book that provides insights and not just theorems and proofs. We need a book that motivates the students, telling them why probability is so essential to their work. We need a book that highlights the impacts of the subject.

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Data Science 139

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.

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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

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.

Business Intelligence

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 388

Data Science Analytics Analytics Python 388

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.

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Artificial Intelligence Artificial Intelligence AI AI 231

O'Reilly Media

AUGUST 9, 2022

In a previous article , I wrote about how models like DALL-E and Imagen disassociate ideas from technique. In the past, if you had a good idea in any field, you could only realize that idea if you had the craftsmanship and technique to back it up. With DALL-E, that’s no longer true. You can say, “Make me a picture of a lion attacking a horse,” and it will happily generate one.

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FlowingData

AUGUST 15, 2022

As part of a teaching initiative by Amazon, MLU-Explain is a series of interactive explainers on core machine learning concepts. Learn about training sets, decision trees, random forests, and more. Seems like a good way to spend a Friday night if you ask me. Tags: Amazon , machine learning.

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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.

Smart Data Collective

AUGUST 4, 2022

Data analytics technology has changed many aspects of the modern workplace. A growing number of companies are using data to make more informed hiring decisions , track payroll issues and resolve internal problems. One of the most important benefits of data analytics is that it can help companies monitor employee performance and provide more accurate feedback.

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Analytics Analytics Data Visualization Big Data 132

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 399

Machine Learning Machine Learning 399

Analytics Vidhya

AUGUST 5, 2022

This article was published as a part of the Data Science Blogathon. Introduction The way big business tycoons run has changed a lot since the past. The concept of “Cloud Computing” has played a major role in this. This implementation of cloud computing technology has led to the need for Cloud Computing Experts. The software team […].

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Dataconomy

AUGUST 8, 2022

PaddlePaddle has recently received new updates from Baidu, along with 10 large deep learning models covering computational biology, vision, and natural language processing. Despite the growing popularity of more recent innovations, TensorFlow, PyTorch, and Keras remain the three deep-learning frameworks that have long dominated AI. The most widely used Chinese.

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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.

AI

DataRobot Blog

AUGUST 3, 2022

How can you save time in understanding the impact of language when working with text in ML models ? With tens of thousands of Text AI projects, DataRobot has helped organizations unlock insights from text and generate predictions with text models—from assisting with customer support ticket triage to predicting real estate sale prices. Continuing to build on previously released Text AI capabilities, DataRobot AI Cloud introduces new features to help with language detection, blueprint optimization

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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.

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Database 135

Smart Data Collective

AUGUST 11, 2022

Artificial Intelligence (AI) has significantly altered how work is done. However, AI even has a bigger impact by enhancing human capabilities. Research conducted by the Harvard Business Review found that the interaction between machines and humans significantly improves firms’ performance. Successful collaboration between humans and machines enhances each other’s strengths, including teamwork, leadership, creativity, speed, scalability, and quantitative capabilities.

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KDnuggets

AUGUST 31, 2022

When building a predictive model, the quality of the results depends on the data you use. In order to do so, you need to understand the difference between training and testing data in machine learning.

Machine Learning 379

Machine Learning Machine Learning 379

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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.