Sat.Jan 22, 2022 - Fri.Jan 28, 2022

article thumbnail

The Best Python Courses: An Analysis Summary

KDnuggets

What does the data reveal if we ask: "What are the 10 Best Python Courses?". Collecting almost all of the courses from top platforms shows there are plenty to choose from, with over 3000 offerings. This article summarizes my analysis and presents the top three courses.

Python 399
article thumbnail

A Basic Guide To Kubernetes in Production

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Modern applications are popularly made using container orchestration systems and microservice architecture. In 2014, the first echoes of the word Kubernetes in tech were heard, and the conquest of Kubernetes is due in no small amount to its flexibility and authority. Back […].

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

The Evolution of Foot Traffic Data Collection Methods

Dataconomy

Foot traffic is one of the most helpful types of data for brick-and-mortar businesses to collect. Tracking how many people enter, where they go and when they leave helps understand customer behavior, assess performance, and optimize store layouts. Businesses today have a wide array of technologies to choose from to.

article thumbnail

Chicken egg color spectrum

FlowingData

Eggs aren’t always white, which is oddly calming in this photo. (I couldn’t figure out where this picture was originally from. Anyone?). Tags: color , egg , physical.

145
145
article thumbnail

Optimizing The Modern Developer Experience with Coder

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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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

article thumbnail

3 Reasons Why Data Scientists Should Use LightGBM

KDnuggets

There are many great boosting Python libraries for data scientists to reap the benefits of. In this article, the author discusses LightGBM benefits and how they are specific to your data science job.

article thumbnail

Underrated Apriori Algorithm Based Unsupervised Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Hello there, learners. I hope everyone is doing well. This pandemic provides us with more opportunities to learn new topics through the work-from-home concept, allowing us to devote more time to doing so. This prompted me to consider some mundane but intriguing topics. […].

More Trending

article thumbnail

How Much Americans Make

FlowingData

In the United States, the median annual income among the employed was about $43,000 in 2020. However, by definition, this just tells you where the midpoint is in a distribution. As you probably know, maybe a little too well over the past few years, personal income spans a wide range. Here’s a more detailed view of how much Americans make per year.

145
145
article thumbnail

How to Set Up Your Data Science Stack on a Budget

KDnuggets

Whether you’re working independently or setting up a stack for a company, you need an affordable stack option. Here’s how you can set up your stack without spending too much.

article thumbnail

Deploying ML Models Using Kubernetes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A Machine Learning solution to an unambiguously defined business problem is developed by a Data Scientist ot ML Engineer. The Model development process undergoes multiple iterations and finally, a model which has acceptable performance metrics on test data is taken to the production […].

ML 315
article thumbnail

12 Jobs That Are Booming in the Age of Big Data

Smart Data Collective

Did you know that big data consumption increased 5,000% between 2010 and 2020 ? This should come as no surprise. It is going to continue to change the workforce in the process. Big data technology is changing countless aspects of our lives. A growing number of careers are predicated on the use of data analytics, AI and similar technologies. It is important to be aware of the changes brought on by developments in big data.

Big Data 131
article thumbnail

15 Modern Use Cases for Enterprise Business Intelligence

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?

article thumbnail

Scale of the Tonga eruption

FlowingData

Manas Sharma and Simon Scarr used satellite imagery to show the scale of the Tonga eruption , which spurted a 24-mile cloud that grew to 400 miles in diameter in an hour. Notice the little Manhattan in the bottom left corner in the image above. However, instead of leaving it at that, Sharma and Scarr animated the eruption over familiar geographic areas to better see how big it was.

125
125
article thumbnail

Getting Started Cleaning Data

KDnuggets

In order to achieve quality data, there is a process that needs to happen. That process is data cleaning. Learn more about the various stages of this process.

article thumbnail

A Detailed Guide for Data Handling Techniques in Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image Source: Author Introduction Data Engineers and Data Scientists need data for their Day-to-Day job. Of course, It could be for Data Analytics, Data Prediction, Data Mining, Building Machine Learning Models Etc., All these are taken care of by the respective team members and […].

article thumbnail

Artificial Intelligence Is Influencing Everyday Lives for the Better

Smart Data Collective

Artificial intelligence is having a larger impact on our lives than you may think. Although only 38% of businesses use AI in some form , 90% of the most successful companies utilize some form of AI. You may be wondering how significant AI really is. To some, AI may seem like any other over-hyped buzzword that has never truly manifested in the day-to-day human life.

article thumbnail

Marketing Operations in 2025: A New Framework for Success

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.

article thumbnail

Addressing the importance of data and visualization skills in health and healthcare fields

Tableau

Sue Kraemer. Senior Data Skills Curriculum Strategy Manager, Tableau. Bronwen Boyd. January 26, 2022 - 6:31pm. January 27, 2022. According to the National Institutes of Health (NIH), “Data visualization is becoming an increasingly common method of presenting large and complex data sets, but the principles of visual communication are not widely understood or practiced.

Tableau 101
article thumbnail

R vs Python (Again): A Human Factor Perspective

KDnuggets

This post is tentative to explain by "human factor" - a typical Python vs. R user, the widespread opinion that Python is better suited than R for developing production-quality code.

Python 276
article thumbnail

Introductory note on Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Deep Learning Artificial Intelligence, deep learning, machine learning?—?whatever you’re doing if you don’t understand it?—?learn it. Because otherwise you’re going to be a dinosaur within 3 years. -Mark Cuban This statement from Mark Cuban might sound drastic – but its message is […].

article thumbnail

Worst Data Security Threats Remote Workers Can’t Ignore

Smart Data Collective

Data security is becoming a greater concern for companies all over the world. The pandemic has contributed to these issues. A number of hackers started targeting companies for data breaches during the pandemic, partly because so many employees were working remotely. The frequency of data breaches is not likely to subside anytime soon. Many companies are making work-from-home models permanent, which means data threats are going to be as common as ever.

Big Data 115
article thumbnail

Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

article thumbnail

Visualizing the DC Police budget

Tableau

Channing Nesbitt. Co-lead of Tableau Foundation’s Racial Justice Data Initiative. Kristin Adderson. January 28, 2022 - 3:58pm. January 28, 2022. A data tool for budget accountability and transparency. In 2020, the DC Fiscal Policy Institute (DCFPI) partnered with the Urban Institute’s Justice Policy Center (Urban) to create an online tool to demystify the local police budget in DC, one of the most heavily-policed jurisdictions in America.

article thumbnail

KDnuggetsâ„¢ News 22:n04, Jan 26: The High Paying Side Hustles for Data Scientists; Top Programming Languages and Their Uses

KDnuggets

The High Paying Side Hustles for Data Scientists; Top Programming Languages and Their Uses; Artificial Intelligence Project Ideas for 2022; The Best Python Courses: An Analysis Summary; Top Stories, Jan 17-23: The High Paying Side Hustles for Data Scientists.

article thumbnail

A Comprehensive Guide on Neo4j

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Today, most organizations invest more than ever in their resources to finely leverage graph analytics to extract valuable insights from massive, complex volumes of data. For those who don’t know, Neo4j is one of the most popular graph databases that gives developers and data […].

article thumbnail

Optimizing Your IT Budget While Running a Data-Centric Company

Smart Data Collective

Big data technology has become a very important aspect of our lives. More businesses than ever are transitioning to data-driven business models. Research has shown that companies with big data strategies are 19 times more likely to become profitable. Unfortunately, some businesses have made poor decisions when instituting a data strategy. In a sense, despite its tremendous value, big data has become a bit of a bubble for many companies.

Big Data 111
article thumbnail

The Cloud Development Environment Adoption Report

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.

article thumbnail

Visualizing the DC Police budget

Tableau

Channing Nesbitt. Co-lead of Tableau Foundation’s Racial Justice Data Initiative. Kristin Adderson. January 28, 2022 - 3:58pm. January 28, 2022. A data tool for budget accountability and transparency. In 2020, the DC Fiscal Policy Institute (DCFPI) partnered with the Urban Institute’s Justice Policy Center (Urban) to create an online tool to demystify the local police budget in DC, one of the most heavily-policed jurisdictions in America.

article thumbnail

TensorFlow for Computer Vision – Transfer Learning Made Easy

KDnuggets

In this article, see how you can get above 90% accuracy on the validation set with a pretty straightforward approach. You'll also see what happens to the validation accuracy if we scale down the amount of training data by a factor of 20. Spoiler alert - it will remain unchanged.

256
256
article thumbnail

MLOps vs DevOps: Let’s Understand the Differences?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be going through two concepts MLOps and DevOps. We will first try to get through their basics and then we will explore the differences between them. As you might be aware in DevOps we try to bring together […]. The post MLOps vs DevOps: Let’s Understand the Differences?

article thumbnail

2022: The Year Automation Comes to the Forefront of Reliability and Experience

Dataversity

It’s no shock to anyone that 2021 was a year of big change, much of it due to the continued effects the global pandemic has on how we do business. As every organization across every industry addresses their new needs for digital transformation and continues to expand distributed working options for their employees, it’s clear the way […]. The post 2022: The Year Automation Comes to the Forefront of Reliability and Experience appeared first on DATAVERSITY.

98
article thumbnail

How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

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.

article thumbnail

A successful path to data literacy and analytics maturity for all

Tableau

Forbes BrandVoice. Kristin Adderson. January 26, 2022 - 9:21pm. January 28, 2022. Editor's note: This article originally appeared in Forbes , by Sarah Nell-Rodriquez, Senior Manager of Customer Success, Tableau. Keeping up with rapid technology advancements and maintaining relevant skills has never been more difficult. Since the pandemic hit in early 2020, organizations have doubled down on digitization, data, innovation, and technology investments to equip their people with the skills and resou

article thumbnail

Learn Machine Learning 4X Faster by Participating in Competitions

KDnuggets

Participating in competitions has taught me everything about machine learning and how It can help you learn multiple domains faster than online courses.

article thumbnail

Feedforward Neural Network: Its Layers, Functions, and Importance

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Feedforward Neural Networks, also known as Deep feedforward Networks or Multi-layer Perceptrons, are the focus of this article. For example, Convolutional and Recurrent Neural Networks (which are used extensively in computer vision applications) are based on these networks.

article thumbnail

How AI Can Transform Hybrid Events

Dataversity

The initial phase of the global pandemic shocked nearly every industry, with in-person events effectively grinding to a halt. Industry conferences that millions of people had relied on for networking, training, and generating business were suddenly gone. Fortunately, companies, organizers, and supporting event platforms were agile, quick-footed, and resourceful in their efforts to shift events […].

AI 97
article thumbnail

Improving the Accuracy of Generative AI Systems: A Structured Approach

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.