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

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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.

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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 […].

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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.

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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.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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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.

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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

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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.

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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.

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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 […].

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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.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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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.

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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.

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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 […].

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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.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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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.

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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 274
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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 […].

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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.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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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

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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.

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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 […].

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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.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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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

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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.

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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?

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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 […].

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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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.

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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.

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Beginner’s Guide for Data Partitioning in HiveQL

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Facebook created a hive, however, it was eventually picked up by the Apache Software Foundation and developed as an open-source project under the name Apache Hive. It is used by a variety of businesses. Amazon uses it in Amazon Elastic MapReduce. Let’s have […].

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5 Data Storage Trends to Expect in 2022

Dataversity

What does 2022 hold for the data storage industry? Signs of what is to come have been emerging. The following are five predictions about the data storage market, grounded in understanding the direction where the market is going. They involve AI, cyber resilience, supercharged application, workload performance and availability, and reduction of OPEX and CAPEX. […].

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.