Analytics Vidhya
SEPTEMBER 10, 2021
This article was published as a part of the Data Science Blogathon Introduction I have been using Pandas with Python and Plotly to create some of the most stunning dashboards for my projects. In recent times, I have switched to learning Excel as it was a prerequisite in every company I had to apply to. I […]. The post How to Create Stunning and Interactive Dashboards in Excel?
Dataconomy
SEPTEMBER 9, 2021
Sustainability is a term thrown about quite often in conversations that we have, in the workplace or at home. The umbrella term sustainability includes depleting resources, increasing temperatures, rising sea levels, and more. The concept of sustainability as we know it today was defined in the 1980s. Since then, it.
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Hacker News
SEPTEMBER 8, 2021
I've written a fair bit about how using pull requests can encourage a low integration frequency, reducing cycle time and discouraging refactoring. Rouan Wilsenach has had success using an approach that categorizes changes as Ship/Show/Ask - using this classification to decide whether and how to use pull requests.
FlowingData
SEPTEMBER 10, 2021
Kim Moran-Jones quilted temperature minima and maxima in the UK , along with Covid-19 deaths on the perimeter in grayscale. Data and the physical fit well together. Tags: coronavirus , Kim Moran-Jones , physical , quilt.
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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?
Analytics Vidhya
SEPTEMBER 8, 2021
This article was published as a part of the Data Science Blogathon Introduction We all know the phrase: “Every picture can tell us a story” There could be a lot of information hidden inside an image and we could interpret it in different ways and perspectives. So, what is an image, and how to deal with […]. The post A Beginner’s Guide to Image Processing With OpenCV and Python appeared first on Analytics Vidhya.
Smart Data Collective
SEPTEMBER 8, 2021
More and more businesses and organizations treat data as an essential asset. The importance of managing and leveraging data cannot be overestimated. The process of interpreting and analyzing data and putting it into context helps businesses and organizations make informed decisions, predict trends, anticipate expectations, improve security, optimize internal operations, and stay ahead of competitors.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
FlowingData
SEPTEMBER 9, 2021
James Cheshire and Oliver Uberti teamed up for another book of maps, Atlas of the Invisible : Sometimes we miss what we can’t step back to see. Sometimes the invisible only appears with the creep of time. And sometimes, in the case of historical events, the visible becomes invisible with the loss of a generation. Graphics give us the power to zoom out, to compare, to remember.
Analytics Vidhya
SEPTEMBER 10, 2021
This article was published as a part of the Data Science Blogathon Introduction You may be frequently using Google Assistant or Apple’s Siri or even Amazon Alexa to find out quick answers on the web or to simply command something. These AI assistants are well known for understanding our speech commands and performing the desired tasks. They quickly respond to […].
Smart Data Collective
SEPTEMBER 7, 2021
During the beginning of the pandemic, many businesses went digital, and the retail industry is no exception. Technologies became a crucial part of achieving success in the increasingly competitive market, including big data and analytics. Big data in retail help companies understand their customers better and provide them with more personalized offers.
Dataversity
SEPTEMBER 9, 2021
Click to learn more about author Ashok Sharma. When it comes to data storage, the temperature must be taken into consideration. The level of layered data storage service, from cold to hot, is described by the temperature setting. The levels are distinguished according to the level of significance for the business – in other words, […]. The post Cold vs.
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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.
DataRobot
SEPTEMBER 7, 2021
Back to school isn’t just for kids—it’s for anyone who wants to stay on top of industry trends and build their skills in this rapidly changing environment. This is especially important for business analysts and data professionals who want to be expert problem solvers in their organizations. You might be one of them. To remain in high demand and competitive, you know the importance of striving to find effective and efficient ways to solve business problems.
Analytics Vidhya
SEPTEMBER 5, 2021
This article was published as a part of the Data Science Blogathon Introduction Deep learning is a subset of Machine Learning and Artificial Intelligence that imitates the way humans gain certain types of knowledge. It is essentially a neural network with three or more layers. deep-learning helps to solve many artificial intelligence applications that help improving […].
Smart Data Collective
SEPTEMBER 7, 2021
You’ve worked hard building your business from the ground up, which is why it’s stressful to know that hackers and other cyber threats lurk on every corner. Data breaches are incredibly costly for companies to deal with, so you want to invest time in ensuring that you’re protecting business and consumer data. It’s vital that you arm yourself with the right tools to avoid hacking, theft, or data loss.
Dataversity
SEPTEMBER 8, 2021
Click to learn more about author Eric Polet. As the data-sphere expands in size and value, it becomes even more vulnerable to data loss from such things as cyberattacks, natural disasters, and human error. This has prompted organizations of all sizes to rethink their strategies for achieving both data resiliency and data protection. So, what […].
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.
FlowingData
SEPTEMBER 9, 2021
Welcome to issue #156 of The Process , the newsletter for FlowingData members about how the charts get made. I’m Nathan Yau, and this week I’m wondering if I were to start to learn visualization from the beginning, would I focus more on chart types or visual encodings? Become a member for access to this — plus tutorials, courses, and guides.
Analytics Vidhya
SEPTEMBER 9, 2021
This article was published as a part of the Data Science Blogathon Introduction Hello everyone, in this article we will pick the use case of sequence modelling, which is time series forecasting. Time series is all around us from predicting sales to predicting traffic and more. A simple example of time series is the amount of […]. The post Web Traffic Forecasting Using Deep Learning appeared first on Analytics Vidhya.
Smart Data Collective
SEPTEMBER 5, 2021
SMS marketing is one of the most widely used forms of marketing. It’s the process of sending customized messages to consumers to communicate updates, offers, and reminders using automated platforms. SMS marketing is also one of the cheapest marketing techniques, but one with high effectiveness, boasting an open rate of 98%. The unparalleled reach that it provides is due to the vast number of mobile users, which is expected to double—if not triple—in the coming years. (1).
Dataversity
SEPTEMBER 6, 2021
Click to learn more about author Mike Potter. The rush to become data-driven is more heated, important, and pronounced than it has ever been. Businesses understand that if they continue to lead by guesswork and gut feeling, they’ll fall behind organizations that have come to recognize and utilize the power and potential of data. But […]. The post In a Data-Driven Economy, Data “Real Estate” Must Be Modernized appeared first on DATAVERSITY.
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.
Alation
SEPTEMBER 7, 2021
This is the last of the 4-part blog series. In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. Now that you have empowered data scientists and analysts to access the Snowflake Data Cloud and speed their modeling and analysis, you need to bolster the effectiveness of your governance models.
Analytics Vidhya
SEPTEMBER 4, 2021
This article was published as a part of the Data Science Blogathon This is a tutorial on how to create a deep learning model for predicting stock prices using the TensorFlow framework. This is an advanced project of Tensorflow which means you should be very clear with the basics of Stock Prices. You can also check […]. The post Predicting Stock Prices with TensorFlow appeared first on Analytics Vidhya.
Smart Data Collective
SEPTEMBER 8, 2021
Machine learning has made app development much easier than ever, even for people without previous coding experience. Once upon a time, coding and developing seemed like it was something hard and far-fetched for anyone with no previous experience. Only those who studied software building, coding, and development could do this, but this isn’t the case anymore.
Dataversity
SEPTEMBER 10, 2021
Click to learn more about author Sharad Varshney. A business glossary is a list of data-related terms and definitions, displayed clearly and logically so everyone in an organization can access them. A business glossary is an essential Data Literacy tool and crucial for effective Data Governance. Standardization is one of the major components of Data Literacy and, subsequently, […].
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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.
Alation
SEPTEMBER 9, 2021
Banks collect and manage a lot of sensitive data. The moment an individual opens an account, you’re asking them for information that needs to be protected, from name and address to social security number. And, the data collection doesn’t stop there — rich insights like transactions and purchasing information help to round out customer profiles.
Analytics Vidhya
SEPTEMBER 6, 2021
This article was published as a part of the Data Science Blogathon Introduction Q-Q plots are also known as Quantile-Quantile plots. As the name suggests, they plot the quantiles of a sample distribution against quantiles of a theoretical distribution. Doing this helps us determine if a dataset follows any particular type of probability distribution like normal, […].
Console DevTools podcast
SEPTEMBER 8, 2021
Episode 10 of the Console DevTools Podcast, a devtools discussion with David Mytton (Co-founder, Console ) and Jean Yang (CEO, Akita Software ). Tools discussed: Cue - 0pen source data validation language) Leapp (manage cloud access credentials) Find more interesting tools and beta releases for developers at [link] Other things mentioned: JSON Go Protocol buffers Typescript F# Projects Julia Programming Language Akita Software AWS Identity and Access Management Apache Subversion Let us know wha
Dataversity
SEPTEMBER 10, 2021
Click to learn more about author Jay Chapel. We speak to enterprises large and small about cloud cost optimization, and one of the more dominant themes we have been hearing lately is: Who should manage app development costs? Cloud Operations teams (ITOps, DevOps, FinOps, Cloud Center of Excellence, etc.) that are responsible for the management, governance, and […].
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.
Twilio Segment
SEPTEMBER 7, 2021
Event streaming platforms such as Apache Kafka are gaining in importance across all industries. In this article we'll discuss the benefits Apache Kafka implementations can gain from pairing it with a CDP.
Analytics Vidhya
SEPTEMBER 4, 2021
This article was published as a part of the Data Science Blogathon Designing a deep learning model that will predict degradation rates at each base of an RNA molecule using the Eterna dataset comprising over 3000 RNA molecules. Image 1 Introduction mRNA vaccines are at forefront of battling the COVID-19 pandemic and they come with limitations. […].
FlowingData
SEPTEMBER 7, 2021
You might have heard that Bitcoin uses a lot of electricity. More than some countries. You might have wondered how that could be possible. The New York Times explains with a set of graphics and illustrations. Tags: Bitcoin , electricity , New York Times.
Dataversity
SEPTEMBER 7, 2021
Click to learn more about author Seapee Bajaj. In machine learning, data annotation involves the labeling of data to illustrate the outcome that is to be predicted by a machine learning model. One needs to mark, label, tag, transcribe, or process a dataset with the features that are required by a machine learning system to learn to […]. The post Data Annotation Tools for Machine Learning appeared first on DATAVERSITY.
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.
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