Analytics Vidhya
OCTOBER 7, 2021
This article was published as a part of the Data Science Blogathon Overview Data provides us with the power to analyze and forecast the events of the future. With each day, more and more companies are adopting data science techniques like predictive forecasting, clustering, and so on. While it’s very intriguing to keep learning about complex […].
Dataconomy
OCTOBER 8, 2021
Architects and interior designers have switched from pencils and papers to digital software and iPads, causing a significant change in design practices over the last few decades. Digital tools, as well as VR and AR technologies, are changing the way we learn, work, and live. And a whole new direction.
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Tableau
OCTOBER 8, 2021
Francois Ajenstat. Chief Product Officer, Tableau. Spencer Czapiewski. October 8, 2021 - 11:41pm. October 12, 2021. It's more important than ever in this all digital, work from anywhere world for organizations to use data to make informed decisions. Speed, agility, and empowerment are crucial to thriving in this new environment. However, most organizations struggle to become data driven.
FlowingData
OCTOBER 6, 2021
Zan Armstrong, Ian Johnson, and Mike Freeman for Observable wrote a guide on analyzing time series data. Using an energy dataset, they show how asking different questions can lead to different findings and visualizations: These are stories about analyzing data that changes over time. While most of us don’t dig into data about energy day-to-day, we hope the feel of this data and these questions will be familiar to anyone who regularly faces questions like “what changed?
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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
OCTOBER 3, 2021
This article was published as a part of the Data Science Blogathon Overview Say, you were setting up a gift shop and your supplier dumps all the toys that you asked for in a room. It’s going to look something like this. Total chaos! Now picture yourself standing in front of this huge pile of toys […]. The post A Beginner’s Guide to Feature Engineering – Everything You Need to Know!
Smart Data Collective
OCTOBER 5, 2021
Analytics technology has been invaluable to modern marketing. The market for web analytics is projected to be worth $9.11 billion by 2025. The utilization of analytics and big data in the marketing industry has played a massive role in this robust growth. One of the most important benefits of analytics in marketing is with PPC marketing. More companies are using analytics to expand the reach of their PPC campaigns and improve their ROI.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
FlowingData
OCTOBER 4, 2021
Cloudflare describes how things looked from their point of view the day that Facebook, along with its other properties, went down. From the Border Gateway Protocol, which defines routing information: A BGP UPDATE message informs a router of any changes you’ve made to a prefix advertisement or entirely withdraws the prefix. We can clearly see this in the number of updates we received from Facebook when checking our time-series BGP database.
Analytics Vidhya
OCTOBER 4, 2021
This article was published as a part of the Data Science Blogathon What is CNN? Convolutional Neural Network is a type of deep learning neural network that is artificial. It is employed in computer vision and image recognition. This procedure includes the following steps: OCR and image recognition Detecting objects in self-driving cars Social media face […].
Smart Data Collective
OCTOBER 8, 2021
Learn how genetic algorithms and machine learning can help hedge fund organizations manage a business. As well as bolster investor confidence and improve profitability. As a hedge fund shareholder, you certainly want the best for your organization, right? For instance, you want to generate effective AUM, NAV, and share value reports to improve investor confidence as a manager.
Tableau
OCTOBER 8, 2021
Francois Ajenstat. Chief Product Officer, Tableau. Spencer Czapiewski. October 8, 2021 - 11:41pm. October 12, 2021. It's more important than ever in this all digital, work from anywhere world for organizations to use data to make informed decisions. Speed, agility, and empowerment are crucial to thriving in this new environment. However, most organizations struggle to become data driven.
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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.
FlowingData
OCTOBER 5, 2021
Inspired by a graphic on Reddit , Jim Vallandingham expanded the format for all the shows. Search for a show and get a heatmap for average ratings by season and episode. See how your favorite show went into the dumpster at the end or withstood the test of time. Nice. The data comes from IMDb Datasets , which seems like a fun time series dataset to poke at.
Analytics Vidhya
OCTOBER 2, 2021
This article was published as a part of the Data Science Blogathon Overview In the current scenario, the Data science field is dominated by Python/R but there is another competition added not so long ago, Julia! which we will be exploring in this guide. The famous quote (motto) of Julia is – Looks like Python, runs […]. The post Introduction to Deep Learning in Julia appeared first on Analytics Vidhya.
Smart Data Collective
OCTOBER 4, 2021
There is no question that big data is very important for many businesses. Unfortunately, big data is only as useful as it is accurate. Data quality issues can cause serious problems in your big data strategy. Customers won’t always directly tell you the information your company needs to provide better products or services. However, their conversations on social media, most frequently posted topics and words, and responses to survey questions can reveal information essential to your company’s per
Alation
OCTOBER 7, 2021
Jason McVay is a data scientist at Indigo Ag, an agriculture-tech company headquartered in Massachusetts. He has an education in environmental science and geography, with a Master’s degree in paleoecology. In this essay, Jason reflects on the value of thinking spatially about data, showing how his experience as a graduate student influences his role as a data scientist today.
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
OCTOBER 8, 2021
Spike maps use the height of spikes to encode data geographically. The format provides a similar effect to frequency trails where the layering looks 3-D-ish, except spikes are typically centered on an area instead of running parallel. Anyways, like most visualization methods with a name, there is an R package for spike maps by Timothée Giraud. If D3.js is your jam, there’s also a solution for that.
Analytics Vidhya
OCTOBER 2, 2021
This article was published as a part of the Data Science Blogathon Overview This comprehensive guide will instigate you to the world of Market Basket Analysis along with an implementation using Python on a dataset. Market Basket Analysis will help you to design different store Layouts. Introduction Nowadays Machine Learning is helping the Retail Industry in […].
Smart Data Collective
OCTOBER 7, 2021
Big data technology has been the basis for the Fintech industry. There is no disputing the major benefits that big data has created for the financial sector. However, there are also new challenges that have arisen as big data has become more widely available in Fintech. One of the biggest changes is new regulations. Fintech businesses must make sure that any data scientists working for them are licensed and trained to handle tasks with the utmost sensitivity.
Dataversity
OCTOBER 5, 2021
Click to learn more about author George Williams. In order to effectively back up all of data and resources with cloud disaster recovery, organizations need to craft a disaster recovery (DR) plan beforehand. This way, they will know exactly what to do and what to back up, and will save a lot of time and […]. The post What to Know Before Crafting a Cloud Disaster Recovery Plan 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.
DataRobot
OCTOBER 7, 2021
Trust in AI must be earned. Ideally, business users or consumers that interact with a model and its output displayed in a dashboard should not need to question its authenticity. Unfortunately, we aren’t there yet, and it’s because there are different components to trust, some we have yet to address. One of these components is empathy. Many individuals do not fully trust AI due to the lack of empathy that is instilled into models.
Analytics Vidhya
OCTOBER 8, 2021
We live in an era where choices are just endless. Especially with respect to Education! With a plethora of data science courses online, it is difficult to identify where to begin your journey from. How about beginning your MACHINE LEARNING Journey FREE of charge? Since its inception, Analytics Vidhya has been striving hard to explain […]. The post Would you like to start your Machine Learning journey for FREE?
Smart Data Collective
OCTOBER 3, 2021
AI technology has become a gamechanger for website development. Many developers are using AI to create better sites. However, it is also important to create sites with great AI features. AI-based solutions are becoming more and more popular among various industries. AI features can significantly improve the quality of your customer service and provide you with useful business insights.
Dataversity
OCTOBER 8, 2021
Click to learn more about author Peter Jackson. We have to make ethical decisions every day when working with data. The problem is, a lot of the time we might not realize when this is the case. Data professionals and organizations are often so focused on what can be done with data and at what scale, that […]. The post Data Ethics: What, Why Now, and Where Do We Start?
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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
OCTOBER 5, 2021
What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Answers will differ widely depending upon a business’ industry and strategy for growth. But what comes after these parameters are set?
Analytics Vidhya
OCTOBER 7, 2021
This article was published as a part of the Data Science Blogathon Overview Deep learning is the subfield of machine learning which is used to perform complex tasks such as speech recognition, text classification, etc. A deep learning model consists of activation function, input, output, hidden layers, loss function, etc. Any deep learning model tries to […].
Tableau
OCTOBER 6, 2021
Gabby Isaguirre. Brand Marketing Intern at Tableau, A Salesforce Company. Kristin Adderson. October 6, 2021 - 7:01am. September 17, 2021. The academic and professional worlds may not always be on the same page when it comes to equipping the incoming workforce with data skills. In fact, Tableau recently commissioned Forrester to investigate the data literacy gap, and according to The Great Data Literacy Gap: Demand for Data Skills Exceeds Supply , only 66% of surveyed academic decision-makers rat
DataRobot
OCTOBER 5, 2021
At the organizational level, artificial intelligence represents the potential for major, novel gains. But the technology’s ability to unleash rapid impact with great scope and unique dimensions can also increase organizational risk. For companies implementing AI systems, that risk extends beyond revenue to the reputational damage of using an algorithm that is perceived to be discriminatory or harmful to vulnerable groups.
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.
FlowingData
OCTOBER 7, 2021
Welcome to issue #160 of The Process , the newsletter for FlowingData members on how the charts get made. I’m Nathan Yau, and this week I imagine how one might start a freelance career in visualization these days — and probably provide terrible advice along the way. Become a member for access to this — plus tutorials, courses, and guides.
Analytics Vidhya
OCTOBER 5, 2021
This article was published as a part of the Data Science Blogathon Overview Reinforcement learning is not just used for Robotics but now even in Data Science It has tons of applications and we will cover some of them in this guide. This comprehensive guide will introduce you to RL theory and implementation, all in Python […]. The post A Comprehensive Guide to Reinforcement Learning appeared first on Analytics Vidhya.
Tableau
OCTOBER 5, 2021
Matt Gizbert. Product Manager. Kristin Adderson. October 6, 2021 - 2:48am. October 6, 2021. How do you find inspiration when you’re staring at a blank canvas? There are so many great places for Tableau users to find inspiration, including the Tableau Community Forums, Tableau Public, and all the amazing blogs and websites where Tableau Zen Masters, Ambassadors, and partners publish their incredible work.
The Data Administration Newsletter
OCTOBER 5, 2021
Data is the raw material for any type of analytics – whether it is related to historical analysis presented in reports and dashboards by business analysts, or predictive analysis that involves building a model by data scientists that anticipates an event or behavior that has not yet occurred. Before business analysts or data scientists can […].
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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