Analytics Vidhya
JULY 29, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Image Source No matter how long-running a love-hate relationship you have. The post How much Mathematics do you need to know for Machine Learning? appeared first on Analytics Vidhya.
Dataconomy
JULY 28, 2021
“Infobesity” is a term we’re hearing more frequently these days as consumers are creating exponentially more data in their daily lives, and brands are similarly consuming larger portions. From eCommerce sites to a multitude of social media channels, there are terabytes of data available in today’s increasingly digital world.
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Smart Data Collective
JULY 28, 2021
The supply-chain analytics market is projected to be worth over $16.8 billion by 2027. This is largely due to the benefits of using data analytics to improve automation in merchandise distribution. As a retailer or manufacturer selling via e-commerce platforms, you already know the importance of using big data to improve automation. While some jobs must be performed by actual humans, many can be performed just as well through algorithms, machines, and other technologies.
FlowingData
JULY 29, 2021
Researchers asked 10,000 participants to list ten things that recently made them happy. I counted and connected the dots. Read More.
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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
JULY 26, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Hi, all Analytics Vidhya readers. Hope you all are doing well. The post Predicting The Wind Speed Using K-Neighbors Classifier appeared first on Analytics Vidhya.
Dataconomy
JULY 28, 2021
The Internet of Things (IoT) is seemingly everywhere these days. You can find IoT devices in connected utility systems, appliances, sensors, security systems, cameras, wearable health devices, and pretty much everything else you can think of. This is just the start of what’s to come, with the IoT market on.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
FlowingData
JULY 26, 2021
The New York Times charted speed ranks during the women’s 4×100 freestyle relay. My favorite part is how they got the data, which wasn’t available, so they estimated through photos and timestamps: The Times annotated a sequence of several hundred photographs to determine the speed of each athlete throughout the race. Speeds were calculated by combining the positions of the athletes with timestamp information from the images.
Analytics Vidhya
JULY 26, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Monte Carlo simulation is a computational algorithm that makes use. The post A Guide To Monte Carlo Simulation! appeared first on Analytics Vidhya.
DataRobot
JULY 29, 2021
Have you ever asked a simple question, then unexpectedly received a complex answer? In my experience, this happened most often when dealing with lawyers and academics, but more recently I’ve noticed the same behavior coming from data scientists. Sometimes I just want a quick and simple explanation! What was your most hated subject at school? An AP-AOL news poll found that mathematics was the subject that 37% of Americans hated most during their school days, easily ranking as the most hated schoo
Smart Data Collective
JULY 27, 2021
We have talked in depth about the massive benefits of cloud technology for small businesses. There are a number of compelling reasons that businesses need to turn to cloud technology to develop a strong edge against the competition. This explains why the cloud technology market will grow by $287 billion over the next four years. There are a number of cloud computing applications that can help companies improve their bottom lines.
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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
JULY 28, 2021
We’re all familiar with the Covid-19 line charts that show cases over time, which highlights absolute counts. There are peaks. There are some valleys. Emory Parker for STAT shifted the focus to how quickly the rate is changing , or acceleration, to emphasize which direction rates are headed. Tags: baseline , change , coronavirus , STAT.
Analytics Vidhya
JULY 27, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Why NLP? Natural Language Processing has always been a key tenet. The post Getting Started with Natural Language Processing using Python appeared first on Analytics Vidhya.
Dataversity
JULY 29, 2021
Click to learn more about author Ahmer Inam. How might artificial intelligence (AI) help physicians diagnose medical conditions more effectively? This question grows more important each year. Approximately 400,000 hospitalized patients experience some type of preventable harm each year, costing the health care industry $20 billion, according to NCBI.
Smart Data Collective
JULY 29, 2021
The race to embrace digital transformation is on and a lot of organizations are doing everything possible to ensure they digitize every piece of information; this is, however, putting at greater risks of cyber-attacks and data breaches. Taking into account that the global spend on digital transformation is projected to hit an astonishing $2.39 Trillion by 2024 , it’s obvious that data security challenges will hit new heights.
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
JULY 29, 2021
Joshua Barbeau fed an AI chatbot with old texts from his fiancee who had died years before, so that he could talk to her again. Jason Fagone for the San Francisco Chronicle wrote about Barbeau’s experience : As Joshua continued to experiment, he realized there was no rule preventing him from simulating real people. What would happen, he wondered, if he tried to create a chatbot version of his dead fiancee?
Analytics Vidhya
JULY 26, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: Any data point/observation that deviates significantly from the other observations. The post Anomaly detection using Isolation Forest – A Complete Guide appeared first on Analytics Vidhya.
Dataversity
JULY 28, 2021
Click to learn more about author Assaf Egozi. Modern organizations house a growing number of “citizen data analysts.” These individuals hold a wide range of positions in the enterprise, from executive and business roles through to data, business, operations, marketing, and sales analyst roles. They work across a wide range of functions, striving to improve insights into […].
DataRobot
JULY 27, 2021
Today we’re announcing two major milestones: the first is our Series G financing round co-led by Altimeter and Tiger Global with participation from other world-class public and private investors. Additionally, we’re announcing our acquisition of Algorithmia , a leader in MLOps. . An Unprecedented Market Opportunity. Last fall, I penned a blog post around our Series F funding, focused on the fact that the era of experimental AI is over.
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.
FlowingData
JULY 29, 2021
Welcome to issue #150 of The Process , the newsletter for FlowingData members about how the charts get made. I’m Nathan Yau, and every month I collect tools and resources that help you visualize data better. This is the good stuff for July. Become a member for access to this — plus tutorials, courses, and guides.
Analytics Vidhya
JULY 30, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Image by Author | Photo by Shahadat Rahman | Elements. The post Creating Data Science Python Package using Jupyter Notebook appeared first on Analytics Vidhya.
Dataversity
JULY 28, 2021
Click to learn more about author Matt Yonkovit. A forest fire is a powerful force of nature. Capable of massive destruction, but also with the potential to bring forth new life and facilitate positive growth. Cloud database-as-a-service offerings have a similar duality. The power of the cloud has transformed our technology infrastructure. Nowhere is this more evident […].
DataRobot
JULY 27, 2021
In a global marketplace where decision-making needs to happen with increasing velocity, data science teams often need not only to speed up their modeling deployment but also do it at scale across their entire enterprise. Often, they are doing this with smaller teams in place than they need due to the shortage of data scientists. It’s no wonder, then, that it can take an average of 17 months for a typical firm to break even on its returns from AI projects.
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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.
FlowingData
JULY 27, 2021
The Bloomberg medal tracker is fun to look at. I think the graphics desk was instructed to use as many new-ish chart types as they could without alienating readers: the streamgraph, force-directed clusters, an international map grid, line-based isotype, and plenty of bubbles. I’m into it. Tags: medal , Olympics , tracker.
Analytics Vidhya
JULY 25, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon 1. Objective In this article, we will be predicting the prices. The post Car Price Prediction – Machine Learning vs Deep Learning appeared first on Analytics Vidhya.
Alation
JULY 26, 2021
Beginning a digital transformation journey in a big organization can feel daunting. This is not a simple or straightforward undertaking! How do you initiate change within a system containing many thousands of people and millions of bytes of data? It begins with recognizing a problem. During my time as a data specialist at American Family Insurance, it became clear that we had to move away from the way things had been done in the past.
Dataversity
JULY 26, 2021
Click to learn more about author Steve Zagoudis. Lean GovernanceTM is the next machine to change the world of Data Governance and Enterprise Data Management. As proponents of lean thinking, we view corporations as data factories that produce information for operations, reporting, and financial modeling. We were inspired by the 1990 groundbreaking book “The Machine that […].
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
JULY 28, 2021
Ben Casselman and Ella Koeze for The New York Times compared time use in 2020 against time use in 2019 , among different demographic groups. As we know, the pandemic affected everyone differently. The slope charts show overall averages, so it would be an interesting next step to look at more granular variations. I suspect you’d see more pronounced shifts.
Analytics Vidhya
JULY 27, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview This article will help us understand the working behind K-means. The post Understanding K – Means Clustering WIth Customer Segmentation Usecase appeared first on Analytics Vidhya.
Tableau
JULY 28, 2021
Anthony Roach. Director, Product Management. Kristin Adderson. July 28, 2021 - 5:42pm. July 29, 2021. Connectivity is where the Tableau experience starts . Our mission at Tableau is to help customers see and understand their data. To accomplish this, customers need to be able to access whatever data is important to their analytic needs, wherever it lives.
Alation
JULY 30, 2021
6 Business Problems Data Catalogs Solve. CIOs seek salespeople who use plain language to describe complex business problems. In Key Takeaways from ‘The Qualified Sales Leader’, I shared that salespeople must sell product value over feature and function if they wish to excel. The question I ask now is: What business problems does a data catalog solve for business customers?
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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