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 22, 2021
Smart home devices are used to monitor or control the environment in our homes. These marvels of technology make life easier by handling changes in temperature, lighting, entertainment systems, and other appliances. But while they’re the height of convenience, we can’t ignore the security nightmare being created by their use.
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The Data Administration Newsletter
JULY 21, 2021
In today’s world, access to data is no longer a problem. There are such huge volumes of data generated in real-time that several businesses don’t know what to do with all of it. Unless big data is converted to actionable insights, there is nothing much an enterprise can do. And outdated data models no longer […].
Tableau
JULY 10, 2021
Jackie Yeaney. EVP of Marketing, Tableau. Kristin Adderson. July 10, 2021 - 8:16pm. July 23, 2021. Meet Team USA. Over the next few weeks, 800-plus members of Team USA will converge in Tokyo to pursue their long-awaited Olympic and Paralympic dreams. These exceptional athletes will be competing in 339 medal events in 41 sports, including 22 Paralympic events, to be held in dozens of venues throughout Tokyo and surrounding regions.
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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?
Smart Data Collective
JULY 21, 2021
On the surface, digital transformation is a simple process. You take a business activity that is old and ineffective/inefficient and re-energize it with new technology. This could be moving your spreadsheets to cloud software or even going so far as to move up from paper to digital. There is nothing inherently wrong with this process, but the way digital transformation is deployed often misses powerful opportunities ripe for the taking.
FlowingData
JULY 7, 2021
Ian Leahy and Yaryna Serkez for NYT Opinion look at income and tree canopy in major cities. Higher median income neighborhoods correlate with cleaner and cooler air. Tags: income , New York Times , trees.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
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.
The Data Administration Newsletter
JULY 20, 2021
How does Spotify win against a competitor like Apple? They use data better. Using machine learning and AI, Spotify creates value for their users by providing a more personalized experience. Let’s take a quick look at the layers of aggregate information that are used to enhance their platform: – Spotify uses natural language processing (NLP) […].
Alation
JULY 19, 2021
What Is Metadata? Metadata is information about data. A clothing catalog or dictionary are both examples of metadata repositories. Indeed, a popular online catalog, like Amazon, offers rich metadata around products to guide shoppers: ratings, reviews, and product details are all examples of metadata. An asset alone is just the tip of the iceberg; metadata tells you “what lies beneath.”.
Smart Data Collective
JULY 8, 2021
Artificial intelligence is rapidly changing the state of finance. There is a lot of discussion about financial institutions relying on AI technology to better serve their customers. Intuitively, this also means that consumers stand to benefit from advances in artificial intelligence as well. However, they should not be passive about waiting for their bank, insurance company or other financial institution to advise them about new technology that can assist them.
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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 15, 2021
Welcome to issue #148 of The Process , the newsletter for FlowingData members about how the charts get made. I’m Nathan Yau, and this week I’m remembering to start an analysis with the basics — to get over the initial hump — and then generate questions towards more specific answers. Become a member for access to this — plus tutorials, courses, and guides.
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.
Dataconomy
JULY 8, 2021
Data has evolved to be present in every part of our lives. When buying a product, we search for a consumer rating or an expert giving us a statistic on how effective the product is. We collect data from our experiences and use it to guide future actions. A similar.
The Data Administration Newsletter
JULY 20, 2021
As AI continues to penetrate many areas of our lives, the music industry is no exception. Although there are many music production-related applications that involve AI, too many of them look like fun science projects without any applicability to the craft. However, in the past few years, the music industry has experienced a somewhat significant […].
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.
DataRobot
JULY 6, 2021
Who loves paying taxes? No one? I thought so. Yet it’s possible to nudge people to more willingly pay their taxes on time. The Behavioural Insights Team, also known unofficially as the “Nudge Unit,” was founded by the UK government in 2010 to use behavioral science to make public policies and services more effective. One of its more successful experiments is the use of peer pressure to improve tax collection.
Smart Data Collective
JULY 4, 2021
Wealth and asset management has come a long way, evolving through the use of artificial intelligence, or AI solutions. It is not meant to replace people and threaten their livelihood, but to strengthen the connection between businesses and their customers. Machine learning (ML) is a form of AI that is becoming more widely used in the market because of the rising number of AI vendors in the banking industry.
FlowingData
JULY 13, 2021
To show water levels in California’s drying reservoirs, The Washington Post used upside down triangles to represent each reservoir. I like the idea to use an encoding that kind of looks like a reservoir, but my brain can’t help but read the fill level through height instead of area. Maybe the tradeoff isn’t worth it in this case? Compare this against a circle representation from 2015.
Analytics Vidhya
JULY 19, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction How many times you have used Pandas library for your. The post Everything You Need To Know About PandasGUI appeared first on Analytics Vidhya.
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.
Dataconomy
JULY 23, 2021
It was a week of superlatives. Data Natives x VentureBeat Transform week was an outstanding success in every aspect. Whether you measure the quality of the speakers, the content of the sessions, the incredible registered attendee facts, the support of our sponsors and partners, or the number of people watching.
The Data Administration Newsletter
JULY 20, 2021
I believe that my strongest articles and columns come from opportunities to work with great companies and organization. Of course, I cannot mention their names. But there is a strong possibility that you may have some of the same opportunities in front of you. A long-time client recently told me that, for their data and […].
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 20, 2021
Big data technology is incredibly important in modern business. One of the most important applications of big data is with building relationships with customers. Every enterprise wants to improve its business relationship and productivity. Therefore, CRM software comes into the picture to help enterprises achieve their business targets. These software tools rely on sophisticated big data algorithms and allow companies to boost their sales, business productivity and customer retention.
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 29, 2021
Researchers asked 10,000 participants to list ten things that recently made them happy. I counted and connected the dots. Read More.
Analytics Vidhya
JULY 14, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: Source: [link] Language is very important when we want to. The post Understanding Natural Language Processing -A Beginner’s Guide appeared first on Analytics Vidhya.
Dataconomy
JULY 9, 2021
GAIA-X – a funding competition associated with the German Federal Ministry for Economic Affairs and Energy (BMWI) – has published the outlines for its first and second approval tranche, and polypoly is part of it as a consortium partner for the HEALTH-X dataLOFT project. GAIA-X is a project that aims.
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.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
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.
Smart Data Collective
JULY 8, 2021
John McCarthy invented the term Artificial Intelligence back in 1950. He said, “Every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it. An attempt will be made to find how to make machines use language, form abstractions, and concepts, solve kinds of problems now reserved for humans, and improve themselves.”.
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 14, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Machine learning is a fascinating field and everyone wants to. The post Python on Frontend: ML Models Web Interface With Brython appeared first on Analytics Vidhya.
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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.
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