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 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.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
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 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.
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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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
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 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 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 26, 2021
Data analytics is the backbone in many modern organizations. Companies need to analyze data to optimize their business models in a variety of ways. They have found that big data has changed their business models in countless ways. One of the biggest applications of data analytics has been through the development and organization of dedicated teams. This has been even more important during the pandemic, but this data-driven approach to business management will continue long after the pandemic sub
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
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 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.
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.
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: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
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 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.
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.
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
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 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.
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.
Speaker: Nikhil Joshi, Founder & President of Snic Solutions
Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.
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.
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.
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 […].
DeepMind
JULY 26, 2021
In recent years, artificial intelligence agents have succeeded in a range of complex game environments. For instance, AlphaZero beat world-champion programs in chess, shogi, and Go after starting out with knowing no more than the basic rules of how to play. Through reinforcement learning (RL), this single system learnt by playing round after round of games through a repetitive process of trial and error.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
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