Domino Data Lab
DECEMBER 2, 2020
Original content by Manojit Nandi – Updated by Josh Poduska. Cluster Analysis is an important problem in data analysis. Data scientists use clustering to identify malfunctioning servers, group genes with similar expression patterns, and perform various other applications. There are many families of data clustering algorithms, and you may be familiar with the most popular one: k-means.
Analytics Vidhya
DECEMBER 3, 2020
This article was published as a part of the Data Science Blogathon. Introduction Cluster analysis or clustering is an unsupervised machine learning algorithm that. The post A Detailed Introduction to K-means Clustering in Python! appeared first on Analytics Vidhya.
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erwin
DECEMBER 3, 2020
As the amount of data grows exponentially, organizations turn to data intelligence to reach deeper conclusions about driving revenue, achieving regulatory compliance and accomplishing other strategic objectives. It’s no secret that data has grown in volume, variety and velocity, with 2.5 quintillion bytes generated every day and 90 percent of the world’s data volume created just in the last two years.
Juice Analytics
DECEMBER 1, 2020
Ocean_of_the_Stream_of_Stories. From Edward Tufte's Visual Explanations, a diagram based on Salman Rushdie‘s description of the Indian epid Kathasaritsagara or Ocean of the Streams of Story. The hot new concept in data visualization is "data storytelling"; some are calling it the next evolution of visualization (I'm one of them). However, we're early in the discussion and there are more questions than answers: Is data storytelling more than a catchy phrase?
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
Smart Data Collective
DECEMBER 2, 2020
If the work of a human’s mind can be somehow represented, interactive data visualization is the closest form of such representation right before pure art. So, what is Interactive data visualization and how are they driven by modern interactive data visualization tools? Generally speaking, data visualization itself visually represents a certain database.
Analytics Vidhya
DECEMBER 1, 2020
This article was published as a part of the Data Science Blogathon. Introduction: These days if we read anything, we can see something is. The post Use of Machine Learning in Dairy farming appeared first on Analytics Vidhya.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
FineReport
NOVEMBER 30, 2020
When looking at your company’s monthly metrics, it’s essential to focus on a month’s worth of data. Realizing a 50% increase in sales can be encouraging, but looking at these numbers separately doesn’t necessarily provide a full picture of your business performance. A month’s metrics is worthwhile, but it can be misleading if not placed in the proper context.
Smart Data Collective
DECEMBER 2, 2020
In recent years, leading professional fields like marketing have leaned heavily on phrases like, “content is king,” but if you’ve been paying attention – not just to marketing, but to many other growing fields, including eCommerce, healthcare, and finance – the real reigning force is not content, but data. Big data, which is itself a consequence of other technology, gives us the tools to interpret our actions, to strategize and analyze in new and more objective ways.
Analytics Vidhya
NOVEMBER 30, 2020
This article was published as a part of the Data Science Blogathon. Introduction We all have been hearing about the buzz word – “Data. The post Nervous about your first data science project! Here are 6 easy steps to get started! appeared first on Analytics Vidhya.
Sisense
NOVEMBER 30, 2020
Blog. Every company is becoming a data company. Data-Powered Apps delves into how product teams are infusing insights into applications and services to build products that will delight users and stand the test of time. Applications of all kinds now face increasing pressure to offer analytics and stats to users on both sides of the fence: Subscribers and members want to see their personal analytics dashboards ; business teams want to see data on those members as well as app performance.
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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?
Jet Global
DECEMBER 2, 2020
A common complaint of executive level management is “I know that we track a lot of data in our ERP system, but for some reason, we have a lot of difficulty gaining visibility into that information.”. That lack of visibility has many implications, including an incomplete view of the levers of profitability, time wasted tracking down information, and the inability to identify macro trends, and adjust strategy to new market conditions.
Smart Data Collective
DECEMBER 1, 2020
Artificial intelligence is shaping our world in unbelievable ways. As previously stated, it has both benefits and drawbacks. What do you think would happen if robots took over the world? Would you never have to go to school again? Or would you never have to take the bus again? Oh, wait! Will the bus now be driven by a robot? You need to think about the different ways AI is changing our world.
Analytics Vidhya
NOVEMBER 30, 2020
Introduction Becoming a data scientist has become like the “American Dream” – everybody wants to have it! However, for all the beginners out there. The post How can you Master Data Science without a Degree in 2020? appeared first on Analytics Vidhya.
Dataiku
DECEMBER 3, 2020
In May, Dataiku launched Dataiku Academy , a free online learning tool to enable all users to build their skills around Dataiku DSS. Dataiku Academy is designed for every type of user — from non-technical roles to the hardcore coders — and meant to guide them through self-paced, interactive online training. Below, we share the five Dataiku Academy courses with the highest enrollment and a brief overview of what each course contains so you can decide which ones to take in the new year.
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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.
TDAN
DECEMBER 2, 2020
Ensuring data quality is an important aspect of data management and these days, DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever before. The importance of quality data cannot be overstated. Poor data quality costs the typical company between 10% and 20% of […].
Smart Data Collective
NOVEMBER 30, 2020
Data is absolutely vital to your occupation as a business owner. After all, this information lets you understand your market better, enabling you to provide better customer experiences. However, customers aren’t as willing to share personal information with companies. In fact, a study found that 79% of Americans are concerned about how their data is being used by companies, which is not good for building trust.
Analytics Vidhya
DECEMBER 4, 2020
This article was published as a part of the Data Science Blogathon. Introduction Random Forests are always referred to as black-box models. Let’s try. The post Lets Open the Black Box of Random Forests appeared first on Analytics Vidhya.
Dataiku
NOVEMBER 30, 2020
This is a guest post from our friends at Excelion Partners.
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.
TreehouseTechGroup
DECEMBER 3, 2020
Digital transformation consulting organizations such as Treehouse have the opportunity to observe successful transformation projects along with others that are floundering or have been abandoned. Based on this observation and analysis, we see that a well thought out roadmap for digital transformation of your organization dramatically increases the probability of success.
Smart Data Collective
NOVEMBER 30, 2020
Pokémon activities have changed dramatically since they first became popular over 20 years ago. Artificial intelligence has been highly influential in changing the way that the game is played. AI has even made it possible to use a fake GPS joystick for Pokémon Go with spoofing or Dr. Fone Virtual Location. Artificial intelligence has been particularly important with the Pokémon Go game.
Analytics Vidhya
DECEMBER 3, 2020
This article was published as a part of the Data Science Blogathon. Introduction The general principle of ensembling is to combine the predictions of various. The post Improve your Predictive Model’s Score using a Stacking Regressor appeared first on Analytics Vidhya.
The Data Visualisation Catalogue
DECEMBER 2, 2020
This is an update on the project, as it’s been a while since I last posted on this blog. I felt I would be doing the users of this website a disservice if I didn’t explain my absence and the lack of new content. But the reasons I’ve been away have been for (I believe) mostly good reasons, that have contributed greatly to developing my understanding of data visualisation and how to teach it to others.
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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.
TDAN
DECEMBER 1, 2020
We’ve been working on something we call “SemOps” (like DevOps but for Semantic Technology + IT Operations). The basic idea is how can we create a pipeline to go from proposed enterprise ontology or taxonomy enhancements to “in-production” as frictionlessly as possible. As so often happens, when we shine the Semantic Light on a topic […].
Smart Data Collective
NOVEMBER 30, 2020
Automation is a growing market throughout the world. According to many experts, it is expected to be worth $83 billion by the end of next year. The appeal of automation becomes a lot more evident when you understand its capabilities. Data automation, in particular, can offer some tremendous benefits. Understanding the Phenomenal Benefits of Data Automation.
Analytics Vidhya
NOVEMBER 30, 2020
This article was published as a part of the Data Science Blogathon. Introduction We, as human beings, make multiple decisions throughout the day. For. The post Popular Classification Models for Machine Learning appeared first on Analytics Vidhya.
Jet Global
DECEMBER 1, 2020
Finance teams often work with business intelligence (BI) tools to analyze data, identify trends, pinpoint discrepancies, and build informative, compelling reports for management. Unfortunately, most BI tools require substantial development effort just to get up and running, such as deep technical expertise, access to development software such as Visual Studio.net, and a significant time commitment.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
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.
Cloudera
DECEMBER 4, 2020
After a tumultuous year, the final award category at the Data Impact Awards was a much needed pick me up for everyone in attendance. Showcasing some of the most inspiring and uplifting use cases of Cloudera’s technology, The Data for Good category recognizes organizations that are tackling the challenging issues affecting society and the planet — and we all know there are plenty of them in 2020!
Dataiku
DECEMBER 2, 2020
The short answer is: No, robotic process automation (RPA) and artificial intelligence (AI) are not the same thing. However, they are two complementary technologies that can increase efficiency in a wide range of business processes.
Analytics Vidhya
DECEMBER 2, 2020
This article was published as a part of the Data Science Blogathon. Introduction A job search can be the most frustrating periods of your. The post How to accelerate Data Science job search in 2021 appeared first on Analytics Vidhya.
CONTACT Software
DECEMBER 1, 2020
Classic, agile or hybrid project management – what do I choose in a project? The Stacey Matrix (after the organizational theorist Ralph D. Stacey) can provide a decision support. A criteria catalog is used to assess how well a project plan is already understood – in terms of requirements on the one hand and the … Continue reading "Complicated vs.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
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