Analytics Vidhya
JULY 8, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Table of content What is OpenCV and its Uses Project Explanation. The post Build Sketches from Photographs using OpenCV appeared first on Analytics Vidhya.
Rocket-Powered Data Science
JULY 6, 2021
The year 2020 was remarkably different in many ways from previous years. In at least one way, it was not different, and that was in the continued development of innovations that are inspired by data. This steady march of data-driven innovation has been a consistent characteristic of each year for at least the past decade. These data-fueled innovations come in the form of new algorithms, new technologies, new applications, new concepts, and even some “old things made new again”.
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David Menninger's Analyst Perspectives
JULY 9, 2021
We are happy to share some insights about TIBCO Spotfire drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
Occam's Razor
JULY 5, 2021
One of the business side effects of the pandemic is that it has put a very sharp light on Marketing budgets. This is a very good thing under all circumstances, but particularly beneficial in times when most companies are not doing so well financially. There is a sharper focus on Revenue/Profit. From there, it is a hop, skip, and a jump to, hey, am I getting all the credit I should for the Conversions being driven by my marketing tactics?
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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 7, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this article, I am going to explain the steps. The post How to choose an appropriate Machine Learning Algorithm for Data Science Projects? appeared first on Analytics Vidhya.
Rocket-Powered Data Science
JULY 6, 2021
In this post, we will examine ways that your organization can separate useful content into separate categories that amplify your own staff’s performance. Before we start, I have a few questions for you. What attributes of your organization’s strategies can you attribute to successful outcomes? How long do you deliberate before taking specific deliberate actions?
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
BA Learnings
JULY 3, 2021
We’ve all encountered problems in our attempts to communicate business insights. Managing denial and setting expectations requires a positive rapport with critical stakeholders if we are to overcome these issues. To bridge communication gaps, understand why establishing a good rapport is vital. Then, apply these methods to building relationships with your most important stakeholders.
Analytics Vidhya
JULY 9, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction If you start to learn deep learning, the first thing. The post 12 Matrix Operations You Should Know While Starting your Deep Learning Journey appeared first on Analytics Vidhya.
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.
David Menninger's Analyst Perspectives
JULY 7, 2021
We are happy to share some insights about Infor Birst drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
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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?
Cloudera
JULY 8, 2021
It’s been a year of awakening and change across the U.S. and around the world. One year ago our CEO Rob Bearden vowed to take decisive action to make Cloudera a more diverse, equitable, and inclusive place to work and have Cloudera take an active role in promoting those attributes in the tech industry and our communities. . There is no one size fits all solution to creating an intentional and strategic plan for a diverse workforce.
Analytics Vidhya
JULY 6, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this article, you’ll learn about Python functions and their applications. The post All Fundamentals of Python Functions that You Should Know – A Quick Brush Up! appeared first on Analytics Vidhya.
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.
David Menninger's Analyst Perspectives
JULY 3, 2021
We are happy to share some insights about Microsoft Power BI drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
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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.
Juice Analytics
JULY 3, 2021
We had a couple of rising High School Sophomores as summer interns at Juice. One afternoon I asked them to make a Juicebox app on a topic of their choice. They chose to look at their gaming performance in Valorant , a team-based first-person shooter PC game. Then they documented the app building experience. Here’s what they had to say… It is a fierce rivalry: two friends, Owen and Marko, wanted to compare their Valorant statistics with each other to see who is truly the better player.
Analytics Vidhya
JULY 7, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Docker is a platform that deals with building, running, managing, The post Shipping your Machine Learning Models With Dockers appeared first on Analytics Vidhya.
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.”.
Cloudera
JULY 9, 2021
If you’ve followed Cloudera for a while, you know we’ve long been singing the praises—or harping on the importance, depending on perspective—of a solid, standalone enterprise data strategy. While certainly not a new concept, Government missions are wholly dependent on real time access/analysis of data (wherever it may be (legacy data centers or public cloud) to render insight to support operational decisions.
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.
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.
Analytics Vidhya
JULY 9, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Naive Bayes is a powerful tool that leverages Bayes’ Theorem. The post Topic modeling With Naive Bayes Classifier appeared first on Analytics Vidhya.
Smart Data Collective
JULY 9, 2021
Many companies have discovered that it is very difficult to find a pool of talented employees. Fortunately, new advances in big data technology are helping companies get better qualified workers. Data analytics technology is very important in assessing the performance of staffing services. Companies can use data analytics to improve their hiring processes.
Cloudera
JULY 7, 2021
Hortonworks DataFlow (HDF) 3.5.2 was released at the end of 2020. The new releases will not continue under HDF as Cloudera brings the best and latest of Apache NiFi in the new Cloudera Flow Management (CFM) product. Getting the latest improvements and new features of NiFi is one of many reasons for you to move your legacy deployments of NiFi on this new platform.
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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.
Data Virtualization
JULY 7, 2021
In a previous post, I talked about some key data virtualization concepts and the types of professionals who can benefit the most from it. Data virtualization is not only beneficial in certain specific areas, but it can really make a. The post When Data Virtualization Makes the Difference appeared first on Data Virtualization blog.
Analytics Vidhya
JULY 8, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In my previous article, I completely discuss all the basic. The post 15 Python Built-in Functions which You Should Know while learning Data Science appeared first on Analytics Vidhya.
Smart Data Collective
JULY 8, 2021
Ever since its emergence at the beginning of the century, building information modeling (BIM) has streamlined the construction process of buildings, up from their conception to execution. Acting as a powerful 3D design tool, BIM software like Revit allows its users to visualize the final end product and make modifications that integrate with the model seamlessly.
Cloudera
JULY 9, 2021
In this previous blog post we provided a high-level overview of Cloudera Replication Plugin, explaining how it brings cross-platform replication with little configuration. In this post, we will cover how this plugin can be applied in CDP clusters and explain how the plugin enables strong authentication between systems which do not share mutual authentication trust.
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.
Jedox
JULY 6, 2021
When considering the performance of any forecasting model, the prediction values it produces must be evaluated. This is done by calculating suitable error metrics. An error metric is a way to quantify the performance of a model and provides a way for the forecaster to quantitatively compare different models 1. They give us a way to more objectively gauge how well the model executes its tasks.
Analytics Vidhya
JULY 6, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Python is a beautiful Programming Language. Because of its flexibility. The post Everything You Should Know about Iterables and Iterators in Python as a Data Scientist! appeared first on Analytics Vidhya.
Smart Data Collective
JULY 7, 2021
Analytics is extremely important for any company that wants to get the most out of its marketing efforts. Social media marketing is no exception. It is impossible to create an effective social media marketing strategy without utilizing big data analytics effectively. You need to learn how to use big data and social analytics with your marketing strategy.
Dataiku
JULY 8, 2021
Congratulations — you’ve arrived at the assessment step in your recruitment process! This means both your resume and the first conversations you had with recruiters demonstrated that your profile could be a great match for your dream role, whether it’s data scientist, software engineer, or cloud architect. You should be proud. but the journey is not over yet.
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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