Analytics Vidhya
NOVEMBER 18, 2020
Overview Know which are the top 13 data science libraries in python Find suitable resources to learn about these python libraries for data science. The post Top 13 Python Libraries Every Data science Aspirant Must know! (and their Resources) appeared first on Analytics Vidhya.
David Menninger's Analyst Perspectives
NOVEMBER 13, 2020
A data lake is a centralized repository designed to house big data in structured, semi-structured and unstructured form. I have been covering the data lake topic for several years and encourage you to check out an earlier perspective called Data Lakes: Safe Way to Swim in Big Data? for background. Our data lake research has uncovered some points to consider in your efforts, and I’d like to offer a deeper dive into our findings.
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Corinium
NOVEMBER 18, 2020
Delivering a great CX is among many business leaders' top priorities, but it's hard to know where to devote time and resources to make it happen. To help businesses plan accordingly, Zendesk partnered with ESG Research to build a framework around CX maturity and CX success. The findings for companies based in ANZ and APAC are summarized in our report.
TDAN
NOVEMBER 17, 2020
Top-quality data currently represents one of the most important resources for any company. This is especially true for young businesses that don’t have much experience in their market and that still don’t know enough about their customers. Startups that lack familiarity with important tendencies and trends in their industry need to have this crucial data […].
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
Dataiku
NOVEMBER 4, 2020
The bulk of an organization’s data science, machine learning, and AI conquests come down to improving decision-making capabilities. Teams may aim to achieve new levels of agility, expedite the time to insights, or refine the process leading up to the business value extraction so that it’s more efficient. When during this process, though, should data executives get either predictive or prescriptive?
Smart Data Collective
NOVEMBER 25, 2020
Machine learning is transforming the financial sector more than anybody could have ever predicted. This technology might be more important than ever during the pandemic, as financial institutions discover that many traditional protocols aren’t nearly as effective. One of the most significant changes brought by advances in machine learning is with the loan underwriting process.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Juice Analytics
NOVEMBER 11, 2020
We are makers in our work. Whether designing a marketing campaign, creating a presentation, or building a spreadsheet, information workers spend a lot of time creating stuff. And we want better tools to do all that making. How far have these tools come? In some cases, the complex desktop tools have been replaced by nimble, web-based (and often less feature-rich) options.
Cloudera
NOVEMBER 13, 2020
This is part of our series of blog posts on recent enhancements to Impala. The entire collection is available here. Apache Impala is synonymous with high-performance processing of extremely large datasets, but what if our data isn’t huge? What if our queries are very selective? The reality is that data warehousing contains a large variety of queries both small and large; there are many circumstances where Impala queries small amounts of data; when end users are iterating on a use case, filterin
Domino Data Lab
NOVEMBER 17, 2020
Guest Post by Bill Shannon, Founder and Managing Partner of BioRankings. Introduction. High throughput screening technologies have been developed to measure all the molecules of interest in a sample in a single experiment (e.g., the entire genome, the amounts of metabolites, the composition of the microbiome). These technologies have been described as the ‘universal detection’ of molecules in cells, tissue, or organisms in an unbiased and un-targeted way [1].
erwin
NOVEMBER 13, 2020
The business challenges facing organizations today emphasize the value of enterprise architecture (EA) , so the future of EA is closer than you think. Are you ready for it? See also: What Is Enterprise Architecture? . COVID-19 has forced organizations around the globe to re-examine or reimagine themselves. However, even in “normal times,” business leaders need to understand how to grow, bring new products to market through organic growth or acquisition, identify new trends and opportunities, de
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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?
Smart Data Collective
NOVEMBER 18, 2020
The Data Scientist profession today is often considered to be one of the most promising and lucrative. The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly.
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.
Timo Elliott
NOVEMBER 11, 2020
I have had several requests from people who want to set up some equipment for professional presentations at virtual events—a home or office studio that enables you to present live as if you were a TV weather person: Here’s a list of most of what I use (with some links, mostly to the French Amazon site where I purchased most of it — I live in Paris).
Dataiku
NOVEMBER 11, 2020
In our previous article , we gave an in-depth review on how to explain biases in data. The next step in our fairness journey is to dig into how to detect biased machine learning models.
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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.
Cloudera
NOVEMBER 18, 2020
What a fantastic 24-hours it has been here at Cloudera. During the first-ever virtual broadcast of our annual Data Impact Awards (DIA) ceremony, we had the great pleasure of announcing this year’s finalists and winners. Streamed to hundreds of people around the globe, we were able to come together to celebrate some incredible successes. . In a year marked by unusual events, and disruption to our “normal” lives, it was a pleasure to recognize our customers’ most impressive achievements.
DataCamp
NOVEMBER 17, 2020
Financial institutions can seamlessly integrate digital technologies with data-driven insights.
Smart Data Collective
NOVEMBER 12, 2020
In an age where data plays a fundamental role in every aspect of our lives, it’s relatively simple to find the answers that we need. You can conduct a Google query and you’ll quickly find thousands of helpful webpages, YouTube videos, and blogs dealing with the issue. Big data has made it possible to store information on virtually everything. Unfortunately, the growing reliance on big data hasn’t come without a cost.
Analytics Vidhya
NOVEMBER 26, 2020
Introduction In the last article, I shared a framework to help you answer the question, “Should I become a data scientist (or business analyst)?“ The post How To Have a Career in Data Science (Business Analytics)? appeared first on Analytics Vidhya.
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.
John Wheeler
NOVEMBER 25, 2020
Integrated risk management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. IRM technology product leaders will need to develop IRM capabilities that are capable of addressing the IRM market insights outlined in this blog post. Key Findings. The shift in the IRM buyers from IT leaders to business leaders is being driven by an increasing need to better understand the tactical view of technology risks in a strategic bu
Dataiku
NOVEMBER 17, 2020
In the previous posts in the How They Work (in Plain English!) series, we went through a high-level overview of machine learning and have explored two key categories of supervised learning algorithms — linear and tree-based models — and two key unsupervised learning techniques, clustering and dimensionality reduction. Today we’ll dive into recommendation engines, which can use either supervised or unsupervised learning.
Cloudera
NOVEMBER 10, 2020
Around the world, a number of countries celebrate November 11 as a day to give thanks and recognition for their veterans. Originally designated to honor the end of World War I ( Armistice Day and Remembrance Day ), in some countries it is now used to pay respect to all veterans ( Veterans Day ). . Year after year, we use this time to express our support and appreciation to those who have served in the military.
The Unofficial Google Data Science Blog
NOVEMBER 17, 2020
by TAMAN NARAYAN & SEN ZHAO A data scientist is often in possession of domain knowledge which she cannot easily apply to the structure of the model. On the one hand, basic statistical models (e.g. linear regression, trees) can be too rigid in their functional forms. On the other hand, sophisticated machine learning models are flexible in their form but not easy to control.
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.
Smart Data Collective
NOVEMBER 1, 2020
We’re living in an era of digital switch-over with only one constant – evolve. And that digital transformation is being introduced by high-tech solutions. Hence, it comes as no surprise that mundane business tasks are being completely taken over by tech advancements. Machines, artificial intelligence (AI), and unsupervised learning are reshaping the way businesses vie for a place under the sun.
Analytics Vidhya
NOVEMBER 16, 2020
Introduction Extracting knowledge from the data has always been an important task, especially when we want to make a decision based on data. But. The post Introduction to Clustering in Python for Beginners in Data Science appeared first on Analytics Vidhya.
Insight
NOVEMBER 2, 2020
My Journey to improve Lazy Lantern’s automated time series anomaly detection model Continue reading on Insight ».
Dataiku
NOVEMBER 25, 2020
Total spending on AI-related drug discovery and development tools is expected to hit $1.3 billion in 2022, according to Boston Consulting Group. These are massive numbers and, while true that research and discovery are a key part of the life sciences and pharmaceuticals value chain, data science, machine learning, and AI can play a valuable role across its entirety.
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.
Cloudera
NOVEMBER 19, 2020
November 15-21 marks International Fraud Awareness Week – but for many in government, that’s every week. From bogus benefits claims to fraudulent network activity, fraud in all its forms represents a significant threat to government at all levels. Some experts estimate the U.S. government loses nearly 150 billion dollars due to potential fraud each year, McKinsey & Company reports.
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
NOVEMBER 11, 2020
Internet technology has become far more important than ever before. As our dependence on the Internet grows, it is becoming more important than ever to think about web security. The growing number of data leaks that we see each day is a testament of this. The number of exposed records has increased at an alarming rate. In 2018, over 500 million personal records were exposed with data leaks.
Analytics Vidhya
NOVEMBER 21, 2020
Introduction Let’s put on the eyes of Neural Networks and see what the Convolution Neural Networks see. Photo by David Travis on Unsplash Pre-requisites:-. The post Tutorial — How to visualize Feature Maps directly from CNN layers appeared first on Analytics Vidhya.
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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.
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