KDnuggets

DECEMBER 23, 2019

What is the Salary of a Data Scientist in 2019? Let's have a look at some data to see how we can answer that question.

Data Science 149

Data Science 149

MLWhiz

DECEMBER 24, 2019

Creating a great machine learning system is an art. There are a lot of things to consider while building a great machine learning system. But often it happens that we as data scientists only worry about certain parts of the project. But do we ever think about how we will deploy our models once we have them? I have seen a lot of ML projects, and a lot of them are doomed to fail as they don’t have a set plan for production from the onset.

Machine Learning 52

Machine Learning Modeling IT 52

Juice Analytics

DECEMBER 23, 2019

The title comes from Ronald Reagan, sometimes known as “The Great Communicator.” If he knew anything, he knew that simplicity was foundational when reaching a broad audience. That doesn’t stop people from finding ways to overcomplicate their data visualizations. Take this example from The Data Viz Catalogue. It is called a Radial Bar Chart. Radial Bar Chart.

Visualization 121

Visualization Statistics Data-driven Metrics 121

Smart Data Collective

DECEMBER 23, 2019

Years ago, when we talked about open source code, we were talking about something that was really only relevant to classic computer geeks – the ones running their computers on Unix and swapping bits of code on message boards. Times have changed, though, and now open source code is an integral part of how most businesses and just about anyone in the software world does their work.

Software 56

Software Management Predictive Analytics Risk 56

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

Optimization

Analytics Vidhya

DECEMBER 26, 2019

Introduction “Ripley’s Believe or Not” features some of the weirdest and most bizarre facts from around the world. How about creating our own Ripley’s. The post 5 Weird and Hilarious Uses of Data Science appeared first on Analytics Vidhya.

Data Science 400

Data Science Analytics Recreation/Entertainment Deep Learning 400

KDnuggets

DECEMBER 26, 2019

Getting ready to leap into the world of Data Science? Consider these top machine learning courses curated by experts to help you learn and thrive in this exciting field.

Machine Learning 160

Machine Learning Data Science Deep Learning 160

FineReport

DECEMBER 24, 2019

Why We Need Data Visualization?. If you want to be a data analyst , mastering data visualization skills is essential, cause in most cases, the boss cares more about the results presented. In addition, when these visualization results are presented in front of your eyes, you can intuitively experience the “beauty of data” Pictures are far better than words in terms of content expression.

Visualization 105

Visualization Interactive Data-driven Dashboards 105

Analytics Vidhya

DECEMBER 22, 2019

Overview A comprehensive look at the top machine learning highlights from 2019, including an exhaustive dive into NLP frameworks Check out the machine learning. The post 2019 In-Review and Trends for 2020 – A Technical Overview of Machine Learning and Deep Learning! appeared first on Analytics Vidhya.

Deep Learning 208

Deep Learning Machine Learning Analytics Data Science 208

KDnuggets

DECEMBER 26, 2019

Let us see how random forest competes with neural networks for solving a real world business problem.

Customer Analytics 160

Customer Analytics Analytics 160

CIO Business Intelligence

DECEMBER 24, 2019

Business intelligence (BI) and analytics platforms have long been a staple for business, but thanks to the rise of self-service BI tools, responsibility for analytics has shifted from IT to business analysts, with support from data scientists and database administrators.

Analytics 100

Analytics Business Intelligence IT 100

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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?

Business Intelligence

FineReport

DECEMBER 25, 2019

Reports are the basic business requirements of an enterprise. It can help enterprises make better use of data if different data can be presented by appropriate reports. This article will introduce the top 10 types of reports , with the reporting examples and process of reports designing, to help you choose the right report to support your decision. 1.Top 10 Types of Report. 1.1 Detail Report.

Reporting 98

Reporting Metrics ROI KPI 98

Sisense

DECEMBER 27, 2019

Blog. Everyone wants to get more out of their data, but how exactly to do that can leave you scratching your head. Our BI Best Practices demystify the analytics world and empower you with actionable how-to guidance. What is YOY Growth? How to Calculate YOY? Real-World Examples. Your business tracks so much data that it can be easy to get caught up in the smaller picture and miss the bigger view.

KPI 96

KPI Measurement Metrics Key Performance Indicator 96

KDnuggets

DECEMBER 24, 2019

This article is about Market Basket Analysis & the Apriori algorithm that works behind it.

Marketing 159

Marketing Data mining IT 159

MLWhiz

DECEMBER 27, 2019

Time series prediction problems are pretty frequent in the retail domain. Companies like Walmart and Target need to keep track of how much product should be shipped from Distribution Centres to stores. Even a small improvement in such a demand forecasting system can help save a lot of dollars in term of workforce management, inventory cost and out of stock loss.

Forecasting 88

Forecasting Management IT 88

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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.

Data-driven

FineReport

DECEMBER 23, 2019

According to IDC Semiannual Software Tracker for the First Half of 2019, China’s business intelligence software market size was $ 210 million in the first half of 2019, with a year-on-year increase of 24.6%. IDC predicts that the size of China’s business intelligence software market in 2019 will be USD 550 million, with a year-on-year increase of 26.2%.

Marketing 95

Marketing Business Intelligence Manufacturing Software 95

Data Science 101

DECEMBER 21, 2019

Much like the Agile Manifesto for Software Development, a new AI Manifesto has emerged from David “Gonzo” Gonzalez & Ben Taylor. It is currently open for signatures, so please go sign. AI Manifesto.

Software 87

Software IT Data Science 87

KDnuggets

DECEMBER 27, 2019

In this fourth and final part of the ultralearning data science series, it's time to take the final steps toward developing a deep understanding of the fundamentals and learning how to experiment -- the two aspects that are the ultimate keys to ultralearning.

Experimentation 122

Experimentation Data Science IT 122

Sisense

DECEMBER 23, 2019

Blog. Artificial Intelligence and machine learning are the future of every industry, especially data and analytics. In Growing Up with AI , we help you keep up with all the ways this pioneering technology is changing the world. Use AI to tackle huge datasets. Let’s talk about AI and machine learning (ML). Does your company actually have the tools and processes to use these innovations?

Data Lake 86

Data Lake Machine Learning Data Warehouse Digital Transformation 86

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.

Marketing

FineReport

DECEMBER 22, 2019

You may have viewed many articles or reviews about reporting tools lists or open-source reporting tools. Have you decided which to choose among these? Do you feel confused, which is best for you? Before you decided, please ask yourself, do you know the answers to the following questions? What are the reporting tools? What types of reporting tools do you need?

Reporting 90

Reporting OLAP Dashboards Software 90

Data Science 101

DECEMBER 27, 2019

It is the days between Christmas and New Years, so the there is not much news to share. Here are the few bits of information I could find. News. AWS Deep Learning Containers now support Tensorflow 2.0 AWS Deep Learning Containers are docker images which are preconfigured for deep learning tasks. Now they support Tensorflow 2.0. Videos. An intro to Azure FarmBeats An innovative idea to bring data science to farmers.

Data Science 86

Data Science Deep Learning Data-driven IT 86

KDnuggets

DECEMBER 27, 2019

This post outlines an attack plan for fighting overfitting in neural networks.

Deep Learning 121

Deep Learning 121

DataRobot

DECEMBER 23, 2019

Following the success of AI Experience London earlier in the year and in response to customer demand, we decided to extend the roadshow to other European cities. We held inaugural AI Experience events in Stockholm, Paris, and Madrid, attracting more than 300 attendees. Participants were highly engaged, evidently eager to start new AI projects or increase their capabilities.

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15

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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.

Reporting

Octopai

DECEMBER 22, 2019

As 2019 comes to a close, we think it’s the perfect time to review trends in metadata management as well as look at some of Octopai’s own highlights. What a flashback to see all that we’ve achieved this year in data governance, risk and compliance, data analysis and reporting. Metadata is everywhere and its success depends on deploying the right resources for its management.

Metadata 72

Metadata Management OLAP Data Governance 72

Data Science 101

DECEMBER 24, 2019

It’s Christmas week, but there has been some data science news recently. You can see all the details at Cloud Data Science News, Beta 7 or you can watch the 60 second video. Thanks for watching and Merry Christmas!

Data Science 86

Data Science IT 86

KDnuggets

DECEMBER 24, 2019

KDnuggets is not only for learning about AI, Data Science, and Machine Learning. A KDnuggets cartoon has been included in an English language and culture textbook for French high-school students.

Machine Learning 99

Machine Learning Data Science 99

Smart Data Collective

DECEMBER 23, 2019

Last year, Harvard Business Review published a great article on the ways that AI are changing contract management. Author Beverly Rich has said that AI and machine learning will be integral to contracts in the 21 st Century. Rich said that there are some challenges to utilizing AI for contracts. The biggest issue is that the majority of companies don’t retain data on their contracts.

Machine Learning 67

Machine Learning Management ROI Risk 67

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.

Business Intelligence

Jet Global

DECEMBER 23, 2019

Not everyone knows that NetSuite was the world’s first cloud company. As far back as 1998, they were pioneering the software as a service (SaaS) revolution that now dominates today’s tech landscape. Since NetSuite is both an early innovator and a continual industry leader, it’s not surprising that over 18,000 companies located in more than 200 countries and territories rely on this ERP solution to manage their enterprise data.

Reporting 64

Reporting Data Collection Operational Reporting Optimization 64

Teradata

DECEMBER 22, 2019

Machine Learning algorithms help computers understand human languages. Learn how this application in Vantage enables businesses to understand their customers.

Machine Learning 12

Machine Learning 12

KDnuggets

DECEMBER 23, 2019

Learn why data catalogs could be just the thing you need to meet the challenges of data and metadata management and collaboration.

Metadata 88

Metadata Management Data Governance 88

Dataiku

DECEMBER 26, 2019

There’s no question that open source technologies are state-of-the-art and a critical piece of an effective AI strategy. But how does open source get built, and more importantly, with a community of contributors, how do they ensure integrity in their software? Get the answers from The Banana Data Podcast featuring special guest Andreas Mueller, a core contributor of Scikit-learn.

Strategy 11

Strategy Software Technology 11

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.

Data-driven