Sat.Dec 21, 2019 - Fri.Dec 27, 2019

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What is a Data Scientist Worth?

KDnuggets

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.

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Take your Machine Learning Models to Production with these 5 simple steps

MLWhiz

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.

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“If you are explaining, you are losing”

Juice Analytics

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.

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Business Security Meets Open Source Code: Managing Software Vulnerabilities

Smart Data Collective

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.

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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5 Weird and Hilarious Uses of Data Science

Analytics Vidhya

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.

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10 Best and Free Machine Learning Courses, Online

KDnuggets

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.

More Trending

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How to Calculate Year-Over-Year Growth

Sisense

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.

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2019 In-Review and Trends for 2020 – A Technical Overview of Machine Learning and Deep Learning!

Analytics Vidhya

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.

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Random Forest vs Neural Networks for Predicting Customer Churn

KDnuggets

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

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Top 10 Types of Report: Examples and How to Design

FineReport

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.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌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.

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Domo vs. Tableau: Self-service analytics tools compared

CIO Business Intelligence

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.

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Using Gradient Boosting for Time Series prediction tasks

MLWhiz

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.

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How To “Ultralearn” Data Science: deep understanding and experimentation, Part 4

KDnuggets

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.

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IDC: FanRuan ranks No.1 in China’s BI market share in H1 2019

FineReport

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%.

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Marketing Operations in 2025: A New Framework for Success

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.

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Sign the new AI Manifesto

Data Science 101

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.

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Deriving Value from Data Lakes with AI

Sisense

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?

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Market Basket Analysis: A Tutorial

KDnuggets

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

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Choosing the Reporting Tools: 5 Things You Need To Know

FineReport

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?

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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Cloud Data Science News – Beta 8

Data Science 101

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.

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2019 Highlights in Metadata Management

Octopai

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.

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KDnuggets Cartoon in an English textbook?

KDnuggets

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.

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Top 4 NetSuite Reporting Challenges and How to Address Them

Jet Global

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.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

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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Cloud Data Science News in 60, Beta 7

Data Science 101

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!

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How Machine Learning And Contract Management Go Together

Smart Data Collective

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.

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Fighting Overfitting in Deep Learning

KDnuggets

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

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Top Guide of German Shepherd

BizAcuity

The Unexposed Secret of German Shepherd. If you’re a jogger, a German shepherd may be great running companion. German Shepherds can live up to 13 years, so whatever you decide to call them, they’re susceptible to be in existence for the short time. Consequently , if you’re likely to obtain a German Shepherd, you’re not upon it’s own!

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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3 Mistakes you should not make in a Data Science Interview

MLWhiz

People ask me a lot about how to land a data science job? Or how to switch careers or how to study for a job interview? Mostly my answer is to do some MOOCs, create some projects, participate in Kaggle, try to get in a startup and don’t give up. But yet there are some things everyone should understand about data science jobs. Data science jobs involve a lot of to and fro communication and involve a lot of people handling skills.

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Why Digital Adoption Rests On Understanding Employee Data

Smart Data Collective

Digital transformation is one of the biggest challenges facing enterprises today. In a rapidly changing market, many organizations are struggling to keep up with the pace of business. All too often, companies find themselves facing an extremely complex situation which they’re not sure how to resolve: They need to introduce new digital tools in order to raise productivity and keep their company competitive, but those very tools are undermining productivity among their employees.

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What is Data Catalog and Why You Should Care?

KDnuggets

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

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Case Study – Implementation of Augmented Analytics Solution for Leading Insurance Company in India

Smarten

This Client is one of the fastest growing life insurance companies in India and offers a diverse range of wealth management, protection and retirement solutions. The Smarten team provided dedicated services and support to understand their functional requirements, and to design and implement a centralized data warehouse, ETL, and front-end object development.

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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.