Friday, December 13, 2019
Business Intelligence and Analytics 42
1 6 Success Factors For An Oil And Gas Data Consortium
https://www.woodmac.com/news/feature/6-success-factors-for-an-oil-and-gas-data-consortium/
From the outset, it’s vital to bring in an independent third party. That way, consortium members can rest assured the analytics are statistically sound and prepared without bias.
2 What is the CRISP-DM methodology?
https://www.sv-europe.com/crisp-dm-methodology/
CRISP-DM stands for cross-industry process for data mining. The CRISP-DM methodology provides a structured approach to planning a data mining project. It is a robust and well-proven methodology. We do not claim any ownership over it. We did not invent it. We are however evangelists of its powerful practicality, its flexibility and its usefulness when using analytics to solve thorny business issues. It is the golden thread than runs through almost every client engagement. The CRISP-DM model is shown on the right.
3 Case Study: Comparison of Los Angeles and New York Airbnb listings and trends using CRISP-DM
https://feedly.com/i/entry/pC8eyprOu8BZHgA6hwFmQZIQlJUhxSGSyzTSLmmNQSw=_16effbdf217:3241b2:a02fd466
So, you can put together an elegant database query, have mastered the latest machine learning algorithms, are fluent in multitude of statistical techniques, have no problems with distributed computing on massive data sets, write production worthy code in your sleep, and even took a course or two on data visualization and can put together a cool looking presentation.
4 Introduction to Forecasting with ARIMA in R – Lessons in Data Science
https://datasciencelessons.com/2019/12/13/introduction-to-forecasting-with-arima-in-r/
If you’re not using XTS objects to perform your forecasting in R, then you are likely missing out! The major benefits that we’ll explore throughout is that these objects are a lot easier to work with when it comes to modeling, forecasting, & visualization.
5 Big Data: What Is It and How Does It Work?
https://www.business2community.com/big-data/big-data-what-is-it-and-how-does-it-work-02265540
More and more data is being created every day. We are storing more information for each person, and we are even starting to store more information from devices, too. Internet of Things is not something imaginary and really soon even your coffee machine will be tracking your coffee drinking habits and storing them on the cloud. The term Big Data first appeared in the 60’s, but it is taking on a new importance nowadays.
6 Be a Data Science Prefect with these Projects
https://feedly.com/i/entry/pC8eyprOu8BZHgA6hwFmQZIQlJUhxSGSyzTSLmmNQSw=_16effb380bb:26728:d0c89438
If you’re an aspiring Data Scientist or looking for a shift to a Data Science career, you’ll most likely be looking to whetting your skills collecting, cleaning and analysing data to answer a variety of challenging business questions and these projects are gonna help you in the same. I have listed below 3 Data Science projects that you can do in 3 weeks.
7 Let’s talk about the top technologies, trends or predictions
https://feedly.com/i/entry/pC8eyprOu8BZHgA6hwFmQZIQlJUhxSGSyzTSLmmNQSw=_16efaa83f7a:c144e:d0c89438
Software engineering is a massive field that has a lot of scope and potential. Many engineers wish to enter the field of software engineering simply because they know the industry will never die. There is a lot happening in the software industry and a lot more seems likely to happen in 2020. So, if you are either planning to enter the world of software or if you wish to speed up your career, then you should focus on the latest happenings. In this article, we will talk about the top software engineering trends of 2020.
8 Using data to create better lead-generating emails
https://www.smartinsights.com/digital-marketing-strategy/using-data-to-create-better-lead-generating-emails/
When these hyper-personalized emails miss the mark, they aren’t just ineffective, they’re downright unsettling. According to a RichRelevance study, despite mostly enjoying personalized experiences from brands, up to 75% of US consumersdeemed most forms of personalized business communications “at least somewhat creepy.”
9 9 Ways to Increase Landing Page Conversions
https://marketinginsidergroup.com/demand-generation/9-ways-to-increase-landing-page-conversions/
Many companies implement an SEO strategy – experiencing varying degrees of success, it’s clear the benefits of SEO are worth your company’s time. SEO is a great concept and useful in achieving a goal. The objective, like many other business activities, is to convert leads into sales.
10 Referral Marketing Strategies to Try in 2020
https://www.business2community.com/marketing/referral-marketing-strategies-to-try-in-2020-02265967
As marketers start to plan for the coming year, there are a few key referral marketing strategies and notable social media trends to consider. How are you leveraging the power of word-of-mouth with your customers? Are you running multiple programs, like affiliate and influencer campaigns? Are you using new platforms like Tik-Tok? Are you engaging partners to expand your reach?
11 The imperative to automate business processes
https://www.mckinsey.com/business-functions/operations/our-insights/the-automation-imperative
Organizations in every region and industry are automating at least some business processes, yet only a slight majority have succeeded at meeting their targets, according to a new McKinsey Global Survey on the topic.
12 5 Great New Features in Latest Scikit-learn Release
https://www.kdnuggets.com/2019/12/5-features-scikit-learn-release-highlights.html
The latest release of Python’s workhorse machine learning library includes a number of new features and bug fixes. You can find a full accounting of these changes from the official Scikit-learn 0.22 release highlights, and can read find the change log here.
13 A journey from basic prototype to production-ready Shiny dashboard
https://www.r-bloggers.com/a-journey-from-basic-prototype-to-production-ready-shiny-dashboard/
As web dashboards have become the norm for interacting with data, looks and added functionality have taken a more prominent role. Dashboard users expect the typical look and feel and interactivity they get when surfing the web. To help fill the gap between data scientists and developers, packages that simplify and streamline the dashboard creation process have become more important as part of the dashboard creation workflow.
14 Challenges Faced by a Data Scientist and How to Overcome Them?
https://www.datasciencecentral.com/profiles/blogs/challenges-faced-by-a-data-scientist-and-how-to-overcome-them
Data Scientist is regarded as the sexiest job of the 21st century. It is a high paying lucrative jobs which comes with a lot of responsibility and commitment. Any professional needs to master state-of-the-art skills and technologies to become a Data Scientist in the modern world. It is a profession where people from different disciplines could fit in as there are a plethora of specialties embedded in a Data Scientist role.
15 Reinforcement Learning to Reduce Building Energy Consumption
https://www.datasciencecentral.com/profiles/blogs/reinforcement-learning-to-reduce-building-energy-consumption
Heating, ventilation, and air conditioning of buildings accounts alone for nearly 40% of the global energy demand [1].
The need for Energy Savings has become increasily foundamental to fight Climate Change. We have been working on a cloud-based RL algorithm that can retrofit existing HVAC controls to obtain substantial results.
