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Thursday News, July 23

Here is our selection of featured technical resources and articles posted since Monday:

Resources

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Added by Vincent Granville on July 23, 2020 at 1:30pm — No Comments

Statistical Distributions in One Picture

I can't find anymore where this chart, featuring relations between distributions, was first published. I remember seeing it on the Cloudera blog.

Another shorter one featuring the most useful one for statistical analysis, can be found…

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Added by Capri Granville on July 23, 2020 at 1:00pm — 2 Comments

8 Most-Used Data Science and Machine Learning Services for 2020

In the era of the Internet, the ability to crunch large amounts of data and process it with speed and efficiency has become essential for businesses to survive. But you try sitting down and going through all that data by hand: you'll get done sometime in the year 2050 if you're lucky.

That's where machine learning comes to the rescue. But…

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Added by Or Hillel on July 22, 2020 at 9:59pm — No Comments

Why we need more Bayesian trained data scientists than frequentist post COVID 19 ..

Earlier this week, I was speaking at an event on AI for Real Estate where I showed an example from a BBC clip which said that “central London is now a ghost town” (due to COVID 19)

A few months ago, this headline would have been laughable

In London, central London and the London underground are a key fabric of daily…

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Added by ajit jaokar on July 22, 2020 at 2:00pm — No Comments

Supply Chain Analytics Need to Be Smarter

Mike Romeri, CEO

Analytics2Go

During the current COVID-19 pandemic, virtually all companies have faced significant changes in demand.  Some companies have seen significant increases (e.g., grocery chains, packaged food companies), and others have seen their revenue drop to unsustainable levels (e.g., air travel, hospitality, automotive). Still others have seen both outcomes if they serve different industry segments with very different levels of end-user demand.

While the…

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Added by Betsy Romeri on July 21, 2020 at 5:22am — No Comments

Fitting Human IQ into AI - Where and When It's a Win-Win

There is much talk of AI automation of many critical business processes over the next decade as the technology matures. Management and workers throughout organizations are wondering, “Where does that leave me and my job?” With so much focus on the technology of artificial intelligence, the question of human/machine working relationships and learn- ing has received relatively short…

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Added by Betsy Romeri on July 21, 2020 at 4:30am — No Comments

5 meaningful ways to improve the adoption of data science in your organization

Overview:

This post is about improving the effectiveness of the data science team and improving collaboration between data scientists and stakeholders for better outcomes.  

Aligning goals:

Regardless of the specific project, agreeing on the expected outcomes and goals before beginning the work is a best practice. But with the advent of machine learning (ML) models, it’s for both sides to discuss the critical measures of success for the…

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Added by Ram Alagianambi on July 20, 2020 at 9:00pm — No Comments

5 common causes of friction between data scientists and the rest of the stakeholders

Overview:

As a data scientist, have you ever been frustrated that your stakeholders don’t see the value that you bring to the table? You may ask yourself, “How far should I go in explaining the work I do or what my models are doing?” If that sounds like you, then pay close attention to this post and the next, as they are all about improving collaboration between data scientists and other stakeholders. 

 

This is a two-part post: This article…

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Added by Ram Alagianambi on July 20, 2020 at 8:30pm — No Comments

Reinforcement Learning Starts to Deliver on Its Promise

Summary:  Advances in very low cost compute and Model Based Reinforcement Learning make this modeling technique that much closer to adoption in the practical world.

 

We keep asking if this is the year for reinforcement learning (RL) to finally make good on its many promises.  Like flying cars and jet packs the…

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Added by William Vorhies on July 20, 2020 at 12:30pm — No Comments

6 Steps to Get the Best Out of Your RPA Implementation

Over the last couple of years, there has been a lot of hype around robotic process automation. This makes a lot of sense if you consider that in 2018 Gartner was already labeling it “…

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Added by Daniel Pullen on July 20, 2020 at 4:30am — No Comments

Weekly Digest, July 20

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this…

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Added by Vincent Granville on July 19, 2020 at 4:00pm — No Comments

Overview on Forecasting Models in Power BI

Time Series forecasting in PBI is based on the thumb technique of smoothening time series prediction called Exponential Smoothening (ES). ES of time series data assigns exponentially decreasing weights for newest to oldest observations. ES is also be used for time series with trend and seasonality. This model is usually used to make short term forecasts, as longer-term forecasts using this technique can be quite unreliable. Collectively, the methods are sometimes referred to as ETS models,…

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Added by Vigneswaran S on July 19, 2020 at 1:01am — No Comments

Learn Blockchain to Gain A Rewarding Career

Blockchain technology is the talk of the techno-world. The technology is booming at a faster rate and is promising for almost all industries as it conforms trust relations in the techno-world. Blockchain builds a trusted network through its encryption algorithms and accounts for controllable permissions, provenance, transactions, smart contracts, and many applications.…

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Added by Aileen Scott on July 16, 2020 at 7:00pm — No Comments

Thursday News, July 16

Here is our selection of featured articles and technical resources posted since Monday:

Resources

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Added by Vincent Granville on July 16, 2020 at 12:30pm — No Comments

Transforming Day-to-Day Decisions in the Enterprise

My views on how to effectively align daily decisions to business objectives…



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Added by Hadley Christoffels on July 16, 2020 at 8:00am — No Comments

How to approach the study of algorithms?

 

I have been reading a book recently about algorithms in the wider sense

(40 algorithms every programmer should know -book and github link below)

 

I spend a lot of time with algorithms considering my teaching (AI at University of Oxford).

For Machine Learning and Deep Learning, we need to study a…

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Added by ajit jaokar on July 16, 2020 at 3:30am — No Comments

ANOVA vs Regression in One Picture

If you scour the internet for "ANOVA vs Regression", you might be confused by the results. Are they the same? Or aren't they? The answer is that they can be the same procedure, if you set them up to be that way. But there are differences between the two methods. This one picture sums up those differences.

References…

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Added by Stephanie Glen on July 15, 2020 at 12:13pm — No Comments

Quantum Neural Net, an Oxymoron

oxymoron

Venn diagram showing overlap between "quantum" and "neural network"

The term "quantum neural networks" is being used with increasing frequency by the quantum computing community. Maybe as a dishonest, bait-and-switch advertising strategy, this makes sense. However, from a scientific standpoint, "quantum neural network" is a very poor name choice for what is being alluded to here.

Artificial Neural Networks, often called "Neural Nets" for short, are supposed to…

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Added by Robert R. Tucci on July 15, 2020 at 4:30am — No Comments

How Much Does It Cost to Build a Marketplace in 2020?

I want to share with you my article about marketplaces. If you are interested in creating one or want to improve your existing marketplace you might be interested in this information. I worked with SPD Group experts to give you the latest information on the subject! 

To get the most revenue out of your effort, it is important to pick…

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Added by Roman Chuprina on July 14, 2020 at 6:00am — No Comments

Building an Intelligent QA System With NLP and Milvus

Milvus Project: github.com/milvus-io/milvus

The question answering system is commonly used in the field of natural language processing. It is used to answer questions in the form of natural language and has a wide range of applications. Typical applications include intelligent voice interaction, online customer service,…

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Added by Kate Shao on July 13, 2020 at 11:07pm — No Comments

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