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P Value vs Critical Value

P-values and critical values are so similar that they are often confused. They both do the same thing: enable you to support or reject the null hypothesis in a test. But they differ in how you get to make that decision. In other words, they are two different approaches to the same result. This picture sums up the p value vs critical value approaches.…


Added by Stephanie Glen on July 26, 2020 at 7:42am — No Comments

Blockdrop to Accelerate Neural Network training by IBM Research

Scaling AI with Dynamic Inference Paths in Neural Networks


IBM Research, with the help of the University of Texas Austin and the University of Maryland, has tried to expedite the performance of neural networks by creating technology, called BlockDrop. Behind the design of this technology lies the objective and promise of speeding up convolutional neural network operations without…


Added by Sharmistha Chatterjee on July 26, 2020 at 7:30am — No Comments

Traditional vs Deep Learning Algorithms used in BlockChain in Retail Industry

Use of SecureSVM, Boosting, Bagging, Clustering, LSTM, CNN, GAN in Retail with BlockChain


This blog highlights different ML algorithms used in blockchain transactions with a special emphasis on bitcoins in retail payments. This blog is structured as follows:

  • Overview of the role of blockchain in the retail industry.
  • Different traditional…

Added by Sharmistha Chatterjee on July 26, 2020 at 7:22am — No Comments

Anomaly Detection from Head and Abdominal Fetal ECG — A Case study of IOT anomaly detection using Generative Adversarial Networks

Anomaly Detection from Head and Abdominal Fetal ECG — A Case study of IOT anomaly detection using Generative Adversarial Networks

Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal…


Added by Sharmistha Chatterjee on July 26, 2020 at 7:14am — No Comments

ARIMA/SARIMA vs LSTM with Ensemble learning Insights for Time Series Data


There are five types of traditional time series models most commonly used in epidemic time series forecasting, which includes

  • Autoregressive (AR),
  • Moving Average (MA),
  • Autoregressive Moving Average (ARMA),
  • Autoregressive Integrated Moving Average (ARIMA), and
  • Seasonal Autoregressive Integrated Moving Average (SARIMA) models.

AR models express the current value of the time series linearly in…


Added by Sharmistha Chatterjee on July 26, 2020 at 7:09am — No Comments

Free SAS, Data Analytics and Statistics Tutorials

SAS Tutorials on 9to5sas are designed for SAS programmers, Data Scientist, Data Analyst, and all the readers who want to learn SAS and need to transform raw data to produce insights for business decisions using SAS.

Why SAS?

Being SAS Professional I can tell you why SAS. I would say, its bit tiny subject however very Unique, competitive and leading within the analytics world. SAS is the main statistic tool certified by the FDA,…


Added by Subhro Kar on July 25, 2020 at 8:30am — No Comments

How AI Is Taking On COVID-19?


Coronavirus pandemic is stretching the healthcare operational resources to an immense extent. During such a brief duration of time, COVID—19 has become one of the biggest challenges that humanity has to face in the twenty-first-century world. Many complications surround this pandemic regarding the …


Added by Naveen Chandra Joshi on July 24, 2020 at 5:41am — No Comments

Traditional vs Deep Learning Algorithms in the Telecom Industry

Traditional vs Deep Learning Algorithms in the Telecom Industry — Cloud Architecture and Algorithm Categorization

Google Cloud Architecture for Machine Learning Algorithms in the Telecom Industry


The unprecedented growth of mobile devices, applications, and services have placed the utmost demand on mobile and wireless networking infrastructure. Rapid research…


Added by Sharmistha Chatterjee on July 23, 2020 at 8:26pm — No Comments

Thursday News, July 23

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



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…


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…


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…


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

Supply Chain Analytics Need to Be Smarter

Mike Romeri, CEO


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…


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…


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


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…


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


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…


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…


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 “…


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…


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,…


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

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