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Weekly Digest, August 10

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 link.  

Featured Resources and…

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Added by Vincent Granville on August 9, 2020 at 2:30pm — No Comments

Create Transformed, N-Dimensional Polygons with Covariance Matrix

The covariance matrix has many interesting properties, and it can be found in mixture models, component analysis, Kalman filters, and more. Developing an intuition for how the covariance matrix operates is useful in understanding its practical implications. This article will focus on a few important properties, associated proofs, and then some interesting practical applications, i.e., extracting transformed polygons from a Gaussian mixture's covariance matrix.

I have often found that…

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Added by Vincent Granville on August 8, 2020 at 3:30pm — No Comments

Pricing Options Using Monte Carlo Simulations

Summary

  • Monte Carlo simulation is one of the most important algorithms in quantitative finance
  • Monte Carlo simulation can be utilized as an alternative tool to price…
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Added by Kevin Mekulu on August 8, 2020 at 1:30am — No Comments

Causal Reinforcement Learning under Bareinboim at Columbia Univ.

Elias Bareinboim

I recently wrote a popular article on Causal AI. Note that Causal AI is almost exclusively the province of Bayesian networks (bnets), not of their more puny brethren, neural networks (NNs). Indeed, Causal AI is based on Judea Pearl's theory of causality which is expressed via bnets, not NNs.

Something that I didn't mention in my…

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Added by Robert R. Tucci on August 7, 2020 at 3:00am — No Comments

Sentiment Analysis using Deep Learning

Introduction

The growth of the internet due to social networks such as facebook, twitter, Linkedin,  instagram etc. has led to significant users interaction and has empowered users to express their opinions about products, services, events, their preferences among others. It has also provided opportunities to the users to share their wisdom and experiences with each other. The faster development of social networks is causing explosive growth of digital content. It has…

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Added by Kamal Jain on August 7, 2020 at 12:30am — No Comments

Top Career Options That Survived the Coronavirus Impact

The global economy has fallen apart due to the COVID-19 impact. Millions of people have lost jobs across the world. The outbreak has not only impacted the economy but job security as well. This will have a long-term effect.

But the COVID-19 crisis has also made us realize the significance or working remotely. While we have seen massive job losses, few industries have been spared. Moreover, as remote working becomes the new normal, it is an ideal time to explore the job opportunities…

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Added by Aileen Scott on August 6, 2020 at 8:01pm — No Comments

Thursday News, August 6

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

Resources

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Added by Vincent Granville on August 6, 2020 at 11:30am — No Comments

How Blockchain Technology Is Improving The Developments In IoT?

Both IoT and blockchain are the top technologies that the world cannot have enough of. They are triggering global curiosity and we are willing to explore it. Today in this blog we would be unfolding the different ways in which the Internet of Things is being enhanced by the introduction of blockchain. So what are you waiting for? Let us began our…

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Added by James Smith on August 6, 2020 at 1:44am — No Comments

For what reason Probability Important to Machine Learning?

Machine learning is tied in with creating predictive models from uncertain data. Uncertainty implies working with imperfect or fragmented information.

In any case, we can oversee uncertainty utilizing the tools of probability.…

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Added by saurav singla on August 6, 2020 at 1:30am — No Comments

How Can Machine Learning Revamp Your Mobile App?

In the past few years, Machine Learning has rapidly changed our lives with its efficient applications. Thi technology has given an uplift to the entire mobile industry. Making devices and mobile apps as intelligent as humans, machine learning is…

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Added by Varun Bhagat on August 5, 2020 at 10:19pm — No Comments

How to Invest in the Data Analytics Universe

Just about every company worth its salt today uses data and analytics to better understand their customers and better meet their needs.  For some companies, such as Google, Amazon and others, data science is the very foundation of their business model - but these companies use data analytics in service of their broader core mission.  The universe of public companies that actually provide data and analytics solutions is far smaller and harder to define, but includes industry behemoths such as…

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Added by Gregory Thompson on August 5, 2020 at 2:30pm — No Comments

The Data Analytics Sector in a Post-COVID World – Ripe for Consolidation

The number of companies that have emerged in the data analytics space over the past decade or so has been enormous.  Some have done extremely well and become unicorns with sky high valuations, while others have crashed and burned.  The universe has seen the emergence of a group of integrated enterprise vendors (Salesforce, Oracle, Adobe, IBM etc.) and a large number of relatively small point solutions.  This universe is now reaching critical mass and the market is likely to enter a new…
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Added by Gregory Thompson on August 5, 2020 at 2:06pm — No Comments

Why you Should take up a Data Analytics Certification

That data analytics is big is not in dispute. Global revenues for big data software and services are expected to grow from USD 42 billion in 2018 to USD 103 billion in 2027, at a CAGR of 10.48%. And in the United States itself, by 2020, about 2.7 million job postings for data analytics and data science are expected. 

Data inflows into companies are…

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Added by Aileen Scott on August 4, 2020 at 10:21pm — No Comments

Artificial Intelligence in Healthcare

Introduction

Artificial intelligence refers to simulating the behavior of humans, so that machines can be programmed to perform intelligent behavior and mimic human actions. It is a branch of computer science dealing with building smart machines which can perform actions, typically needing human intelligence. With the availability of huge data, faster computation power, and technology advancement in machine learning and deep learning is providing a paradigm shift in…

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Added by Kamal Jain on August 4, 2020 at 2:30am — 1 Comment

The Census Bureau Says Less Than 9% of US Companies are Using AI! Really?

Summary:  Less than 9%?  What this study really shows and what we should take away from it.

 

Wow.  Less than 9%!  Can this be true?  Well according to a large scale survey study conducted by the US Census Bureau it’s actually a…

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Added by William Vorhies on August 3, 2020 at 1:00pm — No Comments

Weekly Digest, August 3

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 link.  

Announcements…

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Added by Vincent Granville on August 2, 2020 at 1:30pm — No Comments

Feature engine python package for feature engineering

 

In this post, we explore a new python package for feature engineering

 

Feature engineering is the process of using domain knowledge of the data to transform existing features or to create new variables from existing ones, for use in machine learning. Using feature engineering, we can pre-process raw data and make it suitable…

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Added by ajit jaokar on August 1, 2020 at 5:52am — No Comments

Top 6 Essential Skills for Data Scientists

This article was written by Ronald Van Loon.

Ronald lists the 6 following skills:

  • Programming - Python, Perl, R, C/C++, SQL, and Java 
  • Knowledge of SaS and Other Analytical Tools - Hadoop, Spark,…
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Added by Andrea Manero-Bastin on August 1, 2020 at 4:00am — No Comments

Prion Computer Viruses For China, With Love



Check out: When China Sees All, Chinese AI Is Creating an Axis of Autocracy, by Ross Andersen (The Atlantic, Sept 2020 print edition) And…

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Added by Robert R. Tucci on July 31, 2020 at 1:06pm — No Comments

Calculus For Data Science: What Do You Really Need to Know?

This one picture shows what areas of calculus and linear algebra are most useful for data scientists.

If you read any article worth its salt on the topic Math Needed for Data Science, you'll see calculus mentioned. Calculus (and it's closely related counterpart, linear algebra) has some very narrow (but very useful) applications to data science. If you have a decent algebra background (which I'm assuming you do, if you're a data scientist!) then you can learn…

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Added by Stephanie Glen on July 31, 2020 at 9:09am — 1 Comment

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