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Apply recommender system using Spark SVD and Amazon SageMaker

Recommender systems are applied in a variety of industries such as e-commerce, streaming services and others. There are two major techniques used in Recommender systems,  collaborative filtering and Content-based filtering. This article presents five  “Jupyter” NoteBooks which construct a large scale recommender…

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Added by leonardo mattes on August 12, 2019 at 4:30am — No Comments

Different kinds of loops in R.

Normally, it is better to avoid loops in R. But for highly individual tasks a vectorization is not always possible. Hence, a loop is needed – if the problem is decomposable.

Which different kinds of loops exist in R and which one to use in which situation?

In each programming language, for- and while-loops (sometimes until-loops) exist. These loops are sequential and not that fast – in R.

for(i in…

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Added by Frank Raulf on August 12, 2019 at 12:30am — No Comments

Weekly Digest, August 12

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.  

Announcement

  • Healthcare…
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Added by Vincent Granville on August 11, 2019 at 8:00am — No Comments

What is AI: explaining it from different dimensions

This article was written by Swami Chandrasekaran.

Click on the picture below to zoom in. 

AI is a fascinating area and I personally feel it will not do justice to explain it without looking at it from…

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Added by Andrea Manero-Bastin on August 11, 2019 at 7:30am — No Comments

Object Detection using Deep Learning: Faster R-CNN,YOLO,SSD

This article was written by Ankit Sachan.

 In this post, I shall explain object detection and various algorithms like Faster R-CNN, YOLO, SSD. We shall start from beginners’ level and go till the state-of-the-art in object detection, understanding the intuition, approach and salient features of each method.…

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Added by Andrea Manero-Bastin on August 11, 2019 at 7:30am — No Comments

Neural Networks:  Is Meta-learning the New Black?

I’ve written several times about how the “economies of learning” are more powerful than the “economies of scale”.  Through a continuous learning and refinement process, organizations can simultaneously drive down marginal costs while accelerating time-to-value and de-risking projects via digital asset re-use and refinement (see Figure 1).…

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Added by Bill Schmarzo on August 10, 2019 at 11:12am — No Comments

Why your business needs a data warehouse

As any good tradesperson knows, you need the right tool for the job. Just ask someone who’s used a screwdriver to assemble furniture how much they would pay for a power drill.…

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Added by Matthew Gierc on August 9, 2019 at 1:00pm — No Comments

Data Scientist, Business & IT – Importance to have everyone on the same page, key challenges and recommendations

Data science has become an integral part of a 21st century organization. Almost all the companies, large, medium or small, want to utilize data science to fulfill their business imperatives by

  1. Improving their current processes for better operational efficiency thereby reducing costs
  2. Growing current business and opening new revenue streams
  3. Streamlining supporting functions including HR

There are much more industry applications and…

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Added by Ankit Garg on August 8, 2019 at 5:52pm — No Comments

Thursday News, August 8

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

Announcements

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Added by Vincent Granville on August 8, 2019 at 11:08am — No Comments

Can Data Analytics Really Deliver 1300% ROI?

With the right business problem, data, and applied techniques predictive analytics can deliver exceptional return on investment (ROI) by, for example, assessing and managing risk, detecting and preventing fraud, optimizing workflow and business processes, and prioritizing resources.  Predictive analytics provides…

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Added by Paul Derstine on August 8, 2019 at 8:28am — No Comments

Detecting Bias with SHAP

StackOverflow’s annual developer survey concluded earlier this year, and they have graciously published the (anonymized) 2019 results for analysis. They’re a rich view into the experience of software developers around the world — what’s their favorite editor? how many years of experience? tabs or spaces? and crucially, salary. Software engineers’ salaries are good, and sometimes both eye-watering and news-worthy.

The tech industry is also painfully aware that it does not always live…

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Added by Sean Owen on August 8, 2019 at 8:00am — No Comments

How to make your Digital strategy payoff? (hint: Data Science)

                                                                Source: Pixabay

Digital advertisement spends are surpassing traditional ad spends (TV, print, outdoor). Most brands have…

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Added by Ridhima Kumar on August 8, 2019 at 7:40am — No Comments

Using Python and R to Load Relational Database Tables, Part II

Last time I wrote on using Python/Pandas as an adjunct to loading PostgreSQL tables. In this sequel, I demo how R can be used to collaborate with the database in…

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Added by steve miller on August 8, 2019 at 6:22am — No Comments

Breaking the HDFS Performance Barrier; An Object Storage First

By Siddartha Mani

Few would argue with the statement that Hadoop HDFS is in decline. In fact, the HDFS part of the Hadoop ecosystem is in more than just decline - it is in freefall. At the time of its inception, it had a meaningful role to play as a high-throughput, fault-tolerant distributed file system. The secret sauce was data locality. 

By co-locating compute and data on the same nodes, HDFS overcame the limitations of slow network access to data. The…

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Added by Jonathan Symonds on August 6, 2019 at 1:00pm — No Comments

3 Ways data visualization will advance and impact users

The term ‘data visualization’ was coined a couple of years ago. But storytelling finds its roots in the earliest of times. Using characters, events, event sequences, locations, time periods, emotions, numbers, etc., storytelling has always fascinated the humankind.



Today, data visualization narrates events, causes & consequences…

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Added by Bhushan Patil on August 6, 2019 at 5:00am — No Comments

50 Successful Blockchains Applications

This article was written by Matteo Gianpietro Zago.

 When talking about blockchains, we commonly think of its applications in the future. “Blockchain will solve this, blockchain will achieve that”. It’s easy to forget that blockchains are already deployed in the wild.

Pick an…

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Added by Andrea Manero-Bastin on August 6, 2019 at 5:00am — No Comments

Diabetes Prediction with Ensemble Techniques

Till your good is better and better is best!

ENSEMBLE

Yes, the above quote is so true. We humans have ability to rate things and find some or the other matrices to measure things and evaluate them or their performances. Similarly, in Data Science you can measure your model’s accuracy and performance! The very first model that you build, you can set its matrices from the results and these matrices become your…

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Added by Neeraj on August 6, 2019 at 4:30am — No Comments

Automated Machine Learning for Professionals - Updated

Summary: As the Automated Machine Learning (AML) movement got underway a few years back there was an early branch between proprietary platforms and open source platforms.  In this article we’ll update you on leading open source AML tools.  Since they continue to require fluency in Python or R we label them “professional”.

 …

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Added by William Vorhies on August 5, 2019 at 7:11am — No Comments

Machine Learning in Hospitals: Easing Wait Times in the ER

Like many emergency rooms in the United Kingdom, the A&E department at Salford Royal NHS Foundation Trust, Greater Manchester, faces high congestion. This results in treatment delays and access issues. The Data Science team at the Northern Care Alliance (NCA) National Health Service (NHS) Group of hospitals is implementing support mechanisms to ease wait times, using machine learning and regression to…

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Added by Stephanie Glen on August 5, 2019 at 5:29am — 1 Comment

Value Engineering: The Secret Sauce for Data Science Success

The business, economic and social good that can be delivered courtesy of data science is almost unbounded; it has the potential to improve healthcare, public safety, transportation, education, environment, manufacturing, communities and the overall quality of life. If what your organization seeks is to exploit the potential of data science to power your business models; then your next question is “How do I achieve that?”  And that’s the topic of…

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Added by Bill Schmarzo on August 5, 2019 at 4:07am — No Comments

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