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Featured Blog Posts – February 2020 Archive (51)

Weekly Digest, February 17

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.  …

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Added by Vincent Granville on February 14, 2020 at 6:30pm — No Comments

Supervised Learning vs Unsupervised & Semi Supervised in One Picture

Machine learning algorithms learn in three ways: unsupervised, supervised, and semi supervised. This picture illustrates the differences between the three types.

Related Articles

Association…

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Added by Stephanie Glen on February 14, 2020 at 12:30pm — No Comments

Julia and The Reincarnation of Lisp

Background

I have programmed exclusively in C for five years so far. I can say from experience, after one and half years in C, I was beginning to understand pointers, malloc() and arrays of pointers to pointers of structs containing pointers. I really mean was beginning to understand, not…

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Added by Arnuld on February 14, 2020 at 3:00am — 1 Comment

Leaving Money on the Table and the Economics of Composable, Reusable Analytic Modules

Money on the Table..MOTT.  When I was the Vice President of Advertiser Analytics at Yahoo, this became a key focus guiding the analytics that we were delivering to advertisers to help them optimize their spend across the Yahoo ad network. Advertisers had significant untapped advertising and marketing spend into which we were not tapping because we could not deliver audience, content and campaign insights to help them spend that money with us.  And the MOTT was…

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Added by Bill Schmarzo on February 13, 2020 at 7:00am — 2 Comments

Visually Explained: What Companies Get Wrong About Failure?

Many traditional businesses hate to fail. They embrace concepts such as Fail Fast in public, but deep inside their hearts, they are scared to fail. Failure is what gives corporate employees sleepless nights. In fact, many corporate initiatives fail, such as data science projects, for example. Why is failure so unloved, and what can we do about it? We have to change the way we think about failure.



Failure is not an event, it's a process.

This distinction is…

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Added by Rafael Knuth on February 13, 2020 at 6:51am — No Comments

MLOps vs. DevOps: the similarities and differences

In this post, we explore two terms which are becoming relatively common in professional machine learning applications – MLOps and DevOps

The term MLOps refers to a set of techniques and practises for data scientists to collaborate operations professionals.. MLOps aims to manage deployment of machine learning and deep learning models in large-scale production environments.

The term DevOps comes from the software…

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Added by ajit jaokar on February 12, 2020 at 10:00pm — No Comments

An Argument in Favor of Centaur AI

Summary:  Centaur AI is the best marriage of the machine’s ability to remember, analyze, and detect issues along with the human’s intuition to evaluate or take action on those results.  Instead of focusing on AI replacing humans, we should focus on AI in its role of augmenting humans.

 

In this angsty age where…

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Added by William Vorhies on February 11, 2020 at 1:19pm — No Comments

Using SAS Viya to Analyze Love at First Sight

The Game Changer series

By Stefan Dimitrov Stoyanov, Business Analytics Intern at Boemska

As you may have noticed from my first and second articles about SAS Viya, I fell in love at first sight with the SAS in-memory cloud analytics platform. However, do you believe you can fall in love, at first sight, with someone?

According to the 2017 Elite Singles poll the majority of people, 61% of women and 72% of men, say yes. Research…

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Added by Stefan Stoyanov on February 11, 2020 at 10:30am — No Comments

You should stop worrying about R vs. Python vs. whatever the tool

The big question and its answer are about solving problems. All the rest are only tools to get them done.

In a world that is daily becoming more binomial (and boring because of it), we need to focus on what really matters: solving problems.

The expectations around a great professional go far beyond the toolbox that is used. They are around on how that person is capable of getting the best of it to solve business problems.

Currently, in the so-called “age of information”,…

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Added by Leandro Guerra on February 10, 2020 at 10:45pm — No Comments

Overcoming surprises faced by Programmers migrating to Machine learning projects

Traditional programmers hit a stone-wall when they start working on Machine Learning (ML) development projects. They were used to coding based on design derived from requirements, logic/rules and when they move into a new paradigm in which rules are automatically generated from data, they are surprised. In ML paradigm, we do not find any output code and we see an output in the form of a binary object called model that goes into production. You may be wondering without measuring lines of code,… Continue

Added by Janardhanan PS on February 10, 2020 at 7:14pm — No Comments

Upskilling: What Is A Learning Sprint?

Why do we need Learning Sprints?

Virtually every company is under pressure to transform their business in order to sustain in the future. As part of these efforts, they are hiring data scientists and engineers, data analysts, and they are making huge investments into cloud, big data technologies and AI, amongst others. Virtually all employees need to unlearn what they have assumed to be true for decades, and they have to acquire new skills. Time and money are the big…

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Added by Rafael Knuth on February 10, 2020 at 10:00am — No Comments

25 Great Articles and Tutorials on Classification Methods

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more. To keep receiving these articles, sign up on…

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Added by Vincent Granville on February 10, 2020 at 8:30am — No Comments

Weekly Digest, February 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.  …

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Added by Vincent Granville on February 9, 2020 at 5:30pm — No Comments

Text Classification using Neural Networks

This article was written by gk_.

Understanding how chatbots work is important. A fundamental piece of machinery inside a chat-bot is the text classifier. Let’s look at the inner workings of an artificial neural network (ANN) for text classification.

We’ll use 2 layers of neurons (1 hidden…

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Added by Andrea Manero-Bastin on February 9, 2020 at 12:30pm — No Comments

Mastering Machine Learning Algorithms Second Edition

Mastering Machine Learning Algorithms, Second Edition helps you harness the real power of machine learning algorithms in order to implement smarter ways of meeting today's overwhelming data needs. This newly updated and revised guide will help you master algorithms used widely in semi-supervised learning, reinforcement learning, supervised learning, and…

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Added by Giuseppe Bonaccorso on February 9, 2020 at 3:01am — No Comments

What is the Data Architecture we Need?

In the new era of Big Data and Data Sciences, it is vitally important for an enterprise to have a centralized data architecture aligned with business processes, which scales with business growth and evolves with technological advancements. A successful data architecture provides clarity about every aspect of the data, which enables data scientists to work with trustable data efficiently and to solve complex business problems. It also prepares an organization to quickly take advantage of…

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Added by Stephanie Shen on February 8, 2020 at 3:00pm — No Comments

Best Resources to Learn Statistics (for Free!)

You don't have to take college classes to learn statistics. If you just want some basic information about a particular statistical topic, then StatisticsHowTo.com is a great way to start. But if you're looking for more structured training and perhaps a certification, you've got a lot of good options.

Beginner Statistics Resources

If you have zero to little statistics or programming knowledge, these…

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Added by Stephanie Glen on February 7, 2020 at 3:00pm — No Comments

7 NoSQL Databases You Must Consider for Your App Project in 2020

With the growing demand for scalability and flexibility, NoSQL databases are gaining huge momentum in the market. These databases are preferred as the first choice to develop complex web and mobile applications and operate with unstructured data. A ripple effect of which is that the NoSQL market is anticipated to hit $4.2 billion by the end of the year. 

This has made both new and experienced database…

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Added by Bhupinder Kour on February 6, 2020 at 10:00pm — No Comments

Kubernetes Storage Patterns

Via Nitish Tiwari

Kubernetes has fundamentally altered  the traditional application development and deployment patterns. Application development teams can now develop, test and deploy their apps in days, across different environments, all within their Kubernetes clusters. Previous generations of technology typically took weeks if not months.

This acceleration is possible due to the abstraction that Kubernetes brings to the table, i.e. it deals with underlying details of…

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Added by Jonathan Symonds on February 6, 2020 at 9:00am — No Comments

Apache Flink in 10 Minutes

What is Flink?

Apache Flink is an open-source stream processing framework. It is widely used by a lot of companies like Uber, ResearchGate, Zalando. At its core, it is all about the processing of stream data coming…

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Added by Igor Bobriakov on February 6, 2020 at 8:00am — No Comments

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