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July 2019 Blog Posts (102)

Data Science Central Weekly Digest, July 29

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.  

Upcoming DSC…

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Added by Vincent Granville on July 27, 2019 at 7:00pm — No Comments

An elegant way to represent forward propagation and back propagation in a neural network

Sometimes, you see a diagram and it gives you an ‘aha ha’ moment

Here is one representing forward propagation and back propagation in a neural network

I saw it on Frederick kratzert’s blog

 

 …

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Added by ajit jaokar on July 27, 2019 at 9:41am — No Comments

Best Machine Learning Tools to Modernize your Software Development

In the current scenario, when developers get immersed in the discussion about making use of machine learning, they are limited to creating AI-powered applications and the tools used to create them. They include TensorFlow, PyTorch, Scikit-learn, etc.

However, there is one other way machine learning is also impacting software development. ML has penetrated the software development ethos. Current development…

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Added by Jane Brewer on July 26, 2019 at 2:05am — No Comments

AI for People and Business Book Released!

I’m thrilled to announce that my book, AI for People and Business, is now officially released!…

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Added by Alex Castrounis on July 25, 2019 at 5:43pm — No Comments

Are Successful Data Scientists Hired or Trained?

The data science valley of despair is real. Time after time, leaders who’re well-versed in case studies and industry research extolling the returns of data-driven insights seek to innovate their business—and land in a hole of frustration and write-offs. It may be more accurate to call it a crater of despair given that Gartner predicts 85% of data science projects will fail (2018). What do the 15% of successful data science projects have in common? A…

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Added by ODSC on July 25, 2019 at 10:00am — 1 Comment

Thursday Newsletter

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

Technical Resources

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Added by Vincent Granville on July 25, 2019 at 9:30am — No Comments

US Arrests: Hierarchical Clustering using DIANA and AGNES

Introduction

Data Science and Machine Learning are furtive, they go un-noticed but are present in all ways possible and everywhere. They contribute significantly in all the fields they are applied and leave us with evidence which we can rely on and take data-driven directions. Today, a very interesting area we are going to see an example of Data Science and Machine Learning is ‘Crimes’. We are going to focus on types of crimes taken place across…

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Added by Neeraj on July 25, 2019 at 7:30am — No Comments

Boosting Trading Models with Sagemaker and Essentia

Building accurate models takes a great deal of time, resources, and technical ability. The biggest challenge? You almost never know what model or feature combination will end…

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Added by Benjamin Waxer on July 25, 2019 at 4:12am — No Comments

Comparing Model Evaluation Techniques Part 3: Regression Models

In my previous posts, I compared model evaluation techniques using Statistical Tools & Tests and commonly used Classification and Clustering evaluation techniques

In this post, I'll take a look at how you can compare regression models. Comparing…

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Added by Stephanie Glen on July 24, 2019 at 3:12pm — No Comments

The missing link for IoT - the Cloud

 

Introduction

 

IoT (Internet of Things) has not quite taken off yet as envisaged -  Will the cloud overcome the shortcomings of IoT? I believe that the Cloud is the missing link that enables IoT to create a critical mass towards deployment.

 

The vision outlined here is part of my forthcoming book on Data Science…

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Added by ajit jaokar on July 23, 2019 at 1:07pm — 2 Comments

First steps with leading data visualization programs.

Article was originally published on author's blog, here.

Learning to use data visualization programs

Gartner Magic Quadrant for data visualization programs

Imagine spending countless hours analyzing your data and finding a meaningful insight that can help shape direction of your business – the only missing piece is…

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Added by Alex Blyakhman on July 23, 2019 at 7:30am — 2 Comments

Logisitic Regression

Logistic Regression is a statistical approach which is used for the classification problems. In statistics, the logistic model (or logit model) is used to model the probability of a certain class or event existing such as pass/fail, win/lose, alive/dead or healthy/sick. This can be combined to model several classes of events such as determining whether an image contains a cat, dog, lion, etc… Each object is detected in the image would be assigned a probability between 0 and 1 and the sum…

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Added by Suresh on July 23, 2019 at 5:30am — No Comments

Statistical Hypothesis Testing – Spinning The Wheel

Knowing when and how to choose the right statistical hypothesis test is no mean feat. It can takes years of learning and practice before you get comfortable with it.

Fortunately, there are ways to shortcut this by having a process, a strategy and a nice, big diagram!

Here I'm going to give you all three!

​Getting…

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Added by Lee Baker on July 23, 2019 at 3:30am — No Comments

How Can Python Help Solve Machine Learning Challenges?

Summary: Python’s open-source and high-level nature, as well as its comprehensive libraries, make it the perfect fit to solve the numerous real-life ML challenges.

The increasing popularity and accessibility of Artificial Intelligence solutions is rapidly reshaping many industries, from healthcare through finance to aviation. Although the application of the latest technologies has always been an essential consideration for companies striving to get…

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Added by Łukasz Grzybowski on July 23, 2019 at 1:30am — No Comments

How much of training data is required

Hi , I am working on two projects, I have a historical data of 8 years . should  I train on the entire 8 years of data ? on the second project which is a cross product data, I have one year of data on product A and 5 years of data on product B. How should I consider the training data?

Added by Niranjan Gd on July 22, 2019 at 12:34pm — No Comments

Is Your Data Ready for AI?

Companies are champing at the bit to introduce any solution that promises Artificial Intelligence and Machine Learning. But hasty adoption is leaving one important question unanswered.
 
Is your data ready for AI? …
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Added by Lewis Wynne-Jones on July 22, 2019 at 8:00am — No Comments

Measuring Progress Toward AGI Is Hard

Summary:  Artificial General Intelligence (AGI) is still a ways off in the future but surprisingly there’s been very little conversation about how to measure if we’re getting close.  This article reviews a proposal to benchmark existing AIs against animal capabilities in an Animal-AI Olympics.  It’s a real thing and just now accepting entrants.

 …

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Added by William Vorhies on July 22, 2019 at 7:33am — No Comments

How Data Science can transform the face, body & functioning of Logistics

Data is the new fuel- it drives businesses towards exponential growths. It has the power to transform operational and add intelligent insights with its immense potential. The key, however, lies with understanding data and its insights.

Logistics, like other domains, can also leverage from the several advantages of data. It all begins with what to do with the collected data. Data Science will come into the picture with its amalgamation of statistical &…

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Added by Bhushan Patil on July 21, 2019 at 8:37pm — No Comments

Comparing Model Evaluation Techniques Part 2: Classification and Clustering

In part 1, I compared a few model evaluation techniques that fall under the umbrella of 'general statistical tools and tests'. Here in Part 2 I compare three of the more popular model evaluation techniques for classification and clustering: confusion…

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Added by Stephanie Glen on July 21, 2019 at 9:47am — No Comments

Weekly Digest, July 22

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

  • Join us this…
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Added by Vincent Granville on July 21, 2019 at 8:00am — No Comments

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