Facts About Coronavirus Disease 2019 (COVID-19) in 5 Charts created with R and ggplot2

[This article was first published on novyden, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Introduction Coronovirus pandemic is changing our lifestyle from daily routine to near- and … Read more Facts About Coronavirus Disease 2019 (COVID-19) in 5 Charts created with R and ggplot2

The 2020 US Stock Market Drop was bad

Analyzing the severity of the COVID-19 related US stock market sell-off using data visualizations and a historic context. If you don’t know about the US stock market drop that occurred over the last 2 months, then you’re either: A college student, OR An entry-level worker with no investments and student loans worth a lifetime Either … Read more The 2020 US Stock Market Drop was bad

The Impact of Paper Filters on Espresso

Vis-à-vis Aeropress Filters meet Espresso Machines In May of 2019, Scott Rao popularized an espresso technique for high extraction (>25% vs 18% to 22% range for a 3:1 shot) involving Aeropress filters (filtered espresso). At the time, I was deep into an exploration of the staccato espresso technique, and I didn’t want to add another … Read more The Impact of Paper Filters on Espresso

Less Known but Very Useful Pandas Functions

Expedite your data analysis process Photo by Erik Mclean on Unsplash Pandas is a highly-efficient and widely used data analysis tool. The core data structure of Pandas is DataFrame which represents data in tabular form with labeled rows and columns. There are many powerful and flexible functions and methods of DataFrame that ease and expedite … Read more Less Known but Very Useful Pandas Functions

Bioinformatics: How AI Can Contribute to the Study of Life

Often, complex biological phenomena involve many biological aspects, and hence cannot be explained in one data type. For this reason, bioinformatics involves an interlinked analysis of several different data types, and should give a holistic understanding of complicated biological phenomena. Machine learning has been used in bioinformatics for prediction and discovery — with the rise … Read more Bioinformatics: How AI Can Contribute to the Study of Life

AWS Storage Gateway adds audit logs for File Gateway to address enterprise compliance requirements

File Gateway provides on-premises applications with file-based, cached access to virtually unlimited cloud storage using SMB and NFS protocols. With this launch, SMB client operations for files and folders are logged to provide IT administrators and compliance managers with the information they need about user access to files and folders. Key operations logged for files … Read more AWS Storage Gateway adds audit logs for File Gateway to address enterprise compliance requirements

My First Month As A Computer Vision Engineer

The key deliverable for the company comes in the form of an iOS mobile application. Photo by Roozbeh Eslami on Unsplash I’ve had no exposure to developing an iOS mobile application, so my first month involved me getting familiar with Xcode, which is an IDE for developing mobile apps, and also Swift, which is a … Read more My First Month As A Computer Vision Engineer

Fighting the Covid-19: All the datasets and data efforts in one place

Keeping track of all the data efforts regarding the Coronavirus is hard. That is why I have gathered all the relevant datasets and data efforts in one place. The list is being updated on a daily basis, so check it out often. Since the corona erupted into our world, research institutes and governments have released … Read more Fighting the Covid-19: All the datasets and data efforts in one place

Introducing Service Directory: Manage all your services in one place at scaleIntroducing Service Directory: Manage all your services in one place at scaleSoftware EngineerProduct Manager

Simplify service management and operations Service Directory reduces the complexity of management and operations by providing unified visibility for all your services across cloud and on-premises environments. And because Service Directory is fully managed, you get enhanced service inventory management at scale with no operational overhead, increasing the productivity of your DevOps teams. At the … Read more Introducing Service Directory: Manage all your services in one place at scaleIntroducing Service Directory: Manage all your services in one place at scaleSoftware EngineerProduct Manager

Scaling Machine Learning

About the speaker: Razvan Peteanu’s current role is Lead Architect — Machine Learning at TD Securities. He has 25 years of experience in software development, mostly in the financial industry. His focus over the last several years has been on building scalable machine learning solutions, in the cloud or on premise. About the talk: Some … Read more Scaling Machine Learning

Visualizing decision tree partition and decision boundaries

Grant McDermott develop this new R package I had thought of: parttree parttree includes a set of simple functions for visualizing decision tree partitions in R with ggplot2. The package is not yet on CRAN, but can be installed from GitHub using: # install.packages(“remotes”) remotes::install_github(“grantmcdermott/parttree”) Using the familiar ggplot2 syntax, we can simply add decision tree boundaries to … Read more Visualizing decision tree partition and decision boundaries

Updates to R GUIs: BlueSky, jamovi, JASP, & RKWard

[This article was first published on R – r4stats.com, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Graphical User Interfaces (GUIs) for the R language help beginners get … Read more Updates to R GUIs: BlueSky, jamovi, JASP, & RKWard

Microsoft partners with the industry to unlock new 5G scenarios with Azure Edge Zones

Cloud, edge computing, and IoT are making strides to transform whole industries and create opportunities that weren’t possible just a few years ago. With the rise of 5G mobile connectivity, there are even more possibilities to deliver immersive, real-time experiences that have demanding, ultra-low latency, and connectivity requirements. 5G opens new frontiers with enhanced mobile … Read more Microsoft partners with the industry to unlock new 5G scenarios with Azure Edge Zones

Contagiousness of COVID-19 Part I: Improvements of Mathematical Fitting (Guest Post)

Learning Machines proudly presents a guest post by Martijn Weterings from the Food and Natural Products research group of the Institute of Life Technologies at the University of Applied Sciences of Western Switzerland in Sion. The topic of this post will be the fitting with the R-package optim. Food? That sounds like a rather unlikely … Read more Contagiousness of COVID-19 Part I: Improvements of Mathematical Fitting (Guest Post)

What is a dgCMatrix object made of? (sparse matrix format in R)

I’ve been working with sparse matrices in R recently (those created using Matrix::Matrix with the option sparse=TRUE) and found it difficult to track down documentation about what the slots in the matrix object are. This post describes the slots in a class dgCMatrix object. (Click here for full documentation of the Matrix package (and it … Read more What is a dgCMatrix object made of? (sparse matrix format in R)

What Happens to AI When the World Stops(COVID-19)?

COVID-19 has proven to be one of the greatest black swan events of our time. What does this mean for the future of AI, Machine Learning and Data Science? Photo by Yulia Gadalina on Unsplash The world just stopped… Well, maybe not the actual orbit and spin of our planet, but rather the economy and … Read more What Happens to AI When the World Stops(COVID-19)?

Data Structures — Simplified and Classified

Photo by Christina Morillo via Pexels (CC0) In order to pass programming interviews you need to solve algorithms and to solve algorithms you need data structures. Now the problem is when you open a data structures and algorithms textbook, it’s filled with complex math and for those of you who are not a big fan … Read more Data Structures — Simplified and Classified

Master Auto ML in Python — An Overview of the MLBox package

Learn about MLBox to quickly and efficiently train an automated machine learning pipeline for a classification problem in python. Photo by Crystal Kwok on Unsplash Today’s post is very special. It’s written in collaboration with Axel de Romblay the author of the MLBox Auto-ML package that has gained a lot of popularity these last years. … Read more Master Auto ML in Python — An Overview of the MLBox package

Boosting Showdown: Scikit-Learn vs XGBoost vs LightGBM vs CatBoost in Sentiment Classification

Which gradient boosting library will reign supreme in this head-to-head competition? Image Source Gradient boosting is one of the most popular machine learning techniques in recent years, dominating many Kaggle competitions with heterogeneous tabular data. Similar to random forest (if you are not familiar with this ensembling algorithm I suggest you read up on it), … Read more Boosting Showdown: Scikit-Learn vs XGBoost vs LightGBM vs CatBoost in Sentiment Classification

You Are a Subject in Hundreds of Experiments a Day

Source: Pixabay Conducted by Microsoft, Google, Facebook, Amazon, and the Rest of the Internet If you can access Medium, you probably can and do access sites like Bing, Google, Facebook, and Amazon — and if you do, you are, whether you know it or not, a subject in experiments from each one of those sites. … Read more You Are a Subject in Hundreds of Experiments a Day

Machine Learning Engineer versus Software Engineer

What is the difference between these two roles and how they think? Software engineering has blown up to encompass more than 1million employees in the US as of 2018 and is not forecasted to slow in growth. Next to come is the machine learning engineer, who takes an automation or decision making problem and applies … Read more Machine Learning Engineer versus Software Engineer

Understanding Feature extraction using Correlation Matrix and Scatter Plots

The data out there in the world is very huge and needs to be dealt very consciously for any sensible outcome we’d like to achieve through a novel data science approach. This article is going to deal with a very fundamental and important concept when dealing with a large number of features in a given … Read more Understanding Feature extraction using Correlation Matrix and Scatter Plots

Streamlining Design and Maximizing Success for Agile Test and Learn

Test and learn analysis is used widely throughout industry as a way to quantitatively understand the preferences of a retailer’s customer base. Successful testing requires accurate assumptions (response rates, anticipated difference between variants) along with finely tuned execution parameters (audience size, test/control split, test iterations and timing). The test design phase is arguably the most … Read more Streamlining Design and Maximizing Success for Agile Test and Learn

Why we are so tempted to go out of lane?

Work has conditioned us to (Photo: Randy Au) Earlier last week I was seriously thinking about discussing how data people need to be very cautious about what they’re saying in public about COVID-19. There is a lot of contextless data and charts bouncing around that acts like a magnet to us data folk. The temptation … Read more Why we are so tempted to go out of lane?

Image Recognition vs Other Techniques in Predicting the Financial Market

Power-up time series analysis with CNN and how it compares with other techniques This work was done in collaboration with @Vesko Karadjov who always sparkles with brilliant ideas. The financial market deals with time series mostly, and there are tons of techniques and tools around time series prediction. What we going to do is to … Read more Image Recognition vs Other Techniques in Predicting the Financial Market

Recursion in Python

In computer science, recursion is a method of finding solutions to problems using smaller solutions of the same problem. Recursive algorithms have applications in list sorting, binary tree traversal, path finding and much more. In this post, we will discuss a classic recursive procedure used to find the factorial of a natural number. Let’s get … Read more Recursion in Python

Predicting 1,000,000 of COVID-19 done with R before March 18 – call for help

[This article was first published on R-posts.com, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Due to the unprecedented technological progress that has been made in years past, … Read more Predicting 1,000,000 of COVID-19 done with R before March 18 – call for help

Analyzing Remote Sensing Data using Image Segmentation

[This article was first published on R-posts.com, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. This post summarizes material posted as an Additional Topic to accompany the book … Read more Analyzing Remote Sensing Data using Image Segmentation

AWS Canada (Central) Region Adds Third Availability Zone

This third AZ provides customers with additional flexibility to architect scalable, fault-tolerant, and highly available applications in AWS Canada (Central) Region, and will support additional AWS services in Canada. This launch brings AWS’s global AZ total to 70 AZs within 22 geographic Regions around the world. See our newly released blog.   Availability Zones located … Read more AWS Canada (Central) Region Adds Third Availability Zone

Ace the SQL Data Science Interview in less than 10 minutes

When data is stored in different tables, it can be tricky to join it back together in the way that is most appropriate. The most common SQL question attempts to gage your understanding of the difference between left/right/inner/outer joins. The graph below summarizes the difference between each type of join: Typical Graph Highlighting Left/Right/Inner/Outer Join … Read more Ace the SQL Data Science Interview in less than 10 minutes

COVID-19 public dataset on GCP from cases in Italy

I. Data extraction The starting point is a pdf document with medical notes and images. Here are the steps taken to extract that data: Download the pdfs from the ISMIR website (manual process) Separate the pages of each case (manual process) Extract text using Google Cloud Vision API — DOCUMENT_TEXT_DETECTION. Function to parse json output … Read more COVID-19 public dataset on GCP from cases in Italy

What You’re Buying Is Not AI: How To Tell Fact From Fiction

The buzzword ‘AI’ is thrown around frequently. It could mean simple automation, or even excel formulae. How do you find out? It’s getting harder and harder to tell real from the fake when it comes to products of artificial intelligence (AI). So hard, in fact, that dating apps are now boosting their numbers with profiles … Read more What You’re Buying Is Not AI: How To Tell Fact From Fiction

COVID-19 public dataset program: Making data freely accessible for better public outcomesCOVID-19 public dataset program: Making data freely accessible for better public outcomesBigQuery Product Manager and GIS LeadDeveloper Advocate

Data always plays a critical role in the ability to research, study, and combat public health emergencies, and nowhere is this more true than in the case of a global crisis. Access to data sets—and tools that can analyze that data at cloud scale—are increasingly essential to the research process, and are particularly necessary in … Read more COVID-19 public dataset program: Making data freely accessible for better public outcomesCOVID-19 public dataset program: Making data freely accessible for better public outcomesBigQuery Product Manager and GIS LeadDeveloper Advocate

En-Lightning Reinforcement Learning

Building a DQN with PyTorch Lightning This article looks at using PyTorch Lightning for the exciting domain of Reinforcement Learning (RL). Here we are going to build a standard Deep Q Network (DQN) model using the classic CartPole gym environment to illustrate how to start using Lightning to build your RL models. In this article … Read more En-Lightning Reinforcement Learning

Why R? Webinars

[This article was first published on http://r-addict.com, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Motivated by a successful turnaround of visits of Why R? 2019 keynote talksthat … Read more Why R? Webinars

Extending the power of Azure AI to Microsoft 365 users

Today, Yusuf Mehdi, Corporate Vice President of Modern Life and Devices, announced the availability of new Microsoft 365 Personal and Family subscriptions. In his blog, he shared a few examples of how Microsoft 365 is innovating to deliver experiences powered by artificial intelligence (AI) to billions of users every day. Whether through familiar products like … Read more Extending the power of Azure AI to Microsoft 365 users

Coronavirus : spatially smoothed decease in France

[This article was first published on r.iresmi.net, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. # Carto décès COVID 19 France # avec lissage # sources —————————————————————– fichier_covid … Read more Coronavirus : spatially smoothed decease in France

Debugging Jupyter Notebooks Will Boost Your Productivity

Some would rightfully point out that Jupyter already supports pdb and that’s enough, but as developers, we tend to prefer the easy way AKA GUI. PixieDebugger is the first visual Python debugger for Jupyter notebooks and includes a source editor, local variable inspector, console output, the ability to evaluate Python expressions in the current context, … Read more Debugging Jupyter Notebooks Will Boost Your Productivity