Publications by Dario Radečić
How to Build a Handwritten Digit Classifier with R and Random Forests
Build an MNIST Classifier With Random Forests Simple image classification tasks don’t require deep learning models. Today you’ll learn how to build a handwritten digit classifier from scratch with R and Random Forests and what are the “gotchas” in the process. Are you completely new to machine learning? Start with this guide on linear re...
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Machine Learning with R: A Complete Guide to Gradient Boosting and XGBoost
Gradient Boosting with R Gradient boosting is one of the most effective techniques for building machine learning models. It is based on the idea of improving the weak learners (learners with insufficient predictive power). Do you want to learn more about machine learning with R? Check our complete guide to decision trees. Navigate to a section: ...
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Deep Learning with R and Keras: Build a Handwritten Digit Classifier in 10 Minutes
Build a Handwritten Digit Classifier in 10 Minutes with R and Keras. In a day and age where everyone seems to know how to solve at least basic deep learning tasks with Python, one question arises: How does R fit into the whole deep learning picture? Here is some good news for R fans — both Tensorflow and Keras libraries are available to yo...
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Deep Learning with R and Keras: Build a Handwritten Digit Classifier in 10 Minutes
Deep Learning in R – MNIST Classifier with Keras In a day and age where everyone seems to know how to solve at least basic deep learning tasks with Python, one question arises: How does R fit into the whole deep learning picture? You don’t need deep learning algorithms to solve basic image classification tasks. Here’s how to classify hand...
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7 Must-Have Skills to Get a Job as a Data Scientist
Must-Have Skills for Data Science Everybody and their mother wants to learn data science. And there’s no reason not to – the job you do is interesting 95% of the time, the salaries are excellent, and most likely you can get the job done from the comfort of your bed. You think you have what it takes? Apply for one or twelve open positions a...
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Apache Arrow in R – Supercharge Your R Shiny Dashboards with 10X Faster Data Loading
Nobody likes a slow dashboard. Heck, I’m closing it and never coming back if it takes more than a couple of seconds to load. It’s a common problem — the datasets are getting bigger and our attention span is getting shorter. Balancing both as a developer, well, sucks. But there might be a silver lining. Most of the available datasets have on...
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Using Data Science in Pharma – Top 10 Real-World Examples
Data science is advancing into nearly every industry from pharma and banking to sales and logistics. And why not — when data science is properly integrated it results in a performance boost, faster implementation, or process automation (read: money, money, money). The pharmaceutical and medical industries are no exception. Every top pharmaceuti...
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How to Start a Career as an R Shiny Developer
So, you want to become an R Shiny Developer? You’re at the right place. We’re Appsilon — An industry leader building the world’s most advanced R Shiny applications for Fortune 500 companies — and this article will summarize everything you need to start a career in R and Shiny. Make sure to contact us if you check all of the boxes — we...
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Top R Packages for Visualizing Table Data – Make Stunning Tables in Minutes
Visualizing table data is no small task. It requires both data manipulation and data visualization skills from the technical end. It also requires knowledge about your audience. Ask yourself — For whom are you visualizing the data? Do you need interactivity? Will you include the table in a web application? The list of questions goes on and on. ...
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How to Make Stunning Boxplots in R: A Complete Guide with ggplot2
Boxplots with R and ggplot2 Are your data visualizations an eyesore? It’s a common problem, so don’t worry too much about it. The solution is easier than you think, as R provides countless ways to make stunning visuals. Today you’ll learn how to create impressive boxplots with R and the ggplot2 package. Read the series from the beginning: ...
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