How Musk’s endorsement and Tesla’s adoption are going to change the bitcoin and cryptocurrency landscape.

Bitcoin — the first cryptocurrency created by Satoshi Nakamoto hit the headline again, but this time for good reasons. Having survived a tumulous 12 years as a financial counterculture, Bitcoin celebrated a much-anticipated milestone today — getting a blue-chip boost from Tesla, days after Elon Musk publicly swapped his Twitter bio with a flashy hashtag #Bitcoin.

This exhilarating news is both a game-changer and a welcoming one in the emerging crypto-world, amid an uptick in institutional adoption spearheaded by Michael Saylor and a recent price…

*Disclaimer: Any information and opinions found on this page are not to be considered as financial advice. You should do your own research before making any investment decisions.

January 3rd 2021 was the 12th birthday of Bitcoin since the inception of the genesis block. And there are good reasons to celebrate. The news of Bitcoin constantly breaching new highs is a welcoming narrative by all HODLers and bulls alike. …

9 months ago I was on a quest to find the right topic for my master thesis, then I stumbled upon this seemingly avant-garde topic rife with buzzwords —

“Data Quality Assessment and Predictive Analytics for Customer Journeys in a B2B Sector”

And of course, the proposal is not complete without catchphrases like #BigData #DataAnalytics #StatisticalModel #MachineLearning and bla bla bla…

Before we dive any deeper, let me make myself clear with a disclaimer. I am not a computer science nor IT major per se, but a post-grad in business and management science, with a strong affinity for data analytics…

“How accurate is your model?”

This is probably the most commonly asked question when one wants to know how a model performs or rather how accurate a classifier can actually predict an anticipated event.

While using accuracy to measure a classifier performance is not wrong, it may give you a false sense of optimism. A classifier with high accuracy tells you the overall performance of a model, but less so on a more localized level of the individual class it predicts.

What does that even mean? Or rather why accuracy alone is inadequate to evaluate the performance of a classifier…

Imbalanced data is a very common occurrence in real-world domains, especially when the subject of interest for a decision-making system is a rare but important case. This can be a problem when a future decision is to be made based on insights from historical data. Inadequate data from the minority case can hamper the robustness of the new decision being made.

The case of imbalanced data exists almost to any real-life applications. For instance, the average customer churn rate for wireless carriers in the US is somewhere between 1–6%. …

Reimagining your surrounding with the new iPhone

You want to furnish your room with a new piece of furniture but unsure if it would look nice in your room? Prior to AR, you would probably have to measure the dimension and imagine how that piece of furniture would fit into your anticipated environment. Now, what if I tell you that you can just lift your iPhone to project an augmented version of the furniture right on that corner of your room to see if you like or not. Spot on, the era of Augmented Reality aka. …

In the first series of this article, we discussed what feature selection is about and provided some walkthroughs using the statistical method. This article follow-ups on the original article by further explaining the other two common approaches in feature selection for Machine Learning (ML) — namely the wrapper and embedded methods. Explanations will be accompanied by sample coding in Python.

To recap, feature selection means to reduce the number of predictors used to train a ML model. The main goals are to improve the accuracy of the predictive performance (by reducing the number of redundant predictors), reduce calculation time (fewer…

Under the shadow of the corona pandemic, Apple has staged its second major online event in 2020, after the WWDC in June. However, unlike any typical fall event for Apple, there was no iPhone announced at the “Time Flies” event this year. While we do get shiny hardware upgrades with the new Apple Watch and two variants of iPads, there is a subtle message at every turn of the event that could go easily unnoticed — A silent flex on strengthening Apple’s ecosystem and its springing service businesses.

This article will look at the new direction Apple has been quietly…