Information is the oil of the 21st century, and analytics is the combustion enginePeter Sondergaard, Senior Vice President at Gartner
Hi! My name is Valentina and, for those who know me, launching a personal blog is the most unlikely thing I could do.
However, it’s been almost a year since I started studying and learning about data science thanks to the knowledge and expertise of many people who were willing to share their skills. Hence, I decided I wanted to contribute, in turn, by sharing some topics and news related to Data Science, Machine Learning and Deep Learning. At the same time, I will size this opportunity to update and improve my knowledge in that limitless field.
Far from being ‘academic’, my articles are meant to be a source of confrontation, and I’d be more than happy to receive opinions or criticism to improve them.
Hoping I did’t bore you already, I wish you a happy reading!
Bootstrap methods are powerful techniques used in non-parametric statistics, that means, whenever we are provided with data drawn from an unknown distribution law. The underlying issue that bootstrap is meant to address is the well known problem of statistics: we want to collect information about a population, but we are provided only with a sample… Read more
Imagine you own a restaurant and you want to analyze not only the trend of your revenue, but also the reason behind periods of particularly high earnings, moment of the day where a particular kind of clients comes to your restaurant, why some days tips are higher than others and so on. Knowing all those… Read more
In most of my previous articles, I’ve often been stretching the importance of visualizing the results obtained by a technical analysis. Ideally, your charts should be able to summarize in a glimpse what you have been working on for days. Plus, those charts have to do so in a way which is clear and comprehensible… Read more
Which is your main interest?
- Big Data (4)
- Deep Learning (6)
- Finance (2)
- Machine Learning (16)
- Mathematics (2)
- Python (8)
- Senza categoria (4)
- Statistics (12)
Check my latest articles:
- Bootstrap sampling: an implementation with PythonBootstrap methods are powerful techniques used in non-parametric statistics, that means, whenever we are provided with data drawn from an unknown distribution law. The underlying … Read more
- Interactive analytics and predictions on Restaurant tipsImagine you own a restaurant and you want to analyze not only the trend of your revenue, but also the reason behind periods of particularly … Read more
- How to make animated charts with PlotlyIn most of my previous articles, I've often been stretching the importance of visualizing the results obtained by a technical analysis. Ideally, your charts should … Read more
- Time Series: why do we need Stationarity and ErgodicityA time series is a series of data points indexed in time order, normally with equally spaced points in time. Examples of time series are … Read more
If you are data-addicted and want to learn more, you can have a look at my e-book Machine Learning From Scratch: A Gentle Introduction