Arthur Feriotti’s Post

Data science is the art of turning questions into knowledge, chaos into clarity, and data into the driving force of tomorrow's decisions.

Data Warriors, Beware: The Silent Assassin & The Hidden Foe Await! ⚔️ Ever felt your data models leading you astray? Our latest blog dives into the silent assassins of data science: bad data & bias. ️ Discover advanced techniques to conquer these foes & build powerful, fair models. Click below to learn more! ⬇

Null Hypothesis We are trying to break the norm. Null Hypothesis is defined as: "No statistical significance between the two variables" Basically translating to: "These 2 things don't relate" Data Science/ Machine Learning is all about disproving this. We want to reject it. We think we can get B with A. That's why we do everything we do is an experiment. We are testing to disprove. Sometimes it takes a while. Thus, it's why our results are always called "predictions". As you go through your projects and working with your team. Here's a top to help stay focused: Always fall back to the Null Hypothesis. - How will this experiment help disprove it? - What did you do this week towards it? For Stakeholders: - What information can you provide to help us disprove it? - What makes you think they are related This will help keep the end in mind.

Unraveling the Dynamics of Time Series Datasets: Best Analyzing Trends and Making Predictions Introduction: In the vast landscape o... https://lnkd.in/guXWvKeB #Datasets #OnlineLearningandAdaptiveForecasting Introduction: In the vast landscape of data analytics and machine learning, time series datasets hold a unique significance, representing a sequential collection of data points ordered by time. From financial markets to climate patterns and beyond, time series analysis enables us to unravel temporal patterns, understand trends, and make informed predictions. This comprehensive exploration delves ... Read more

Unraveling the Dynamics of Time Series Datasets: Best Analyzing Trends and Making Predictions Introduction: In the vast landscape o... https://lnkd.in/gCHT8sX9 #Datasets #OnlineLearningandAdaptiveForecasting Introduction: In the vast landscape of data analytics and machine learning, time series datasets hold a unique significance, representing a sequential collection of data points ordered by time. From financial markets to climate patterns and beyond, time series analysis enables us to unravel temporal patterns, understand trends, and make informed predictions. This comprehensive exploration delves ... Read more

Weekend philosophy: Isn’t LIFE like an ongoing A/B test, where we’re constantly optimizing the KPIs of our overall fulfillment? Just like in data science, it all starts with a “hypothesis” - an idea that might improve your life - then you test it, giving it time to achieve "statistical significance" and if its successful, you embrace the new "variant" version of yourself - and continue to "iterate" Many have amazing hypotheses, but never experiment Many initiate the experiment, but never reach statistical significance Many stop iterating, leading to a decline in their life metrics - just like in data science or any product Am I thinking too much about data science? 😂 #philosophy #datascience #abtesting

Data scientists often have a tendency to overcomplicate things. But remember. If you can’t explain something simply, then you don’t understand it. And nobody will understand it too.

If you understand how the machine learning Random Forrest has both the strength and weaknesses of our America? Let's chat about Data Science.

Here’s a daily tip for data science: Don't overcomplicate things. As tempting as it may be to make your models as complex as possible, there's a real risk of diminishing returns. Sometimes, the best way to get the results you need is through simple, straightforward models and algorithms.

Unraveling the Dynamics of Time Series Datasets: Best Analyzing Trends and Making Predictions Introduction: In the vast landscape o... https://lnkd.in/dD2ErWwY #Datasets #OnlineLearningandAdaptiveForecasting Introduction: In the vast landscape of data analytics and machine learning, time series datasets hold a unique significance, representing a sequential collection of data points ordered by time. From financial markets to climate patterns and beyond, time series analysis enables us to unravel temporal patterns, understand trends, and make informed predictions. This comprehensive exploration delves ... Read more