Random Forest is a flexible, easy to use machine learning algorithm that produces, even without hyper-parameter tuning, a great result most of the time. It is also one of the most used algorithms, because it’s simplicity and the fact that it can be used for both classification and regression tasks. In this post, you are going to learn, how the random forest algorithm works and several other important things about it.
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Statistics for people in a hurry – Towards Data Science
Making decisions based on facts (parameters) is hard enough as it is, but -curses!- sometimes we don’t even have the facts we need. Instead, what we know (our sample) is different from what we wish we knew (our population). That’s what it means to have uncertainty.
A Brief Overview of Outlier Detection Techniques – Towards Data Science
“Observation which deviates so much from other observations as to arouse suspicion it was generated by a different mechanism” — Hawkins(1980)
The 5 Clustering Algorithms Data Scientists Need to Know
5 popular clustering algorithms that data scientists need to know and their pros and cons!
Overcoming Big Data’s Challenges
Gaining real business benefit from investments in big data and advanced analytics means overcoming three key challenges: talent, technology, and culture.
Infographic: The Changing Landscape of Business Risk
the modern era, the pace of business is fast – but the pace of technological change is even faster.
As a result, the landscape of business risks is constantly shifting and changing, and both entrepreneurs and investors need to be on top of the potential factors that could disrupt their chances of success. At the same time, they also need to be prepared to address and mitigate new risks as they crop up.
Hello, TensorFlow! – O’Reilly Media
Explore the data flow graph that defines the computations your data will undergo, how to train models with gradient descent using TensorFlow, and how TensorBoard can visualize your TensorFlow work.
The Value of Probabilistic Thinking: Spies, Crime, and Lightning Strikes
How probabilistic thinking help you react to uncertainties
Python Programming Tutorials
Great resources of using Python to do financial analysis
Explanatory modeling, causality, predictive modeling,
predictive power, statistical strategy, data mining, scientific research.
