The Global Financial Crisis, The Motivation, Hash Functions and Merkle Trees

Introduction

In this article, we will explore the conceptual notions and appropriate math and data structures that was used in order to first conceptualise the notion of a blockchain in the initial Bitcoin Whitepaper.

  1. Motivation behind Bitcoin
  2. Hash Functions
  3. Collisions and Collision Resistance
  4. Committing to Data and Lists
  5. Merkle Tree and…


Introduction

This is a comprehensive guide to Dimensionality Reduction and Principal Component Analysis (PCA).

Supervised learning refers to learning based only on input data and no corresponding output variables, or labels. The goal is for the system to generate its own model of the underlying structure or distribution.

  1. Curse of Dimensionality


Introduction

This is a comprehensive guide to K-Means Clustering with applications in Finance.

Supervised learning refers to learning based only on input data and no corresponding output variables, or labels. The goal is for the system to generate its own model of the underlying structure or distribution.

In this article we…


Introduction

This is a comprehensive guide to classification tasks for Boosting and Stacking methods.

Supervised learning refers to machine learning that is based on a training set of labeled examples. A supervised learning model trains on a dataset containing features that explain a target.

In this article we will look at:


Introduction

This is a comprehensive guide to classification tasks for Ensemble Methods, Bagging and Random Forests.

Supervised learning refers to machine learning that is based on a training set of labeled examples. A supervised learning model trains on a dataset containing features that explain a target.

In this article we will…


Introduction

This is a comprehensive guide to regression and classification tasks for Decision Trees, known as CARTs (Classification and Regression Trees).

Supervised learning refers to machine learning that is based on a training set of labeled examples. A supervised learning model trains on a dataset containing features that explain a target.


Introduction

This is a comprehensive guide to classification tasks using Support Vector Machines (SVMs) and Kernels SVMs

Supervised learning refers to machine learning that is based on a training set of labeled examples. A supervised learning model trains on a dataset containing features that explain a target.

In this article we…


Introduction

This is a comprehensive guide to classification tasks using the K-Nearest Neighbours Algorithm.

Supervised learning refers to machine learning that is based on a training set of labeled examples. A supervised learning model trains on a dataset containing features that explain a target.

In this article we will look at:


Introduction

This is a comprehensive guide to classification tasks within logistic regression

Supervised learning refers to machine learning that is based on a training set of labeled examples. A supervised learning model trains on a dataset containing features that explain a target.

In this article we will look at:

  1. Logistic Regression…


In this article we will be applying Supervised Machine Learning Regression techniques to predict future performance of a target ETF, given other ETFs.

What is an ETF

An exchange traded fund (ETF) is a type of security that tracks an index, sector, commodity, or other asset, but which can be purchased or sold on…

Andrea Chello

I’m a Finance Professional, Data Scientist, Quantitative Researcher and Full-Stack Blockchain Developer.

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