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Applying Machine Learning Techniques in Quant

Two weeks ago, I was invited to present about Machine Learning and its applications in Quantitative Finance at a conference in London, UK.

Without a break, I went through four…

Blog Applying Machine Learning Techniques in Quant 3 Likes Weekly Digest, November 26Monday newsletter published by Data Science Central. Previous editions can be found here. The…

Blog Weekly Digest, November 26 1 Like Top 10 Machine Learning Algorithms Many articles have been written about the top machine learning algorithms: click here and here for instance. Most of them seem to define top as oldest, and thus most used, ignoring modern, efficient… Discussion Top 10 Machine Learning Algorithms 16 Likes
Hitchhiker's Guide to Data Science, Machine L

Thousands of articles and tutorials have been written about data science and machine learning. Hundreds of books, courses and conferences are available. You could spend months just figuring out…

Blog Hitchhiker's Guide to Data Science, Machine L 67 Likes Fascinating Chaotic Sequences with Cool AppliHere we describe well-known chaotic sequences, including new generalizations, with application to random number generation, highly non-linear auto-regressive models for times series, simulation,…

Blog Fascinating Chaotic Sequences with Cool Appli 8 Likes Four Great Pictures Illustrating Machine LearFour pictures were posted recently on Data Science Central, and have immediately become popular. They are designed as one-page tutorials on some specific (basic or advanced) topics. Click on the…

Blog Four Great Pictures Illustrating Machine Lear 9 Likes
13 Great Articles and Tutorials about Correla
Blog
13 Great Articles and Tutorials about Correla
8 Likes

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation,…

Boost your data science skills. Learn linear

I’d like to introduce a series of blog posts and their corresponding Python Notebooks gathering notes on the Deep Learning Book from Ian…

Blog Boost your data science skills. Learn linear 22 Likes Difference between Machine Learning, Data SciIn this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT,…

Blog Difference between Machine Learning, Data Sci 109 Likes 20 Great Blogs Posted in the last 12 MonthsThis is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 month old but no more than 12…

Blog 20 Great Blogs Posted in the last 12 Months 4 Likes 10 Modern Statistical Concepts Discovered byYou sometimes hear from some old-fashioned statisticians that data…

Blog 10 Modern Statistical Concepts Discovered by 26 Likes Types of Machine Learning Algorithms in One PHere is an interesting visualization of machine learning algorithms:

Originally posted…

Blog Types of Machine Learning Algorithms in One P 16 Likes
Stochastic Processes and New Tests of Randomn
## 1 Introduction

This article is intended for practitioners who might not necessarily be statisticians or statistically-savvy. The mathematical level is kept as simple as possible, yet I present an original,…

Blog Stochastic Processes and New Tests of Randomn 6 Likes Number Representation Systems Explained in OnBack to the basics. Here we are dealing with the oldest data set, created billions of years ago -- the set of integers -- and mostly the set consisting of two numbers: 0 and 1. All of us have…

Blog Number Representation Systems Explained in On 3 Likes Credit Risk Prediction Using Artificial NeuraCredit risk or credit default indicates the probability of non-repayment of bank financial services that have been given to the customers. Credit risk has always been an…

Blog Credit Risk Prediction Using Artificial Neura 10 Likes A Simple Introduction to Complex Stochastic PIn my first article on this topic (see here) I…

Blog A Simple Introduction to Complex Stochastic P 4 Likes My Best Data Science, Machine Learning and MaHere I list my most interesting contributions published on Data Science Central. My plan is to categorize and aggregate this content to produce a few self-published books. The material below will…

Blog My Best Data Science, Machine Learning and Ma 26 Likes Machine Learning Techniques based paper one oEach year, Risk Quant Europe Conference, a conference well-attended by practitioners from banking, asset management, insurers as well as academics from Europe, selects two papers to present…

Blog Machine Learning Techniques based paper one o 1 Like Machine Learning : Real World ApplicationsAs everyone knows Machine learning studies computer algorithms for learning to do stuff. We might, for instance, be interested in learning to…

Blog Machine Learning : Real World Applications 3 Likes
Ranking Popular Deep Learning Libraries for D

*Michael Li is founder and CEO at The Data Incubator. The company offers curriculum based on feedback from corporate and government partners…*

100 Free Tutorials for learning R

R language is the world's most widely used programming language for statistical analysis, predictive modeling and data science. It's popularity is claimed in many recent surveys and studies. R…

Blog 100 Free Tutorials for learning R 9 Likes- How to successfully build an app without code
- 8 certifications and courses for admins, DevOps and IT ops pros
- Edge AI brings new uses to IoT devices
- Employee poaching risk increases with remote work hiring
- Microsoft unveils per-user pricing for Power BI Premium
- Sisu redesigns analytics platform to streamline workflows
- What is a data warehouse analyst?
- Microsoft brings Azure AI to the edge with Azure Percept
- Hadoop Distributed File System (HDFS)
- Cutting through the fear of how AI will affect jobs through automation
- CPRA compliance creates complications for IT ops

Posted 8 March 2021

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