An open source Machine Learning in Finance repository to learn and apply towards solving real world problems.
- Information
- What is Machine Learning ?
- Algorithms of ML
- The relationship between Machine Learning and Finance
- Colleges
- MOOC's
- Bloggers
- Newsletters
- Podcasts
- Books
- Facebook Accounts
- Twitter Accounts
- YouTube Videos & Channels
- Telegram Channels
- Conferences
- Toolboxes - Environment
- Presentations
- Comics
- Tutorials
- Other Awesome Lists
- Udemy
This part is for coders who are new to Machine Learning
These questions should be answered at first, "What is Machine Learning?, What should I study to learn Machine Learning?, What is the relationship between Machine Learning and Finance? "
First of all, Machine Learning is a subset of Artificial Intelligence. ML is a method paradigm that makes inferences from existing data using mathematical and statistical methods and makes predictions about what is not known with these inferences.
Secondly, Our favorite programming language is Python nowadays for #MachineLearning.TensorFlow, Pandas, Numpy, Scikit learn, Matplotlib are Python Libraries which are used in Machine Learning.
- What is Machine Learning @ Quora
- Machine Learning @WikiZero
- Machine Learning @sas
- Machine Learning for Everyone
- Artificial Intelligence and Machine Learning @internetsociety
- A Short History of Machine Learning
- Awesome Machine Learning
These are some Machine Learning algorithms and models
Supervised Learning : All data is labeled and the algorithms learn to predict the output from the input data.
- Regression
- Linear Regression
- Ordinary Least Squares
- Logistic Regression
- Stepwise Regression
- Multivariate Adaptive Regression Splines
- Locally Estimated Scatterplot Smoothing
- Classification
- k-nearest neighbor
- Support Vector Machines
- Decision Trees
- ID3 algorithm
- C4.5 algorithm
- Ensemble Learning
- Boosting
- Bagging
- Random Forest
- AdaBoost
Unsupervised Learning : All data is unlabeled and the algorithms learn to inherent structure from the input data.
- Clustering
- Hierchical clustering
- k-means
- Fuzzy clustering
- Mixture models
- Neural Networks
- Self-organizing map
- Adaptive resonance theory
Semi-Supervised Learning : Some data is labeled but most of it is unlabeled and a mixture of supervised and unsupervised techniques can be used.
Reinforcement Learning : Learning what to do in an environment and how to map situations to actions to maximize a reward signal
- Q Learning
- SARSA (State-Action-Reward-State-Action) algorithm
- Temporal difference learning
- Genetic algorithm
- Deep Q-Network(DQN)
In addition, you can find ML map
- Machine learning in finance: Why, what & how
- Machine Learning in Finance – Present and Future Applications
- 50 free Machine Learning datasets: Finance and Economics
- Machine Learning in Finance
- Ten Financial Applications of Machine Learning
- 7 Ways Fintechs Use Machine Learning to Outsmart the Competition
- What is the TensorFlow machine intelligence platform?
- Stanford University (Stanford, CA)
- Harvard University (Cambridge, MA)
- Cornell University (Ithaca, NY)
- University of Maryland (College Park, MD)
- Columbia University (New York City, NY)
- University of Pittsburgh (Pittsburgh, PA)
- Advanced Machine Learning Specialization
- Machine Learning and Reinforcement Learning Specialization
- Oxford Machine Learning
- UBC Machine Learning - video
- O'reilly
- Springboard
- How To Start a Career In Artificial Intelligence In 2019?
- A Primer on AI & Machine Learning for Finance/Accounting
- Five Ways Machine Learning Will Change Your Finance Job in 2018
- Machine Learning-Based Classification of Market Phases
- Grokking Machine Learning
- Machine Learning with TensorFlow
- Machine Learning Systems
- Real-World Machine Learning
- Artificial intelligence and Machine Learning
- Data Mining / Machine Learning / Artificial Intelligence
- Machine Learning Mastery
- Machine Learning
- Google Cloud Platform
- Machine Learning
- Machine Learning Lab
- Machine Learning Mastery
- ICML Conference -A premier international conference for researchers on machine learning
- Soledad Galli-Machine Learning in Financial Credit Risk Assessment
- Charles Elkan,Goldman Sachs:Will Machine Learning Transform Finance?
- How we can apply Machine Learning in Finance
- Q5:Good Uses of Machine Learning in Finance . Max Margenot
- Machine Learning with TensorFlow(GDD Europe'17)
- Machine Learning
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Machine Learning Projection Methods for Macro-Finance Models
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Artifical Intelligence and Machine Learning in Financial Services
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TensorFlow-Machine Learning Zero to Hero
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Simplilearn - Machine Learning Basics | What Is Machine Learning? | Introduction To Machine Learning
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Google Cloud Platform-The 7 Steps of Machine Learning
- Machine Learning for Programming
- CamAIML
- Learning to Code: Machine Learning for Program Induction - Alexander Gaunt.
- Financial Machine Learning in 10 Minutes
- Machine Learning in Finance
- FinTech, AI, Machine Learning in Finance
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Machine Learning, Data Science and Deep Learning with Python
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TensorFlow 2.0: A Complete Guide on the Brand New TensorFlow
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TensorFlow-Machine Learning Zero to Hero
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Simplilearn - Machine Learning Basics | What Is Machine Learning? | Introduction To Machine Learning
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Google Cloud Platform-The 7 Steps of Machine Learning