Resources:
Wikipedia:
References:
- In-depth introduction to machine learning in 15 hours of expert videos (2014)
- Encyclopedia of Machine Learning (2011)
See also:
Machine Learning | Machine Learning & Chatbots | Machine Learning & Dialog Systems | Machine Learning as a Service (MLaaS)
- ML Tutorial: Adversarial and Competitive Methods in Machine Learning (Amos Storkey)
- Machine Learning Basics | Machine Learning Tutorial | Data Science Tutorial | Intellipaat
- Introduction to Machine Learning | MLib | Apache Spark & Scala Tutorial
- Sentiment Analysis Using Machine Learning | Python | Sklearn | Beginner Tutorial
- Machine Learning And Artificial Intelligence Tutorial Part – 3 (Multiple Linear Regression)
- Eclat Association Rule Learning – Fun and Easy Machine Learning Tutorial
- Machine Learning And Artificial Intelligence Tutorial Part – 2 (Linear Regression)
- Machine Learning And Artificial Intelligence Tutorial Part – 1 (Python Environment)
- Jorge Nocedal: Tutorial on Optimization Methods for Machine Learning, Pt. 2
- MasterClass – Machine Learning Tutorial | Part 1
- MasterClass – Machine Learning Tutorial | Part 2
- AI and Machine Learning Free Tutorial Video | ZenRays
- Machine Learning #47 Decision Trees Tutorial
- Jorge Nocedal: Tutorial on Optimization Methods for Machine Learning, Pt. 2
- Machine Learning Tutorial Series in Urdu/Hindi [Trailer]
- Tutorial To Learn Basics of Machine Learning
- Machine Learning #24 Weka Tutorial For Beginners
- Apache Spark Machine Learning | Apache Spark Tutorial For Beginners | Simplilearn
- Detect Touch Gestures on an iPhone with Machine Learning – Tutorial
- Machine Learning – A Beginner Tutorial
- Jorge Nocedal: Tutorial on Optimization Methods for Machine Learning, Pt. 2
- Machine Learning with Python Tutorial with Live Examples 2017
- Machine Learning Tutorial – An Introduction to Machine Learning
- Machine Learning tutorial for beginners with Spark and R projects: Best Video
- Machine Learning Tutorial – Short Intro to Machine Learning in JavaScript
- Machine Learning Algorithms | Machine Learning Tutorial | Data Science Training
- Learn Data Science and Machine Learning A-Z Tutorial- By Experiments with Data Science
- Logistic Regression Machine Learning Method Using Scikit Learn and Pandas Python – Tutorial 31
- Big Data Analytics track vs Data Science / machine learning tutorial track – practically
- Machine Learning Tutorial – Parameter Tuning with Python and scikit-learn
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- Machine Learning Tutorial – Implications of Machine Learning Techniques for the Field of Statistics
- Machine Learning Tutorial – How do Machines Learn?
- Machine Learning In Python | Python Machine Learning Tutorial | Deep Learning Python | Edureka
- Machine Learning with scikit learn Part Two | SciPy 2017 Tutorial | Andreas Mueller & Alexandre Gram
- Machine Learning with scikit learn Part One | SciPy 2017 Tutorial | Andreas Mueller & Alexandre Gram
- Writing our own K Nearest Neighbors in Code Practical Machine Learning Tutorial with Python p17 720p
- Azure Machine Learning Tutorial
- Azure Machine Learning Tutorial
- Core ML Tutorial: Create a Simple Machine Learning App – Image Classification
- Machine Learning Introduction | Machine Learning Tutorial | Simplilearn
- Tutorial: Introduction to Machine Learning. Steps for mastering Machine Learning with R
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- Swift Core ML (Machine Learning) image recognition tutorial.
- Udacity – Machine Learning Engineer Nanodegree 2017 TUTORiAL
- Core ML Tutorial: Create a Simple Machine Learning App – Image Classification
- XGBoost GridSearchcv Random Forest on Mac – Machine Learning Tutorial Part 2
- XGBoost GridSearchcv Random Forest on Mac – Machine Learning Tutorial Part 3
- XGBoost GridSearchcv Random Forest on Mac – Machine Learning Tutorial Part 1
- Machine Learning Algorithms | Machine Learning Tutorial | Data Science Training | Edureka
- Install XGBoost on Mac – Machine Learning Tutorial Walkthrough
- Quant Trading Using Machine Learning – Free Intro Tutorial
- ISIT 2015 Tutorial: Information Theory Meets Machine Learning (1/3)
- ISIT 2015 Tutorial: Information Theory Meets Machine Learning (3/3)
- Machine Learning – A Beginner Tutorial
- Machine Learning Tutorial – Lab 3 – Detect outliers in a population
- Machine Learning Tutorial – Lab 2 – Creating a multi metric job
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- Machine Learning with R Tutorial: Review of k-means clustering
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- Machine Learning with R Tutorial: How kmeans() works and practical matters
- Machine Learning with R Tutorial: Introduction to k-means Clustering
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- Machine Learning Tutorial for Beginners 2017 | Introduction to Machine Learning With R
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- UAI 2016 Tutorial: Parallel and High-performance Computing for Machine Learning
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- AGI-16 Tutorial by Eray Özkural – Incremental Machine Learning in Artificial General Intelligence
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- Machine Learning Part 1 | SciPy 2016 Tutorial | Andreas Mueller & Sebastian Raschka
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- Machine Learning Tutorial 3 Classification Vs Regression
- Machine Learning Tutorial 2 Supervised Learning Algorithms
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- Mean Shift Dynamic Bandwidth – Practical Machine Learning Tutorial with Python p.42
- Mean Shift from Scratch – Practical Machine Learning Tutorial with Python p.41
- Mean Shift with Titanic Dataset – Practical Machine Learning Tutorial with Python p.40
- Mean Shift Intro – Practical Machine Learning Tutorial with Python p.39
- Tutorial: High-Performance Hardware for Machine Learning
- Python+Machine Learning tutorial – Introduction
- Python+Machine Learning tutorial – Working with textual data
- Python+Machine Learning tutorial – Data munging for predictive modeling with pandas and scikit-learn
- K Means from Scratch – Practical Machine Learning Tutorial with Python p.38
- Custom K Means – Practical Machine Learning Tutorial with Python p.37
- K Means with Titanic Dataset – Practical Machine Learning Tutorial with Python p.36
- Handling Non-Numeric Data – Practical Machine Learning Tutorial with Python p.35
- Clustering Introduction – Practical Machine Learning Tutorial with Python p.34
- Python+Machine Learning tutorial – Data munging for predictive modeling with pandas and scikit-learn
- Tutorial: High-Performance Hardware for Machine Learning
- SVM Parameters – Practical Machine Learning Tutorial with Python p.33
- Soft Margin SVM and Kernels with CVXOPT – Practical Machine Learning Tutorial with Python p.32
- Soft Margin SVM – Practical Machine Learning Tutorial with Python p.31
- Why Kernels – Practical Machine Learning Tutorial with Python p.30
- Kernels Introduction – Practical Machine Learning Tutorial with Python p.29
- Completing SVM from Scratch – Practical Machine Learning Tutorial with Python p.28
- SVM Optimization – Practical Machine Learning Tutorial with Python p.27
- SVM Training – Practical Machine Learning Tutorial with Python p.26
- Creating an SVM from scratch – Practical Machine Learning Tutorial with Python p.25
- Support Vector Machine Optimization – Practical Machine Learning Tutorial with Python p.24
- Support Vector Machine Fundamentals – Practical Machine Learning Tutorial with Python p.23
- Support Vector Assertion – Practical Machine Learning Tutorial with Python p.22
- Understanding Vectors – Practical Machine Learning Tutorial with Python p.21
- Support Vector Machine Intro and Application – Practical Machine Learning Tutorial with Python p.20
- Final thoughts on K Nearest Neighbors – Practical Machine Learning Tutorial with Python p.19
- Applying our K Nearest Neighbors Algorithm – Practical Machine Learning Tutorial with Python p.18
- Writing our own K Nearest Neighbors in Code – Practical Machine Learning Tutorial with Python p.17
- Euclidean Distance – Practical Machine Learning Tutorial with Python p.15
- K Nearest Neighbors Application – Practical Machine Learning Tutorial with Python p.14
- Classification w/ K Nearest Neighbors Intro – Practical Machine Learning Tutorial with Python p.13
- Testing Assumptions – Practical Machine Learning Tutorial with Python p.12
- Programming R Squared – Practical Machine Learning Tutorial with Python p.11
- R Squared Theory – Practical Machine Learning Tutorial with Python p.10
- How to program the Best Fit Line – Practical Machine Learning Tutorial with Python p.9
- How to program the Best Fit Slope – Practical Machine Learning Tutorial with Python p.8
- Regression How it Works – Practical Machine Learning Tutorial with Python p.7
- Pickling and Scaling – Practical Machine Learning Tutorial with Python p.6
- Regression forecasting and predicting – Practical Machine Learning Tutorial with Python p.5
- Regression Training and Testing – Practical Machine Learning Tutorial with Python p.4
- Regression Features and Labels – Practical Machine Learning Tutorial with Python p.3
- Regression Intro – Practical Machine Learning Tutorial with Python p.2
- Practical Machine Learning Tutorial with Python Intro p.1
- machine learning Cluster Analysis Tutorial with an Example
- ISIT 2015 Tutorial: Information Theory Meets Machine Learning (2/3)
- Building Mobile Game Solvers (Tutorial 5): Machine learning
- Tutorial on Random Forest Machine Learning Algorithm for Data Science
- Machine Learning Tutorial for JavaScript Hackers – Tips On Gathering and Pre-Processing Data
- Machine Learning Hackathon tutorial (2)
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- Jorge Nocedal: “Tutorial on Optimization Methods for Machine Learning, Pt. 3”
- Jorge Nocedal: “Tutorial on Optimization Methods for Machine Learning, Pt. 2”
- Jorge Nocedal: “Tutorial on Optimization Methods for Machine Learning, Pt. 1”
- Machine Learning with Scikit Learn | SciPy 2015 Tutorial | Andreas Mueller & Kyle Kastner Part II
- Machine Learning with Scikit Learn | SciPy 2015 Tutorial | Andreas Mueller & Kyle Kastner Part I
- Machine Learning with Mahout -Tutorial
- LIONway tutorial #1 – Lazy Machine Learning: Nearest Neighbors
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- Machine Learning Techniques for Data Science | Machine Learning Tutorial 1 | Data Science Tutorial
- Scikit Learn Linear SVC Example Machine Learning Tutorial with Python p. 11
- Scikit Learn Machine Learning Tutorial with Python p. 9
- Scikit Learn Machine Learning Tutorial with Python p. 8
- Scikit Learn Machine Learning Tutorial with Python p. 7
- Scikit Learn Machine Learning SVM Tutorial with Python p. 2 – Example
- Tutorial 1: Machine Learning and Human Computer Interaction — Roderick Murray-Smith
- Tutorial: How to Train a Neural Network with Azure Machine Learning
- Machine Learning with Mahout | Apache Mahout Tutorial | Edureka
- Tutorial scikit learn Machine Learning in Python with Contributor Jake VanderPlas 2
- NIPS 2012 Tutorial – Emma Brunskill, Geoffrey J Gordon – Machine Learning for Student Learning
- Tutorial: scikit-learn – Machine Learning in Python with Contributor Jake VanderPlas
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