Meta-Guide.com

Resources:

• A curated list of awesome Machine Learning frameworks, libraries and software

Wikipedia:

• Machine learning

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)

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[182x Dec 2017]

• 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
• python machine learning tutorial
• 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
• AWS machine learning tutorial
• AWS Machine Learning tutorial
• 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
• Machine Learning Tutorial – Lab 1 – Creating a single metric job
• Prediction Using Weka Tool- Machine Learning Tutorial
• Coop’s Machine Learning Tutorial
• Random Forest Tutorial | Random Forest in R | Machine Learning | Data Science Training | Edureka
• Python Machine Learning Tutorial | Machine Learning Algorithms | Python Training | Edureka
• Part 2 Machine Learning With TensorFlow: TensorFlow TUTORIAL by Hieu Pham
• Machine Learning with R Tutorial: Review of k-means clustering
• Machine Learning with R Tutorial: Introduction to the Pokemon data
• Machine Learning with R Tutorial: How kmeans() works and practical matters
• Machine Learning with R Tutorial: Introduction to k-means Clustering
• Machine Learning with R Tutorial: Identifying Clustering Problems
• Machine Learning Tutorial: Measuring model performance
• Machine Learning Tutorial: The Classification Challenge
• Machine Learning Tutorial: Exploratory Data Analysis
• Machine Learning Tutorial: Supervised Learning
• Azure Machine Learning video tutorial
• Machine Learning Tutorial – How to Implement Machine Learning in Web Development
• Machine Learning tutorial for beginners with Spark and R projects
• Machine Learning Tutorial for Beginners 2017 | Introduction to Machine Learning With R
• Machine Learning Tutorial Part 1
• Machine Learning Tutorial – Examples using the K-means Clustering Algorithm
• Beginner Machine Learning Tutorial on Linux with Scikit-Learn and Python from Techarena51.com
• Lecture 5.6 — Octave Tutorial || Vectorization — [ Machine Learning | Andrew Ng]
• Lecture 5.7 — Octave Tutorial || Programming Exercises — [ Machine Learning | Andrew Ng]
• Lecture 5.4 — Octave Tutorial || Plotting Data — [ Machine Learning | Andrew Ng]
• Lecture 5.3 — Octave Tutorial || Computing On Data — [ Machine Learning | Andrew Ng]
• Lecture 5.2 — Octave Tutorial || Moving Data Around — [ Machine Learning | Andrew Ng]
• Lecture 5.1 — Octave Tutorial || Basic Operations — [ Machine Learning | Andrew Ng]
• UAI 2016 Tutorial: Parallel and High-performance Computing for Machine Learning
• R tutorial: Machine learning toolbox
• Machine Learning und Künstliche Intelligenz Tutorial Deutsch #1 – Einleitung und Infos zur Serie
• 5 Microsoft Azure Machine Learning Tutorial
• Machine Learning Library (scikit learn) | Python untuk Data Mining Tutorial 2
• 1 Machine Learning and Natural Language Processing Tutorial
• Tutorial: Climate Change: Challenges for Machine Learning
• Tutorial: A Practical Introduction To Machine Learning
• Machine learning Algorithm Scikit Cheatsheet Tutorial 13
• Machine Learning Prepare Data Tutorial 12
• AGI-16 Tutorial by Eray Özkural – Incremental Machine Learning in Artificial General Intelligence
• Machine Learning Tutorial 4 Unsupervised Learning
• Machine Learning Part 1 | SciPy 2016 Tutorial | Andreas Mueller & Sebastian Raschka
• Machine Learning Part 2 | SciPy 2016 Tutorial | Andreas Mueller & Sebastian Raschka
• Machine Learning Tutorial 3 Classification Vs Regression
• Machine Learning Tutorial 2 Supervised Learning Algorithms
• Machine Learning Tutorial 1 Introduction
• Machine Learning Tutorial Introduction Part -1
• 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)
• Machine Learning hackathon set-up – tutorial (1)
• 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
• Mahout Overview | Mahout Tutorial | Mahout Machine Learning | Edureka
• 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
• Experiment Database for Machine Learning Tutorial – SQL Querying
• Experiment Database for Machine Learning Tutorial – Graphical Querying