100 Best Machine Learning Tutorial Videos

Notes:

Machine learning is a subfield of artificial intelligence that involves the development of algorithms and systems that can learn and adapt to new data and experiences without being explicitly programmed to do so. Machine learning algorithms are able to automatically improve their performance over time by analyzing and adapting to the data that they are exposed to.

There are many ways to learn about machine learning, and the quickest and easiest approach will depend on your background and learning style. Here are a few options:

1. Online courses: There are many online courses and tutorials that cover the basics of machine learning and provide hands-on experience building machine learning models. These courses often include video lectures, quizzes, and practical exercises that can help you learn the key concepts and techniques.
2. Books: There are also many books on machine learning that can provide a comprehensive introduction to the field. These books are often written by experts in the field and can provide a thorough overview of the key concepts and techniques.
3. Research papers: Reading research papers on machine learning can provide a deeper understanding of the field and help you stay up-to-date on the latest developments. Many research papers are available online through academic databases or the websites of research institutions.
4. Machine learning platforms: There are also platforms and tools that make it easy to get started with machine learning without needing to have a deep understanding of the underlying algorithms. These platforms often include pre-built models and libraries that can be used to build machine learning applications quickly and easily.

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