Machine Learning
Overview / Introduction
Courses from MOOC
Publications
Useful weblinks
YouTube videos
Machine Learning
Overview/Introduction
Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns, and make decisions with minimal human intervention. Machine learning has become important nowadays due to the non-stop growing volumes and variety of available data, as well as the fact that computational processing is cheaper and more powerful and data storage is more affordable.
Keywords: Machine learning, deep learning, artificial intelligence, programming, neural networks, Python, PyTorch, TensorFlow, Matlab, R
Courses from MOOC
Coursera
- Machine Learning: https://www.coursera.org/learn/machine-learning
- Neural Networks and deep learning: https://www.coursera.org/learn/neural-networks-deep-learning
- Machine Learning for All: https://www.coursera.org/learn/uol-machine-learning-for-all
- Introduction to Machine Learning: https://www.coursera.org/learn/machine-learning-duke
- AI for everyone: https://www.coursera.org/learn/ai-for-everyone
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: https://www.coursera.org/learn/introduction-tensorflow
edX
- Machine Learning with Python: A Practical Introduction: https://www.edx.org/course/machine-learning-with-python-a-practical-introduct
- Machine Learning Fundamentals: https://www.edx.org/course/machine-learning-fundamentals-2
- AI for Everyone: Master the Basics: https://www.edx.org/course/artificial-intelligence-for-everyone
- Artificial Intelligence (AI): https://www.edx.org/course/artificial-intelligence-ai
- PyTorch Basics for Machine Learning: https://www.edx.org/course/pytorch-basics-for-machine-learning
Udemy
- Machine Learning A-Z™: Hands-On Python & R In Data Science: https://www.udemy.com/course/machinelearning/
- Machine Learning, Data Science and Deep Learning with Python: https://www.udemy.com/course/data-science-and-machine-learning-with-python-hands-on/
- Deep Learning A-Z™: Hands-On Artificial Neural Networks: https://www.udemy.com/course/deeplearning/
- Artificial Neural Network and Machine Learning using MATLAB: https://www.udemy.com/course/artificial-neural-network-and-machine-learning-using-matlab/
- Machine Learning, Deep Learning & Neural Networks in Matlab: https://www.udemy.com/course/deep-learning-neural-networks-in-matlab-mnist/
OpenHPI
- Künstliche Intelligenz und Maschinelles Lernen in der Praxis: https://open.hpi.de/courses/kipraxis2021
- Computational Learning Theory and Beyond: https://open.hpi.de/courses/learningtheory2020
- Künstliche Intelligenz und maschinelles Lernen für Einsteiger: https://open.hpi.de/courses/kieinstieg2020
- Praktische Einführung in Deep Learning für Computer Vision: https://open.hpi.de/courses/neuralnets2020
Udacity
- Deep Learning: https://www.udacity.com/course/deep-learning-nanodegree--nd101
- AI Programming with Python: https://www.udacity.com/course/ai-programming-python-nanodegree--nd089
- Deep Reinforcement Learning Expert: https://www.udacity.com/course/deep-reinforcement-learning-nanodegree--nd893
- Artificial Intelligence: https://www.udacity.com/course/ai-artificial-intelligence-nanodegree--nd898
OpenSAP
- Exploring the World of AI: https://open.sap.com/courses/ai1
- SAP Data Intelligence for Enterprise AI: https://open.sap.com/courses/di1
- Creating Trustworthy and Ethical Artificial Intelligence: https://open.sap.com/courses/aie1-tl
- Enterprise Deep Learning with TensorFlow: https://open.sap.com/courses/ml2
Alison
- Introduction to Tensor Flow Machine Learning: https://alison.com/course/introduction-to-tensor-flow-machine-learning
- Machine Learning for Apps: https://alison.com/course/machine-learning-for-apps
- Machine Learning: Planning and Decision Making: https://alison.com/course/machine-learning-planning-and-decision-making
- Machine Learning with Artificial Intelligence: https://alison.com/course/machine-learning-with-artificial-intelligence
- Recurrent Neural Networks and TensorFlow Customization: https://alison.com/course/recurrent-neural-networks-and-tensorflow-customization
Future Learn
- Applications of AI Technology: https://www.futurelearn.com/courses/artificial-intelligence-technology-application
- Artificial Intelligence in Bioinformatics: https://www.futurelearn.com/courses/artificial-intelligence-in-bioinformatics
- Introduction to Creative AI: https://www.futurelearn.com/courses/introduction-to-creative-ai
- Applied Artificial Intelligence: Natural Language Processing: https://www.futurelearn.com/courses/cloudswyft-msft-natural-language-processing-advanced
- Mathematics for Data Science: Essential Mathematics for Machine Learning and AI: https://www.futurelearn.com/courses/essential-mathematics-for-mla-et
Kadenze Academy
- Machine Learning for Musicians and Artists: https://www.kadenze.com/courses/machine-learning-for-musicians-and-artists-v/info
- Machine Learning for Music Information Retrieval: https://www.kadenze.com/courses/machine-learning-for-music-information-retrieval/info
- Generative Art and Computational Creativity: https://www.kadenze.com/courses/generative-art-and-computational-creativity-i/info
Open Classrooms
- Destination AI: Introduction to Artificial Intelligence: https://openclassrooms.com/en/courses/7078811-destination-ai-introduction-to-artificial-intelligence
- Train a Supervised Machine Learning Model: https://openclassrooms.com/en/courses/6389626-train-a-supervised-machine-learning-model
Shaw Academy
- Artificial Intelligence Course Online: https://www.shawacademy.com/courses/technology/ai-machine-learning/
Linkedin Learning
- Artificial Intelligence Foundations: Machine Learning: https://www.linkedin.com/learning/artificial-intelligence-foundations-machine-learning
- Applied Machine Learning: Foundations: https://www.linkedin.com/learning/applied-machine-learning-foundations
- Artificial Intelligence Foundations: Neural Networks: https://www.linkedin.com/learning/artificial-intelligence-foundations-neural-networks
Datacamp
- Machine Learning for Everyone: https://www.datacamp.com/courses/machine-learning-for-everyone
- Designing Machine Learning Workflows in Python: https://www.datacamp.com/courses/designing-machine-learning-workflows-in-python
Kaggle
- Intro to Machine Learning: https://www.kaggle.com/learn/intro-to-machine-learning
- Intro to Deep Learning: https://www.kaggle.com/learn/intro-to-deep-learning
- Machine Learning Explainability: https://www.kaggle.com/learn/machine-learning-explainability
- Intro to Game AI and Reinforcement Learning: https://www.kaggle.com/learn/intro-to-game-ai-and-reinforcement-learning
Great Learning
- Basics of Machine Learning: https://www.mygreatlearning.com/academy/learn-for-free/courses/basics-of-machine-learning-1
- Statistics for Machine Learning: https://www.mygreatlearning.com/academy/learn-for-free/courses/statistics-for-machine-learning
- Python for Machine Learning: https://www.mygreatlearning.com/academy/learn-for-free/courses/python-for-machine-learning
- Introduction to Deep Learning: https://www.mygreatlearning.com/academy/learn-for-free/courses/introduction-to-deep-learning
- Introduction to Neural Networks and Deep Learning: https://www.mygreatlearning.com/academy/learn-for-free/courses/introduction-to-neural-networks-and-deep-learning
Simpl!Learn
- Machine Learning: https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course
- Deep Learning with Keras and TensorFlow: https://www.simplilearn.com/deep-learning-course-with-tensorflow-training
Publications
Books
Machine Learning A Probabilistic Perspective. By Kevin Murphy. Link here
Lifelong Machine Learning. By Zhiyuan Chen, Bing Liu. Link here
Deep Learning. By Ian Goodfellow, Yoshua Bengio, Aaron Courville. Link here
Introduction to Machine Learning. By Ethem Alpaydi. Link here
Foundations of Machine Learning. By Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar. Link here
Journals, Published articles and Newspaper articles
Cornell University (arXiv.org). Machine Learning. https://arxiv.org/list/stat.ML/recent
Machine Learning: A Review of the Algorithms and Its Applications. Dhall et al. (2019). https://link.springer.com/chapter/10.1007/978-3-030-29407-6_5
Massachusetts Institute of Technology. MIT News in Machine Learning. https://news.mit.edu/topic/machine-learning
Phys.org. Machine Learning & AI news. https://phys.org/technology-news/machine-learning-ai/
Useful weblinks
Scientific Machine Learning at Heidelberg University (inlcuding a list of all professors of UNI, DKFZ, EMBL, ZI, HITS and UKHD who are working on AI, descriptions of individual LABS as well as information on training, interesting talks, events and much more): https://www.mlai.uni-heidelberg.de/en
DeepLearning.AI: https://www.deeplearning.ai/
Machine Learning Mastery: https://machinelearningmastery.com/
Machine Learning Tutorial: https://www.javatpoint.com/machine-learning
Artificial Intelligence Tutorial: https://www.javatpoint.com/artificial-intelligence-tutorial
Great Learning: https://www.mygreatlearning.com/blog/
Machine Learning Crash Course (Google): https://developers.google.com/machine-learning/crash-course
Artificial Intelligence Tutorial: https://www.guru99.com/artificial-intelligence-tutorial.html
Machine Learning Tutorial: https://www.guru99.com/machine-learning-tutorial.html
Getting stated with Machine Learning: https://data-flair.training/blogs/machine-learning-tutorials-home/
Machine Learning tutorials: https://developer.ibm.com/technologies/machine-learning/tutorials/
What is Machine Learning? A Definition. https://www.expert.ai/blog/machine-learning-definition/
YouTube videos
Neural networks. Link here
Stanford CS229: Machine Learning | Autumn 2018. Link here
Künstliche Intelligenz vs. Machine Learning vs. Deep Learning. Link here
Neuronale Netze - Basiswissen. Link here
