Translated material
10 online training courses
The greenhouse of social technologies has compiled a small selection of online training course. The material presents Russian and foreign curricula, most of which are free.
1. Neural Networks for Machine Learning by University of Toronto
Free 4-month course on Coursera. Lecturer is a cognitive psychologist. The course program includes Persepthron training (a model of perception of information from the brain), recognition of objects using neural networks, neural networks of Deep Belief . After the consideration of each of the algorithms, practical tips on its use are given to solve the problems of machine learning. However, the course has a high threshold of entry - there will be a lot of mathematics.
The page of the course
2. Machine Learning with Big Data from University of California
The course is suitable for all those who want to know the basics of working with big data and with what tools you can create prognostic models.
3. "Introduction to machine learning" from NRU HSE and "Yandex"
The HSE course was created with the participation of specialists of the Yandex School, therefore, it is based on the tasks based on real data. Students will learn about the main methods of machine learning and their features, learn to evaluate the quality of models and their suitability to solve a specific problem. Students expect knowledge about the basic concepts of mathematics and basic programming skills.
The page of the course
4. "Machine Learning" by Stanford University
The course will introduce the most effective machine learning algorithms, the students will have the opportunity to get experience of their practical application. The Stanford course also promises the best innovative practices of Silicon Valley. The most wide introduction to machine learning, Data Mining and statistical methods of recognition of images. However, it must be taken into account that students do not perform practical tasks with Python, but in Octave.
5. "Machine Learning Foundations: A Case Study Approach" from University of Washington
Professors from the University of Washington give practical examples with real data sets during the course, without overloading the course in an in -depth study, focusing precisely on meeting the topic.
6. "Machine training" from "Yandex School"
The course considers the main tasks of learning on precedents: classification, clustering, regression, decrease in dimension. The methods of their solutions are studied, both classical and new, created over the past 10-15 years. In fact, this is a more advanced version of the joint course of Yandex and HSE.
The page of the course
7. "Machine Training and Data Analysis" from MFTI and Yandex Data Factory
Scientists of the Moscow Physics and Technical Institute (MIPT) and practice from Yandex have joined efforts to create this course on data analysis and machine learning. The course is divided into several parts: “Mathematics and Python for data analysis”, “Teaching on the marked data”, “Search for a structure in data”, “Building conclusions according to data”, “Applied data analysis tasks”.
The page of the course
8. Practical Machine Learning from Johns Hopkins University
A course from a private research university holding high positions in university ratings. Classes will last 4 weeks, the authors - professor of biostatistic from Bloomberg School of Public Health.
9. Cognitive Services Apis by Microsoft
The leading world manufacturer Soft will talk about the possibilities of machine learning on the example of his platform for recognizing Cognitive Service .
10. Intro to Machine Learning
The most quarry -oriented machine for machine learning. At UDACITY, it is built into a chain of courses, which is called nanodegree program and, ultimately, allows you to obtain the knowledge necessary for work at the Data Analyst position. One of the curators of the course is Professor Stanford and co -founder of the Udacy Sebastian Thrun.