Advanced Machine Learning Specialization

开始时间: 07/02/2018 持续时间: Unknown

所在平台: Coursera专项课程

课程类别: 计算机科学

大学或机构: CourseraNew

   

课程主页: https://www.coursera.org/specializations/aml

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课程详情

This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps between theory and practice. Upon completion of 7 courses you will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings.

课程大纲

7 courses

Introduction to Deep Learning
Upcoming session: Jul 2
The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of linear models and discussion of st

How to Win a Data Science Competition: Learn from Top Kagglers
Upcoming session: Jul 2
If you want to break into competitive data science, then this course is for you! Participating in predictive modelling competitions can help you gain practical experience, improve and harness your data modelling skills in various domains

Bayesian Methods for Machine Learning
Upcoming session: Jul 2
Bayesian methods are used in lots of fields: from game development to drug discovery. They give superpowers to many machine learning algorithms: handling missing data, extracting much more information from small datasets. Bayesian methods also all

Practical Reinforcement Learning
Upcoming session: Jun 25
Welcome to the Reinforcement Learning course. Here you will find out about: - foundations of RL methods: value/policy iteration, q-learning, policy gradient, etc. --- with math & batteries included - using deep neural networks for RL t

Deep Learning in Computer Vision
Upcoming session: Jul 2
Deep learning added a huge boost to the already rapidly developing field of computer vision. With deep learning, a lot of new applications of computer vision techniques have been introduced and are now becoming parts of our everyday lives. These

Natural Language Processing
Upcoming session: Jul 2
This course covers a wide range of tasks in Natural Language Processing from basic to advanced: sentiment analysis, summarization, dialogue state tracking, to name a few. Upon completing, you will be able to recognize NLP tasks in your day-to-d

Addressing Large Hadron Collider Challenges by Machine Learning
Starts July 2018
The Large Hadron Collider (LHC) is the largest data generation machine for the time being. It doesn’t produce the big data, the data is gigantic. Just one of the four experiments generates thousands gigabytes per second. The intensity of data flow is only going to be increased over the time. So the data processing techniques have to be quite sophisticated and unique. In this course we’ll introduce students into the main concepts of the Physics behind those data flow so the main puzzles of the Universe Physicists are seeking answers for will be much more transparent. Of course we will scrutinize the major stages of the data processing pipelines, and focus on the role of the Machine Learning techniques for such tasks as track pattern recognition, particle identification, online real-time processing (triggers) and search for very rare decays. The assignments of this course will give you opportunity to apply your skills in the search for the New Physics using advanced data analysis techniques. Upon the completion of the course you will understand both the principles of the Experimental Physics and Machine Learning much better.

课程评论(1条)

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金_木水火土 2018-02-26 21:38 0 票支持; 0 票反对

嗨,我已关注。

Deep Learning Specialization on Coursera

课程简介

俄罗斯国立高等经济学院和Yandex联合推出的高级机器学习专项课程系列(Advanced Machine Learning Specialization),该系列授课语言为英语,包括深度学习,Kaggle数据科学竞赛,机器学习中的贝叶斯方法,强化学习,计算机视觉,自然语言处理等7门子课程,截止目前前4门课程已开,感兴趣的同学可以关注: Deep Dive Into The Modern AI Techniques-You will teach computer to see, draw, read, talk, play games and solve industry problems.

课程标签

机器学习 高级机器学习 高级机器学习专项课程 深度学习 强化学习 计算机视觉 自然语言处理 Kaggle 数据科学 数据科学竞赛 Kaggle竞赛 贝叶斯方法

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