Advanced Machine Learning Specialization

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.

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Addressing Large Hadron Collider Challenges by Machine Learning (Coursera)

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 [...]
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Practical Reinforcement Learning (Coursera)

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 tasks --- also known as "the hype train"; state of the art RL algorithms--- and how [...]
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Average: 3 ( 4 votes )

Natural Language Processing (Coursera)

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-day work, propose approaches, and judge what techniques are likely to [...]
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Average: 10 ( 4 votes )

Deep Learning in Computer Vision (Coursera)

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 include face recognition and indexing, photo stylization or machine [...]
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Average: 8 ( 3 votes )

How to Win a Data Science Competition: Learn from Top Kagglers (Coursera)

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 such as credit, insurance, marketing, natural language processing, sales’ forecasting and computer vision [...]
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Average: 1 ( 3 votes )

Introduction to Deep Learning (Coursera)

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 stochastic optimization methods that are crucial for training deep neural networks. Learners [...]
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Average: 1 ( 3 votes )

Bayesian Methods for Machine Learning (Coursera)

People apply Bayesian methods in many areas: 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 allow us to estimate uncertainty in predictions, which is a desirable feature for fields like [...]
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Average: 5 ( 3 votes )