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- 86% Unsupervised Machine Learning Hidden Markov Models in Python

Unsupervised Machine Learning Hidden Markov Models in Python

$12.99Track price

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8.7/10 (Our Score)
Product is rated as #84 in category Machine Learning

The Hidden Markov Model or HMM is all about learning sequences.

A lot of the data that would be very useful for us to model is in sequences. Stock prices are sequences of prices. Language is a sequence of words. Credit scoring involves sequences of borrowing and repaying money, and we can use those sequences to predict whether or not you re going to default. In short, sequences are everywhere, and being able to analyze them is an important skill in your data science toolbox.

The easiest way to appreciate the kind of information you get from a sequence is to consider what you are reading right now. If I had written the previous sentence backwards, it wouldn t make much sense to you, even though it contained all the same words. So order is important.

While the current fad in deep learning is to use recurrent neural networks to model sequences, I want to first introduce you guys to a machine learning algorithm that has been around for several decades now – the Hidden Markov Model.

This course follows directly from my first course in Unsupervised Machine Learning for Cluster Analysis, where you learned how to measure the probability distribution of a random variable. In this course, you ll learn to measure the probability distribution of a sequence of random variables.

Instructor Details

Today, I spend most of my time as an artificial intelligence and machine learning engineer with a focus on deep learning, although I have also been known as a data scientist, big data engineer, and full stack software engineer. I received my masters degree in computer engineering with a specialization in machine learning and pattern recognition. Experience includes online advertising and digital media as both a data scientist (optimizing click and conversion rates) and big data engineer (building data processing pipelines). Some big data technologies I frequently use are Hadoop, Pig, Hive, MapReduce, and Spark. I've created deep learning models to predict click-through rate and user behavior, as well as for image and signal processing and modeling text. My work in recommendation systems has applied Reinforcement Learning and Collaborative Filtering, and we validated the results using A/B testing. I have taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Hunter College, and The New School. Multiple businesses have benefitted from my web programming expertise. I do all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies I've used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases I've used MySQL, Postgres, Redis, MongoDB, and more.

Specification: Unsupervised Machine Learning Hidden Markov Models in Python

Duration

9 hours

Year

2020

Level

All

Certificate

Yes

Quizzes

No

7 reviews for Unsupervised Machine Learning Hidden Markov Models in Python

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  1. Steve

    So far, so good. A good textbook reference to follow along with or pre read would be helpful. But the coding examples, along with the code respository, have been good so far.

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  2. krish J

    very good course

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  3. Jos ngel Hermosillo G mez

    There are a lot of vagueness in the explanations, the slides do not show the important facts. The problems to solve are not well explained and that implies not to figure out a properly well defined solution. There are more high quality free material in internet than this.

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  4. Vidhya Chandrasekaran

    Very in depth content

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  5. Arun Kumar Kumirishetty

    Started with the course and I’m liking it as I hardly worked on unsupervised models

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  6. Deepak Khandelwal

    good

    Helpful(0) Unhelpful(0)You have already voted this
  7. Josip Lazarevski

    The style of lecturing/ the git hub content managing is really poor. Maybe he has knowledge of the topic but he needs to polish how he is managing and transferring its knowledge.

    Helpful(0) Unhelpful(0)You have already voted this

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    Unsupervised Machine Learning Hidden Markov Models in Python
    Unsupervised Machine Learning Hidden Markov Models in Python

    $12.99

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