English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 2h 39m | 387 MB
Follow along with machine learning expert Advait Jayant through a combination of lecture and hands-on and master the practical aspects of Markov Chains for text generation (NLP).
The following nine topics will be covered in this Data Science and Machine Learning course:
- Introducing Markov Chains. Become comfortable with random variables, random processes (also known as stochastic processes), Markov Properties, and Markov Chains in this first topic in the Data Science and Machine Learning Series. Follow along with Advait and understand the power of Markov Chains using the example of the Google page rank.
- Setting up Markov Chains as a Supervised Learning Problem. Set up Markov Chains as a supervised learning problem in this second topic in the Data Science and Machine Learning Series.
- Training a Speech Generator. Train a speech generator using Markov Chains in this third topic in the Data Science and Machine Learning Series. Follow along with Advait and generate a nested dictionary.
- Sampling. Sample using Markov Chains in this fourth topic in the Data Science and Machine Learning Series. Follow along with Advait and practice generating the next character using sampling.
- Generating Continuous Text. Generate text continuously using the Markov Chain method that we have trained, in this fifth topic in the Data Science and Machine Learning Series.
- Creating a Rap Song Generator. Use an existing rap song to build a rap song generator with Markov Chains in this sixth topic in the Data Science and Machine Learning Series. Follow along with Advait and create your own rap song!
- Hidden Markov Models (HMMs). Become proficient with hidden Markov models (HMMs) in this seventh topic in the Data Science and Machine Learning Series. Learn about hidden Markov chains, which are widely used in speech recognition, writing recognition, object or face detection, and part-of-speech tagging.
- POS Tagging using HMMs. Become proficient in Point of Speech (POS) tagging using hidden Markov models (HMMs) in this eighth topic in the Data Science and Machine Learning Series. Understand Viterbi Decoding and handle unknown words during this session.
- mplementing POS Tagging using HMMs. Implement Point of Speech (POS) tagging using hidden Markov models (HMMs) in this ninth topic in the Data Science and Machine Learning Series.
Table of Contents
1 Introducing Markov Chains
2 Setting up Markov Chains as a Supervised Learning Problem
3 Training a Speech Generator
4 Sampling
5 Generating Continuous Text
6 Creating a Rap Song Generator
7 Hidden Markov Models (HMMs)
8 POS Tagging using HMMs
9 Implementing POS Tagging using HMMs
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