Data Science and Machine Learning Series: Markov Chains for Text Generation (NLP)

MP4 | Video: AVC 916 x 514 | Audio: AAC 44 Khz 2ch | Duration: 02:39:26 | 384.01 MB
Genre: eLearning | Language: English

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.
Implementing 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.

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