English | MP4 | AVC 1920×1080 | AAC 44KHz 2ch | 1h 14m | 329 MB
Explore the world of sequence learning in Python-text, speech, and more
Enter and explore the fascinating world of intelligent apps with Artificial Intelligence with Python. Artificial Intelligence is becoming increasingly relevant in the modern world. By harnessing the power of algorithms, you can create apps that intelligently interact with the world around you, automatic speech recognition systems, and more.
This course takes a concept-based, explanation-focused approach. Each concept is explained and then the exercise or example is implemented.
What You Will Learn
- Build automatic speech recognition systems
- Discover how to build intelligent applications centered on text and time series data
Table of Contents
01 The Course Overview
02 Introduction and Installation of Packages
03 Tokenizing Text Data
04 Converting Words to Their Base Forms
05 Dividing Text Data into Chunks
06 Extracting the Frequency of Terms Using a Bag of Words Model
07 Building a Category Predictor
08 Constructing a Gender Identifier
09 Building a Sentiment Analyzer
10 Topic Modeling Using Latent Dirichlet Allocation
11 Understanding Sequential Data
12 Handling Time-Series Data with Pandas
13 Slicing Time-Series Data
14 Operating on Time-Series Data
15 Extracting Statistics from Time-Series Data
16 Generating Data Using Hidden Markov Models
17 Identifying Alphabet Sequences with Conditional Random Fields
18 Stock Market Analysis
19 Working with Speech Signals
20 Visualizing Audio Signals
21 Transforming Audio Signals to the Frequency Domain
22 Generating Audio Signals
23 Synthesizing Tones to Generate Music
24 Extracting Speech Features
25 Recognizing Spoken Words
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