Speech Recognition
Key Components of Machine Learning
Using Algorithms for Predictions
Deep Learning
Tools for Effective Text Analytics Implementation
Understanding Key Concepts in Machine Learning
Text Mining Frameworks
Data Classification
Machine Learning Algorithms for Big Data 
Computationally expensive Neural Networks Supervised/Unsupervised Image
recognition, natural language processing Powerful for complex problems Requires large datasets, less interpretable
...Long training time Deep Learning Supervised/Unsupervised
Speech recognition, image classification Handles large volumes of data Requires extensive computational resources Applications of Machine
...
Key Components of Machine Learning Neural Networks Supervised/Unsupervised Complex pattern
recognition (e
...image and
speech recognition)
...
Using Algorithms for Predictions Image
recognition, text categorization Neural Networks Computational models inspired by the human brain that are used to recognize patterns
...Speech recognition, recommendation systems 3
...
Deep Learning Image
recognition, video analysis, and medical image diagnostics
...Natural language processing, time series prediction, and
speech recognition
...
Tools for Effective Text Analytics Implementation spaCy is particularly useful for tasks such as named entity
recognition and part-of-
speech tagging
...
Understanding Key Concepts in Machine Learning regression tasks Neural Networks Supervised Complex pattern
recognition (e
...image and
speech recognition) 3
...
Text Mining Frameworks Tokenization Part-of-
speech tagging Named entity
recognition Text classification Sentiment analysis
...
Data Classification Speech recognition, natural language processing K-Nearest Neighbors (KNN) A simple algorithm that classifies data points based on their proximity to other points
...
How to Choose Machine Learning Algorithms Neural Networks Supervised Complex tasks like image and
speech recognition ...
Approaches Neural Networks Computational models inspired by the human brain, useful for complex pattern
recognition ...Image and
speech recognition, natural language processing
...
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