Big Data Processing
- Big Data Analytics in IoT
- Cloud, Mobile and Edge computing
- Map Reduce Hadoop and Spark Mining Data Streams
- Large-Scale Machine Learning
Random Forest, Adaboost; Kmeans++, Decision Tree; Gradient Boost; Xgboost
- Natural Language Processing
Tokenisation; Stemming; Lemmatization; Stopwords
; Parts of Speech
Text Classification N Gram ; BoW; TFIDF; One Hot Encoding
Word Embeddings ( word2vec)
Named Entity Recognition
- Introduction to Deep Learning & Artificial Neural Networks
- ANN
Vanishing Gradient; Activation Function; Loss Function; Optimisers
- LSTM, GRU and Recurrent Neural Networks
Sentiment Analysis by Encoder–Decoder
- Overview of Tensor Flow, Distributing Across Devices and Servers
- Transformer Models
Attention Mechanism
BERT Model
Generative Pre-trained Transformers (GPT)
LLM Fundamentals