Big data:
Hadoop, HDFS, Spark, Delta lake, Kafka, Kubernetes, Scala, RDD, Unstructured data, HIVE, MapReduce, Pig, HBase, HQL
ML & modeling:
Python, PySpark, Pandas, Scikit-learn, NumPy, Mahout, Azure ML, Tensor flow, deep learning
Word2vec, sentiment analysis, natural language processing, NLTK,
computer vision, OpenCV,
digital signal processing
SVM, ensemble models, random forest, gradient descent
Neural network, CNN, RNN, LSTM, reinforcement learning, transfer models
adversarial learning, decision trees, logistic regression, supervised machine learning
Naive Bayes, Gaussian. Markov,
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