Data Handling : Experience with SQL and data manipulation techniques.
Machine Learning : Solid understanding of supervised and unsupervised learning, neural networks, and ensemble methods.
Statistics : Knowledge of regression, distributions, hypothesis testing, and statistical modeling.
Big Data Tools : Familiarity with Hadoop, Spark, Hive.
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ML Engineer • Mississauga, ON
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