4 of 4 Decision Tree Jobs in the South West

Testing Data Cleaning, Preprocessing, and Feature Engineering Data Visualization (e.g., Matplotlib, Seaborn, Plotly, Tableau) Machine Learning Fundamentals (e.g., Supervised, Unsupervised Learning) Machine Learning Algorithms (e.g., Regression, Classification, Clustering, Decision Trees, SVMs, Neural Networks) Model Evaluation and Validation Big Data Technologies (e.g., Spark, Hadoop - conceptual understanding) Database Querying (e.g., SQL) Cloud-based Data Platforms (e.g., AWS Sagemaker, Google AI More ❯

Testing Data Cleaning, Preprocessing, and Feature Engineering Data Visualization (e.g., Matplotlib, Seaborn, Plotly, Tableau) Machine Learning Fundamentals (e.g., Supervised, Unsupervised Learning) Machine Learning Algorithms (e.g., Regression, Classification, Clustering, Decision Trees, SVMs, Neural Networks) Model Evaluation and Validation Big Data Technologies (e.g., Spark, Hadoop - conceptual understanding) Database Querying (e.g., SQL) Cloud-based Data Platforms (e.g., AWS Sagemaker, Google AI More ❯

and ADX. Other services require a good working knowledge of Databricks, Logic Apps, and the Power Platform knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc) and their real-world advantages/drawbacks knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc More ❯

data analytics and insights initiatives. Reporting to the Head of FP&A - Systems & Controls, you’ll promote a data-driven culture and provide strategic insights to inform key decision-making at the executive level. You’ll define and lead FP&A’s MI strategy, embed advanced analytics and data science into performance reporting, and act as a strategic … and embrace change as an opportunity to grow. Technical skills required: Extensive experience in data management, MI analysis, and insights, with application of statistical methods to support strategic decision making, this doesn’t have to be from a Finance background. Experience working with machine learning techniques (e.g., clustering, decision trees, neural networks). Experience using programming More ❯