Mark Tabladillo

Mark Tabladillo Ph.D. is a data scientist at Microsoft. His career has focused on industry application of advanced analytics, using a variety of analytics tools including SAS, SQL Server Analysis Services, Cortana Intelligence (including Microsoft R Server and Microsoft Machine Learning Services), R, and Python.

He is formerly a Microsoft MVP in the areas of SQL Server and Data Platform. He has presented at numerous conferences in the United States, Europe, and Asia, but he still has a heart for the local area technical groups and Meetups. Mark has been a part-time faculty member at several universities, has taught undergraduate and graduate level statistics, mentored dissertations, and developed courses in analytics.

Courses

Course Title Duration Topic(s)
Introduction to Keras 01:01:22 Neural Networks, Deep Learning, Keras
Introduction to Deep Learning 01:11:16 Neural Networks, Deep Learning
Building Neural Networks with TensorFlow 00:57:50 TensorFlow, Neural Networks, Deep Learning
Building Neural Networks with MXNet 01:12:14 Neural Networks, MXNet, Deep Learning
Building Neural Networks with CNTK Using a Data Science Virtual Machine 01:11:51 Cognitive Toolkit, Neural Networks, Deep Learning, CNTK
Building Neural Networks with CNTK Using Apache Spark and Azure HDInsight 00:41:56 Cognitive Toolkit, Neural Networks, Deep Learning, CNTK
Clustering with Spark ML 01:10:03 Data Science, Spark, Azure, Machine Learning, Big Data
Recommendation with Spark ML 00:59:49 Data Science, Spark, Azure, Machine Learning, Big Data
Text Analytics with Spark ML 01:05:57 Data Science, Spark, Azure, Machine Learning, Big Data
Regression with Spark ML 01:06:39 Data Science, Spark, Azure, Machine Learning, Big Data
Classification with Spark ML 01:24:13 Data Science, Spark, Azure, Machine Learning, Big Data
Introduction to Spark 00:58:49 Data Science, Spark, Azure, Big Data
Business Intelligence Tools and Spark 01:02:01 Data Science, Spark, Azure, Big Data
Data Processing with Spark 2 00:48:21 Data Science, Spark, Azure, Big Data