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.
|Introduction to Deep Learning||01:11:16||Neural Networks, Deep Learning||01 Feb 2018|
|Building Neural Networks with TensorFlow||00:57:50||Deep Learning, Neural Networks, TensorFlow||01 Feb 2018|
|Building Neural Networks with MXNet||01:12:14||Neural Networks, Deep Learning, MXNet||01 Feb 2018|
|Building Neural Networks with CNTK Using a Data Science Virtual Machine||01:11:51||Cognitive Toolkit, Neural Networks, Deep Learning, CNTK||21 Nov 2017|
|Building Neural Networks with CNTK Using Apache Spark and Azure HDInsight||00:41:56||CNTK, Deep Learning, Neural Networks, Cognitive Toolkit||21 Nov 2017|
|Clustering with Spark ML||01:10:03||Machine Learning, Big Data, Data Science, Azure, Spark||12 Sep 2017|
|Recommendation with Spark ML||00:59:49||Azure, Spark, Data Science, Machine Learning, Big Data||12 Sep 2017|
|Text Analytics with Spark ML||01:05:57||Spark, Azure, Data Science, Machine Learning, Big Data||11 Sep 2017|
|Regression with Spark ML||01:06:39||Machine Learning, Azure, Data Science, Big Data, Spark||11 Sep 2017|
|Classification with Spark ML||01:24:13||Spark, Azure, Data Science, Machine Learning, Big Data||11 Sep 2017|
|Introduction to Spark||00:58:49||Big Data, Azure, Data Science, Spark||05 Sep 2017|
|Business Intelligence Tools and Spark||01:02:01||Spark, Data Science, Azure, Big Data||05 Sep 2017|
|Data Processing with Spark 2||00:48:21||Big Data, Data Science, Azure, Spark||05 Sep 2017|