PinnedPublished inTDS ArchiveBayes’ Theorem: Understanding Business Outcomes with EvidenceA practical introduction to Bayes’ Theorem: Probability for Data Science Series (2)Dec 12, 2024A response icon20Dec 12, 2024A response icon20
PinnedPublished inTDS ArchiveProbability Distributions: Poisson vs. Binomial DistributionUsing Soccer to Understand the Difference Between Poisson & Binomial: Probability for Data Science Series (3)Dec 10, 2024A response icon14Dec 10, 2024A response icon14
PinnedPublished inAI MindBreast ultrasound image cancer classification with VGG16 and PyTorch: Part 1Preprocessing + splitting the breast cancer ultrasound image dataset into a cross-validation (train) set and hold-out test set.Aug 13, 2023Aug 13, 2023
Published inData Science CollectiveHow Optimizers and Loss Functions Work in Machine LearningWhat those two lines in your model.compile() are really doing behind the scenes | Data Science for Machine Learning Series (4)May 4A response icon3May 4A response icon3
Published inData Science CollectiveWhy Backpropagation Is So Important For Models In Machine LearningHow gradients drive learning in neural networks | Data Science for Machine Learning Series (5)May 4A response icon4May 4A response icon4
Published inData Science CollectiveTransfer Learning: Why We Freeze and Unfreeze Model LayersChoosing the Right Layers to Freeze When Fine-tuning | Data Science for Machine Learning Series (3)Apr 30A response icon3Apr 30A response icon3
Being a Data Science Graduate in the Job Market Feels Like Running a Marathon in a HurricaneA reflectionApr 26Apr 26
Published inData Science CollectiveA Comprehensive Guide to Sqoop: SQL to Hadoop IntegrationHow Sqoop Makes Big Data Transfers Simple w/ Hadoop | Introduction to Big Data (3)Apr 21Apr 21
Understanding Hadoop MapReduce with a Log File ExampleHow MapReduce works | Introduction to Big Data (2.5)Apr 20Apr 20
Published inData Science CollectiveUnderstanding Hadoop BasicsBasics of HDFS and MapReduce | Introduction to Big Data (2)Apr 17Apr 17
