Niklas DongesinTowards Data ScienceThe Non-Technical Guide to Artificial IntelligenceAccording to McKinsey, AI will create an estimated $13 trillion of GDP growth between now and 2030.Jun 14, 20197Jun 14, 20197
Niklas DongesinTowards Data ScienceA Brief History of ASR: Automatic Speech RecognitionThis moment has been a long time coming. The technology behind speech recognition has been in development for over half a century, going…Mar 31, 2019Mar 31, 2019
Niklas DongesinTowards Data Science6 concepts of Andrew NG’s book: “Machine Learning Yearning”“Technical Strategy for AI Engineers, In the Era of Deep Learning”Feb 16, 20192Feb 16, 20192
Niklas DongesinTowards Data SciencePredicting the Survival of Titanic PassengersIn this blog-post, I will go through the whole process of creating a machine learning model on the famous Titanic dataset, which is used by…May 14, 201831May 14, 201831
Niklas DongesinTowards Data ScienceBasic Linear Algebra for Deep LearningThe concepts of Linear Algebra are crucial for understanding the theory behind Machine Learning, especially for Deep Learning. They give…Mar 26, 201827Mar 26, 201827
Niklas DongesinTowards Data ScienceData Types in StatisticsData Types are an important concept of statistics, which needs to be understood, to correctly apply statistical measurements to your data…Mar 18, 20186Mar 18, 20186
Niklas DongesinTowards Data ScienceIntro to Descriptive StatisticsDescriptive Statistical Analysis helps you to understand your data and is a very important part of Machine Learning. This is due to Machine…Feb 14, 20189Feb 14, 20189