SQL and RDBMS Basics
This article was originally posted here. If you meet 10 people who have been in data science for more than 5 years, chances are that all… Read More »SQL and RDBMS Basics
This article was originally posted here. If you meet 10 people who have been in data science for more than 5 years, chances are that all… Read More »SQL and RDBMS Basics
This article was written by Liang-Chieh Chen and Yukun Zhu. Semantic image segmentation, the task of assigning a semantic label, such as “road”, “sky”, “person”,… Read More »Semantic Image Segmentation with DeepLab in TensorFlow
This article was written by Alberto Quesada. The procedure used to carry out the learning process in a neural network is called the optimization… Read More »5 Algorithms to Train a Neural Network
This article was written by Laurel Brunk. Data scientists spend most of their time (up to 79%!) on the part of their job they hate… Read More »Why Every Data Scientist Needs A Data Engineer
This article was written by Tirthajyoti Sarkar. Acknowledgements Thanks to my CS7641 class at Georgia Tech in my MS Analytics program, where I discovered this concept and… Read More »When Bayes, Ockham, and Shannon come together to define machine learning
This article was written by Roopam Upadhyay. This article is a continuation of our manufacturing case study example to forecast tractor sales through time series and… Read More »Forecasting through ARIMA Modeling using R – Step-by-step Guide
This article was written by Alexandr Honchar. People use deep learning almost for everything today, and the “sexiest” areas of applications are computer vision, natural… Read More »Deep learning: the final frontier for signal processing and time series analysis?
This article was written by Sondos Atwi. In Machine Learning, Cross-validation is a resampling method used for model evaluation to avoid testing a model on the same… Read More »Cross-Validation: Concept and Example in R
This article was written by Giuseppe Bonaccorso. Stochastic Gradient Descent (SGD) is a very powerful technique, currently employed to optimize all deep learning models.… Read More »A Comprehensive Guide to Stochastic Gradient Descent Algorithms
This article was written by Soft Media Lab. It has the following sections. Contents What is Machine Learning? How to apply machine learning to business?… Read More »Using Machine Learning to Solve Business Problems