Aktan AbdygazievIntro to Linear AlgebraApplication of linear algebra in deep learning is huge. We represent data in computer as tables and matrices. We learn dependencies of one…May 18, 2020May 18, 2020
Aktan AbdygazievBasic Operations with SetsTo remind someone who already know, and tell him/her who is encountering the first time, the core concepts of this mathematical science.May 11, 2020May 11, 2020
Aktan AbdygazievBuilding Blocks of Neural NetworksThe term deep learning describes a family of neural network models that have multiple layers of simple information processing programs…May 4, 2020May 4, 2020
Aktan AbdygazievData Transformations: Centering & ScalingTransformation of predictor features in most of the times is necessary for various reasons. One example is that the model might have its…Apr 27, 2020Apr 27, 2020
Aktan AbdygazievActivation Functions in Deep LearningIn deep learning, activation function is a function that defines the output of a node given an input or an array of inputs. There are many…Apr 20, 2020Apr 20, 2020
Aktan AbdygazievImportance of Feature SelectionWhen building machine learning algorithm we always want the best predictive ability, and simplicity or interpretability of the model. But…Mar 30, 2020Mar 30, 2020
Aktan AbdygazievEnsemble MethodEnsemble methods, or we can call them as collection of classifiers in machine learning.Mar 23, 2020Mar 23, 2020
Aktan AbdygazievComputer VisionLately, I have got into computer vision science. It is very interesting, and as it’s been said — “ A Picture is Worth a Thousand Words”.Mar 16, 2020Mar 16, 2020
Aktan AbdygazievSeasonality in Time Series DataWhat is seasonality? Simply, it is a repeating pattern within certain time period.Mar 9, 2020Mar 9, 2020
Aktan AbdygazievMonte Carlo Simulation on PythonIn finance, project management, energy, manufacturing, research, risk analysis and in many more areas Monte Carlo simulation is used to…Mar 2, 2020Mar 2, 2020
