With rise of Artificial Intelligence and Machine Learning (AI/ML) in all areas of life, in particular to Software and Data handling/analysis, infoWave is increasingly offering AI/ML services to alleviate the pains of analysing BIG Data.
We use Python language, and its repertoire of libraries for mathematical (NumPy), statistical (pandas), graph plotting (matplotlib/pyplot, seaborn), etc and Google Colab from Google Research to write and execute python code through browser.
Import (csv), study, prepare, clean and assess the needs to normalize the dataset
Model multiple hidden neural network layers using statistical and probabilistic functions from pandas and ML libraries, like TensorFlow function keras
Partition Data for train data and train data
model is fitted to train data,
Study the effect of hyper parameters, optimizers (like adam), and activation functions (like "relu"), Loss function (MSE) and establish the learning rates (.001)
The model is applied to test data for actual versus predicted values which are plotted on heat maps showing almost 95% accuracy.
The application of AI/ML Services has resulted in savings of time for the Financial, Retail and Semiconductor Industry