Machine Learning Algorithms Using Scikit and TensorFlow Environments

Machine learning is able to solve real-time problems. It has several algorithms such as classification, clustering, and more. To learn these essential algorithms, we require tools like Scikit and TensorFlow.

Machine Learning Algorithms Using Scikit and TensorFlow Environments assists researchers in learning and implementing these critical algorithms. Covering key topics such as classification, artificial neural networks, prediction, random forest, and regression analysis, this premier reference source is ideal for industry professionals, computer scientists, researchers, academicians, scholars, practitioners, instructors, and students.

The many academic areas covered in this publication include, but are not limited to:

• Artificial Neural Networks
• Classification
• Convolution Neural Network
• Decision Tree
• Ensemble Learning
• Machine Learning
• Neural Networks
• Prediction
• Random Forest
• Regression Analysis
• Scikit
• Support Vector Machine