Auteur: Ciaburro Giuseppe Ciaburro

Unleash Google’s Cloud Platform to build, train and optimize machine learning models Key Features

• Get well versed in GCP pre-existing services to build your own smart models
• A compr …

Build effective regression models in R to extract valuable insights from real data About This Book Implement different regression analysis techniques to solve common problems in data science – from d …

Leverage the power of Microsoft Azure Data Factory v2 to build hybrid data solutions Key Features

• Combine the power of Azure Data Factory v2 and SQL Server Integration Services
• Desi …

Reinforcement learning has evolved a lot in the last couple of years and proven to be a successful technique in building smart and intelligent AI networks. Keras Reinforcement Learning Projects insta …

Demonstrate fundamentals of Deep Learning and neural network methodologies using Keras 2.x Key Features

• Experimental projects showcasing the implementation of high-performance deep learning …

Discover powerful ways to effectively solve real-world machine learning problems using key libraries including scikit-learn, Tensor Flow, and Py Torch Key Features Learn and implement machine learnin …

Enhance your simulation modeling skills by creating and analyzing digital prototypes of a physical model using Python programming with this comprehensive guide Key Features Learn to create a digital …

Extract patterns and knowledge from your data in easy way using MATLAB About This Book

• Get your first steps into machine learning with the help of this easy-to-follow guide
• Learn re …

Uncover the power of artificial neural networks by implementing them through R code. About This Book

• Develop a strong background in neural networks with R, to implement them in your applicat …

Simulation modelling is an exploration method that aims to imitate physical systems in a virtual environment and retrieve useful statistical inferences from it. The ability to analyze the model as it …