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▶What You Will Learn - Install the required packages to set up a data science coding environment - Load data into a Jupyter Notebook running Python - Use Matplotlib to create data visualizations - Fit a model using scikit-learn - Use lasso and ridge

▶What You Will Learn - Use Python to read and transform data into different formats - Generate basic statistics and metrics using data on disk - Work with computing tasks distributed over a cluster - Convert data from various sources into storage or

▶What You Will Learn ⦁ Explore the ROS and build a basic robotic system ⦁ Understand the architecture of neural networks ⦁ Identify conversation intents with NLP techniques ⦁ Learn and use the embedding with Word2Vec and GloVe ⦁ Build a basic CNN and

▶What You Will Learn ⦁ Understand the concept of supervised learning and its applications ⦁ Implement common supervised learning algorithms using machine learning Python libraries ⦁ Validate models using the k-fold technique ⦁ Build your models with

▶Book Description Though designing neural networks is a sought-after skill, it is not easy to master. With Keras, you can apply complex machine learning algorithms with minimum code. Applied Deep Learning with Keras starts by taking you through the b

▶Book Description Zabbix 4 Network Monitoring is the perfect starting point for monitoring the performance of your network devices and applications with Zabbix. Even if you’ve never used a monitoring solution before, this book will get you up and run

▶Book Description Windows Server 2019 is the latest version of Microsoft's flagship server operating system. It comes with PowerShell Version 5.1 and offers a variety of helpful new features. This book is designed to help you learn how you can use Po

▶Book Description Spring makes it easy to create RESTful applications, merge with social services, communicate with modern databases, secure your system, and make your code modular and easy to test. With the arrival of Spring Boot, developers can rea

▶What You Will Learn ⦁ Explore deep neural networks and various frameworks that can be used in R ⦁ Develop a joke recommendation engine to recommend jokes that match users’ tastes ⦁ Create powerful ML models with ensembles to predict employee attriti

▶What You Will Learn ⦁ Understand the important concepts in machine learning and data science ⦁ Use Python to explore the world of data mining and analytics ⦁ Scale up model training using varied data complexities with Apache Spark ⦁ Delve deep into

▶What You Will Learn ⦁ Grasp the mathematical theory behind neural networks and deep learning processes ⦁ Investigate and resolve computer vision challenges using convolutional networks and capsule networks ⦁ Solve generative tasks using variational