End-to-End Machine Learning: Design Data Pipelines Train Models and Deploy Intelligent Systems Using Python Paperback from other stores

  • End-to-End Machine Learning: Design Data Pipelines Train Models and Deploy Int... End-to-End Machine Learning: Design Data Pipelines Train Models and Deploy Intelligent Systems Using Python Machine learning is no longer limited to research labs or academic experiments. Today organizations rely on machine learning systems to power... more
  • Implement supervised and unsupervised machine learning algorithms using C++ li... Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API Caffe2 Shogun Shark-ML mlpack and dlib with the help of real-world examples and datasets Key Features - Become familiar with data... more
  • Implement supervised and unsupervised machine learning algorithms using C++ li... Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API Caffe2 Shogun Shark-ML mlpack and dlib with the help of real-world examples and datasets Key Features Become familiar with data processing... more
  • Build real-world machine learning systems not just models. Practical Machine L... Build real-world machine learning systems not just models. Practical Machine Learning Projects with Python is a hands-on project-driven guide designed to take you from theory to deployment. Instead of abstract concepts you ll build complete ML... more
  • Artificial Intelligence is no longer the future-it is the present. From recomm... Artificial Intelligence is no longer the future-it is the present. From recommendation systems and self-driving cars to chatbots and financial forecasting neural networks are powering the world s most transformative technologies. Yet for many... more
  • Explore all the tools and templates needed for data scientists to drive succes... Explore all the tools and templates needed for data scientists to drive success in their biotechnology careers with this comprehensive guide Key Features: Learn the applications of machine learning in biotechnology and life science sectors Discover... more
  • Apply supervised and unsupervised machine learning algorithms using C++ librar... Apply supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API Flashlight Blaze mlpack and dlib using real-world examples and datasets Key Features: - Familiarize yourself with data processing performance... more
  • Unlock the world of machine learning with this hands-on guide designed to teac... Unlock the world of machine learning with this hands-on guide designed to teach you the fundamentals of building intelligent systems using Python. Whether you re new to machine learning or have some experience this beginner-friendly book will walk... more
  • A comprehensive guide to get you up to speed with the latest developments of p... A comprehensive guide to get you up to speed with the latest developments of practical machine learning with Python and upgrade your understanding of machine learning (ML) algorithms and techniques Key Features Dive into machine learning algorithms... more
  • Book description: Machine learning is a branch of artificial intelligence that... Book description: Machine learning is a branch of artificial intelligence that designs algorithms that improve their performance based on empirical data. Machine learning is one of the most active and exciting fields of computer science today mainly... more
  • Learn how easy it is to apply sophisticated statistical and machine learning m... Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end... more
  • Learn how AI impacts the healthcare ecosystem through real-life case studies w... Learn how AI impacts the healthcare ecosystem through real-life case studies with TensorFlow 2.0 and other machine learning (ML) libraries. This book begins by explaining the dynamics of the healthcare market including the role of stakeholders such... more
  • Explore effective trading strategies in real-world markets using NumPy spaCy p... Explore effective trading strategies in real-world markets using NumPy spaCy pandas scikit-learn and Keras Key Features: Implement machine learning algorithms to build train and validate algorithmic models Create your own algorithmic design process... more
  • When I was starting my Python data analysis journey I was missing books or tut... When I was starting my Python data analysis journey I was missing books or tutorials which really cover all the topics involved when trying to conduct a sales analysis successfully. Especially when you are a complete newbie conducting an analysis... more
  • Design develop and validate machine learning models with streaming data using ... Design develop and validate machine learning models with streaming data using the Scikit-Multiflow framework. This book is a quick start guide for data scientists and machine learning engineers looking to implement machine learning models for... more
Items per page