{"title":"David Paper","description":null,"products":[{"product_id":"web-programming-for-business-book-david-paper-9780415818056","title":"Web Programming for Business","description":"Web Programming for Business: PHP Object-Oriented Programming with Oracle focuses on fundamental PHP coding, giving students practical, enduring skills to solve data and technical problems in business.   Using Oracle as the backend database, the book is version-neutral, teaching students code that will still work even with changes to PHP and Oracle. The code is clean, clearly explained and solutions-oriented, allowing students to understand how technologies such as XML, RSS or AJAX can be leveraged in business applications. 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The book combines the Anaconda Python distribution with the popular Scikit-Learn library to demonstrate a wide range of supervised and unsupervised machine learning algorithms. Care is taken to walk you through the principles of machine learning through clear examples written in Python that you can try out and experiment with at home on your own machine. All applied math and programming skills required to master the content are covered in this book. In-depth knowledge of object-oriented programming is not required as working and complete examples are provided and explained. Coding examples are in-depth and complex when necessary. They are also concise, accurate, and complete, and complement the machine learning concepts introduced. Working the examples helps to build the skills necessary to understand and apply complexmachine learning algorithms. Hands-on Scikit-Learn for Machine Learning Applications is an excellent starting point for those pursuing a career in machine learning. Students of this book will learn the fundamentals that are a prerequisite to competency. Readers will be exposed to the Anaconda distribution of Python that is designed specifically for data science professionals, and will build skills in the popular Scikit-Learn library that underlies many machine learning applications in the world of Python.  What You'll Learn  Work with simple and complex datasets common to Scikit-Learn  Manipulate data into vectors and matrices for algorithmic processing  Become familiar with the Anaconda distribution used in data science Apply machine learning with Classifiers, Regressors, and Dimensionality Reduction  Tune algorithms and find the best algorithms for each dataset  Load data from and save to CSV, JSON, Numpy, and Pandas formats    Who This Book Is For The aspiring data scientist yearning to break into machine learning through mastering the underlying fundamentals that are sometimes skipped over in the rush to be productive. Some knowledge of object-oriented programming and very basic applied linear algebra will make learning easier, although anyone can benefit from this book.","brand":"WoB","offers":[{"title":"US \/ GOOD \/ SBYB","offer_id":50385286234385,"sku":"CIN1484253728G","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52336456040721,"sku":"NLS9781484253724","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":52748967182609,"sku":"NIN9781484253724","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1484253728.jpg?v=1751053453"},{"product_id":"state-of-the-art-deep-learning-models-in-tensorflow-book-david-paper-9781484273401","title":"State-of-the-Art Deep Learning Models in TensorFlow","description":"Use TensorFlow 2.x in the Google Colab ecosystem to create state-of-the-art deep learning models guided by hands-on examples. The Colab ecosystem provides a free cloud service with easy access to on-demand GPU (and TPU) hardware acceleration for fast execution of the models you learn to build. This book teaches you state-of-the-art deep learning models in an applied manner with the only requirement being an Internet connection. The Colab ecosystem provides everything else that you need, including Python, TensorFlow 2.x, GPU and TPU support, and Jupyter Notebooks.     The book begins with an example-driven approach to building input pipelines that feed all machine learning models. You will learn how to provision a workspace on the Colab ecosystem to enable construction of effective input pipelines in a step-by-step manner. From there, you will progress into data augmentation techniques and TensorFlow datasets to gain a deeper understanding of how to work with complex datasets. You will find coverage of Tensor Processing Units (TPUs) and transfer learning followed by state-of-the-art deep learning models, including autoencoders, generative adversarial networks, fast style transfer, object detection, and reinforcement learning.     Author Dr. Paper provides all the applied math, programming, and concepts you need to master the content. Examples range from relatively simple to very complex when necessary. Examples are carefully explained, concise, accurate, and complete. Care is taken to walk you through each topic through clear examples written in Python that you can try out and experiment with in the Google Colab ecosystem in the comfort of your own home or office.        What You Will Learn  Take advantage of the built-in support of the Google Colab ecosystem Work with TensorFlow data sets  Create input pipelines to feed state-of-the-art deep learning models  Create pipelined state-of-the-art deep learning models with clean and reliable Python code  Leverage pre-trained deep learning models to solve complex machine learning tasks  Create a simple environment to teach an intelligent agent to make automated decisions     Who This Book Is For Readers who want to learn the highly popular TensorFlow deep learning platform, those who wish to master the basics of state-of-the-art deep learning models, and those looking to build competency with a modern cloud service tool such as Google Colab","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":51029528576273,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":51029531459857,"sku":"NIN9781484273401","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52532983922961,"sku":"NLS9781484273401","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1484273400.jpg?v=1750924143"},{"product_id":"web-programming-for-business-book-david-paper-9780415818049","title":"Web Programming for Business","description":"Web Programming for Business: PHP Object-Oriented Programming with Oracle focuses on fundamental PHP coding, giving students practical, enduring skills to solve data and technical problems in business.   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This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate. The book is a necessary precursor to applying and implementing machine learning algorithms.  The book is self-contained. All of the math, statistics, stochastic, and programming skills required to master the content are covered. In-depth knowledge of object-oriented programming isn’t required because complete examples are provided and explained. Data Science Fundamentals with Python and MongoDB is an excellent starting point for those interested in pursuing a career in data science. Like any science, the fundamentals of data science are a prerequisite to competency. Without proficiency in mathematics, statistics, data manipulation, and coding, the path to success is “rocky” at best. The coding examples in this book are concise, accurate, and complete, and perfectly complement the data science concepts introduced.  What You'll Learn  Prepare for a career in data science  Work with complex data structures in Python  Simulate with Monte Carlo and Stochastic algorithms  Apply linear algebra using vectors and matrices  Utilize complex algorithms such as gradient descent and principal component analysis  Wrangle, cleanse, visualize, and problem solve with data  Use MongoDB and JSON to work with data   Who This Book Is For  The novice yearning to break into the data science world, and the enthusiast looking to enrich, deepen, and develop data science skills through mastering the underlying fundamentalsthat are sometimes skipped over in the rush to be productive. Some knowledge of object-oriented programming will make learning easier.","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":51725994361105,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ GOOD \/ SBYB","offer_id":51725994492177,"sku":"CIN1484235967G","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52484505370897,"sku":"NLS9781484235966","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":52748957548817,"sku":"NIN9781484235966","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1484235967.jpg?v=1751273683"},{"product_id":"tensorflow-2-x-in-the-colaboratory-cloud-book-david-paper-9781484266489","title":"TensorFlow 2.x in the Colaboratory Cloud","description":"Intermediate-Advanced user level","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52488926724369,"sku":"NLS9781484266489","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":52748956205329,"sku":"NIN9781484266489","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9781484266489.jpg?v=1759877922"}],"url":"https:\/\/www.worldofbooks.com\/en-gb\/collections\/author-books-by-david-paper.oembed","provider":"World of Books ","version":"1.0","type":"link"}