{"product_id":"data-augmentation-with-python-enhance-deep-learning-accuracy-with-data-augmentation-methods-for-image-text-audio-and-tabular-data-paperback","title":"Data Augmentation with Python: Enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data - Paperback","description":"\u003cp\u003eby \u003cb\u003eDuc Haba\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBoost your AI and generative AI accuracy using real-world datasets with over 150 functional object-oriented methods and open source libraries\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePurchase of the print or Kindle book includes a free PDF eBook\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eExplore beautiful, customized charts and infographics in full color\u003c\/li\u003e\n\u003cli\u003eWork with fully functional OO code using open source libraries in the Python Notebook for each chapter\u003c\/li\u003e\n\u003cli\u003eUnleash the potential of real-world datasets with practical data augmentation techniques\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eData is paramount in AI projects, especially for deep learning and generative AI, as forecasting accuracy relies on input datasets being robust. Acquiring additional data through traditional methods can be challenging, expensive, and impractical, and data augmentation offers an economical option to extend the dataset.\u003c\/p\u003e\u003cp\u003eThe book teaches you over 20 geometric, photometric, and random erasing augmentation methods using seven real-world datasets for image classification and segmentation. You'll also review eight image augmentation open source libraries, write object-oriented programming (OOP) wrapper functions in Python Notebooks, view color image augmentation effects, analyze safe levels and biases, as well as explore fun facts and take on fun challenges. As you advance, you'll discover over 20 character and word techniques for text augmentation using two real-world datasets and excerpts from four classic books. The chapter on advanced text augmentation uses machine learning to extend the text dataset, such as Transformer, Word2vec, BERT, GPT-2, and others. While chapters on audio and tabular data have real-world data, open source libraries, amazing custom plots, and Python Notebook, along with fun facts and challenges.\u003c\/p\u003e\u003cp\u003eBy the end of this book, you will be proficient in image, text, audio, and tabular data augmentation techniques.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eWrite OOP Python code for image, text, audio, and tabular data\u003c\/li\u003e\n\u003cli\u003eAccess over 150,000 real-world datasets from the Kaggle website\u003c\/li\u003e\n\u003cli\u003eAnalyze biases and safe parameters for each augmentation method\u003c\/li\u003e\n\u003cli\u003eVisualize data using standard and exotic plots in color\u003c\/li\u003e\n\u003cli\u003eDiscover 32 advanced open source augmentation libraries\u003c\/li\u003e\n\u003cli\u003eExplore machine learning models, such as BERT and Transformer\u003c\/li\u003e\n\u003cli\u003eMeet Pluto, an imaginary digital coding companion\u003c\/li\u003e\n\u003cli\u003eExtend your learning with fun facts and fun challenges\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis book is for data scientists and students interested in the AI discipline. Advanced AI or deep learning skills are not required; however, knowledge of Python programming and familiarity with Jupyter Notebooks are essential to understanding the topics covered in this book.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 394\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.81 x 9.25 x 7.5 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 28, 2023\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42721326235711,"sku":"9781803246451","price":77.74,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/f595318cdac9f087a4a28252d27a3163.webp?v=1765091971","url":"https:\/\/dhlswag.com\/products\/data-augmentation-with-python-enhance-deep-learning-accuracy-with-data-augmentation-methods-for-image-text-audio-and-tabular-data-paperback","provider":"BBB","version":"1.0","type":"link"}