{"product_id":"machine-learning-techniques-for-text-apply-modern-techniques-with-python-for-text-processing-dimensionality-reduction-classification-and-evaluatio-paperback","title":"Machine Learning Techniques for Text: Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluatio - Paperback","description":"\u003cp\u003eby \u003cb\u003eNikos Tsourakis\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTake your Python text processing skills to another level by learning about the latest natural language processing and machine learning techniques with this full color guide\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\u003eLearn how to acquire and process textual data and visualize the key findings\u003c\/li\u003e\n\u003cli\u003eObtain deeper insight into the most commonly used algorithms and techniques and understand their tradeoffs\u003c\/li\u003e\n\u003cli\u003eImplement models for solving real-world problems and evaluate their performance\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\u003eWith the ever-increasing demand for machine learning and programming professionals, it's prime time to invest in the field. This book will help you in this endeavor, focusing specifically on text data and human language by steering a middle path among the various textbooks that present complicated theoretical concepts or focus disproportionately on Python code.\u003c\/p\u003e\u003cp\u003eA good metaphor this work builds upon is the relationship between an experienced craftsperson and their trainee. Based on the current problem, the former picks a tool from the toolbox, explains its utility, and puts it into action. This approach will help you to identify at least one practical use for each method or technique presented. The content unfolds in ten chapters, each discussing one specific case study. For this reason, the book is solution-oriented. It's accompanied by Python code in the form of Jupyter notebooks to help you obtain hands-on experience. A recurring pattern in the chapters of this book is helping you get some intuition on the data and then implement and contrast various solutions.\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll be able to understand and apply various techniques with Python for text preprocessing, text representation, dimensionality reduction, machine learning, language modeling, visualization, and evaluation.\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\u003eUnderstand fundamental concepts of machine learning for text\u003c\/li\u003e\n\u003cli\u003eDiscover how text data can be represented and build language models\u003c\/li\u003e\n\u003cli\u003ePerform exploratory data analysis on text corpora\u003c\/li\u003e\n\u003cli\u003eUse text preprocessing techniques and understand their trade-offs\u003c\/li\u003e\n\u003cli\u003eApply dimensionality reduction for visualization and classification\u003c\/li\u003e\n\u003cli\u003eIncorporate and fine-tune algorithms and models for machine learning\u003c\/li\u003e\n\u003cli\u003eEvaluate the performance of the implemented systems\u003c\/li\u003e\n\u003cli\u003eKnow the tools for retrieving text data and visualizing the machine learning workflow\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 professionals in the area of computer science, programming, data science, informatics, business analytics, statistics, language technology, and more who aim for a gentle career shift in machine learning for text. Students in relevant disciplines that seek a textbook in the field will benefit from the practical aspects of the content and how the theory is presented. Finally, professors teaching a similar course will be able to pick pertinent topics in terms of content and difficulty. Beginner-level knowledge of Python programming is needed to get started with this book.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 448\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.91 x 9.25 x 7.5 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 31, 2022\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42720026296383,"sku":"9781803242385","price":81.19,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/785090e060e898376bf564e25b1091f8.webp?v=1765087732","url":"https:\/\/dhlswag.com\/products\/machine-learning-techniques-for-text-apply-modern-techniques-with-python-for-text-processing-dimensionality-reduction-classification-and-evaluatio-paperback","provider":"BBB","version":"1.0","type":"link"}