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[null,"1.","Record Nr.",null,"UNINA9910464200503321"]
[null,null,"Titolo",null,"A practical guide to office gynecologic procedures / / editors, Paul D. Blumenthal, Jonathan S. Berek ; contributing editor, Mary T. Jacobson"]
[null,null,"Pubbl/distr/stampa",null,"Philadelphia, PA : , : Lippincott Williams & Wilkins, , [2013]"]
[{"$nulls":4},"©2013"]
[null,null,"ISBN",null,"1-4511-5389-9"]
[{"$nulls":4},"1-4698-7790-2"]
[null,null,"Descrizione fisica",null,"1 online resource (208 p.)"]
[null,null,"Disciplina",null,"618.1/075"]
[null,null,"Soggetti",null,"Gynecology"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Pain relief for office gynecologic surgery -- External genitalia -- Acetic acid and iodine (Schiller's test) testing for vulvar intra-epithelial neoplasia -- Bartholin's gland cyst/abscess -- Condylomata and molluscum contagiosum -- External genitalia : toluidine blue testing -- Vaginal swab and wet prep -- Colposcopy : vagina and cervix -- Imperforate hymen, hymenotomy, and division of the hymenal band -- Pudendal block -- Clitoral hair tourniquet syndrome -- Exam of the prepubertal female -- Cervix -- Endometrial sampling -- Abortion -- Intrauterine insemination -- Trigger point injections : abdomen, buttocks, and skin -- Hysteroscopic sterilization (essure) -- Subdermal contraceptive implants -- Intrauterine contraception -- Office urodynamics -- Palpable breast mass."]
[null,null,null,"Sommario/riassunto","\"This book describes and discusses the most commonly used office gynecologic procedures. The goal is to facilitate optimal management of our patients and their gynecologic problems. Written by the faculty, fellows and residents of the Stanford Department of Obstetrics and Gynecology who took great care to include the details for the performance of excellent office-based diagnosis and treatment, this book is an important tool for practitioners of our specialty. I extend my gratitude to Dr. Paul Blumenthal and my colleagues for this valuable effort and their commitment to outstanding patient care\"--Provided by publisher."]
[null,"2.","Record Nr.",null,"UNISALENTO991003736219707536"]
[null,null,"Autore",null,"Vianello, Renzo <1947- >"]
[null,null,"Titolo",null,"Fra normalità e disabilità intellettiva lieve : come intervenire : strategie didattiche e schede attività di semplificazione per affrontare le difficoltà del Funzionamento Intellettivo Limite, FIL / Renzo Vianello"]
[null,null,"Pubbl/distr/stampa",null,"Firenze : Giunti, c2019"]
[null,null,"ISBN",null,"9788809870703"]
[null,null,"Descrizione fisica",null,"212 p. : ill. ; 27 cm"]
[null,null,"Collana",null,"Guide psicoeducative"]
[null,null,"Disciplina",null,"371.926"]
[null,null,"Soggetti",null,"Bambini disabili - Educazione"]
[null,null,"Lingua di pubblicazione",null,"Non definito"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Sulla copertina: Guida operativa"]
[null,"3.","Record Nr.",null,"UNINA9910157379403321"]
[null,null,"Autore",null,"Paluszek Michael"]
[null,null,"Titolo",null,"MATLAB Machine Learning / / by Michael Paluszek, Stephanie Thomas"]
[null,null,"Pubbl/distr/stampa",null,"Berkeley, CA : , : Apress : , : Imprint : Apress, , 2017"]
[null,null,"ISBN",null,"9781484222508"]
[{"$nulls":4},"1484222504"]
[null,null,"Edizione",null,"[1st ed. 2017.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XIX, 326 p. 140 illus., 74 illus. in color.)"]
[null,null,"Disciplina",null,"006"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Programming languages (Electronic computers)"]
[{"$nulls":4},"Computer programming"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Programming Languages, Compilers, Interpreters"]
[{"$nulls":4},"Programming Techniques"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters and index."]
[null,null,"Nota di contenuto",null,"1 Overview of Machine Learning -- 2 The History of Machine Learning -- 3 Software for machine learning -- 4 Representation of data for Machine Learning in MATLAB -- 5 MATLAB Graphics -- 6 Machine Learning Examples in MATLAB -- 7 Face Recognition with Deep Learning -- 8 Data Classification -- 9 Classification of Numbers Using Neural Networks -- 10 Kalman Filters -- 11 Adaptive Control -- 12 Autonomous Driving -- Bibliography."]
[null,null,null,"Sommario/riassunto","This book is a comprehensive guide to machine learning with worked examples in MATLAB. It starts with an overview of the history of Artificial Intelligence and automatic control and how the field of machine learning grew from these. It provides descriptions of all major areas in machine learning. The book reviews commercially available packages for machine learning and shows how they fit into the field. The book then shows how MATLAB can be used to solve machine learning problems and how MATLAB graphics can enhance the programmer’s understanding of the results and help users of their software grasp the results. Machine Learning can be very mathematical. The mathematics for each area is introduced in a clear and concise form so that even casual readers can understand the math. Readers from all areas of engineering will see connections to what they know "]
[{"$nulls":4},"and will learn new technology. The book then provides complete solutions in MATLAB for several important problems in machine learning including face identification, autonomous driving, and data classification. Full source code is provided for all of the examples and applications in the book. What you'll learn: An overview of the field of machine learning Commercial and open source packages in MATLAB How to use MATLAB for programming and building machine learning applications MATLAB graphics for machine learning Practical real world examples in MATLAB for major applications of machine learning in big data Who is this book for: The primary audiences are engineers and engineering students wanting a comprehensive and practical introduction to machine learning."]