Latysheva (46 results)

Hardcover. Condition: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Condition: Bueno. : Manual de Lengua Rusa (Manuales Major/ Humanidades / Ruso) (Spanish Edition). Este libro es una guía completa para el aprendizaje del idioma ruso, ideal para estudiantes y personas interesadas en adquirir conocimientos sólidos en la lengua. Cubre aspectos gramaticales, vocabulario y ejercicios prácticos para facilitar el aprendizaje. EAN: 9788433829146 Tipo: Libros Categoría: Idiomas Título: Manual de Lengua Rusa Autor: Latysheva A. Y Otros Idioma: es-ES Páginas: 422 Formato: tapa blanda.

Condition: Bueno. : Descubre cómo controlar y aliviar las migrañas con este libro de Nina Latysheva y Elena Filatova. Aprende sobre los desencadenantes de la migraña, métodos para aliviar el dolor sin medicamentos y los últimos avances en tratamientos para la migraña del siglo XXI. Una guía completa para entender y manejar tus migrañas. EAN: 9785699660360 Tipo: Libros Categoría: Salud y Bienestar Título: Kak ukrotit migren Autor: Nina Latysheva| Elena Filatova Editorial: Eksmo Idioma: ru Páginas: 224 Formato: tapa blanda.

Condition: new. Pages: 96 Language: Russian. Kompleksnyj trenazhjor, kotoryj sostavlen v sootvetstvii s obrazovatelnymi standartami dlja nachalnoj shkoly, podkhodit k ljubomu iz aktualnykh uchebnikov.Zadanija, raspredeljonnye po temam v porjadke ikh izuchenija, pozvoljajut razvit i zakrepit znanija i navyki, poluchennye na urokakh, a takzhe dajut vozmozhnost dopolnitelnykh zanjatij po kazhdoj teme i glubokogo ponimanija smysla uchebnogo materiala.Uprazhnenija logichno vpisyvajutsja kak v shkolnuju programmu, tak i v metodiki domashnikh zanjatij.Trenazhjor soderzhit uprazhnenija na razvitie melkoj motoriki ruk, na zakreplenie navykov pisma i chtenija, razvivaet logicheskoe myshlenie.Posobie idealno dlja podgotovki k itogovym, proverochnym i testovym zadanijam i chrezvychajno udobno dlja domashnego obuchenija.Dlja mladshego shkolnogo vozrasta. 9789857258116.

paperback. Condition: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.

Saddle stitch. Condition: Fine. Leichte Rillen / Abschürfungen / Risse / Knicke; Gebrochener Buchrücken.

Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Paperback. Condition: New. Bridge the gap between modern machine learning and real-world biology with this practical, project-driven guide. Whether your background is in biology, software engineering, or data science, Deep Learning for Biology gives you the tools to develop deep learning models for tackling a wide range of biological problems.Authors Charles Ravarani and Natasha Latysheva guide you through hands-on projects applying deep learning to domains like DNA, proteins, biological networks, medical images, and microscopy. Each chapter is a self-contained mini-project, with step-by-step explanations that teach you how to train and interpret deep learning models using real biological data.Build models for real-world biological problems such as gene regulation, protein function prediction, drug interactions, and cancer detectionApply architectures like convolutional neural networks, transformers, graph neural networks, and autoencodersUse Python and interactive notebooks for hands-on learningBuild problem-solving intuition that generalizes beyond biologyWhether youare exploring new methods, transitioning into computational biology, or looking to make sense of machine learning in your field, this book offers a clear and approachable path forward.

Condition: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Condition: new. Pages: 320 Language: Russian. U vas v rukakh UNIKALNAJa KNIGA, blagodarja kotoroj, udeljaja zanjatijam vsego 15 minut v den, vy smozhete podgotovitsja k uspeshnoj sdache ekzamena. Posobie okhvatyvaet vse razdely i temy, kotorye predstavleny v bazovom EGE po matematike, i predlagaet unikalnuju metodiku podgotovki, kotoraja pomozhet uchaschimsja uluchshit ponimanie i navyki reshenija zadach. 9785171574215.

First Edition. Very good paperback copy; edges somewhat slightly dust-dulled and nicked. Remains particularly well-preserved overall; tight, bright, clean and strong.; 8vo 8" - 9" tall; 231 pages; Physical desc.: 231 p. ill., 21 cm. Subject: History -- Archaeology -- Moscow. 3 Kg.

Paperback. Condition: New. Bridge the gap between modern machine learning and real-world biology with this practical, project-driven guide. Whether your background is in biology, software engineering, or data science, Deep Learning for Biology gives you the tools to develop deep learning models for tackling a wide range of biological problems.Authors Charles Ravarani and Natasha Latysheva guide you through hands-on projects applying deep learning to domains like DNA, proteins, biological networks, medical images, and microscopy. Each chapter is a self-contained mini-project, with step-by-step explanations that teach you how to train and interpret deep learning models using real biological data.Build models for real-world biological problems such as gene regulation, protein function prediction, drug interactions, and cancer detectionApply architectures like convolutional neural networks, transformers, graph neural networks, and autoencodersUse Python and interactive notebooks for hands-on learningBuild problem-solving intuition that generalizes beyond biologyWhether youare exploring new methods, transitioning into computational biology, or looking to make sense of machine learning in your field, this book offers a clear and approachable path forward.

Condition: New.

Softcover/Paperback. Condition: Good. Eta kniga o Moskve i Podmoskove, o drevnej zemle, kotoraya stala osnovoj Moskovskogo knyazhestva i potom Russkogo gosudarstva. Kniga pomozhet chitatelyu uznat o tom, kak slozhilos naselenie kraya, kak rosli ego sela i goroda, kak rabotali v starinu remeslenniki, kak stroili doma, kak razvlekalis, vo chto odevalis, kak zhili bogatye i bednye moskvichi. V knige ispolzovany bogatye materialy arkheologicheskikh raskopok, starye letopisi i akty, opisaniya narodnoj zhizni.

Condition: New. In English.

paperback. Condition: New.

Condition: As New. Unread book in perfect condition.

First Edition. Very good paperback copy; edges somewhat slightly dust-dulled and nicked. Remains particularly well-preserved overall; tight, bright, clean and strong.; 8vo 8" - 9" tall; 231 pages; Physical desc.: 231 p. ill., 21 cm. Subject: History -- Archaeology -- Moscow. 1 Kg.

Condition: New.

Paperback. Condition: Used; Good. **SHIPPED FROM UK** We believe you will be completely satisfied with our quick and reliable service. All orders are dispatched as swiftly as possible! Buy with confidence! Greener Books.

Hardcover/Hardback. Condition: Good. Eta kniga daet otvety na izvechnye voprosy. Odinoki li my vo Vselennoj? Est li Bog i vozmozhno li bogoznanie? Pochemu prorochestva sbyvayutsya? Filosofskij kamen: neizvestnaya nauke realnost? Kto vydumal superbombu? Tajnye obshchestva. Chto oni skryvayut? Shambala - supertsivilizatsiya pod zemlej? Zachem my muchaemsya? Zachem stradaem? Cherez ternii - k zvezdam? Esli by znat.Otvety na eti i drugie interesnye voprosy vy uznaete, prochitav etu knigu.

Paperback. Condition: Brand New. 300 pages. 9.19x7.00x9.19 inches. In Stock.

Condition: Good. 8vo. 193 pp. White Cloth. Very Good. Plates, some color. Text in Russian.

Condition: New. 1st edition NO-PA16APR2015-KAP.

Condition: new. Pages: 184 Language: Russian, English. Russian Grammar in Use An essential guide for English-speaking students This is the first part of a brand new grammar course. It is ideal for: - English speakers with some knowledge of the Russian alphabet - learners who are revising their grammar skills from their first 100-150 hours of study (level A1 of CEFR). It is suitable for study with a teacher or independently, and it can be used as a main textbook or with supplementary materials. All the explanations and instructions are given in both English and Russian. The language material is presented in an accessible way, with plenty of communicative tasks. A lot of exercises are based on humorous texts which will make students smile. The Revision sections test knowledge immediately, while the Use of Russian chapters test grammar points from previous units. The course makes the learning process easy and entertaining by providing useful tips and comments along the way, including: ''More information'' - Each rule is divided into parts, so students can focus on just one idea at a time. Any important addition to a rule comes with this sign. ''Note'' - Secondary details are marked with this comment. ''What nuances may arise?'' - Designed for students who always ask extra questions and would like to know more, these cover more advanced knowledge (which is helpful to everyone but is not significant in mastering A1-level skills) ''It''s surprising!'' - These comments accompany grammar points which may seem strange, astonishing and illogical - even to native Russian speakers! ''To the teacher'' - Intended for teachers only, these comments provide tips and lesson ideas based on the authors'' own teaching experience. These are provided in Russian only. ''Do you remember?'' - In this section students are asked to recall a relevant rule and are reminded of it. Answer keys and a vocabulary are provided at the end of the book. 9785865479819.

Paperback. Condition: New. Bridge the gap between modern machine learning and real-world biology with this practical, project-driven guide. Whether your background is in biology, software engineering, or data science, Deep Learning for Biology gives you the tools to develop deep learning models for tackling a wide range of biological problems.Authors Charles Ravarani and Natasha Latysheva guide you through hands-on projects applying deep learning to domains like DNA, proteins, biological networks, medical images, and microscopy. Each chapter is a self-contained mini-project, with step-by-step explanations that teach you how to train and interpret deep learning models using real biological data.Build models for real-world biological problems such as gene regulation, protein function prediction, drug interactions, and cancer detectionApply architectures like convolutional neural networks, transformers, graph neural networks, and autoencodersUse Python and interactive notebooks for hands-on learningBuild problem-solving intuition that generalizes beyond biologyWhether youare exploring new methods, transitioning into computational biology, or looking to make sense of machine learning in your field, this book offers a clear and approachable path forward.

Condition: New.