Provides a complete and concise overview of deep learning using the language of mathematics. Provides a self-contained background on machine learning and optimization algorithms, and progresses through the key ideas of deep learning.

Acerca del autor

Dr. Benoit Liquet is a Professor of Mathematical and Computational Statistics at Macquarie University currently on detachment from his professor position at Universit� de Pau et Pays de l’Adour (France). He also holds an adjunct position at The University of Queensland. His research spans the broad spectrum of applied statistics, with a focus on statistical modeling for complex data. He has made significant contributions to methodological developments, exploiting modern statistical and computational cutting-edge methods to tackle a variety of real-world problems from small, designed studies to large-scale high-dimensional data challenges in bioinformatics and biometrics. His research extends to the development of R packages and industrial applications, particularly in the realm of machine learning. Over the years, he has authored numerous articles, book chapters, and books, including the co-authored book “The R Software, Fundamentals of Programming and Statistical Analysis”. He has also co-authored books on dynamical biostatistical models and developed over a dozen R packages, making his methodologies accessible to a wide range of users. He is deeply committed to education and has taught advanced courses in statistics and machine learning at multiple institutions around the globe. Such educational activities reflect his dedication to bridging the gap between theoretical advancements and practical applications.

Dr. Sarat Moka is an academic researcher and educator at the School of Mathematics and Statistics at The University of New South Wales (UNSW). His research interests encompass applied probability, computational statistics, machine learning, and deep learning. Dr. Moka has made contributions to optimization methods for efficient model selection in high-dimensional settings. Additionally, he has developed fast unbiased sampling and estimation techniques for spatial point processes and random graphs. Moreover, his research focus extends to efficient pruning methods for deep neural networks. In addition to research, he has been actively teaching advanced statistical and deep learning courses. Prior to joining UNSW in 2023, he was a senior research fellow at the School of Mathematical and Physical Science at Macquarie University and held an ACEMS (ARC Centre of Excellence for Mathematical & Statistical Frontiers) postdoctoral researcher position in the School of Mathematics and Physics at The University of Queensland. He earned a PhD in Applied Probability from the School of Technology and Computer Science at Tata Institute of Fundamental Research, and a Master's and a Bachelor's in Engineering with a focus on electrical, electronics, and communications, at the Indian Institute of Science and Andhra University, respectively. Before pursuing his doctoral studies, he was a scientist at the Indian Space Research Organization (SHAR, Sriharikota), where he worked on Communication Networks that support rocket launch activities.

Dr. Yoni Nazarathy is an Associate Professor at the School of Mathematics and Physics at The University of Queensland (UQ). He is also a consultant and co-director of a machine learning consultancy, Accumulation Point. His research spans applied probability, statistics, and machine learning and his industry work includes biostatistical software development, data science training for industry, and large language models. In addition to his many refereed publications in the mathematical sciences, he is a co-author of the book “Statistics with Julia”. Prior to his PhD in the field of queueing theory at the University of Haifa, Israel, he worked as a software engineer, algorithm developer, and team leader in the Israeli tech industry. He then followed with post doc positions in The Netherlands, and academic positions in Melbourne, Australia, before settling at UQ where he has been for over a decade. He is also an avid educator and has taught and created academic and professional courses across the spectrum. He has also contributed to mathematical education via software apps and engagement with pre-university level educators.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

Ver la p�gina web de la librer�a

Informaci�n empresarial del vendedor

Edward Bowditch Ltd
Exstowe, Exton, Exeter, EX3 0PP, United Kingdom

Condiciones de venta y env�o

Condiciones de venta

Legal entity name: Edward Bowditch Ltd
Legal entity form: Limited company
Business correspondence address: Exstowe, Exton, Exeter, EX3 0PP
Company registration number: 04916632
VAT registration: GB834241546
Authorised representative: Mr. E. Bowditch

Derecho a cancelaci�n

Si eres un consumidor puedes cancelar el presente contrato de acuerdo con lo indicado a continuaci�n. Son consumidores las personas f�sicas que act�en con un prop�sito ajeno a su actividad comercial, empresarial, oficio o profesi�n.

Documento de informaci�n al consumidor y usuario sobre el desistimiento

Derecho de desistimiento:

Tienes derecho a desistir del presente contrato en un plazo de 14 d�as naturales sin necesidad de justificaci�n.

El plazo de desistimiento expirar� a los 14 d�as naturales del d�a en que t� o un tercero que hayas indicado, distinto del transportista, adquiera la posesi�n material del �ltimo bien, componente o pieza.

Para ejercer el derecho de desistimiento, deber�s notificarnos a Revaluation Books, Exstowe, Exton, EX3 0PP, Exeter, United Kingdom, 44 1179083586, de tu decisi�n de desistir del contrato a trav�s de una declaraci�n inequ�voca (por ejemplo, una carta enviada por correo postal, fax o correo electr�nico). Podr�s utilizar el modelo de formulario de desistimiento que figura a continuaci�n, aunque su uso no es obligatorio. Tienes asimismo la opci�n de cumplimentar y enviar electr�nicamente el modelo de formulario de desistimiento o cualquier otra declaraci�n inequ�voca a trav�s de nuestro sitio web a "Mis pedidos" en "Mi cuenta". Si recurres a esta opci�n, te comunicaremos sin demora en un soporte duradero (por ejemplo, por correo electr�nico) la recepci�n de dicho desistimiento.

Para cumplir el plazo de desistimiento, basta con que la comunicaci�n relativa al ejercicio por tu parte de este derecho sea enviada antes de que venza el plazo correspondiente.

Consecuencias del desistimiento:

En caso de desistimiento por tu parte, te devolveremos todos los pagos recibidos de ti, incluidos los gastos de entrega (con la excepci�n de los gastos adicionales resultantes de la elecci�n por tu parte de una modalidad de entrega diferente a la modalidad menos costosa de entrega ordinaria que ofrezcamos) sin ninguna demora indebida y, en todo caso, a m�s tardar 14 d�as naturales a partir de la fecha en la que se nos informes de tu decisi�n de desistir del presente contrato. Procederemos a efectuar dicho reembolso utilizando el mismo medio de pago empleado por ti para la transacci�n inicial, a no ser que hayas dispuesto expresamente lo contrario; en todo caso, no incurrir�s en ning�n gasto como consecuencia del reembolso.

Podremos retenerte el reembolso hasta haber recibido los bienes, o hasta que hayas presentado una prueba de la devoluci�n de los mismos, seg�n qu� condici�n se cumpla primero. Deber�s devolvernos o entregarnos directamente los bienes a Revaluation Books, Edward Bowditch Ltd, Clifton Heights, Triangle West, BS8 1EJ, Bristol, United Kingdom, 44 1179083586, sin ninguna demora indebida y, en cualquier caso, a m�s tardar en el plazo de 14 d�as naturales a partir de la fecha en que nos comuniques tu decisi�n de desistimiento del contrato. Se considerar� cumplido el plazo si efect�as la devoluci�n de los bienes antes de que haya concluido dicho plazo. Deber�s asumir el coste directo de devoluci�n de los bienes. Solo ser�s responsable de la disminuci�n de valor de los bienes resultante de una manipulaci�n distinta a la necesaria para establecer la naturaleza, las caracter�sticas y el funcionamiento de los bienes.

Excepciones al derecho de desistimiento:

La entrega de peri�dicos, publicaciones especializadas o revistas con la excepci�n de contratos de suscripci�n; y
La entrega de contenido digital (incluyendo apps, software digital e-books, MP3, etc.) que no hubiera sido entregado en un medio tangible (por ejemplo: CD o DVD), si al realizar tu pedido has aceptado que podemos proceder al env�o del producto y que no resulta posible su cancelaci�n una vez comienza la entrega.

Modelo de formulario de desistimiento

(S�lo debe cumplimentar y enviar el presente formulario si desea desistir del contrato)

A la atenci�n de: (Revaluation Books, Exstowe, Exton, EX3 0PP, Exeter, United Kingdom, 44 1179083586)

Por la presente le comunico/comunicamos* que desisto de mi/desistimos de nuestro* contrato de venta del siguiente bien/prestaci�n del siguiente servicio*

Pedido el/recibido el*:

Nombre del consumidor y usuario o de los consumidores y usuarios:

Domicilio del consumidor y usuario o de los consumidores y usuarios:

Firma del consumidor y usuario o de los consumidores y usuarios (solo si el presente formulario se presenta en papel):

Fecha:

* Eliminar en su caso

Condiciones de env�o

Orders usually dispatched within two working days.

Tarifas de env�o de Reino Unido a Estados Unidos de America

Tarifas de env�o de Reino Unido a Estados Unidos de America
Cantidad del pedido	De 7 a 14 d�as h�biles	De 2 a 3 d�as h�biles
Primer art�culo	EUR 14.49	EUR 28.97

Los plazos de entrega los establecen los vendedores y var�an seg�n el transportista y la ubicaci�n. Los pedidos que pasan por la aduana pueden sufrir retrasos y los compradores son responsables de los aranceles o tarifas asociadas. Los vendedores pueden ponerse en contacto con usted en relaci�n con cargos adicionales para cubrir cualquier aumento en los costes de env�o de los art�culos.