“…A former electronics instructor and technical writer with the National Education Corporation, Charles taught and wrote on post-secondary EET curriculum, including introductory electronics, transistor theory, linear integrated circuits, basic digital theory, industrial electronics, microprocessors, and computer peripherals. …”

“…What you will learn Solve linear and nonlinear models representing various financial problems Perform principal component analysis on the DOW index and its components Analyze, predict, and forecast stationary and non-stationary time series processes Create an event-driven backtesting tool and measure your strategies Build a high-frequency algorithmic trading platform with Python Replicate the CBOT VIX index with SPX options for studying VIX-based strategies Perform regression-based and classification-based machine learning tasks for prediction Use TensorFlow and Keras in deep learning neural network architecture Who this book is for If you are a financial or data analyst or a software developer in the financial ..…”

“…What You Will Learn Review fundamental concepts such as bias and variance Extract features from categorical variables, text, and images Predict the values of continuous variables using linear regression and K Nearest Neighbors Classify documents and images using logistic regression and support vector machines Create ensembles of estimators using bagging and boosting techniques Discover hidden structures in data using K-Means clustering Evaluate the performance of machine learning systems in common tasks In Detail Machine learning is the buzzword bringing computer science and statistics together to build smart and efficient models. …”

“…Architect and design data-intensive applications and, in the process, learn how to collect, process, store, govern, and expose data for a variety of use cases Key Features Integrate the data-intensive approach into your application architecture Create a robust application layout with effective messaging and data querying architecture Enable smooth data flow and make the data of your application intensive and fast Book Description Are you an architect or a developer who looks at your own applications gingerly while browsing through Facebook and applauding it silently for its data-intensive, yet ?…”

“…Gain practical insights by exploiting data in your business to build advanced predictive modeling applications About This Book A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices Learn how to use popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and Clustering Master open source Python tools to build sophisticated predictive models Who This Book Is For This book is designed for business analysts, BI analysts, data scientists, or junior level data analysts who are ready to move on from a conceptual understanding of advanced analytics and become an expert in designing and building advanced analytics solutions using Python. …”

“…What you will learn Import, clean, and explore data to perform preliminary analysis using powerful Python packages Identify and transform erroneous data using different data wrangling techniques Explore the use of multiple regression to describe non-linear relationships Discover hypothesis testing and explore techniques of time-series analysis Understand and interpret results obtained from graphical analysis Build, train, and optimize predictive models to estimate results Perform complex EDA techniques on open source datasets Who this book is for This EDA book is for anyone interested in data analysis, especially students, statisticians, data analysts, and data scientists. …”

“…Metaprogramming, iterators, and generators (a powerful mechanism to bridge between linear and event-driven control flow) How to use proxies to inter..…”

“…Additionally, basic knowledge in linear algebra and calculus is desired. What You Will Learn Implement different neural network models in Python Select the best Python framework for deep learning such as PyTorch, Tensorflow, MXNet and Keras Apply tips and tricks related to neural networks internals, to boost learning performances Consolidate machine learning principles and apply them in the deep learning field Reuse and adapt Python code snippets to everyday problems Evaluate the cost/benefits and performance implication of each discussed solution In Detail Deep Learning is revolutionizing a wide range of industries. …”

“…DSP fundamentals: ideal, natural, and instantaneous sampling; delta functions; physical signal reconstruction; and more Fourier Analysis: Fourier series and transforms; discrete-time and discrete Fourier transforms; signal truncation; DFT leakage and resolution Fast Fourier transforms: decimation in time and frequency; prime factor algorithms; and fast convolution Window techniques: sinusoidal analysis; window characteristics and choices; Kaiser windows; and more Classical spectrum analysis: unmodified and modified periodograms; Bartlett’s and Welch’s periodograms; and periodogram performance FIR filters: design options; linear-phase FIR filters; periodicities; basic and Kaiser window methods; and the Parks-McClellan algorithm Analog prototype filters: Laplace transforms; characterization; and Butterworth, Chebyshev, elliptic, and Bessel filters z-Transform analysis: computation and transforms using partial fraction expansion IIR filters: design options; impulse invariance methods; and bilinear transformation Multirate signal processing: decimation and interpolation fundamentals; multistage and polyphase decimat..…”

“…This new narrative breaks away from traditional views of human evolution as exceptional or as a linear progression towards a more perfect form. Instead, our evolutionary history is situated within similar processes occurring in other mammals, and explained as one in which emotions, rather than 'intellect', were key to our evolutionary journey. …”

“…Neanderthals are revealed as equally caring yet emotionally different humans, who might, if things had been different, have been in our place today.This new narrative breaks away from traditional views of human evolution as exceptional or as a linear progression towards a more perfect form. Instead, our evolutionary history is situated within similar processes occurring in other mammals, and explained as one in which emotions, rather than 'intellect', were key to our evolutionary journey. …”

“…., as moving object assigned extension, divisible continuity (‛linearity’) and direction, can be shown to have emerged as a result of secondary metaphorization…”

“…Mientras que algunos querrán negar la importancia del psicoanálisis infantil, el libro de Claudine y Pierre Geissmann constituye un testimonio capital sobre la historia de este acercamiento que recuerda el carácter irremplazable para la comprensión y la terapéutica de los trastornos psicopatológicos del niño y del adolescente…”

“…La contribución de Ruiz Aguilera a una estirpe de intelectuales como Francisco Giner de los Ríos, Ramón de Campoamor o Benito Pérez Galdós queda patente en este trabajo, así como su vasta cultura que le condujo a la dirección del Museo Arqueológico Nacional durante cuatro años (1868-1872). …”
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“…Fins i tot amb l’evident i clara vocació de pastoral cristiana (seria absurd negar aquest aspecte, doncs forma part nuclear del projecte i és impossible deslligar-lo del projecte de biblioteques) que impregna tot aquesta iniciativa bibliotecària, tots aquests aspectes abans mencionats representen un esquema molt primitiu d’una xarxa de biblioteques de gran valor, amb una clara vocació global que s’emmarca en un projecte molt més ampli de promoure la lectura i l’alfabetització de les classes populars que dirigeix la Librería Religiosa, i que sense dubte són una gran novetat en ple segle XIX. …”
Accés lliure (RCLIS)

“….-, sino la generación actual, a quien no se puede negar el derecho a expresar su opinión. Su gesto a veces desenfadado, muchas otras muy personal, sería más del agrado de don Pío que el catálogo o la enumeración erudita…”

“…Y es así que este país le atribuye, entre otros ataques, el ocurrido a las Torres Gemelas de Nueva York del 11 de septiembre de 2001. Pero, a pesar de negar esta acusación tuvo que sumirse en la clandestinidad, y desde entonces las fuerzas estadounidenses se dedicaron a buscarlo a lo largo de la frontera afgano-pakistaní. …”

“…Y, siempre que se ha intentado negar esta inevitable heterogeneidad, ha sido preciso un esfuerzo sobrehumano para forjar una identidad nacional «pura», que ha resultado imposible mantener. …”

“…"Resulta difícil negar el papel que los sindicatos y el conjunto de los movimientos sociales tuvieron en la construcción de la democracia en España. …”

“…El vapor inyectado pesado, reduciendo su viscosidad. en el pozo superior calienta el petróleo Para el tratamiento de mejoramiento del crudo pesado en superficie, se estudia el procesamiento estable y del crudo a significativamente través de la tecnología alterado, una con Planta una termoquímica, puede virtualmente eliminar el sub-producción de puede ser utilizada para generar vapor o electricidad. la cual productores de crudo. costo del uso de gas energía esta diseñada para procesar el crudo pesado del campo y producir un crudo sintético que Los análisis muestran que natural y de diluyente y utilizar la mayor cantidad de crudo pesado a bajos precios para los Complementariamente mediante un estudio técnico-económico los resultados del análisis son explotación y presentados. producción En del los cuales campo se puede Pungarayacu ver es que el favorable, proyecto debido a de la merma del suministro de petróleo, los altos precios de la energía y la necesidad de restituir las reservas, están incentivando a las compañías petroleras a invertir en yacimientos de petróleo pesado. …”
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