MANU JOSEPH

«Ayyan Mani llevaba el espeso pelo negro peinado hacia un lado, dividido por una raya irregular hecha sin cuidado, como la línea divisoria que los británicos solían trazar entre dos barrios enemigos.

Ayyan Mani is a man born to greater things, which wouldn't surprise his neighbours in the vast tenement building in which he lives, where to be sober and employed practically makes a man a legend. He works as an assistant at the Institute of Theory and Research, where he studies with amusement and envy the public battles and private love affairs of the squabbling scientists. But when an opportunity for betterment presents itself in the form of his 'gifted' ten-year-old son Adi, father and son embark on an outrageous ruse that will have far-reaching consequences ...Manu Joseph's archly comic debut is a tale of a man's attempt to elevate himself and his family above the banality of ordinary existence.

Build real-world time series forecasting systems which scale to millions of time series by applying modern machine learning and deep learning conceptsKey FeaturesExplore industry-tested machine learning techniques used to forecast millions of time seriesGet started with the revolutionary paradigm of global forecasting modelsGet to grips with new concepts by applying them to real-world datasets of energy forecastingBook DescriptionWe live in a serendipitous era where the explosion in the quantum of data collected and a renewed interest in data-driven techniques such as machine learning (ML), has changed the landscape of analytics, and with it, time series forecasting. This book, filled with industry-tested tips and tricks, takes you beyond commonly used classical statistical methods such as ARIMA and introduces to you the latest techniques from the world of ML.This is a comprehensive guide to analyzing, visualizing, and creating state-of-the-art forecasting systems, complete with common topics such as ML and deep learning (DL) as well as rarely touched-upon topics such as global forecasting models, cross-validation strategies, and forecast metrics. You'll begin by exploring the basics of data handling, data visualization, and classical statistical methods before moving on to ML and DL models for time series forecasting. This book takes you on a hands-on journey in which you'll develop state-of-the-art ML (linear regression to gradient-boosted trees) and DL (feed-forward neural networks, LSTMs, and transformers) models on a real-world dataset along with exploring practical topics such as interpretability.

" Vous néchapperez pas au bonheur ", affirme, en gros, Unni, adolescent des années 1980 fasciné par les délires collectifs, avant de sauter du toit de son immeuble dune cité de Madras. Pourquoi ce suicide ? Telle est la quete lenquete de son pere, ecrivain rate, ivrogne et neanmoins journaliste dinvestigation. A travers des monceaux de vignettes, de planches, de bandes dessinees realisees par son fils, par le biais de temoignages de ses anciens camarades de classe pris entre pensees profondes et coups de ceinture paternels, Ousep tente dadoucir ses doutes et ceux de son epouse, Mariamma, elle-meme detentrice dun secret ancien. Dans son deuxieme roman, en partie autobiographique, impregne par lunivers volontiers sybillin des concepteurs de BD, Manu Joseph livre le portrait dun groupe dadolescents tourmentes par les grandes questions philosophiques (la vie est-elle un accident ?). Le tout exacerbe par le contexte indien, le gout de la procrastination, la passion distanciee des quetes spirituelles et les defis jusquau-boutistes de la jeunesse. Nourrie de plans panoramiques comme de gros plans, de sequences comme dellipses et jouissant de multiples angles de vue, sans oublier les flash-backs, lenquete dOusep avance et pietine a la fois, entrainant le lecteur dans un perpetuel travelling lateral dont les figurants soit levent le voile sur la psyche de ladolescent indien daujourdhui soit en demontrent toute limpermeabilite.

Le portrait cru et satirique de la classe politique indienne actuelle, électrisée par la peur du terrorisme.Un immeuble sest effondré à Mumbai. Coincé sous les décombres, un homme en piètre état révè

Aujourd"hui en Inde, on ne dit plus " intouchable " mais dalit. Un mot, toutefois, suffit-il à changer la donne ? Ce nest pas lavis dAyyan. Dun côté, du sien, une pièce minuscule partagée avec sa jeu