作者: 輕浮女 時間: 2025-3-22 00:15 作者: 冥界三河 時間: 2025-3-22 03:14
https://doi.org/10.1007/978-1-4842-4961-1PySpark; Python; Machine Learning; Deep Learning; Big Data; Spark; Data Processing; AirFlow; Supervised Mach作者: cyanosis 時間: 2025-3-22 07:10
Pramod SinghCovers entire range of PySpark’s offerings from streaming to graph analytics.Build standardized work flows for pre-processing and builds machine learning and deep learning models on big data sets.Disc作者: Favorable 時間: 2025-3-22 09:34 作者: Prostaglandins 時間: 2025-3-22 15:45
ng data processing using PySpark?.Build Machine Learning & Deep Learning models using PySpark latest offerings.Use graph analytics using PySpark?.Create Sequence Embeddings from Text data?.Who This Book is For?978-1-4842-4960-4978-1-4842-4961-1作者: HEAVY 時間: 2025-3-22 20:27 作者: medium 時間: 2025-3-22 22:10 作者: CRP743 時間: 2025-3-23 04:51
Pramod Singhnts as well as to the increasing of summer precipitations. These events notoriously produce high runoff, while infiltration is quite limited. Here this issue is investigated looking at long timeseries of precipitations and piezometric data for two aquifers in south Apulia, southeast Italy.作者: employor 時間: 2025-3-23 07:54 作者: 牽連 時間: 2025-3-23 10:57
Pramod Singhange in facies (transition zone) southwards, indicated by planktonic organisms in black, low porose carbonate rocks. Due to Alpine tectonics and the formation of the typical wedge shaped north Alpine foreland basin, synsedimentary fractures and fault zones developed in the carbonates. Compared to th作者: Indicative 時間: 2025-3-23 14:17 作者: pus840 時間: 2025-3-23 19:06 作者: 瘙癢 時間: 2025-3-24 00:04
Pramod Singhnd front-end engineering design, rupture zonation is a useful approach. To produce meaningful fault rupture zonation maps requires an integration of data on tectonic geomorphology, paleoseismology, and both crustal and near-surface fault geometry. The results of detailed surface rupture mapping, LiD作者: 缺乏 時間: 2025-3-24 05:22
Pramod Singhnd front-end engineering design, rupture zonation is a useful approach. To produce meaningful fault rupture zonation maps requires an integration of data on tectonic geomorphology, paleoseismology, and both crustal and near-surface fault geometry. The results of detailed surface rupture mapping, LiD作者: Melanocytes 時間: 2025-3-24 09:26 作者: genesis 時間: 2025-3-24 10:41 作者: 最有利 時間: 2025-3-24 16:21
be selected carefully and adapted to ground conditions. The shape and the material-quality of the cutters have to be adjusted and possible alterations of the tool, caused by the excavation process, must also be taken into account. This is because of the stress applied on the steel during the drillin作者: 表狀態(tài) 時間: 2025-3-24 22:17
Pramod Singhe ongoing challenges. These problems are particularly striking in semi-arid regions, which are traditionally affected by water scarcity. The Mediterranean basin is characterized by semi-arid climate; moreover, some Mediterranean regions have high-permeability karst areas, with poor availability of s作者: GOAD 時間: 2025-3-25 02:40 作者: Criteria 時間: 2025-3-25 03:29
Pramod Singh of the Upper Jurassic is an important factor for the success of geothermal projects or any other reservoir production. Hitherto, successful geothermal projects have cumulated in the area around Munich (Germany), as porosity and permeability of the southward dipping strata decrease with depth toward作者: 實(shí)現(xiàn) 時間: 2025-3-25 08:28
Pramod Singhe ongoing challenges. These problems are particularly striking in semi-arid regions, which are traditionally affected by water scarcity. The Mediterranean basin is characterized by semi-arid climate; moreover, some Mediterranean regions have high-permeability karst areas, with poor availability of s作者: 不公開 時間: 2025-3-25 13:19
Pramod Singhtural and opencast mine slopes. Selected case monitoring locations were located in the flysch Carpathian Mountains and at the Belchatow Opencast Mine. Monitoring instrumentation includes on-line shape-accelerated arrays, in-place inclinometers, pore pressure transducers and rainfall gauges. These sy作者: 貴族 時間: 2025-3-25 15:54
Pramod Singhres to counteract fault rupture requires detailed knowledge of the location of the active fault traces, fault geometry, including the width of the fault zone at the surface, and the distribution of strain within the fault zone. The current understanding of fault geometry and displacement profiles is作者: harmony 時間: 2025-3-25 20:53 作者: Confound 時間: 2025-3-26 01:12 作者: happiness 時間: 2025-3-26 06:56
res to counteract fault rupture requires detailed knowledge of the location of the active fault traces, fault geometry, including the width of the fault zone at the surface, and the distribution of strain within the fault zone. The current understanding of fault geometry and displacement profiles is作者: semiskilled 時間: 2025-3-26 08:38
Introduction to Spark,his introductory chapter is divided into three sections. In the first, I go over the evolution of data and how it got as far as it has, in terms of size. I’ll touch on three key aspects of data. In the second section, I delve into the internals of Spark and go over the details of its different compo作者: 不斷的變動 時間: 2025-3-26 12:43
Data Processing,different methods can be used to massage the data into desired form. The idea of this chapter is to expose some of the common techniques for dealing with big data in Spark. In this chapter, we are going to go over different steps involved in preprocessing data, such as handling missing values, mergi作者: 建筑師 時間: 2025-3-26 20:18 作者: 蝕刻 時間: 2025-3-26 22:18
Airflow,s, to manage internal workflows in an efficient manner. Airflow later went on to become part of Apache in 2016 and was made available to users as an open source. Basically, Airflow is a framework for executing, scheduling, distributing, and monitoring various jobs in which there can be multiple task作者: abduction 時間: 2025-3-27 04:25
MLlib: Machine Learning Library,scikit-learn, R, and TensorFlow. However, what makes Spark’s Machine Learning library (MLlib) really useful is its ability to train models on scale and provide distributed training. This allows users to quickly build models on a huge dataset, in addition to preprocessing and preparing workflows with作者: 諂媚于性 時間: 2025-3-27 06:14 作者: 清醒 時間: 2025-3-27 10:54
Unsupervised Machine Learning,that we try to predict in unsupervised learning. It is mainly used to group together the features that seem to be similar to one another in some sense. These can be the distance between those features or some sort of similarity metric. In this chapter, I will touch on some unsupervised machine learn作者: 浪蕩子 時間: 2025-3-27 13:35
Deep Learning Using PySpark,ge language translation to self-driving cars, deep learning has become an important component in the larger scheme of things. There is no denying the fact that lots of companies today are betting heavily on deep learning, as a majority of their applications run using deep learning in the back end. F作者: 愛哭 時間: 2025-3-27 20:27 作者: 才能 時間: 2025-3-27 23:27
hine learning and deep learning models on big data sets.DiscLeverage machine and deep learning models to build applications on real-time data?using PySpark. This book is perfect for those who want to learn to use this language to perform exploratory data analysis and solve an array of business chall作者: 吹牛需要藝術(shù) 時間: 2025-3-28 02:22 作者: 離開真充足 時間: 2025-3-28 07:58 作者: 上下倒置 時間: 2025-3-28 13:09
Unsupervised Machine Learning,. These can be the distance between those features or some sort of similarity metric. In this chapter, I will touch on some unsupervised machine learning techniques and build one of the machine learning models, using PySpark to categorize users into groups and, later, to visualize those groups as well.作者: 傳授知識 時間: 2025-3-28 18:22 作者: angiography 時間: 2025-3-28 20:02
Deep Learning Using PySpark,or example, Google’s Gmail, YouTube, Search, Maps, and Assistance all use deep learning in some form or other. The reason is deep learning’s incredible ability to provide far better results, compared to some other machine learning algorithms.
