找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Machine Learning with PySpark; With Natural Languag Pramod Singh Book 2022Latest edition Pramod Singh 2022 Machine Learning.PySpark.Python.

[復制鏈接]
查看: 14999|回復: 45
樓主
發(fā)表于 2025-3-21 19:13:26 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Machine Learning with PySpark
副標題With Natural Languag
編輯Pramod Singh
視頻videohttp://file.papertrans.cn/621/620715/620715.mp4
概述Covers how to transition from Python-based ML models to PySpark-based large scale models.Covers how to automate your data workflow using Airflow.Explains the end-to end machine learning pipeline for m
圖書封面Titlebook: Machine Learning with PySpark; With Natural Languag Pramod Singh Book 2022Latest edition Pramod Singh 2022 Machine Learning.PySpark.Python.
描述.Master the new features in PySpark 3.1 to develop data-driven, intelligent applications. This updated edition covers topics ranging from building scalable machine learning models, to natural language processing, to recommender systems...Machine Learning with PySpark, Second Edition. begins with the fundamentals of Apache Spark, including the latest updates to the framework. Next, you will learn the full spectrum of traditional machine learning algorithm implementations, along with natural language processing and recommender systems. You’ll gain familiarity with the critical process of selecting machine learning algorithms, data ingestion, and data processing to solve business problems. You’ll see a demonstration of how to build supervised machine learning models such as linear regression, logistic regression, decision trees, and random forests. You’ll also learn how to automate the steps using Spark pipelines, followed by unsupervised models such as K-means and hierarchical clustering. A section on Natural Language Processing (NLP) covers text processing, text mining, and embeddings for classification. This new edition also introduces Koalas in Spark and how to automate data workf
出版日期Book 2022Latest edition
關鍵詞Machine Learning; PySpark; Python; Supervised Learning; Unsurpervised Learning; Reinforcement Learning; Re
版次2
doihttps://doi.org/10.1007/978-1-4842-7777-5
isbn_softcover978-1-4842-7776-8
isbn_ebook978-1-4842-7777-5
copyrightPramod Singh 2022
The information of publication is updating

書目名稱Machine Learning with PySpark影響因子(影響力)




書目名稱Machine Learning with PySpark影響因子(影響力)學科排名




書目名稱Machine Learning with PySpark網(wǎng)絡公開度




書目名稱Machine Learning with PySpark網(wǎng)絡公開度學科排名




書目名稱Machine Learning with PySpark被引頻次




書目名稱Machine Learning with PySpark被引頻次學科排名




書目名稱Machine Learning with PySpark年度引用




書目名稱Machine Learning with PySpark年度引用學科排名




書目名稱Machine Learning with PySpark讀者反饋




書目名稱Machine Learning with PySpark讀者反饋學科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權限
沙發(fā)
發(fā)表于 2025-3-21 23:52:59 | 只看該作者
osely connected (see Sect. 3.3). It is important to note here that the problem of determination of the reflection and transmission coefficients can be solved without the main problem (i.e., the determination of the radiation field in the atmosphere) being solved.
板凳
發(fā)表于 2025-3-22 01:51:23 | 只看該作者
地板
發(fā)表于 2025-3-22 04:50:04 | 只看該作者
Pramod Singheneous models. This book is close to the aforementioned monographs in its scope of prob- lems and style. Therefore, I guess that a preliminary knowledge of the con- tents of these books, particularly of the book by Sobolev, would facilitate the readers‘ task substantially. On the other hand, all concepts, pro978-3-642-64417-7978-3-642-60465-2
5#
發(fā)表于 2025-3-22 11:30:27 | 只看該作者
6#
發(fā)表于 2025-3-22 14:05:18 | 只看該作者
7#
發(fā)表于 2025-3-22 17:59:50 | 只看該作者
Pramod Singhght scattering and related optical methods and to report about new applications of the technique in physics, chemistry and biology. The first two days of the meeting were devoted to the oral presentations of papers. In the third day an informal session was held which included a very lively and thorough discus978-1-4615-9187-0978-1-4615-9185-6
8#
發(fā)表于 2025-3-23 01:16:56 | 只看該作者
Pramod Singh be easily transposed to the problem of light diffraction by ultrasounds in these microstructures . The use of ultrasonic waves (as compared with acoustic phonons of the light-scattering experiments) allows a flexibility by far larger, and the interaction efficiencies are much higher, since one can
9#
發(fā)表于 2025-3-23 04:52:52 | 只看該作者
Pramod Singhich exciton and cavity-photon modes cannot be treated separately, leading to coupled excitations, so-called cavity polaritons. In this second case, when the laser or scattered photons are tuned to the excitonic energies, and thus an electronic resonant Raman-scattering process is achieved, the Raman
10#
發(fā)表于 2025-3-23 06:39:30 | 只看該作者
Pramod Singhich exciton and cavity-photon modes cannot be treated separately, leading to coupled excitations, so-called cavity polaritons. In this second case, when the laser or scattered photons are tuned to the excitonic energies, and thus an electronic resonant Raman-scattering process is achieved, the Raman
 關于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-30 07:31
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
南岸区| 伊宁县| 绵竹市| 西乡县| 开化县| 武邑县| 英吉沙县| 铅山县| 洛南县| 缙云县| 小金县| 滕州市| 盐津县| 饶河县| 增城市| 时尚| 扶余县| 万年县| 固阳县| 沂水县| 临邑县| 罗源县| 麻城市| 鹤壁市| 沈阳市| 山阴县| 二手房| 陵川县| 双流县| 罗定市| 尤溪县| 西城区| 荆州市| 丰县| 耿马| 定远县| 奎屯市| 凌源市| 郯城县| 随州市| 泸州市|