作者: debble 時(shí)間: 2025-3-21 22:52 作者: BAIT 時(shí)間: 2025-3-22 02:38
Textbook 2005ftliche Gesamtrechnung vorgestellt sowie elementare formale Methoden erl?utert. Anschlie?end wird die Technik der makro?konomischen Modellierung vermittelt. Ausgehend von einem einfachen Gütermarktmodell werden makro?konomische Modelle entwickelt, die die Volkswirtschaft zunehmend vollst?ndiger und 作者: thalamus 時(shí)間: 2025-3-22 08:29
978-3-540-23714-3Springer-Verlag Berlin Heidelberg 2005作者: anthropologist 時(shí)間: 2025-3-22 10:03
Makro?konomik978-3-540-27107-9Series ISSN 0937-7433 Series E-ISSN 2512-5214 作者: 愛(ài)國(guó)者 時(shí)間: 2025-3-22 16:15 作者: 拖網(wǎng) 時(shí)間: 2025-3-22 17:19
Springer-Lehrbuchhttp://image.papertrans.cn/m/image/621847.jpg作者: 果仁 時(shí)間: 2025-3-23 01:04 作者: anchor 時(shí)間: 2025-3-23 02:05
e seen an exponential progress in publications on AI. However, with the advent of increased computational power, availability of AI devices was increased. There are two main devices in AI, machine learning, where structured data (i.e. images, EP and genetic data) are analyzed and natural language pr作者: judicial 時(shí)間: 2025-3-23 07:14 作者: slipped-disk 時(shí)間: 2025-3-23 12:56
for creating, developing, and deploying machine learning in.Know how to do machine learning with Microsoft technologies. This book teaches you to do predictive, descriptive, and prescriptive analyses with Microsoft Power BI, Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, HD Insigh作者: FUSC 時(shí)間: 2025-3-23 15:08 作者: 車床 時(shí)間: 2025-3-23 20:31
ent. Apache Spark is quite popular among data scientists because of its ability to analyze huge amounts of data, its streaming capabilities, graph computation, machine learning, and interactive queries engine. Spark provides in-memory cluster computing. One of the popular tools for big data analytic作者: 死亡 時(shí)間: 2025-3-24 01:39
for creating, developing, and deploying machine learning in.Know how to do machine learning with Microsoft technologies. This book teaches you to do predictive, descriptive, and prescriptive analyses with Microsoft Power BI, Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, HD Insigh作者: TAIN 時(shí)間: 2025-3-24 03:37 作者: 思考 時(shí)間: 2025-3-24 07:41
lable 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 a作者: Nonconformist 時(shí)間: 2025-3-24 13:34
.Presents advanced features of engineering techniques for maBuild machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business challenges. This book starts with the fundamentals of Spark and its evolution and then covers the entire作者: 無(wú)瑕疵 時(shí)間: 2025-3-24 17:26 作者: sultry 時(shí)間: 2025-3-24 20:24 作者: incredulity 時(shí)間: 2025-3-25 02:47 作者: 要控制 時(shí)間: 2025-3-25 07:00 作者: 磨坊 時(shí)間: 2025-3-25 08:53 作者: glowing 時(shí)間: 2025-3-25 14:12
0937-7433 onjunktur-, Wachstums-, Geld- oder Au?enwirtschaftstheorie ansetzen. Weiterhin liefert das Buch einen überblick über die verschiedenen makro?konomischen Denkschulen, ihr jeweiliges ?konomisches Weltbild und deren wichtigste Vertreter..978-3-540-23714-3978-3-540-27107-9Series ISSN 0937-7433 Series E-ISSN 2512-5214 作者: 不真 時(shí)間: 2025-3-25 18:15
ed deep learning has initiated a boom of AI and great modifications of diagnostic medical imaging systems like endoscopic diagnosis, pathology and dermatology will be expected in the near future. Herein, the authors give a basic technical knowledge about popular methods, algorithms and applications 作者: 泥土謙卑 時(shí)間: 2025-3-25 20:30 作者: 凹槽 時(shí)間: 2025-3-26 00:10 作者: 大方不好 時(shí)間: 2025-3-26 05:17
form in Azure [1]. Azure Databricks is a new platform for big data analytics and machine learning. The notebook in Azure Databricks enables data engineers, data scientists, and business analysts to collaborate using a single tool. This chapter gives an overview of what Azure Databricks is, the envir作者: Intellectual 時(shí)間: 2025-3-26 09:15
s 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作者: debouch 時(shí)間: 2025-3-26 12:47 作者: 愉快嗎 時(shí)間: 2025-3-26 19:42 作者: Disk199 時(shí)間: 2025-3-27 00:43 作者: Mirage 時(shí)間: 2025-3-27 02:43
plifies the process of choosing the right architecture and tools for doing machine learning based on your specific infrastructure needs and requirements. ..Detailed content is provided on the main algorithms fo978-1-4842-3657-4978-1-4842-3658-1作者: Synovial-Fluid 時(shí)間: 2025-3-27 05:17
plifies the process of choosing the right architecture and tools for doing machine learning based on your specific infrastructure needs and requirements. ..Detailed content is provided on the main algorithms fo978-1-4842-3657-4978-1-4842-3658-1作者: Restenosis 時(shí)間: 2025-3-27 12:41
nd train various machine learning models. Additionally you’ll become comfortable with related PySpark components, such as data ingestion, data processing, and data analysis, that you can use to develop data-dri978-1-4842-4131-8作者: Endearing 時(shí)間: 2025-3-27 14:38 作者: NOT 時(shí)間: 2025-3-27 21:01
odify the code to suit their own needs. The book will be of interest to all researchers who intend to use R for machine learning, and those who are interested in the practical aspects of implementing learning a978-981-13-4950-8978-981-10-6808-9
