標(biāo)題: Titlebook: Machine Learning Using R; With Time Series and Karthik Ramasubramanian,Abhishek Singh Book 2019Latest edition Karthik Ramasubramanian and A [打印本頁] 作者: Sparkle 時間: 2025-3-21 17:35
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書目名稱Machine Learning Using R網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Machine Learning Using R被引頻次
書目名稱Machine Learning Using R被引頻次學(xué)科排名
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書目名稱Machine Learning Using R讀者反饋
書目名稱Machine Learning Using R讀者反饋學(xué)科排名
作者: BOLT 時間: 2025-3-21 21:00 作者: liaison 時間: 2025-3-22 00:31
Data Visualization in R, is the process of creating and studying the visual representation of data to bring some meaningful insights.作者: 健壯 時間: 2025-3-22 07:32 作者: 大方一點(diǎn) 時間: 2025-3-22 10:36
Karthik Ramasubramanian,Abhishek SinghA comprehensive guide for anybody who wants to understand the machine learning model building process from end to end.Includes practical demonstrations of concepts in R.Covers deep-learning models wit作者: Mirage 時間: 2025-3-22 13:57 作者: Forehead-Lift 時間: 2025-3-22 20:59
Feature Engineering,ature engineering is a term coined to give due importance to the domain knowledge required to select sets of features for machine learning algorithms. It is one of the reasons that most of the machine learning professionals call it an informal process.作者: 天然熱噴泉 時間: 2025-3-22 22:37
Machine Learning Model Evaluation,rmance and decide whether to go ahead with the model or revisit all our previous steps as described in the PEBE, our machine learning process flow, in Chapter .. In many cases, we may even discard the complete model based on the performance metrics. This phase of the PEBE plays a very critical role in the success of any ML-based project.作者: cognizant 時間: 2025-3-23 05:16 作者: lipids 時間: 2025-3-23 05:47
Time Series Modeling,t have high correlation with time and considerable part of the variance is due to changing times. The introduction to time series analysis will help you understand how to count time-dependent variations.作者: Cuisine 時間: 2025-3-23 11:59 作者: 虛度 時間: 2025-3-23 16:11
onstrations of concepts in R.Covers deep-learning models wit.Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. Yo作者: Phenothiazines 時間: 2025-3-23 18:23 作者: sphincter 時間: 2025-3-24 01:56 作者: paradigm 時間: 2025-3-24 02:38 作者: Ornament 時間: 2025-3-24 07:19
Deep Learning Using Keras and TensorFlow, with a business model involving revenue generation from inferences coming out from data. The most promising advancement in this surge in data and availability of computing power is how differently we are looking at solving complex problems.作者: progestin 時間: 2025-3-24 11:05
Introduction to Machine Learning and R,flow across different industries with some challenging problems to be solved and machine learning simply established that high-speed and frictionless pipeline. The other subjects that evolved from statistics and machine learning are simply trying to broaden the scope of these two subjects and puttin作者: 極少 時間: 2025-3-24 16:36 作者: 腐蝕 時間: 2025-3-24 22:17
Book is For.Data scientists, data science professionals, and researchers in academia who want to understand the nuances of machine-learning approaches/algorithms in practice using R..978-1-4842-4214-8978-1-4842-4215-5作者: insurgent 時間: 2025-3-25 02:27 作者: 發(fā)源 時間: 2025-3-25 05:08 作者: Presbyopia 時間: 2025-3-25 08:14 作者: beta-carotene 時間: 2025-3-25 12:50 作者: 向宇宙 時間: 2025-3-25 18:11 作者: 讓你明白 時間: 2025-3-25 21:25 作者: Polydipsia 時間: 2025-3-26 02:49 作者: 碎石 時間: 2025-3-26 07:47
Machine Learning Theory and Practice,he games like Go and Jeopardy against humans, ML is pervasive. The availability and ease of collecting data coupled with high computing power has made this field even more conducive to researchers and businesses to explore data-driven solutions for some of the most challenging problems. This has led作者: 埋伏 時間: 2025-3-26 10:21
Machine Learning Model Evaluation,rmance and decide whether to go ahead with the model or revisit all our previous steps as described in the PEBE, our machine learning process flow, in Chapter .. In many cases, we may even discard the complete model based on the performance metrics. This phase of the PEBE plays a very critical role 作者: insert 時間: 2025-3-26 15:52
Model Performance Improvement,lso play the role of thresholds to decide whether the model can be put into actual decision making systems or needs improvements. In the previous chapter, we discussed some performance metrics for our continuous and discrete cases. In this chapter, we discuss how changing the modeling process can he作者: 創(chuàng)新 時間: 2025-3-26 17:30
Time Series Modeling,t have high correlation with time and considerable part of the variance is due to changing times. The introduction to time series analysis will help you understand how to count time-dependent variations.作者: evaculate 時間: 2025-3-26 21:11
Scalable Machine Learning and Related Technologies,cture, data, and real-world application. Machine learning was being much talked about in the research community of academia or in well-funded industry research labs. A prototype of any real-world application using machine learning was considered a big feat and a demonstration of breakthrough researc作者: CRACK 時間: 2025-3-27 03:22
Deep Learning Using Keras and TensorFlow, stored, and application design had no data-driven thinking. The times have indeed changed, with the abundance of computing and storage resources, where we have the "data first" thinking and increasing volumes of data are now available from every business application. Large enterprises are now built作者: 有花 時間: 2025-3-27 07:11
David Thomas Johnsonuptvorteil liegt neben der Nichtinvasivit?t vor allem in der leichten Anwendbarkeit; nachteilig sind die Abh?ngigkeit von der Patientenlagerung sowie die geringe Sensitivit?t in der frühen Schwangerschaft und bei adip?sen Patientinnen. Im Rahmen unserer Arbeiten an der wehengesteuerten Bolustokolyse作者: periodontitis 時間: 2025-3-27 11:37
Heidrun Ellinger-Ziegelbauer,Hans-Juergen Ahrr, we exploit a modeling of this framework via labeled Markov Chains (LMCs) to provide a .: we consider a probabilistic variant of the Hennessy-Milner logic and we define a . on formulae in it measuring their syntactic disparities. Then, we define a . on LMCs in terms of the syntactic distance betwe作者: BARK 時間: 2025-3-27 15:07 作者: Chauvinistic 時間: 2025-3-27 21:24 作者: cochlea 時間: 2025-3-27 22:01 作者: 價值在貶值 時間: 2025-3-28 05:50 作者: 婚姻生活 時間: 2025-3-28 08:31
Tamper-Resistant Biometric IDs photo, an arbitrary textual message, and a 2-D color barcode which encodes an RSA signature of the message hash and the compressed representation of the face encompassed by the photo. The signature is created using the private key of the party issuing the ID. ID verification is performed by a simpl作者: Contort 時間: 2025-3-28 10:48 作者: pulmonary-edema 時間: 2025-3-28 17:50
Role of Hematopoietic Growth Factors in Radiation Victimsition, duration of decreased blood cell levels, and likelihood of spontaneous recovery are dose dependent in the range of 1–10 Gy. Although experimental and clinical data suggest that some hematopoietic stem cells survive doses of radiation ≥ 10 Gy, hematopoietic recovery is unlikely at higher doses作者: Cpap155 時間: 2025-3-28 19:27 作者: Locale 時間: 2025-3-29 00:48 作者: avenge 時間: 2025-3-29 04:39 作者: 乳汁 時間: 2025-3-29 07:52 作者: OWL 時間: 2025-3-29 13:33 作者: Tempor 時間: 2025-3-29 17:05 作者: 格言 時間: 2025-3-29 23:42 作者: Intact 時間: 2025-3-30 02:16 作者: Estimable 時間: 2025-3-30 05:52 作者: 古老 時間: 2025-3-30 12:04
Purpose. Approach. Methodology,nsistent with the requirements of scientific approach. The manner and scope of presentation of the topic has been chosen according to the requirements of the testability of theories and procedures. This encompasses discussion and assessment of assumptions, derivations, and procedures of collecting experimental data and evaluating of results.
