找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Beginning Mathematica and Wolfram for Data Science; Applications in Data Jalil Villalobos Alva Book 20211st edition Jalil Villalobos Alva 2

[復(fù)制鏈接]
樓主: 適婚女孩
31#
發(fā)表于 2025-3-26 21:15:03 | 只看該作者
Jatinderkumar R. Saini,Vikas S. Chomalugh equations and implement specialized functions of the Wolfram Language for the same purpose. With the use of statistical functions. The Wolfram Language is a useful tool for statistics and probability. Mathematica has the functions to perform numerical and approximate calculations for descriptive
32#
發(fā)表于 2025-3-27 01:39:54 | 只看該作者
Atul Kumar Verma,Mahipal Jadeja,Rahul Saxena built in order to have a better understanding of its use in Mathematica through the Wolfram Language. Examples will be carried out on how to download the data from this platform through the use of the Wolfram Language as well as its representation of data in the form dataset as well as using the Qu
33#
發(fā)表于 2025-3-27 08:31:04 | 只看該作者
Divya Hiran,Hemant Kothari,Shivoham Singhutations will be shown as well as the concept of the learning curve of the model. Later, we will see how to use the specialized functions of the Wolfram Language for machine learning such as Predict, Classify and ClusterClassify, in the case of linear regression, for logistic regression and for clus
34#
發(fā)表于 2025-3-27 09:51:12 | 只看該作者
Ashish P. Ramdasi,S. Sathyalakshmiayers, how to use the commands for different layers, and the most common layers. We will learn how to enter data into the layers by the net port, as well as the different forms of equivalent expression of the layers. This is followed by how to distinguish different layers by their symbol. We will se
35#
發(fā)表于 2025-3-27 15:29:14 | 只看該作者
36#
發(fā)表于 2025-3-27 18:56:54 | 只看該作者
Jalil Villalobos AlvaThe first introduction to data science using Mathematica and Wolfram.Covers very popular in-demand topics such as machine learning and neural networks.Includes freely available source code
37#
發(fā)表于 2025-3-28 01:01:14 | 只看該作者
38#
發(fā)表于 2025-3-28 03:53:03 | 只看該作者
ICT Systems Security and Privacy Protectione define what can be included within this structure as well as the creation of lists, nested lists, arrays, vectors, and matrices. We explore how to order a list, how to assign new values, and finally how to select elements of a list depending on an established pattern.
39#
發(fā)表于 2025-3-28 08:54:26 | 只看該作者
40#
發(fā)表于 2025-3-28 12:32:15 | 只看該作者
 關(guān)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(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-7 12:51
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
鄱阳县| 高邑县| 桂阳县| 砚山县| 加查县| 灌云县| 钦州市| 兰州市| 永城市| 茶陵县| 瑞丽市| 维西| 嘉祥县| 沅江市| 永城市| 桐乡市| 安阳市| 九江市| 濉溪县| 荔浦县| 资溪县| 五常市| 临夏市| 凭祥市| 离岛区| 阳新县| 虎林市| 安塞县| 高要市| 乌海市| 东兴市| 兴义市| 化德县| 兴业县| 丽江市| 竹北市| 高尔夫| 台州市| 吉水县| 木兰县| 萝北县|