東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Time series forecasting using genera...

Vishwas, Banglore Vijay Kumar.

FindBook

Google Book

Amazon

博客來

Time series forecasting using generative AI = leveraging AI for precision forecasting /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Time series forecasting using generative AI/ by Banglore Vijay Kumar Vishwas, Sri Ram Macharla.
其他題名:	leveraging AI for precision forecasting /
作者:	Vishwas, Banglore Vijay Kumar.
其他作者:	Macharla, Sri Ram.
出版者:	Berkeley, CA :Apress : : 2025.,
面頁冊數:	xvi, 215 p. :ill., digital ;24 cm.
內容註:	Chapter 1: Time Series Meets Generative AI -- Chapter 2: Neural Network For Time Series -- Chapter 3: Transformers For Time Series -- Chapter 4: Time-LLM: Reprogramming Large Language Model -- Chapter 5: Chronos: Pretrained Probabilistic Time Series Model -- Chapter 6: TimeGPT: The First Foundation Model For Time Series -- Chapter 7: Moirai: A Time Series Foundation Model For Universal Forecasting -- Chapter 8: TimesFM: Decoder-Only Foundation Model For Time Series.
Contained By:	Springer Nature eBook
標題:	Time-series analysis - Data processing. -
電子資源:	https://doi.org/10.1007/979-8-8688-1276-7
ISBN:	9798868812767

Time series forecasting using generative AI = leveraging AI for precision forecasting /
Vishwas, Banglore Vijay Kumar.

Time series forecasting using generative AIleveraging AI for precision forecasting /[electronic resource] :by Banglore Vijay Kumar Vishwas, Sri Ram Macharla. - Berkeley, CA :Apress :2025. - xvi, 215 p. :ill., digital ;24 cm.

Chapter 1: Time Series Meets Generative AI -- Chapter 2: Neural Network For Time Series -- Chapter 3: Transformers For Time Series -- Chapter 4: Time-LLM: Reprogramming Large Language Model -- Chapter 5: Chronos: Pretrained Probabilistic Time Series Model -- Chapter 6: TimeGPT: The First Foundation Model For Time Series -- Chapter 7: Moirai: A Time Series Foundation Model For Universal Forecasting -- Chapter 8: TimesFM: Decoder-Only Foundation Model For Time Series.

ISBN: 9798868812767

Standard No.: 10.1007/979-8-8688-1276-7doiSubjects--Topical Terms:

700459
Time-series analysis
--Data processing.

LC Class. No.: QA280

Dewey Class. No.: 519.55

Time series forecasting using generative AI = leveraging AI for precision forecasting /
LDR:01503nmm a2200313 a 4500 001 2409604
003 DE-He213
005 20250325121129.0
006 m d
007 cr nn 008maaau
008 260204s2025 cau s 0 eng d
020 $a 9798868812767 $q (electronic bk.)
020 $a 9798868812750 $q (paper)
024 7 $a 10.1007/979-8-8688-1276-7 $2 doi
035 $a 979-8-8688-1276-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA280
072 7 $a UYQM $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a UYQM $2 thema
082 0 4 $a 519.55 $2 23
090 $a QA280 $b .V829 2025
100 1 $a Vishwas, Banglore Vijay Kumar. $3 3782893
245 1 0 $a Time series forecasting using generative AI $h [electronic resource] : $b leveraging AI for precision forecasting / $c by Banglore Vijay Kumar Vishwas, Sri Ram Macharla.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2025.
300 $a xvi, 215 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1: Time Series Meets Generative AI -- Chapter 2: Neural Network For Time Series -- Chapter 3: Transformers For Time Series -- Chapter 4: Time-LLM: Reprogramming Large Language Model -- Chapter 5: Chronos: Pretrained Probabilistic Time Series Model -- Chapter 6: TimeGPT: The First Foundation Model For Time Series -- Chapter 7: Moirai: A Time Series Foundation Model For Universal Forecasting -- Chapter 8: TimesFM: Decoder-Only Foundation Model For Time Series.
650 0 $a Time-series analysis $x Data processing. $3 700459
650 0 $a Artificial intelligence. $3 516317
650 0 $a Forecasting $x Data processing. $3 682003
650 1 4 $a Machine Learning. $3 3382522
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Python. $3 3201289
700 1 $a Macharla, Sri Ram. $3 3782894
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/979-8-8688-1276-7
950 $a Professional and Applied Computing (SpringerNature-12059)