標(biāo)題: Titlebook: An Introduction to Machine Learning; Gopinath Rebala,Ajay Ravi,Sanjay Churiwala Book 2019 Springer Nature Switzerland AG 2019 Deep Learnin [打印本頁] 作者: Randomized 時間: 2025-3-21 16:24
書目名稱An Introduction to Machine Learning影響因子(影響力)
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書目名稱An Introduction to Machine Learning網(wǎng)絡(luò)公開度
書目名稱An Introduction to Machine Learning網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱An Introduction to Machine Learning被引頻次
書目名稱An Introduction to Machine Learning被引頻次學(xué)科排名
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書目名稱An Introduction to Machine Learning讀者反饋
書目名稱An Introduction to Machine Learning讀者反饋學(xué)科排名
作者: 不成比例 時間: 2025-3-21 20:45
Regressions, to make predictions. This chapter starts getting into the actual aspects of machine learning. By the end of this chapter, you will be able to perform some simple predictions for new data, based on learning from the labelled dataset (from prior observations).作者: molest 時間: 2025-3-22 03:27 作者: 協(xié)奏曲 時間: 2025-3-22 05:01 作者: obeisance 時間: 2025-3-22 09:03 作者: 龍卷風(fēng) 時間: 2025-3-22 13:35
Natural Language Processing,ariety of applications including speech recognition, language translations, summarization, question responses, speech generation, and search applications. NLP is an area of research which has proven to be difficult to master. Deep learning techniques have started to solve some of the issues involved作者: Expurgate 時間: 2025-3-22 18:09 作者: 恃強(qiáng)凌弱的人 時間: 2025-3-22 21:22 作者: overwrought 時間: 2025-3-23 04:17
Anomaly Detection, about a defect in a component or a fraudulent exchange. For example, if a person usually types with a certain speed, and suddenly the system sees a different speed, it is anomalous behavior, giving an indication of possible impersonation. Or, for a component, certain measured parameters being outsi作者: Harrowing 時間: 2025-3-23 05:42 作者: 異常 時間: 2025-3-23 12:21
Convolution,d you have seen how they work on numbers. Convolution is a technique which automates extraction and synthesis of significant features needed to identify the target classes, useful for machine learning applications. Fundamentally, convolution is feature engineering guided by the ground truth and cost作者: Dysplasia 時間: 2025-3-23 17:16
Components of Reinforcement Learning,intelligence (AGI). While RL has been researched for a few decades, the advent of deep learning has resulted in the so-called deep reinforcement learning algorithms that utilize deep neural networks and large-scale computing power to significantly improve the capabilities of RL. They have resulted i作者: Gobble 時間: 2025-3-23 18:10
Reinforcement Learning Algorithms, those challenges in order to form the algorithms for reinforcement learning. Reinforcement learning is an area of very active research, and new variations of algorithms are proposed regularly. An understanding of this chapter will provide you with a good basis, so that you can appreciate not just t作者: organic-matrix 時間: 2025-3-24 01:58 作者: 飲料 時間: 2025-3-24 05:58 作者: BORE 時間: 2025-3-24 08:10 作者: Presbyopia 時間: 2025-3-24 14:04 作者: Comprise 時間: 2025-3-24 16:42
Natural Language Processing,ariety of applications including speech recognition, language translations, summarization, question responses, speech generation, and search applications. NLP is an area of research which has proven to be difficult to master. Deep learning techniques have started to solve some of the issues involved in natural language processing.作者: Obscure 時間: 2025-3-24 19:21
Deep Learning,goes on. Deep neural networks in general refer to neural networks with many layers and large number of neurons, often layered in a way that is generally not domain specific. Availability of compute power and large amount of data has made these large structures very effective in learning hidden features along with data patterns.作者: ETCH 時間: 2025-3-25 00:41 作者: 喚起 時間: 2025-3-25 05:41
https://doi.org/10.1007/978-3-030-15729-6Deep Learning; Cloud computing; Big data; Feature Search/Convolution; Natural Language Processing作者: CHYME 時間: 2025-3-25 08:24
Springer Nature Switzerland AG 2019作者: Amnesty 時間: 2025-3-25 12:52 作者: assent 時間: 2025-3-25 15:54 作者: 調(diào)整 時間: 2025-3-25 23:35
https://doi.org/10.1007/978-3-662-59382-0categories are labelled, and models are generally learned from training data. Classification models can be created using simple thresholds, regression techniques, or other machine learning techniques like Neural Networks, Random Forests, or Markov models.作者: 痛苦一下 時間: 2025-3-26 03:11 作者: 貴族 時間: 2025-3-26 06:21
https://doi.org/10.1007/978-3-662-28879-5ariety of applications including speech recognition, language translations, summarization, question responses, speech generation, and search applications. NLP is an area of research which has proven to be difficult to master. Deep learning techniques have started to solve some of the issues involved in natural language processing.作者: 分貝 時間: 2025-3-26 09:08 作者: 神圣不可 時間: 2025-3-26 14:34 作者: 他去就結(jié)束 時間: 2025-3-26 17:24
Zur Geschichte der Umlaufgetriebe,nt learning models. Subsequent chapters will dive deeper into the various algorithms or applications that depend on these models. The primary learning models that will be considered are?Supervised, Unsupervised, Semi-supervised and Reinforcement learning.作者: Tempor 時間: 2025-3-27 00:23 作者: outskirts 時間: 2025-3-27 03:29
https://doi.org/10.1007/978-3-662-59382-0categories are labelled, and models are generally learned from training data. Classification models can be created using simple thresholds, regression techniques, or other machine learning techniques like Neural Networks, Random Forests, or Markov models.作者: 有害處 時間: 2025-3-27 05:25 作者: 辯論的終結(jié) 時間: 2025-3-27 11:39 作者: frivolous 時間: 2025-3-27 16:00
https://doi.org/10.1007/978-3-662-28879-5ariety of applications including speech recognition, language translations, summarization, question responses, speech generation, and search applications. NLP is an area of research which has proven to be difficult to master. Deep learning techniques have started to solve some of the issues involved作者: 笨拙的你 時間: 2025-3-27 19:01 作者: addict 時間: 2025-3-27 23:09 作者: vitreous-humor 時間: 2025-3-28 03:40 作者: Stress 時間: 2025-3-28 07:08
Operationalisierung der zentralen Variablen,xercised by you and by others who have exhibited similar tastes in their choices. When you visit an e-commerce site and look for a specific dress, you start seeing several other dresses which are similar. Or, when you watch a video on YouTube, it starts recommending several other videos which are si作者: 公社 時間: 2025-3-28 13:28
https://doi.org/10.1007/978-3-531-90488-7d you have seen how they work on numbers. Convolution is a technique which automates extraction and synthesis of significant features needed to identify the target classes, useful for machine learning applications. Fundamentally, convolution is feature engineering guided by the ground truth and cost作者: 硬化 時間: 2025-3-28 17:18 作者: Ancillary 時間: 2025-3-28 21:09 作者: 哭得清醒了 時間: 2025-3-28 22:55 作者: LUMEN 時間: 2025-3-29 06:22 作者: GAVEL 時間: 2025-3-29 09:10
Einheit und Mehrheit von Insolvenzverfahren, refers to grouping of elements that are close to each other. The assumption being as elements in a groups are close to each other, they would have similarity in properties of interest.作者: 六個才偏離 時間: 2025-3-29 14:45 作者: Ischemia 時間: 2025-3-29 16:58 作者: 語言學(xué) 時間: 2025-3-29 21:59 作者: 油膏 時間: 2025-3-30 01:57 作者: 臭名昭著 時間: 2025-3-30 04:38 作者: hazard 時間: 2025-3-30 09:54
Testing the Algorithm and the Network,The learnings in this chapter will help you determine if your choice of features and the number of datasets are sufficient or should you increase datasets and/or increase/decrease the number of features forming your hypothesis.作者: Inferior 時間: 2025-3-30 12:44
Designing a Machine Learning System,In the previous chapters, you have seen various algorithms and how they apply to specific problem domains. This chapter will help you get into the finer details of designing a machine learning system. The concepts explained in this chapter are less about individual algorithms; they are about making choices for implementing your algorithms.作者: 翻布尋找 時間: 2025-3-30 18:59 作者: Coordinate 時間: 2025-3-30 23:46 作者: encyclopedia 時間: 2025-3-31 04:57 作者: defibrillator 時間: 2025-3-31 07:23
Convolution,eting street signs, etc. As you can well imagine, one of the most famous applications of machine learning – ADAS (autonomous driver assistance system) – depends on convolution as a component of the whole system to identify objects and to interpret signs!!作者: BILE 時間: 2025-3-31 12:15 作者: licence 時間: 2025-3-31 13:52
Bewertung der neueren Rechtsprechung,lutional Neural Network). A good understanding of a neural network is necessary to understand these and other applications that have raised so much interest in machine learning. Neural networks are also used in unsupervised learning for compressed representation and/or dimensionality reduction.作者: NAUT 時間: 2025-3-31 20:41 作者: 貿(mào)易 時間: 2025-3-31 21:40
(Artificial) Neural Networks,lutional Neural Network). A good understanding of a neural network is necessary to understand these and other applications that have raised so much interest in machine learning. Neural networks are also used in unsupervised learning for compressed representation and/or dimensionality reduction.作者: 躺下殘殺 時間: 2025-4-1 05:39 作者: 2否定 時間: 2025-4-1 08:16 作者: Mangle 時間: 2025-4-1 11:48
Reinforcement Learning Algorithms,he current generation algorithms but also understand new research findings in this area. RL involves interaction of multiple components and concepts, which you have already seen in prior chapters in this book.
