標(biāo)題: Titlebook: Machine Learning Concepts with Python and the Jupyter Notebook Environment; Using Tensorflow 2.0 Nikita Silaparasetty Book 2020 Nikita Sila [打印本頁(yè)] 作者: estrange 時(shí)間: 2025-3-21 16:21
書(shū)目名稱Machine Learning Concepts with Python and the Jupyter Notebook Environment影響因子(影響力)
書(shū)目名稱Machine Learning Concepts with Python and the Jupyter Notebook Environment影響因子(影響力)學(xué)科排名
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書(shū)目名稱Machine Learning Concepts with Python and the Jupyter Notebook Environment網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Machine Learning Concepts with Python and the Jupyter Notebook Environment被引頻次
書(shū)目名稱Machine Learning Concepts with Python and the Jupyter Notebook Environment被引頻次學(xué)科排名
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書(shū)目名稱Machine Learning Concepts with Python and the Jupyter Notebook Environment讀者反饋
書(shū)目名稱Machine Learning Concepts with Python and the Jupyter Notebook Environment讀者反饋學(xué)科排名
作者: corn732 時(shí)間: 2025-3-21 21:48 作者: originality 時(shí)間: 2025-3-22 03:47
Introduction to Jupyter Notebook, however, is not the most recommended tool to use when it comes to massive machine learning programming. This is why we have developed applications like Jupyter Notebook, which aid in such programming requirements.作者: 顯而易見(jiàn) 時(shí)間: 2025-3-22 07:17
Introducing Tensorflow 2.0till in its alpha version. Despite its being an unofficial release, it had already gathered quite a bit of attention from programmers, who soon realized that it was definitely a significant improvement from what it used to be.作者: 不愿 時(shí)間: 2025-3-22 11:04 作者: Allege 時(shí)間: 2025-3-22 16:17
erblick bei Br?uer/Winkler 2012). Die zu beobachtende Konsolidierung legt es nun aber zugleich nahe, nach der Justierung dieser Forschungsrichtung genauer zu fragen: Welche Zielsetzungen werden bzw. sollen verfolgt werden? Lassen sich Aussagen über geeignete Forschungsdesigns treffen? Welche Verknüp作者: 天真 時(shí)間: 2025-3-22 18:59 作者: aspect 時(shí)間: 2025-3-22 22:50
Nikita Silaparasettyklung eines institutionalisierten, ?ffentlichen, im Prinzip allen Kindern und Jugendlichen zug?nglichen Bildungswesens er?ffnet der heranwachsenden Generation bis dato einmalige Bildungschancen. Dass diese auch vermehrt genutzt werden, zeigt die Entwicklung der Schülerzahlen in den letzten Jahren; D作者: Mobile 時(shí)間: 2025-3-23 04:46
die historische und gesellschaftliche Entwicklung eines institutionalisierten, ?ffentlichen, im Prinzip allen Kindern und Jugendlichen zug?nglichen Bildungswesens der heranwachsenden Generation bis dato einmalige Bildungschancen er?ffnet. Dass diese auch vermehrt genutzt werden, zeigt sich mit Blick作者: Habituate 時(shí)間: 2025-3-23 06:34
Nikita Silaparasettynzepte. Im ersten Teil werden — ausgehend vom Bedeutungshof des Begriffs ?Intelligenz“ und seiner wissenschaftlichen Verwendung — exemplarisch drei Intelligenzmodelle vorgestellt: Spearmans Generalfaktormodell, Thurstones Modell der Prim?rf?higkeiten und ein hierarchisches Modell als Synthese dieser作者: 取回 時(shí)間: 2025-3-23 09:44
Nikita Silaparasettydie historische und gesellschaftliche Entwicklung eines institutionalisierten, ?ffentlichen, im Prinzip allen Kindern und Jugendlichen zug?nglichen Bildungswesens der heranwachsenden Generation bis dato einmalige Bildungschancen er?ffnet. Dass diese auch vermehrt genutzt werden, zeigt sich mit Blick作者: pacifist 時(shí)間: 2025-3-23 15:57
Nikita Silaparasettyner, zur Lehrerbildung. Dennoch wird hinsichtlich der Beziehung zwischen Universit?ts- und Schulrealit?t immer wieder ein Umsetzungsproblem konstatiert. Nicht umsonst (sondern ?zum Preis’ von Studiengebühren) demonstrieren Studierende für eine bessere Bildung (Schultz 2009). Die in den letzten Jahre作者: NIL 時(shí)間: 2025-3-23 21:45 作者: 反抗者 時(shí)間: 2025-3-24 02:12 作者: 有害處 時(shí)間: 2025-3-24 05:25 作者: 碳水化合物 時(shí)間: 2025-3-24 06:54
Book 2020ks down any barriers to programming machine learning applications through the use of Jupyter Notebook instead of a text editor or a regular IDE..You’ll start by learning how to use Jupyter Notebooks to improve the way you program with Python. After getting a good grounding in working with Python in 作者: Friction 時(shí)間: 2025-3-24 13:31
Machine Learning concepts and how TensorFlow simplifies the. .Create, execute, modify, and share machine learning applications with Python and TensorFlow 2.0 in the Jupyter Notebook environment.?This book breaks down any barriers to programming machine learning applications through the use of Jupyt作者: HOWL 時(shí)間: 2025-3-24 18:19
https://doi.org/10.1007/978-1-4842-5967-2TensorFlow; Deep Learning; Machine Learning; Jupyter Notebook; Python作者: 得意牛 時(shí)間: 2025-3-24 19:20 作者: Mucosa 時(shí)間: 2025-3-25 00:42
An Overview of Artificial Intelligencewhole other book to really dive deeply into it, we will go through a summary of important AI facts and concepts—what it is, how it came about, its benefits and drawbacks, and how it is being implemented in our present lives.作者: champaign 時(shí)間: 2025-3-25 03:22 作者: ACME 時(shí)間: 2025-3-25 10:08
Introduction to Jupyter Notebook, however, is not the most recommended tool to use when it comes to massive machine learning programming. This is why we have developed applications like Jupyter Notebook, which aid in such programming requirements.作者: 參考書(shū)目 時(shí)間: 2025-3-25 13:50 作者: 者變 時(shí)間: 2025-3-25 15:51
Nikita SilaparasettyGain comfort in the Jupyter Notebooks environment, which makes programming in Python even easier.Build a basic understanding of more complex Machine Learning concepts and how TensorFlow simplifies the作者: 悲痛 時(shí)間: 2025-3-25 20:35 作者: 明智的人 時(shí)間: 2025-3-26 04:08
An Overview of Machine LearningArtificial intelligence sounds pretty interesting, doesn’t it? It’s exciting to create a thinking machine that can do whatever you need it to do. And you don’t need to worry about learning something new and extravagant—all you need to do is learn to program.作者: brother 時(shí)間: 2025-3-26 04:46
Introduction to Deep LearningMachine learning for artificial intelligence sounds pretty interesting so far, doesn’t it? When I first heard about it, I thought it was something out of a science fiction movie. It’s so amazing how things used to be experienced only in . life, and now they can be experienced in . life too!作者: Accord 時(shí)間: 2025-3-26 12:05
Machine Learning With PythonIn previous chapters, we saw what artificial intelligence is and how machine learning and deep learning techniques are used to train machines to become smart. In these next few chapters, we will learn how machines are trained to take data, process it, analyze it, and develop inferences from it.作者: 災(zāi)難 時(shí)間: 2025-3-26 14:24 作者: Hormones 時(shí)間: 2025-3-26 20:11
The Tensorflow Machine Learning LibraryTo recap what was stated in an earlier chapter, Python has a huge variety of machine learning libraries that can be implemented in a program. These libraries serve various purposes—mathematical, scientific, graphical, and so on. Depending on the nature and the need of the program we are developing, we can call these libraries into our program.作者: 壓艙物 時(shí)間: 2025-3-26 23:26
Programming with TensorflowSo far, we’ve learned how Python can be used for lucrative machine learning with the help of its numerous libraries, which were created for just that purpose. We also know that Jupyter Notebook is a solid development environment that can be used to build and run large programs.作者: separate 時(shí)間: 2025-3-27 01:43
Machine Learning Concepts with Python and the Jupyter Notebook EnvironmentUsing Tensorflow 2.0作者: 憎惡 時(shí)間: 2025-3-27 06:19
Machine Learning Concepts with Python and the Jupyter Notebook Environment978-1-4842-5967-2作者: 消散 時(shí)間: 2025-3-27 10:31 作者: 勉強(qiáng) 時(shí)間: 2025-3-27 15:33 作者: 點(diǎn)燃 時(shí)間: 2025-3-27 17:54 作者: 加強(qiáng)防衛(wèi) 時(shí)間: 2025-3-28 00:49 作者: inflame 時(shí)間: 2025-3-28 05:26 作者: 偶然 時(shí)間: 2025-3-28 07:19 作者: Ceremony 時(shí)間: 2025-3-28 10:41
Nikita Silaparasettyg von Identit?t gilt Reflexionskompetenz als entscheidend. Was sich dahinter verbirgt und wie diese in der Lehrerbildung gef?rdert werden kann, wird in Abschnitt 1.2.2 er?rtert. Die theoretischen Herleitungen werden im empirischen Teil der Arbeit untersucht (Kapitel 2).作者: 書(shū)法 時(shí)間: 2025-3-28 14:54 作者: 無(wú)情 時(shí)間: 2025-3-28 19:49
sorFlow.Tacklebasic machine learning obstacles.Developin the Jupyter Notebooks environment.Who This Book Is For.Ideal for Machine Learning and Deep Learning enthusiasts who are interested in programming with Py978-1-4842-5966-5978-1-4842-5967-2作者: 不自然 時(shí)間: 2025-3-29 01:33
Book 2020and definitions to make learning even easier..What You Will Learn.Programin Python and TensorFlow.Tacklebasic machine learning obstacles.Developin the Jupyter Notebooks environment.Who This Book Is For.Ideal for Machine Learning and Deep Learning enthusiasts who are interested in programming with Py作者: 誰(shuí)在削木頭 時(shí)間: 2025-3-29 05:35 作者: Panacea 時(shí)間: 2025-3-29 07:53
10樓作者: 營(yíng)養(yǎng) 時(shí)間: 2025-3-29 15:24
10樓作者: Antioxidant 時(shí)間: 2025-3-29 15:39
10樓
