人工智能对金融世界的改变_人工智能革命正在改变网络世界
人工智能對(duì)金融世界的改變
The race of tech leaders for AI is so rude and competitive. Things are getting changed day after day by AI. Web development is no exception.
AI的技術(shù)領(lǐng)導(dǎo)者競(jìng)賽是如此粗魯和競(jìng)爭(zhēng)。 人工智能日新月異。 Web開(kāi)發(fā)也不例外。
Having a website is mandatory for all business niches in the market. And AI will empower web design and development. According to a Statista report, the revenue generation from AI is expected to reach $126 Billion in 2025.
網(wǎng)站是市場(chǎng)上所有業(yè)務(wù)細(xì)分領(lǐng)域的必備條件。 人工智能將支持Web設(shè)計(jì)和開(kāi)發(fā)。 根據(jù)Statista的一份報(bào)告,到2025年,來(lái)自AI的收入預(yù)計(jì)將達(dá)到1260億美元 。
As a web software engineer, I choose to give you today a brief vision about the top AI and ML frameworks for the web to keep an eye on in 2020 and beyond. This will change the web developer role and in-demand skills in the future.
作為一名網(wǎng)絡(luò)軟件工程師,我選擇今天為您簡(jiǎn)要介紹一下網(wǎng)絡(luò)的頂級(jí)AI和ML框架,以便在2020年及以后繼續(xù)關(guān)注。 將來(lái),這將改變Web開(kāi)發(fā)人員的角色和需求技能。
Ready? Let’s go ?~ ?(?)?
準(zhǔn)備? 出發(fā)吧???(?)?
張量流 (Tensorflow)
TensorFlow is a library for machine learning in JavaScript developed by the Google Brain team and introduced in 2015.
TensorFlow是由Google Brain團(tuán)隊(duì)開(kāi)發(fā)并于2015年推出JavaScript機(jī)器學(xué)習(xí)庫(kù)。
特點(diǎn): (Characteristics:)
Written In: C++, Python and, CUDA
撰寫: C ++,Python和CUDA
Platforms: Linux, macOS, Microsoft Windows, and Android.
平臺(tái): Linux,macOS,Microsoft Windows和Android。
關(guān)鍵點(diǎn): (Key points:)
- Web developers can run existing models in the browser or under Node.js. Web開(kāi)發(fā)人員可以在瀏覽器中或在Node.js下運(yùn)行現(xiàn)有模型。
- Retrain pre-existing Machine Learning models using your data (Transfer Learning) 使用數(shù)據(jù)重新訓(xùn)練已有的機(jī)器學(xué)習(xí)模型(轉(zhuǎn)移學(xué)習(xí))
- Develop ML with flexible and intuitive JavaScript APIs. 使用靈活直觀JavaScript API開(kāi)發(fā)ML。
阿帕奇·馬豪(Apache Mahout) (Apache Mahout)
Apache Mahout is an open-source machine learning framework developed by Apache Software Foundation in 2008.
Apache Mahout是Apache Software Foundation在2008年開(kāi)發(fā)的開(kāi)源機(jī)器學(xué)習(xí)框架。
特點(diǎn): (Characteristics:)
Written In: Java and Scala
撰寫: Java和Scala
Platforms: Apache Hadoop, Apache Spark, Apache Flink, Scala+
平臺(tái): Apache Hadoop,Apache Spark,Apache Flink,Scala +
關(guān)鍵點(diǎn): (Key points:)
Improve web application performance by using distributed linear algebra frameworks with mathematically expressive R-Like Scala DSL for distributed algorithms.
通過(guò)將分布式線性代數(shù)框架與具有數(shù)學(xué)表達(dá)能力的R-Like Scala DSL用于分布式算法一起使用,可以提高Web應(yīng)用程序的性能。
- Build scalably supervised (classification) and unsupervised (grouping) machine learning systems in the cloud with Apache Hadoop library. 使用Apache Hadoop庫(kù)在云中構(gòu)建可擴(kuò)展的監(jiān)督(分類)和不受監(jiān)督(分組)機(jī)器學(xué)習(xí)系統(tǒng)。
- Clustering implementations to discover similarities between items and grouping data thus enhance recommendation systems. 聚類實(shí)現(xiàn)以發(fā)現(xiàn)項(xiàng)目和分組數(shù)據(jù)之間的相似性,從而增強(qiáng)了推薦系統(tǒng)。
Microsoft認(rèn)知工具包 (Microsoft Cognitive Toolkit)
A free and easy-to-use open-source and deep-learning toolkit. Developed by Microsoft Research and founded in 2016.
一個(gè)免費(fèi)且易于使用的開(kāi)源和深度學(xué)習(xí)工具包 。 由Microsoft Research開(kāi)發(fā),于2016年成立。
特點(diǎn): (Characteristics:)
Written In: C++ and Python
撰寫: C ++和Python
Platforms: Windows, Linux
平臺(tái): Windows,Linux
Model Types: Support feed-forwards DNNs, convolutional and recurrent neural networks
模型類型:支持前饋DNN,卷積和遞歸神經(jīng)網(wǎng)絡(luò)
關(guān)鍵點(diǎn): (Key points:)
- Efficient for image recognition 高效的圖像識(shí)別
- Efficient for voice recognition 高效的語(yǔ)音識(shí)別
- Efficient for handwriting recognition 高效的手寫識(shí)別
- Used and known by big companies for its speech recognition, predictive analysis, and understanding large unstructured datasets, capabilities. 被大公司使用并因其語(yǔ)音識(shí)別,預(yù)測(cè)分析以及理解大型非結(jié)構(gòu)化數(shù)據(jù)集和功能而聞名。
Caffe2 (Caffe2)
Caffe2 is a flexible deep learning framework developed by Berkeley Vision and Learning Center and recently part of PyTorch.
Caffe2是由Berkeley Vision and Learning Center開(kāi)發(fā)的靈活的深度學(xué)習(xí)框架,并且是PyTorch的一部分。
特點(diǎn): (Characteristics:)
Written In: C++ and Python
撰寫: C ++和Python
Platforms: Linux, macOS, Windows
平臺(tái): Linux,macOS,Windows
關(guān)鍵點(diǎn): (Key points:)
- Easy to use and quick. 易于使用和快速。
- Flexible and high-performance framework for your machine learning product uses. 適用于您的機(jī)器學(xué)習(xí)產(chǎn)品的靈活而高性能的框架。
- Modular and facilitate fast prototyping of ideas and experiments in deep learning. 模塊化并促進(jìn)深度學(xué)習(xí)中思想和實(shí)驗(yàn)的快速原型制作。
阿帕奇·辛加(Apache Singa) (Apache Singa)
Apache Singa is a scalable and flexible Deep Learning platform developed by Apache Software Foundation and introduced in 2015.
Apache Singa是由Apache Software Foundation開(kāi)發(fā)并于2015年引入的可擴(kuò)展且靈活的深度學(xué)習(xí)平臺(tái)。
特點(diǎn): (Characteristics:)
Written In: C++, Python, Java
撰寫: C ++,Python,Java
Platforms: Linux, macOS, Windows
平臺(tái): Linux,macOS,Windows
關(guān)鍵點(diǎn): (Key points:)
Scalability: SINGA parallelizes the training and optimizes the communication cost to improve training scalability.
可擴(kuò)展性:SINGA 使培訓(xùn)并行化并優(yōu)化通信成本,以提高培訓(xùn)的可擴(kuò)展性。
Efficiency: builds a computational graph to optimizes the training speed and memory footprint.
效率: 建立計(jì)算圖以優(yōu)化訓(xùn)練速度和內(nèi)存占用。
Usability: has a simple software stack and Python interface to improve usability.
可用性:具有簡(jiǎn)單的軟件堆棧和Python界面以提高可用性。
外賣: (Takeouts:)
- There is no doubt that AI is transforming the IT world. 毫無(wú)疑問(wèn),人工智能正在改變IT世界。
- It evident too that it will bring a lot of value and power to web development. 同樣很明顯,它將為Web開(kāi)發(fā)帶來(lái)很多價(jià)值和力量。
- Stats are showing the big competition around this field. 統(tǒng)計(jì)數(shù)據(jù)顯示該領(lǐng)域的巨大競(jìng)爭(zhēng)。
- Tomorrow web developers will be more competitive with AI and ML skills. 明天的Web開(kāi)發(fā)人員將在AI和ML技能方面更具競(jìng)爭(zhēng)力。
- Web applications will become smarter with AI. 借助AI,Web應(yīng)用程序?qū)⒆兊酶又悄堋?
According to this article, 84% of businesses say that Artificial Intelligence will enable them to sustain or obtain a competitive advantage.
根據(jù)這篇文章 ,84%的企業(yè)表示人工智能將使他們能夠維持或獲得競(jìng)爭(zhēng)優(yōu)勢(shì)。
According to this article, 72% of respondents in the technology, media, and telecommunications industry expect AI to have a significant impact on product offerings in the next five years.
根據(jù)本文所述,技術(shù),媒體和電信行業(yè)中72%的受訪者預(yù)計(jì)AI在未來(lái)五年內(nèi)將對(duì)產(chǎn)品提供產(chǎn)生重大影響。
Dear reader, thank you for your time. Follow me for more interesting stories about web development and AI \ (???) /
親愛(ài)的讀者,謝謝您的寶貴時(shí)間。 跟隨我,獲得有關(guān)Web開(kāi)發(fā)和AI的更多有趣故事\(???)/
See you soon (ノ?ヮ?)ノ*:・゚?
很快見(jiàn)(ノ?ヮ?)ノ *:・ ゚?
FAM
FAM
翻譯自: https://levelup.gitconnected.com/ai-revolution-is-changing-the-web-world-fe38e751ede
人工智能對(duì)金融世界的改變
總結(jié)
以上是生活随笔為你收集整理的人工智能对金融世界的改变_人工智能革命正在改变网络世界的全部?jī)?nèi)容,希望文章能夠幫你解決所遇到的問(wèn)題。
- 上一篇: 酷睿i3与i5的差别
- 下一篇: 数据科学自动化_数据科学会自动化吗?