Podcasts about Mahout

Imagine your everyday critters, but supersized to the max in prehistoric times – we're talking animals that make today's versions look like pocket pets. Take the prehistoric armadillo, for example; back in the day, these armored dudes were practically the size of small cars. Ever heard of the giant ground sloth? Picture a sloth, but towering over you like a tree. And don't get me started on the colossal turtle the size of a hippo. Trust me, prehistoric wildlife was playing in a league of its own!

In this episode, we observe an overpowering emotion, as depicted in Sangam Literary work, Puranaanooru 220, penned about the Chozha King Koperunchozhan by the poet Poththiyaar. Set in the category of 'Pothuviyal Thinai' or 'Common Themes', the verse sketches a sense of loss and sorrow.

Whitehall 1212, named after the then famous telephone number of Scotland Yard—the headquarters of the London Metropolitan Police Force—was written and directed by Wyllis Cooper and broadcast by NBC. It was hosted by Chief Superintendent John Davidson, curator of the Black Museum and it used many of the same picked cases by contemporary radio show The Black Museum, and nearly mirrored its broadcast run. The two shows were different in the respect that while Whitehall 1212 told the story of a case entirely from the point of view of the police starting from the crime scene, The Black Museum was more heavily dramatized and played out scenes of the actual murders and included scenes from the criminal's point of view. Listen to our radio station Old Time Radio https://link.radioking.com/otradio Listen to other Shows at My Classic Radio https://www.myclassicradio.net/ Remember that times have changed, and some shows might not reflect the standards of today's politically correct society. The shows do not necessarily reflect the views, standards, or beliefs of Entertainment Radio

I have an inherent fear of snakes. Even the most innocuous of grass snakes assumes the status of an anaconda in my imagination. As a child, I sought out the privacy of a large bush, only to discover that I had picked the very spot favoured by adders. I don't know who was more surprised, the adders or me. It's a testament to youthful speed and agility that I lived to tell the tale. As a student I was once enjoying a moment of privacy in our shared house bathroom when I began to suspect I could have overdone things. The lino appeared to be moving. There was something on my foot. While I could not be certain, I was taking no chances and the sequence of events went; departure from bathroom and house followed by the securing of clothes. It turned out to be a garter snake that I had unknowingly shared several nights in front of the telly with. No one had said a word. I never went back. On an elephant ride through the rain forest in Thailand, the Mahout thought it would be amusing to give us a close up view of long black snakes hanging from the tree. In an effort to keep me calm, my companion counselled against this course. The Mahout, who had huge pupils shimmering like saucers, was only encouraged. I held on tight as a snake brushed past me. I never saw it until it was literally upon me. My companion had to hold me down. When I was in Delhi I ambled across a very pretty court yard, narrowly missing a collision with a small unimposing man sitting cross legged on the floor. What I didn't spot, but my friend did, was the cobra in a basket in front of him. Knowing how scared I would be, he never said a word until after we had left. At a picnic table outside Cairns, the then sixteen-year-old son said to me, “whatever you do, don't turn round.” I turned round to find myself nose to nose with an enormous python. On the upside, it was good to know that I had lost none of the agility that had saved me from the adders. In a seamless maneuverer, I vaulted the picnic table, sweeping away a picnic for six. I took out at least one of the small children sharing the table with us before ending up face down on the ground. Amidst the crying and gasping, hysterical laughter, cheering and clapping all around me, the Son was not sympathetic. “I told you not to turn round.” Recently I fear I spent a night in close proximity to a snake in a vivarium no one told me about. I enjoyed a perfectly good dinner and nights slight in ignorance of this fact. Had I have known, I should have immediately left. Knowing it now, I put my trust in my friends coming clean next time around. It is one of the quirks of sight loss, that in trying to make sense of the visual world, and being hard wired to spot danger, I cannot help but let my initial assessment of the situation scream a warning. My initial assessment is not always the most reliable. In the rolodex of possibilities that runs through my mind, and on the limited visual image available, first thoughts don't always turn out to be right. A flashing thought that I am standing next to a bear on the Northern line sends my stomach into a lurch. Fear is quickly tempered by a rationalisation that this is a person in a fur coat. When the Lady in the Van spotted a Boer constrictor on Parkway, everyone laughed, but she turned out to be right. You can never be too careful.

In today's episode, we take a deep dive into an ethical elephant rescue in Chiang Mai, Thailand that I have visited and recommend: Elephant Nature Park!All destination highlight episodes are places I have personally visited and recommend due to their ethical standards.World Nomads Travel Insurancehttps://www.worldnomads.com/Turnstile/AffiliateLink?partnerCode=stmblsfri&source=link&utm_source=stmblsfri&utm_content=link&path=//www.worldnomads.com/travel-insurance/Chase Sapphire Reserved Credit Card https://www.referyourchasecard.com/6/LN9FIIBZZR Loop Abroad https://www.loopabroad.com(use Stacia Mintner as a reference to get $100 off your admission)SourcesBuckley, Carol. Elephant Foot Care and Mahout training provided by Elephant Aid International: Summary of Services Provided. Outcomes and Recommendations. Elephant Aid International. 2011. Letter. https://www.elephantaidinternational.org/pdf/ENP_Report2011.pdf Garcia, Luisa. Meet Thailand's elephant whisperer. CBS News. 2016. https://www.cbsnews.com/news/meet-sangduen-lek-chailert-thailands-elephant-whisperer/ Sacha & Jmayel. 15 Quick Facts on Chiang Mai. 8 Miles from Home. 2012. Blog. https://8milesfromhome.com/15-facts-on-chiang-mai/ The Elephant Nature Park. About Us. https://www.elephantnaturepark.org/about/about-us/ The Elephant Nature Park. FAQ. https://www.elephantnaturepark.org/enp/faq-s Ynoei. 15 Interesting Facts About Chiang Mai (Northern Thailand). Chiang Mai Traveller. 2017. https://www.chiangmaitraveller.com/15-interesting-facts-about-chiang-mai/ Support the show (https://buymeacoffee.com/stumblesafari)

Boothivikramakesari rushes towards the northern gate of the Fort as he watched an elephant approaching the Fort driven by a Mahout in which were seated two women.Tunein to know more.You can Donate us @ https://www.k2kadhaikalam.com/Follow us on FaceBook :https://www.facebook.com/K2kadhaikalamTwitter : https://twitter.com/K2KadhaikalamInstagram :https://www.instagram.com/k2kadhaikalamtamilaudiobook/?hl=en

Boothivikramakesari rushes towards the northern gate of the Fort as he watched an elephant approaching the Fort driven by a Mahout in which were seated two women.Tunein to know more. You can Donate us @ https://www.k2kadhaikalam.com/ Follow us on FaceBook :https://www.facebook.com/K2kadhaikalam Twitter : https://twitter.com/K2Kadhaikalam Instagram :https://www.instagram.com/k2kadhaikalamtamilaudiobook/?hl=en

As the Elephant throws away the Mahout in the previous chapter, people go helter skelter -Prince Arulmozhi seizes this opportunity to escape to Tanjavur.Tunein to know more. You can Donate us @ https://www.k2kadhaikalam.com/ Follow us on FaceBook :https://www.facebook.com/K2kadhaikalam Twitter : https://twitter.com/K2Kadhaikalam Instagram :https://www.instagram.com/k2kadhaikalamtamilaudiobook/?hl=en

As the Elephant throws away the Mahout in the previous chapter, people go helter skelter -Prince Arulmozhi seizes this opportunity to escape to Tanjavur.Tunein to know more.You can Donate us @ https://www.k2kadhaikalam.com/Follow us on FaceBook :https://www.facebook.com/K2kadhaikalamTwitter : https://twitter.com/K2KadhaikalamInstagram :https://www.instagram.com/k2kadhaikalamtamilaudiobook/?hl=en

Merci de nous avoir rejoints pour ce podcast en compagnie de Matthias DISCH. Quelle est l'utilisation de la mascotte qui vous a le plus marquée ? Est-ce que les mascottes ne sont pas assez utilisées en France ?  Donnez nous votre avis en nous laissant un message vocal sur Anchor : https://anchor.fm/fanstriker Voici les liens des articles dont nous avons parlé durant ce podcast : Le site internet de Matthias : sportbiz.fr L'article sur la place des mascottes dans le sport La vidéo de la mascotte des Chicago Bulls Benny the bull La vidéo de Mahout, la mascotte du Racing 92 Des articles pour aller plus loin: La kids experience, nouvel eldorado de la fan experience Inside Club: L'experience fan au Groupama Stadium avec l'Olympique Lyonnais La place des mascottes dans le sport Des maillots ou des peluches de la mascotte pour les nouveaux nés Pensez à nous suivre sur :  LinkedIn : linkedin.com/company/fanstriker  Facebook : facebook.com/Fanstriker  Instagram : instagram.com/fanstriker  Twitter : twitter.com/fanstriker  Youtube : youtube.com/channel/UCuAef9wmOCHi_wNuEjm2K-Q --- Send in a voice message: https://anchor.fm/fanstriker/message

丽莎老师讲机器人之15个开源人工智能工具欢迎收听丽莎老师讲机器人，想要孩子参加机器人竞赛、创意编程、创客竞赛的辅导，找丽莎老师！欢迎添加微信号：153 5359 2068，或搜索微信公众号：我最爱机器人。越来越强大的人工智能应用，可能会对我们的社会和经济产生深远的积极影响，目前在人工智能研究前沿的开源工具都有哪些？1.CaffeCaffe是一个基于表达体系结构和可扩展代码的深度学习框架。使它声名鹊起的是它的速度。根据其网站所言，它可以在一天之内只用一个NVIDIA K40 GPU处理6000万多个图像。它是由伯克利视野和学习中心（BVLC）管理的，并且由NVIDIA和亚马逊等公司资助来支持它的发展。2.CNTK它是计算机网络工具包（Computational Network Tookit）的缩写，CNTK是一个微软的开源人工智能工具。不论是在单个CPU、单个GPU、多个GPU或是拥有多个GPU的多台机器上它都有优异的表现。微软主要用它做语音识别的研究，但是它在机器翻译、图像识别、图像字幕、文本处理、语言理解和语言建模方面都有着良好的应用。3.Deeplearning4jDeeplearning4j是一个java虚拟机（JVM）的开源深度学习库。它运行在分布式环境并且集成在Hadoop和Apache Spark中。这使它可以配置深度神经网络，并且它与Java、Scala和其他JVM语言兼容。4.DMTKDMTK分布式集齐学习工具（Distributed Machine Learning Toolkit）的缩写，和CNTK一样，是微软的开源人工智能工具。作为设计用于大数据的应用程序，它的目标是更快的训练人工智能系统。它包括三个主要组件：DMTK框架、LightLDA主题模型算法和分布式（多义）字嵌入算法。为了证明它的速度，微软声称在一个八集群的机器上，它能够"用100万个主题和1000万个单词的词汇表（总共10万亿参数）训练一个主题模型，在一个文档中收集1000亿个符号，"。这一成绩是别的工具无法比拟的。5.H20相比起科研，H2O更注重将AI服务于企业用户，因此H2O有着大量的公司客户，比如第一资本金融公司、思科、Nielsen Catalina、PayPal和泛美都是它的用户。它声称任何人都可以利用机器学习和预测分析的力量来解决业务难题。它可以用于预测建模、风险和欺诈分析、保险分析、广告技术、医疗保健和客户情报。它有两种开源版本：标准版H2O和Sparking Water版，它被集成在Apache Spark中。也有付费的企业用户支持。6.Mahout它是Apache基金会项目，Mahout是一个开源机器学习框架。根据它的网站所言，它有着三个主要的特性：一个构建可扩展算法的编程环境、像Spark和H2O一样的预制算法工具和一个叫Samsara的矢量数学实验环境。使用Mahout的公司有Adobe、埃森哲咨询公司、Foursquare、英特尔、领英、Twitter、雅虎和其他许多公司。其网站列了出第三方的专业支持。7.MLlib由于其速度，Apache Spark成为一个最流行的大数据处理工具。MLlib是Spark的可扩展机器学习库。它集成了Hadoop并可以与NumPy和R进行交互操作。它包括了许多机器学习算法如分类、回归、决策树、推荐、集群、主题建模、功能转换、模型评价、ML管道架构、ML持久、生存分析、频繁项集和序列模式挖掘、分布式线性代数和统计。8.NuPICNuPIC是一个基于分层暂时记忆理论的开源人工智能项目。从本质上讲，HTM试图创建一个计算机系统来模仿人类大脑皮层。他们的目标是创造一个"在许多认知任务上接近或者超越人类认知能力"的机器。除了开源许可，还提供NuPic的商业许可协议，并且它还提供技术专利的许可证。9.OpenN作为一个为开发者和科研人员设计的具有高级理解力的人工智能，OpenNN是一个实现神经网络算法的c++编程库。它的关键特性包括深度的架构和快速的性能。其网站上可以查到丰富的文档，包括一个解释了神经网络的基本知识的入门教程10.OpenCycOpenCyc提供了对Cyc知识库的访问和常识推理引擎。它拥有超过239,000个条目，大约2,093,000个三元组和大约69,000 owl：这是一种类似于链接到外部语义库的命名空间。它在富领域模型、语义数据集成、文本理解、特殊领域的专家系统和游戏AI中有着良好的应用。该公司还提供另外两个版本的Cyc：一个可免费的用于科研但是不开源，和一个提供给企业的但是需要付费。11.Oryx 2构建在Apache Spark和Kafka之上的Oryx 2是一个专门针对大规模机器学习的应用程序开发框架。它采用一个独特的三层λ架构。开发者可以使用Orys 2创建新的应用程序，另外它还拥有一些预先构建的应用程序可以用于常见的大数据任务比如协同过滤、分类、回归和聚类。大数据工具供应商Cloudera创造了最初的Oryx 1项目并且一直积极参与持续发展。12.PredictionIOSalesforce利用PredictionIO技术来提升它的机器学习能力时，将同步出现在开源版本中。它可以帮助用户创建带有机器学习功能的预测引擎，这可用于部署能够实时动态查询的Web服务。13.SystemMLSystemML现在是一个Apache大数据项目。它提供了一个高度可伸缩的平台，可以实现高等数学运算，并且它的算法用R或一种类似python的语法写成。企业已经在使用它来跟踪汽车维修客户服务、规划机场交通和连接社会媒体数据与银行客户。它可以在Spark或Hadoop上运行。14.TensorFlowTensorFlow是一个谷歌的开源人工智能工具。它提供了一个使用数据流图进行数值计算的库。它可以运行在多种不同的有着单或多CPU和GPU的系统，甚至可以在移动设备上运行。它拥有深厚的灵活性、真正的可移植性、自动微分功能，并且支持Python和c++。它的网站拥有十分详细的教程列表来帮助开发者和研究人员沉浸于使用或扩展他的功能。15.TorchTorch是一个优先使用GPU的拥有机器学习算法广泛支持的科学计算框架，它的特点是灵活性和速度。此外，它可以很容易的通过软件包用于机器学习、计算机视觉、信号处理、并行处理、图像、视频、音频和网络等方面。它依赖一个叫做LuaJIT的脚本语言，而LuaJIT是基于Lua的。

Tune in LIVE to The Denton Vibe w/ Diva Girl Ellie! Tonight we have local poets, Emily Ramser & Adam Mahout.

欢迎收听丽莎老师讲机器人，想要孩子参加机器人竞赛、创意编程、创客竞赛的辅导，找丽莎老师！欢迎添加微信号：153 5359 2068，或搜索微信公众号：我最爱机器人。丽莎老师讲机器人之最受欢迎的十本人工智能书籍。1. Artificial Intelligence（人工智能）（第二版）作者：Stuart Jonathan Russell, Peter Norvig本书是一本介绍人工智能的指南，涵盖了人工智能的大半部分分支，包括智能代理、问题解决、逻辑代理、机器人等。本书对人工智能的发展历史做了介绍，包括人工智能最初是以“问题-解决”的模式出现的。本书有大量的在线样本代码，并以不同的语言编写。这是一本很棒的CS（计算机科学）书，里面有一些数学知识，但是附录中对这些数学背景进行了全面的补充。2. Neural Networks for Pattern Recognition（模式识别的神经网络）作者：Christopher M. Bishop这是从统计模式识别的角度，对前馈神经网络进行了首次综合整理。在对模式识别的基本概念进行过介绍后，介绍了建模概率密度函数的技术，并讨论了多层感知器和径向基函数网络模型的性能和相对优点。它还激励了对各种形式的错误函数的使用，并回顾了主要的使错误函数最小化的算法，总结了贝叶斯技术及其在神经网络中的广泛应用。3. Design Patterns in Java（Java中的设计模式）作者：Steven John Metsker, William C. Wake本书给你动手实践的机会，使你深刻理解在任何一项Java软件项目中，充分利用设计模式可发挥的重要作用。作为对经典设计模式的完美补充，本书集最新的Java特性和最佳实践于一身。4. Natural Language Processing with Python（使用Python进行自然语言处理）作者：Steven Bird, Ewan Klein, Edward Loper这本书提供了一个很容易理解的自然语言处理介绍，支持多种语言技术，从预测文本和电子邮件过滤到自动摘要和翻译。5. Mahout in Action（Mahout实战）作者：Sean Owen, Robin Anil, Ted Dunning本书通过使用Apache Mahout提供了关于机器学习的信息，包括使用组数据进行个别建议、查找逻辑集群和筛选分类等主题。6. Machine Learning（机器学习）作者：Kevin P. Murphy本书是一本关于机器学习的综合书。本书以一种统一的、概率性的方法，为机器学习领域提供了全面而独立的介绍，适用于具有入门级数学背景的高年级本科生和研究生。7. Lisp（ Lisp语言）（第三版）作者：Patrick Henry Winston, Berthold Horn新版本保留了之前版本的内容，又加入许多人工智能技术先进成果。本书从基本的语言到详细的例子，通过实践介绍Lisp。同时，还介绍了Common Lisp的对象系统，以及面向对象编程支持的提高生产力的技术。并介绍了专家系统、自然语言接口、符号数学等应用实例，以及概率边界处理、项目仿真和可视化对象识别等新应用。7. Practical Common Lisp（实用 Common Lisp）作者：Peter Seibel这是第一本将Common Lisp作为非学术语言介绍的书，提供了对Common Lisp的详细介绍，并提供了对Common Lisp语言特性及其工作原理的全面了解。8. Logical Foundations of Artificial Intelligence（人工智能逻辑基础）作者：Michael R. Genesereth本书从逻辑角度出发，是人工智能学科领域一本清晰、严谨、全面的基础书籍，是高等本科生和研究生的教科书，也是人工智能研究人员和开发人员的关键参考作品。9. Linux Robotics（Linux机器人）作者：D. Jay Newman这本书结合了机器人技术和编程中最复杂的部分，以填补现有信息的空白。如今，大多数机器人书籍都将微控制器作为机器人的“大脑”。这种方法适用于较小的、不太昂贵的项目，但有严重的局限性。当试图制造一个具有复杂动作能力、导航能力、视觉和图像捕捉能力的机器人时，最好使用单板计算机(SBC)，如Linux作为控制器。10.Pattern classification（模式分类）这本书全面地介绍了模式分类的基础理论和应用场景。

This is a story from Jataka tales and features the Bodhisatta (Buddha) in the form of an elephant. The king of Magadh had made him the state elephant, and he was well cared for and decorated. Out of jealousy, the King decided to get the elephant killed by trying to trick the Mahout. Did he succeed? Listen to this story to learn more. You can learn more about this story by visiting gaathastory.com/well-trained-elephant Did you like this story? If so, we would love to hear from you. You can write to us at contact at gaathastory dot com, or leave a review on your favourite podcast app or site. You can subscribe to Baalgatha Podcast on Apple Podcasts, Book My Show Jukebox, Saavn App and now on Google Podcasts. Visit baalgatha.com to learn more. Form there, you can also leave us a review on your favourite podcasting app or site, we will greatly appreciate it!

Tune in to The Denton Vibe with Diva Girl Ellie! Tonight we are talking poetry with Adam Mahout & Tom Farris!

Holden Karau is on the podcast this week to talk all about Spark and Beam, two open source tools that helps process data at scale, with Mark and Melanie. Holden Karau Holden Karau is a transgender Canadian open source developer advocate @ Google with a focus on Apache Spark, BEAM, and related “big data” tools. She is the co-author of Learning Spark, High Performance Spark, and another Spark book that’s a bit more out of date. She is a commiter on and PMC on Apache Spark and committer on SystemML & Mahout projects. She was tricked into the world of big data while trying to improve search and recommendation systems and has long since forgotten her original goal. Cool things of the week Twitter’s collaboration with Google Cloud blog & tweet Kaggle CERN TrackML Particle Tracking Challenge Competition site Open-sourcing gVisor, a sandboxed container runtime blog & repo Announcing Stackdriver Kubernetes Monitoring blog MLPerf: collaborative effort to standardize ML benchmarks site Interview Spark site & community site Beam site Cloud Dataflow site & docs Cloud Dataproc site & docs Using Spark on Kubernetes Engine blog Testing future Apache Spark releases and changes on Google Kubernetes Engine and Cloud Dataproc blog Spark Packages site Spark testing base repo Flink site Arrow site Upcoming Talks: PyCon 2018 & Debugging PySpark talk Scala Days & Keeping the “fun” in Spark talk Strata London & Understanding Spark tuning with auto-tuning talk J on the Beach & General Purpose Big Data Systems are eating the world talk Spark Summit 2018 & Accelerating TF with Apache Arrow on Spark talk Question of the week I have a continuous integration build process setup with Container Builder, but it’s all sequential. I want to speed things up by processing parts of it in parallel. How do I do that? Configure Build Step Order docs Where can you find us next? Mark can be found streaming Agones development on Twitch. Melanie is speaking at the internet2 Global Summit, May 9th in San Diego, and will also be talking at the Understand Risk Forum on May 17th, in Mexico City. Special shout out: Google I/O and PyCon are both happening this week

Lecture by Swami Tyagananda, given on November 12, 2017, at the Ramakrishna Vedanta Society, Boston, MA.

Dr. Manjeet Rege and Dan Yarmoluk speak with Sean Owen, Director of Data Science of Cloudera. Before Cloudera, Sean founded Myrrix Ltd (now, the Oryx project) to commercialize large-scale real-time recommender systems on Apache Hadoop. He is an Apache Spark Committer and co-authored Advanced Analytics on Spark. He was a Committer and VP for Apache Mahout, and co-author of Mahout in Action. Previously, Sean was a senior engineer at Google. The conversation moves from Cloudera solutions, data science skills, Altus as how to harness Big Data in the ever-changing landscape of technology.

Una band, i Mahout, un live set che ha visto i nostri studi trasformarsi in un vero palco su cui la band pinerolese ha dato il meglio di sé raccontandosi nel modo migliore, con la propria musica.Rivivi e scarica il podcast di questa puntata andata in onda in diretta lo scorso 1 febbraio 2017.

Una band, i Mahout, un live set che ha visto i nostri studi trasformarsi in un vero palco su cui la band pinerolese ha dato il meglio di sé raccontandosi nel modo migliore, con la propria musica.Rivivi e scarica il podcast di questa puntata andata in onda in diretta lo scorso 1 febbraio 2017.

Willie Scott relieves Indiana Jones with a toss of a snake, and the group continues its trek to Pankot Palace. They might lose a mahout on the way, but Hal Lublin and Mark Gagliardi from We Got This! are happy to take his place.

Austin’s Hardproof is extra special to us at Team This Song. Their song “Mahout” begins and ends every episode of our podcast so we consider them part of the family. They have just released their new record “Stinger” on Modern Outsider Records and when they came to KUTX to talk with Elizabeth about it, band members […]

Austin’s Hardproof is extra special to us at Team This Song. Their song “Mahout” begins and ends every episode of our podcast so we consider them part of the family. They have just released their new record “Stinger” on Modern Outsider Records and when they came to KUTX to talk with Elizabeth about it, band members […]

Neste episódio do DatabaseCast Mauro Pichilian (@pichiliani) ), Wagner Crivelini (@wcrivelini) e o convidado Felipe Gasparini (felipe.gasparini@movile.com) trocam receitas de sopas e miojo que levam o ingrediente Hadoop. Neste episódio você vai aprender é o Hadoop, HFS, Map/Reduce, Yarm, Pig, Hive, Spark, HBase, Zookeper, Mahout, RedShift, Storm e outros softwares que compõe o ecossistema do Hadoop. Mas não se esqueça de distribuir seus dados, se preocupar com o link e com as falhas da nuvem. LANÇAMENTO: Livro do banco de dados MongoDB escrito pelo Mauro Pichiliani! Veja este livro na Amazon e no Clube de Autores pelos links abaixo: https://www.amazon.com.br/dp/B01L4PERBC https://www.clubedeautores.com.br/book/216555--Introducao_ao_MongoDB Segunda turma do curso presencial de machine learning com Python ministrado pelo Mauro Pichiliani! Veja no link abaixo mais detalhes sobre o curso presencial de introdução ao machine learning ministrado pelo nosso co-produtor Mauro Pichiliani. Façam logo sua inscrições, pois as vagas são limitadas e estão para acabar! http://getitup.com.br/treinamentos/2a-turma-introducao-ao-machine-learning-com-python/ Acessem o canal do DatabaseCast no YouTube: https://www.youtube.com/channel/UC8EUZ3gYTxJi-gr4azFJGYA Confiram o preço promocional da camiseta do DatabaseCast Fluxo Matrix com tecido especial (tipo tradicional econômico) http://www.zazzle.com.br/camiseta_fluxo_matrix_t_shirt-235338811658509024 Vejam a caneca Datas SQL com a sintaxe para manipulação de datas no Oracle, SQL Server, Mysql e PostgreSQL. http://www.zazzle.com.br/caneca_datassql_branca_325ml-168900583784663517 Confiram o livro "Conversando sobre banco de dados" em: http://www.amazon.com.br/Conversando-sobre-Banco-Dados-publicados-ebook/dp/B00JV3B7VI/ e http://clubedeautores.com.br/book/126042--Conversando_sobre_banco_de_dados Confiram as camisetas com estampas fractais do DatabaseCast: http://www.zazzle.com.br/databasecast Não deixe de nos incentivar digitando o seu comentário no final deste artigo, mandando e-mail para databasecast@gmail.com, seguindo o nosso twitter @databasecast, vendo informações de bastidores no nosso Tumblr e curtindo a nossa página no Facebook e no Google+.

Neste episódio do DatabaseCast Mauro Pichilian (@pichiliani) ), Wagner Crivelini (@wcrivelini) e o convidado Felipe Gasparini (felipe.gasparini@movile.com) trocam receitas de sopas e miojo que levam o ingrediente Hadoop. Neste episódio você vai aprender é o Hadoop, HFS, Map/Reduce, Yarm, Pig, Hive, Spark, HBase, Zookeper, Mahout, RedShift, Storm e outros softwares que compõe o ecossistema do Hadoop. Mas não se esqueça de distribuir seus dados, se preocupar com o link e com as falhas da nuvem. LANÇAMENTO: Livro do banco de dados MongoDB escrito pelo Mauro Pichiliani! Veja este livro na Amazon e no Clube de Autores pelos links abaixo: https://www.amazon.com.br/dp/B01L4PERBC https://www.clubedeautores.com.br/book/216555--Introducao_ao_MongoDB Segunda turma do curso presencial de machine learning com Python ministrado pelo Mauro Pichiliani! Veja no link abaixo mais detalhes sobre o curso presencial de introdução ao machine learning ministrado pelo nosso co-produtor Mauro Pichiliani. Façam logo sua inscrições, pois as vagas são limitadas e estão para acabar! http://getitup.com.br/treinamentos/2a-turma-introducao-ao-machine-learning-com-python/ Acessem o canal do DatabaseCast no YouTube: https://www.youtube.com/channel/UC8EUZ3gYTxJi-gr4azFJGYA Confiram o preço promocional da camiseta do DatabaseCast Fluxo Matrix com tecido especial (tipo tradicional econômico) http://www.zazzle.com.br/camiseta_fluxo_matrix_t_shirt-235338811658509024 Vejam a caneca Datas SQL com a sintaxe para manipulação de datas no Oracle, SQL Server, Mysql e PostgreSQL. http://www.zazzle.com.br/caneca_datassql_branca_325ml-168900583784663517 Confiram o livro "Conversando sobre banco de dados" em: http://www.amazon.com.br/Conversando-sobre-Banco-Dados-publicados-ebook/dp/B00JV3B7VI/ e http://clubedeautores.com.br/book/126042--Conversando_sobre_banco_de_dados Confiram as camisetas com estampas fractais do DatabaseCast: http://www.zazzle.com.br/databasecast Não deixe de nos incentivar digitando o seu comentário no final deste artigo, mandando e-mail para databasecast@gmail.com, seguindo o nosso twitter @databasecast, vendo informações de bastidores no nosso Tumblr e curtindo a nossa página no Facebook e no Google+.

Recording Venue: Skype Guest: Grant Ingersoll Grant Ingersoll, founder of the Mahout project, talks with Robert about machine learning.   The conversation begins with an introduction to machine learning and the forces driving the adoption of this technique. Grant explains the three main use cases, similarity metrics, supervised versus unsupervised learning, and the use of large data […]

John and Scott are back after breaking for the rush of IOD 2011. Today they highlight new developerWorks content on project risk mitigation, the Virtual IO server command line interface, Apache Mahout, balancing openness and privacy, mobile text messaging in web apps, managing change in mainframe applications, and creating interactive maps with HTML5 microdata and jQuery.