Cloudera - Revision history

BPeat: Text replacement - "http:" to "https:"

2023-03-28T09:34:19Z

Text replacement - "http:" to "https:"

BPeat at 01:12, 28 October 2019

2019-10-28T01:12:02Z

BPeat: BPeat moved page Cloudera Oryx to Cloudera without leaving a redirect

2019-10-28T01:08:02Z

BPeat moved page Cloudera Oryx to Cloudera without leaving a redirect

BPeat at 01:06, 28 October 2019

2019-10-28T01:06:12Z

BPeat at 01:03, 28 October 2019

2019-10-28T01:03:31Z

BPeat at 01:02, 23 February 2019

2019-02-23T01:02:25Z

BPeat at 00:55, 23 February 2019

2019-02-23T00:55:40Z

BPeat: Created page with "{{#seo: |title=PRIMO.ai |titlemode=append |keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, M..."

2019-02-23T00:28:00Z

Created page with "{{#seo: |title=PRIMO.ai |titlemode=append |keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, M..."

New page

{{#seo:
|title=PRIMO.ai
|titlemode=append
|keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS
|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
}}
[http://www.youtube.com/results?search_query=caffe2+caffe+artificial+intelligence+deep+learning Youtube search...]
[http://www.google.com/search?q=caffe2+caffe+deep+machine+learning+ML+artificial+intelligence ...Google search]

* [[Libraries & Frameworks]]

<youtube>rvMVqPsXL10</youtube>

@@ Line 5: / Line 5: @@
 |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
 }}
-[http://www.youtube.com/results?search_query=Cloudera+Oryx+artificial+intelligence+deep+learning Youtube search...]
+[https://www.youtube.com/results?search_query=Cloudera+Oryx+artificial+intelligence+deep+learning Youtube search...]
-[http://www.google.com/search?q=Cloudera+Oryx+deep+machine+learning+ML+artificial+intelligence ...Google search]
+[https://www.google.com/search?q=Cloudera+Oryx+deep+machine+learning+ML+artificial+intelligence ...Google search]
 * [[Libraries & Frameworks]]
-* [http://github.com/cloudera/oryx Oryx | GitHub]
+* [https://github.com/cloudera/oryx Oryx | GitHub]
-* [http://www.infoworld.com/article/2607749/hadoop/how-cloudera-plans-to-stand-out-from-the-hadoop-herd.html How Cloudera plans to stand out from the Hadoop herd | Serdar Yegulalp]
+* [https://www.infoworld.com/article/2607749/hadoop/how-cloudera-plans-to-stand-out-from-the-hadoop-herd.html How Cloudera plans to stand out from the Hadoop herd | Serdar Yegulalp]
-uses [http://spark.apache.org/ Spark] and the [http://www.learningjournal.guru/article/kafka/kafka-enterprise-architecture/ Kafka] stream processing framework to run machine learning models on real-time data. Oryx provides a way to build projects that require decisions in the moment, like recommendation engines or live anomaly detection, that are informed by both new and historical data.
+uses [https://spark.apache.org/ Spark] and the [https://www.learningjournal.guru/article/kafka/kafka-enterprise-architecture/ Kafka] stream processing framework to run machine learning models on real-time data. Oryx provides a way to build projects that require decisions in the moment, like recommendation engines or live anomaly detection, that are informed by both new and historical data.
 <youtube>F8YVRzCdxcw</youtube>
 <youtube>CoNX_mbFLZc</youtube>

← Older revision		Revision as of 01:12, 28 October 2019
Line 15:		Line 15:

	<youtube>F8YVRzCdxcw</youtube>		<youtube>F8YVRzCdxcw</youtube>
		+	<youtube>CoNX_mbFLZc</youtube>

@@ Line 12: / Line 12: @@
 * [http://www.infoworld.com/article/2607749/hadoop/how-cloudera-plans-to-stand-out-from-the-hadoop-herd.html How Cloudera plans to stand out from the Hadoop herd | Serdar Yegulalp]
-uses Spark and the [http://www.learningjournal.guru/article/kafka/kafka-enterprise-architecture/ Kafka] stream processing framework to run machine learning models on real-time data. Oryx provides a way to build projects that require decisions in the moment, like recommendation engines or live anomaly detection, that are informed by both new and historical data.
+uses [http://spark.apache.org/ Spark] and the [http://www.learningjournal.guru/article/kafka/kafka-enterprise-architecture/ Kafka] stream processing framework to run machine learning models on real-time data. Oryx provides a way to build projects that require decisions in the moment, like recommendation engines or live anomaly detection, that are informed by both new and historical data.
 <youtube>F8YVRzCdxcw</youtube>

@@ Line 12: / Line 12: @@
 * [http://www.infoworld.com/article/2607749/hadoop/how-cloudera-plans-to-stand-out-from-the-hadoop-herd.html How Cloudera plans to stand out from the Hadoop herd | Serdar Yegulalp]
-uses Spark and the Kafka stream processing framework to run machine learning models on real-time data. Oryx provides a way to build projects that require decisions in the moment, like recommendation engines or live anomaly detection, that are informed by both new and historical data.
+uses Spark and the [http://www.learningjournal.guru/article/kafka/kafka-enterprise-architecture/ Kafka] stream processing framework to run machine learning models on real-time data. Oryx provides a way to build projects that require decisions in the moment, like recommendation engines or live anomaly detection, that are informed by both new and historical data.
 <youtube>F8YVRzCdxcw</youtube>

← Older revision		Revision as of 00:55, 23 February 2019
Line 9:		Line 9:

	* [[Libraries & Frameworks]]		* [[Libraries & Frameworks]]
		+	* [http://github.com/cloudera/oryx Oryx \| GitHub]
		+	* [http://www.infoworld.com/article/2607749/hadoop/how-cloudera-plans-to-stand-out-from-the-hadoop-herd.html How Cloudera plans to stand out from the Hadoop herd \| Serdar Yegulalp]

−	<youtube>~~rvMVqPsXL10~~</youtube>	+	uses Spark and the Kafka stream processing framework to run machine learning models on real-time data. Oryx provides a way to build projects that require decisions in the moment, like recommendation engines or live anomaly detection, that are informed by both new and historical data.
		+
		+	<youtube>F8YVRzCdxcw</youtube>

← Older revision	Revision as of 01:08, 28 October 2019
(No difference)