The Simple AI Algorithm Library from Stuart Russel and Peter Norvig implements many of the algorithms described in their book "Artificial Intelligence, a Modern Approach".
Implementation includes:
This morning at Spark Summit Europe 2016, Ion Stoica announced during his keynote the Drizzle project, which promises to reduce streaming data latency in Spark to be less than Flink and Storm. Ion announced this in the context of the new RISE Lab at UC Berkeley.
TextBlob is a Python library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more.
Features
Most of the time the website using WordPress are having a particular pattern in their code section.
If someone wants to whether there is a website using WordPress or not, they just need to look for source code.
Here is the process need to be applied:
1) Open the website url in your browser.
2) Press Ctrl + U, you will see the code editor. Even the firefox users can use Firebug and inspect the code.
3) Search for the pattern -- /wp-content/ or /wp-theme/ or simply theme or WordPress.
It's a Monday morning; you're in your cubicle with a cup of strong coffee. An email notification breaks the silence. You have a new message: "Hey handsome, this is Ms. BigData, a free spirit, live on this vibrant planet, would you marry me and would you like to have Modbies (Models) with me?" You may feel overwhelmed by the words, feel both flattered and at the same time uncertain. It's Monday, and you've not yet hit your stride.
Is your Data Science skillset up to date? What are some core Data Science skills that will make you stand out if you are looking for a job? Even more important, what skills will help make your job as a Data Scientist easier and more productive?
For years now, companies have been hiding behind the moniker "machine learning" as a way to avoid the stigma associated (or associated in the past from the AI winters) with "artificial intelligence". Well, no more. This week Google announced Google Neural Machine Translation (GNMT) that gets close to human performance.
Cloud giants like Amazon, Google, Azure and IBM have rushed into the big data analytics cloud market. They claim their tools will make developer tasks simple. For machine learning, they say their cloud products will free data scientists and developers from implementation details so they can focus on business logic.
