Bellot Learning Probabilistic

Learning Probabilistic Graphical Models in R  eBooks & eLearning

Posted by Grev27 at May 14, 2016
Learning Probabilistic Graphical Models in R

David Bellot, "Learning Probabilistic Graphical Models in R"
English | ISBN: 1784392057 | 2016 | PDF/EPUB/MOBI | 250 pages | 4 MB/7 MB/11 MB

Neural Networks and Statistical Learning [Repost]  eBooks & eLearning

Posted by ChrisRedfield at June 5, 2014
Neural Networks and Statistical Learning [Repost]

Ke-Lin Du, ‎M. N. S. Swamy - Neural Networks and Statistical Learning
Published: 2013-12-27 | ISBN: 144715570X | PDF | 824 pages | 13 MB

Neural Networks and Statistical Learning  eBooks & eLearning

Posted by nebulae at Jan. 18, 2014
Neural Networks and Statistical Learning

Ke-Lin Du, M. N. S. Swamy, "Neural Networks and Statistical Learning"
English | ISBN: 144715570X | 2014 | 850 pages | PDF | 13 MB

Building Probabilistic Graphical Models with Python (Repost)  eBooks & eLearning

Posted by naag at March 8, 2017
Building Probabilistic Graphical Models with Python (Repost)

Kiran R Karkera, "Building Probabilistic Graphical Models with Python"
English | 2014 | ISBN: 1783289007 | PDF | pages: 173 | 8.3 mb

Solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications

Stanford University - Introduction to Artificial Intelligence [repost]  eBooks & eLearning

Posted by ParRus at Nov. 5, 2016
Stanford University - Introduction to Artificial Intelligence [repost]

Stanford University - Introduction to Artificial Intelligence
WEBRip | English | MP4 + PDF Guide | 640 x 360 | AVC ~250 kbps | 30 fps
AAC | 123 Kbps | 44.1 KHz | 2 channels | ~24 hours | 4.42 GB
Genre: eLearning Video / Science, Cybernetics, Probability

Online Introduction to Artificial Intelligence is based on Stanford CS221, Introduction to Artificial Intelligence. This class introduces students to the basics of Artificial Intelligence, which includes machine learning, probabilistic reasoning, robotics, and natural language processing. The objective of this class is to teach you modern AI. You learn about the basic techniques and tricks of the trade, at the same level we teach our Stanford students. We also aspire to excite you about the field of AI. Whether you are a seasoned professional, a college student, or a curious high school student - everyone can participate.
Measurement and Probability: A Probabilistic Theory of Measurement with Applications (repost)

Giovanni Battista Rossi, "Measurement and Probability: A Probabilistic Theory of Measurement with Applications"
2014 | 302 pages | ISBN: 9401788243 | PDF | 6 MB

Learning Path: Getting Started with Kudu  eBooks & eLearning

Posted by FenixN at April 4, 2017
Learning Path: Getting Started with Kudu

Learning Path: Getting Started with Kudu
HDRips | MP4/AVC, ~852 kb/s | 1280x720 | Duration: 02:30:58 | English: AAC, 128 kb/s (2 ch) | 892 MB
Genre: Development / Programming

If you're building relational, time series, IoT, or real-time architectures using Hadoop, you should be familiar with Apache Kudu. Kudu enables fast analytics on fast data by completing Hadoop’s storage layers, providing a new option to achieve fast scans and fast random access from a single API. This Learning Path introduces you to Apache Kudu, exploring what it is, when to use it, and how to use it in conjunction with popular Hadoop ecosystem tools. You’ll apply this knowledge by building and running a real-time analytical application using Kudu, Impala, Kafka, and Spark.

Learning Path: SQL Commands, Joins, and Views  eBooks & eLearning

Posted by FenixN at April 4, 2017
Learning Path: SQL Commands, Joins, and Views

Learning Path: SQL Commands, Joins, and Views
HDRips | MP4/AVC, ~270 kb/s | 1280x720 | Duration: 01:30:00 | English: AAC, 128 kb/s (2 ch) | 322 MB
Genre: Development / Programming

If you need to understand how to query relational databases, this Learning Path will get you up and running quickly. Commands, joins, and views are the most fundamental elements of SQL (Structured Query Language) and with them you can make powerful insights into your data. In the just an hour and a half, you will learn how to use SQL to manage data that is held in relational databases. This Learning Path is designed for beginners who have no previous experience with SQL of any kind. Working files are included, allowing you to follow along with the instructor.

Learning Path: Developing a Modern Enterprise Data Strategy  eBooks & eLearning

Posted by FenixN at April 4, 2017
Learning Path: Developing a Modern Enterprise Data Strategy

Learning Path: Developing a Modern Enterprise Data Strategy
HDRips | MP4/AVC, ~2219 kb/s | 1920x1080 | Duration: 02:26:39 | English: AAC, 128 kb/s (2 ch) | 2,18 GB
Genre: Business

If you want to develop a modern enterprise data strategy in your organization this learning path is for you. In this series of videos, the team at Silicon Valley Data Science will explain how you can solve real business challenges with data. From determining the business imperatives that underpin the goals, to defining the roadmap that leads to tactical decision-making, they’ll walk you through the complete process for creating a data strategy that will help your company experiment in such a way that you fail well, create value quickly, and become innovative and data-driven.

Learning Path: Mastering SpaCy for Natural Language Processing  eBooks & eLearning

Posted by FenixN at April 4, 2017
Learning Path: Mastering SpaCy for Natural Language Processing

Learning Path: Mastering SpaCy for Natural Language Processing
HDRips | MP4/AVC, ~410 kb/s | 1280x720 | Duration: 01:27:50 | English: AAC, 128 kb/s (2 ch) | 312 MB
Genre: Development / Programming

SpaCy, a fast, user-friendly library for teaching computers to understand text, simplifies NLP techniques, such as speech tagging and syntactic dependencies, so you can easily extract information, attributes, and objects from massive amounts of text to then document, measure, and analyze. This Learning Path is a hands-on introduction to using SpaCy to discover insights through natural language processing. While end-to-end natural language processing solutions can be complex, you’ll learn the linguistics, algorithms, and machine learning skills to get the job done.