Machine Learning

Machine learning is an artificial intelligence (AI) discipline geared toward the technological development of human knowledge. Machine learning allows computers to handle new situations via analysis, self-training, observation and experience.

Machine learning facilitates the continuous advancement of computing through exposure to new scenarios, testing and adaptation, while employing pattern and trend detection for improved decisions in subsequent (though not identical) situations.

The process of machine learning is similar to that of data mining. Both systems search through data to look for patterns. However, instead of extracting data for human comprehension -- as is the case in data mining applications -- machine learning uses that data to detect patterns in data and adjust program actions accordingly. Machine learning algorithms are often categorized as being supervised or unsupervized. Supervised algorithms can apply what has been learned in the past to new data. Unsupervised algorithms can draw inferences from datasets.

What is Machine Learning?
https://www.youtube.com/watch?v=WXHM_i-fgGo

A Friendly Introduction to Machine Learning
https://www.youtube.com/watch?v=IpGxLWOIZy4

Architecting Predictive Algorithms for Machine Learning
https://www.youtube.com/watch?v=KoQdAdxjnoU

visual introduction to machine learning
http://www.r2d3.us/visual-intro-to-machine-learning-part-1/

Data Science and Machine Learning: Discovery Tools for Any Domain - Jeremy Howard
https://www.youtube.com/watch?v=SwVGZED31lc

Amazon Machine Learning - Final Project
https://www.youtube.com/watch?v=E3uscMiC87A

Introduction to Data Analysis using Machine Learning
https://www.youtube.com/watch?v=U4IYsLgNgoY

Machine Learning with Knowledge Graphs
https://pdfs.semanticscholar.org/6c2b/f820e5d721a98defb73f56bd43c831495e6d.pdf

On Semantic Web, Machine Learning and feature representation of entities in Knowledge Graphs
http://eis.iai.uni-bonn.de/blog/2016/04/on-semantic-web-machine-learning-and-feature-representation-of-entities-in-knowledge-graphs/

How machine learning & artificial intelligence are changing our future
https://www.youtube.com/watch?v=zpMAsTgpt9w

Panel Discussion: Applications of Machine Learning
https://www.youtube.com/watch?v=9B0N8pzuSyo

Better Medicine Through Machine Learning | Suchi Saria | TEDxBoston
https://www.youtube.com/watch?v=Nj2YSLPn6OY

Sundar Pichai: How machine learning & deep learning improved technologies-Best speech by Google CEO
https://www.youtube.com/watch?v=HOeA5NRPO9s

10 Machine Learning based Products You MUST See
https://www.youtube.com/watch?v=dcZvhP-IqY4

Products:

Skytree Machine Learning Software
http://www.skytree.net/products/

Tools:

Pepite
http://franz.com/ps/pepito/

Machine learning APIs and frameworks: 14 machine learning tools for data scientists and developers.

IBM watson Analytics
https://www.ibm.com/analytics/watson-analytics/us-en/

Google TensorFlow
https://www.tensorflow.org/

Microsoft Distributed Machine Learning Toolkit(DMLT)
https://www.dmtk.io/

BigML
https://bigml.com/ml101/

Apache Spark MLib and Singa
https://spark.apache.org/docs/1.2.1/mllib-guide.html

Veles
https://velesnet.ml/

Alibaba's Aliyun
http://venturebeat.com/2015/08/24/alibabas-aliyun-cloud-launches-dt-pai-an-artificial-intelligence-service/

Caffe
http://caffe.berkeleyvision.org/

Neon
https://www.nervanasys.com/technology/neon/

Wise.io
http://www.wise.io/learn

Amazon's Deep Scalable Sparse Tensor Network Engine(DSSTNE)
https://www.youtube.com/watch?v=TjaIKijl-IY

Amazon Web Services Macine Learning API
https://aws.amazon.com/machine-learning/

Google APIs
https://cloud.google.com/products/machine-learning/

Microsoft Computational Network Toolkit(CNTK)
http://blogs.microsoft.com/next/2016/01/25/microsoft-releases-cntk-its-open-source-deep-learning-toolkit-on-github/#sm.0000184ntdpd19dupzdydywetsgh4