Deep Learning: Definition, Resources, Comparison with Machine Learning

#DeepLearning: Definition, Resources, Comparison with #MachineLearning #abdsc

  • It is about designing algorithms that can make robots intelligent, such a face recognition techniques used in drones to detect and target terrorists, or pattern recognition / computer vision algorithms to automatically pilot a plane, a train, a boat or a car.
  • Many deep learning algorithms (clustering, pattern recognition, automated bidding, recommendation engine, and so on)  — even though they appear in new contexts such as IoT or machine to machine communication — still rely on relatively old-fashioned techniques such as logistic regression, SVM, decision trees, K-NN, naive Bayes, Bayesian modeling, ensembles, random forests, signal processing, filtering, graph theory, gaming theory, and many others.
  • Some are new, such as indexation algorithms to automate digital publishing, improve search engines, or create and manage large catalogs such as Amazon’s product listing.
  • Example of deep learning algorithms for clustering

    As a result, many deep learning practitioners call themselves data scientist, computer scientist, statistician, or sometimes engineer.

  • Below are some resources to help you get started with deep learning: articles on this topic started to appear in large numbers around 2015, though many date back to before 1990.

Deep learning is sometimes referred to as the intersection between machine learning and artificial intelligence. It is about designing algorithms that can make…
Continue reading “Deep Learning: Definition, Resources, Comparison with Machine Learning”

Deep Learning: Definition, Resources, Comparison with Machine Learning

#DeepLearning: Definition, Resources, Comparison with Machine Learning

  • Many deep learning practitioners call themselves data scientist, computer scientist, statistician, or sometimes engineer.
  • Deep learning is sometimes referred to as the intersection between machine learning and artificial intelligence.
  • In my opinion, deep learning also tries to automate some data science processes.
  • Deep learning simplified (video)
  • An Introduction to Deep Learning and it’s role for IoT/ future cities

Deep learning is sometimes referred to as the intersection between machine learning and artificial intelligence. It is about designing algorithms that can make…
Continue reading “Deep Learning: Definition, Resources, Comparison with Machine Learning”

Deep Learning: Definition, Resources, Comparison with Machine Learning

#DeepLearning: Definition, Resources, Comparison with #MachineLearning  | by @DataScienceCtrl

  • Many deep learning practitioners call themselves data scientist, computer scientist, statistician, or sometimes engineer.
  • Deep learning is sometimes referred to as the intersection between machine learning and artificial intelligence.
  • Deep learning simplified (video)
  • In my opinion, deep learning also tries to automate some data science processes.
  • An Introduction to Deep Learning and it’s role for IoT/ future cities

Deep learning is sometimes referred to as the intersection between machine learning and artificial intelligence. It is about designing algorithms that can make…
Continue reading “Deep Learning: Definition, Resources, Comparison with Machine Learning”

Top 10 Machine Learning Algorithms

Top 10 [or Top 55] #MachineLearning Algorithms:  #abdsc #BigData #DataScience #DataMining

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  • In 2006 , the IEEE Conference on Data Mining identified the top 10 ML algorithms as
  • Added by Tim Matteson 0 Comments 0 Likes
  • The algorithms are described in the article What you wont learn in statistics classes .
  • Algorithms from graph theory (to find the shortest path in a graph, or to detect connected components), from operations research (the simplex, to optimize the supply chain), or from time series, are not listed either.

Read the full article, click here.


@KirkDBorne: “Top 10 [or Top 55] #MachineLearning Algorithms: #abdsc #BigData #DataScience #DataMining”


This was the subject of a question asked on Quora: What are the top 10 data mining or machine learning algorithms?
Some modern algorithms such as collaborative…


Top 10 Machine Learning Algorithms

Deep Learning: Definition, Resources, Comparison with Machine Learning

#DeepLearning: Definition, Resources, Comparison with #MachineLearning  by @DataScienceCtrl

  • Many deep learning practitioners call themselves data scientist, computer scientist, statistician, or sometimes engineer.
  • Deep learning is sometimes referred to as the intersection between machine learning and artificial intelligence.
  • Deep learning simplified (video)
  • In my opinion, deep learning also tries to automate some data science processes.
  • An Introduction to Deep Learning and it’s role for IoT/ future cities

Read the full article, click here.


@robertoglezcano: “#DeepLearning: Definition, Resources, Comparison with #MachineLearning by @DataScienceCtrl”


Deep learning is sometimes referred to as the intersection between machine learning and artificial intelligence. It is about designing algorithms that can make…


Deep Learning: Definition, Resources, Comparison with Machine Learning

Deep Learning: Definition, Resources, Comparison with Machine Learning

#DeepLearning: Definition, Resources, Comparison with #MachineLearning  | by @DataScienceCtrl

  • Many deep learning practitioners call themselves data scientist, computer scientist, statistician, or sometimes engineer.
  • Deep learning is sometimes referred to as the intersection between machine learning and artificial intelligence.
  • Deep learning simplified (video)
  • In my opinion, deep learning also tries to automate some data science processes.
  • An Introduction to Deep Learning and it’s role for IoT/ future cities

Read the full article, click here.


@dataiku: “#DeepLearning: Definition, Resources, Comparison with #MachineLearning | by @DataScienceCtrl”


Deep learning is sometimes referred to as the intersection between machine learning and artificial intelligence. It is about designing algorithms that can make…


Deep Learning: Definition, Resources, Comparison with Machine Learning

Deep Learning: Definition, Resources, Comparison with Machine Learning – Data Science Central

#DeepLearning: Definition, Resources, Comparison with #machinelearning by @DataScienceCtrl

  • Many deep learning practitioners call themselves data scientist, computer scientist, statistician, or sometimes engineer.
  • Deep learning is sometimes referred to as the intersection between machine learning and artificial intelligence.
  • In my opinion, deep learning also tries to automate some data science processes.
  • Deep learning simplified (video)
  • An Introduction to Deep Learning and it’s role for IoT/ future cities

Read the full article, click here.


@robertoglezcano: “#DeepLearning: Definition, Resources, Comparison with #machinelearning by @DataScienceCtrl”


Deep learning is sometimes referred to as the intersection between machine learning and artificial intelligence. It is about designing algorithms that can make robots intelligent, such a face recognition techniques used in drones to detect and target terrorists, or pattern recognition / computer vision algorithms to automatically pilot a plane, a train, a boat or a car.


Deep Learning: Definition, Resources, Comparison with Machine Learning – Data Science Central