Machine Learning & Deep Learning

Brain to computer ??? or Computer to brain???- a big dilemma, right? Let’s have a look at what it is !

Artificial Intelligence
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What is Machine Learning?

Considered a “character of Artificial Intelligence”, vision transfer takes place from human intelligence to computer intelligence, which in turn helps human to make their life easy by automation.
In simpler words, machine learning is recently trending research field of exploring computer intelligence that empowers them with ability to continuously adapt to different environments and spit out a meaningful conclusion.Based on the learning platform, it can be split into two domains- supervised or unsupervised.
Supervised learning can be implemented when data must be processed based on the results of the pre-data, while unsupervised learning can be implemented when data needs to be interpreted without any prior understanding.

MACHINE LEARNING

  • Biased towards statistical modeling.
  • Data should be assumption based.
  • Results based on strongly validated process.
  • Moreover, iterative approach that helps clear out the stand easily.
  • Used for robust pattern detection.

DEEP LEARNING

  • Concepts based on neural networks.
  • Identifies complicated patterns.
  • Used more for image and text detection.
  • Can perform complicated tasks such as medical diagnosis.
  • Automatic language translation.

Algorithms

Speaking in terms of algorithms, this platform utilizes plethora of algorithms, right from Bayesian Statistics, Regression Analysis, Dimensionality reduction and Clustering methods.

  • Convolution neural networks(CNN)
  • Recursive neural networks(RNN)
  • Hidden Markov Model(HMM)
  • DotNetNuke(DNN)
  • Natural Language Processing(NLP)
  • Genetic Algorithm
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OUR EXPERTISE

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Fashion image feature extraction

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E-commerce product recommendation

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Finance data prediction and analysis

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Assets management prediction

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Energy conception forecasting

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Image classification

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Text classification

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Semantic analysis

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Health care disease prediction

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Trend analysis

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Pattern forecasting

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Speech recognition

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Face detection

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Recommendation system

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Statistical analysis

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