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What is ML and DL?

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Machine Learning and Deep Learning Solutions

Sophisticated and large-scale models that combine neural networking and diverse computing

What is Machine Learning and Deep Learning?

Machine learning is a branch of Artificial Intelligence (AI) which enables software applications to solves problems that are unstructured in nature. Built on algorithms which can receive input data and use statistical analysis, machine learning solutions allows systems to access data and adapt through experience. This new breed of software automates machine learning predictive analytics model building and is often categorized as both supervised and unsupervised. Deep learning is a sub division of machine learning solutions with algorithms that mimic the functions of the brain and essentially how it works. It is based on the neural network technique and configuration which involves the number of layers, layer size, biases, activation functions, connectivity and learning algorithm which further branch into various models. Considered more effective than any other predictive modeling technique, deep and machine learning solutions enables various applications from data encoding, classification, prediction, identification, etc. Algorithms of deep learning solutions seeks to discover accurate representations to exploit unknown structures in the input distribution at multiple levels. Learning under DL can be supervised, partially supervised as well as unsupervised.

Mainstream Deep & Machine Learning Solutions and how it can help Businesses

Over the past decade DL is used as a service that can help solve enterprise level business challenges. From Google’s predictive search to Facebook’s automatic photo tagging to face and speech recognition on Smartphones, machine translation, business intelligence, medical diagnosis, network security and Internet of Things – the use of Deep and Machine Learning as a service has taken quantum leaps to transform the world we live in today.

The concept of neural networking dates back to the 1950s but the real breakthroughs came in the 2000s. Today computer scientists have been able to successfully harness its vast power by leveraging enormous data as more and more firms start offering equity funding for AI-focused startups. Deep learning was introduced publicly in 2011 when Microsoft officially introduced DL into its commercial products with speech recognition and Google followed suit in August 2012.

Applications and Functions enabled by Deep & Machine Learning Services

Image recognition kick started as Google, Facebook and Baidu each signed up with deep learning solutions. In 2012, Google Brain published the project famously known as the ‘cat experiment’ which explored ‘unsupervised learning’. Researchers exposed a vast neural net spread across 10 million unlabeled random images. Now, image recognition has extended far beyond social apps, medical companies are on their way to accurately read CT scans, MRIs and X-rays while accelerating search for life saving pharmaceuticals.

Today, users are increasingly interacting with their computers by talking to them through Apple’s Siri, Microsoft’s Cortana, Amazon’s Alexa and now Google’s Assistant. Facebook, Microsoft, Google and Baidu have been processing various forms of language and machine translation. Google Translate can render spoken sentences in 32 languages while their text translation can translate to 103 tongues. There have also been several breakthroughs in self-piloting vehicles as Tesla, Ford, Google, Uber and Baidu continue working on testing prototypes. This have all been possible due to the deep neural networks of machine learning solutions.

Machine Learning Solutions by Folio3

At Folio3, we believe that machine learning and deep learning is not just for consumer apps which is why we are helping our clients to use this technology to become intelligent enterprises. By automating processes and prioritizing routine decision making and driving process automation through advanced algorithms, we are paving the way for innovative business models and services that can be utilized for machine learning. Removing the possibility of human error, machine learning solutions and deep learning are enabling us to shift the traditional rule-based processes to more intelligent ones which will enable the discovery of new unstructured data sets and patterns.

Folio3 helps infuse continuous intelligence in your enterprise processes by dramatically improving your productivity. Our expert team will:

  • Analyze the ML/DL needs and requirements of your company
  • Provide skilled resources to determine the ML/DL models
  • Integrate and design solutions around online ML services

We have experience in using and optimizing some of the most high performance neural network frameworks and engines like:

  • Tensorflow
  • Caffe2
  • Deeplearning4J

Both Machine learning and deep learning techniques can solve a large range of problems across multiple industries. At Folio3, we cater to the following platforms and Services including:

  • IBM Watson
  • Amazon AWS
  • Google.ai
  • Microsoft Azure

ConverseSmartly by Folio3

With the development of web application ConverseSmartly (CS), Folio3 has established a strong footprint in the use and application of Machine Learning, Artificial Intelligence and Natural Language Processing.

CS enables organizations and individuals to work smarter, faster and with greater accuracy. The application can be used to analyze dialogue or speech from team meetings, interviews, conferences and seminars and even lectures into text.

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