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Demystifying Deep Learning – Back to Basics

Deep learning is a learning scheme that approaches the learning problem by learning the underlying representations; too much of learning. I thats why its also called as representation learning.

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Uncovering Anxious Deep Learning for Ease

A technique for implementing machine learning.  At the same time I also claim It is absolutely wrong to call Deep Learning as Machine Learning (in my personal opinion). The techniques is to achieve a goal not necessarily come out of same goal.  #AILabPage

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Why GDPR will Make Machine Learning not so legal

Does GDPR require Machine Learning algorithms to explain their output? may be yes may be no or in short Probably not, but there is enough ambiguity to be clarified and keep DataScientists, Lawyers, industry influencers busy.

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Astonishing Hierarchy of Machine Learning Needs

Machine Learning is hottest subject of today’s time, DataScientist is the sexiest job of today but implementing these buzz words in real life business is most important need.   The Brief Machine Learning is the hottest subject of today’s time, DataScientist is the sexiest job of today but […]

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Reinforcement Learning – Reward for Learning

Reinforcement learning can be understood by using the concepts of agents, environments, states, actions and rewards. This is an area of machine learning; where there’s no answer key, but RL agent still has to decide how to act to perform its task. The agent is inspired by behaviourist psychology who decide how and what actions will taken in an environment to maximize some notion of cumulative reward.

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Unsupervised Learning an Angle for Unlabelled Data World

System does self-discovery of patterns, regularities and features etc. from the input data and relations for the input data over output data. Discovering similarities and dissimilarities to forms clusters i.e. self-discovery is main target here. Since the examples given to the learner are unlabeled

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Supervised Machine Learning – Insider Scoop for labeled data

Machine learning algorithms “learns” from the observations. When exposed to more observations, the algorithm improves its predictive performance. What’s going to happen to the stock market tomorrow? Is a task of deducing function from labeled training data.

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Machine Learning and Its Algorithms to Know – MLAlgos

Machine learning is subset to Artificial Intelligence which borrows principles from computer science. It is not an AI though; It is focal point where business and experience meet emerging technology and decides to work together.

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How Cognitive Ergonomics of AI Exciting FinTech

AI is Transforming the Digital Economy through FinTech. How its doing that we will answer below by taking help through “Cognitive Ergonomics”. May assuming AI more human then it is.

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The Exciting Evolution of Machine Learning

Machine learning is the process of a machine attempting to accomplish a task, independent of human intervention, more efficiently and more effectively with every passing attempt i.e learning phase. At this point, AI- a machine which mimics the human mind, is still a pipe dream. In the middle we have the meat of the pipeline, the model, which is the machine learning algorithm that learns to predict given input data.

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