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  An Introduction to Deep Learning During recent years, deep learning has become somewhat of a buzzword in the tech community. We always seem to hear about it in news regarding AI, and yet most people don’t actually know what it is! In this article, I’ll be demystifying the buzzword that is deep learning, and providing an intuition of how it works. Building the Intuition Generally speaking, deep learning is a machine learning method that takes in an input X, and uses it to predict an output of Y. As an example, given the stock prices of the past week as input, my deep learning algorithm will try to predict the stock price of the next day. Given a large dataset of input and output pairs, a deep learning algorithm will try to minimize the difference between its prediction and expected output. By doing this, it tries to learn the association/pattern between given inputs and outputs — this in turn allows a deep learning model to generalize to inputs that it hasn’t seen before. As another e

  The Difference Between Artificial Intelligence, Machine Learning, and Deep Learning Simple explanations of Artificial Intelligence, Machine Learning, and Deep Learning and how they’re all different. Plus, how AI and IoT are inextricably connected. We’re all familiar with the term “Artificial Intelligence.” After all, it’s been a popular focus in movies such as The Terminator, The Matrix, and Ex Machina (a personal favorite of mine). But you may have recently been hearing about other terms like “Machine Learning” and “Deep Learning,” sometimes used interchangeably with artificial intelligence. As a result, the difference between artificial intelligence, machine learning, and deep learning can be very unclear. I’ll begin by giving a quick explanation of what Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) actually mean and how they’re different. Then, I’ll share how AI and the Internet of Things are inextricably intertwined, with several technological advanc

 4 TYPES OF MACHINE LEARNING ALGORITHMS In this issue: Types of Machine Learning Algorithms Supervised ML Algorithms Unsupervised ML Algorithms Semi-supervised ML Algorithms Reinforcement ML Algorithms What do we think about ML? Machine Learning came a long way from a science fiction fancy to a reliable and diverse business tool that amplifies multiple elements of the business operation. Its influence on business performance may be so significant that the implementation of machine learning algorithms is required to maintain competitiveness in many fields and industries. The implementation of machine learning in business operations is a strategic step and requires a lot of resources. Therefore, it's important to understand what do you want the ML to do for your particular business and what kind of perks different types of ML algorithms bring to the table.  In this article, we'll cover the major types of machine learning algorithms, explain the purpose of each of them, and see wh

 Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. Insights Analytics Insights Teal abstract honeycomb background with white line art overlay Machine Learning What it is and why it matters Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. Importance Today's World      Who Uses It How It Works Evolution of machine learning Because of new computing technologies, machine learning today is not like machine learning of the past. It was born from pattern recognition and the theory that computers can learn without being programmed to perform specific tasks; researchers interested in a

 Asif Currimbhoy's ‘Goa' -A Study ASIF CURRIMBHOY'S Goal (1964) deals with the Indian takeover of Goa2 in December 1961. The play reveals the unique stand taken by Currimbhoy in assessing the worthwhileness of the political event. It opens with the encounter of the dramatist with his friend Mario, the Portuguese local Administrator who is proud of Goa and who praises a Goan village "nestling amidst green hills and valleys." It is evening and the "regulars" meet at the "patio" benches. Senhora Miranda, a fair-looking woman of about forty, splendidly dressed in the latest Portuguese fashion, with colourful parasol in hand, comes down the steps of the tavern on the west side of the stage, walks across the long "patio" walk, and enters her house on the east side of the stage. While the woman walks into her house, a young man at the "patio" looks at a girl who is "dark looking and about fourteen  with a b