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A Comprehensive Beginner’s Guide to Reinforcement Learning
“The Markov chain captures the essence of independence between the past and the future, highlighting that the present state holds the key to predicting what lies ahead.” The Markov property says that the future is only influenced by the present, not the past. A Markov chain, also called a Markov process, is a sequence of…
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One of the most powerful tool that gets ignored
A powerful machine learning technique that merges neural networks and Bayesian statistics to make predictions that are both accurate and reliable. Imagine you want to predict whether your friend will come to your party. You might base your prediction on past events, how well you know them, and whether they have any other plans for…
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Quantum Teleportation
Get ready to be transported to a whole new dimension with quantum teleportation — where the impossible becomes possible! What exactly is quantum teleportation? Quantum teleportation is an amazing idea in quantum mechanics that allows us to send information from one place to another without any physical connection between them. It’s different from traditional communication methods because…
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A 4-step guide to making a deployment-ready deep learning model
The model has been trained and dumped, what next? Deploying a deep learning model in production is a complex task that requires careful attention to both technical and practical details. You want to ensure that your model performs well and delivers accurate results, but you also need to consider other factors such as user experience,…
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Swish Activation function
The smooth and non-monotonic function that can be used in place of the commonly used ReLU activation function. Introduction to Activation Functions In machine learning and deep learning, an activation function is a mathematical function that is applied to the output of a neural network layer to introduce non-linearity into the network, allowing it to…
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