Published inHeartbeat·PinnedGuide to Non-Linear Activation Functions in Deep LearningNon-linear activation functions that you need to know — Activation functions are equations or mathematical formulas that help us determine the output of a neural network. The main purpose of an activation function is to derive an output value based on the input value that is fed to a neuron. In deep learning, activation functions add non-linearity to the…Activation Functions7 min readActivation Functions7 min read
Published inHeartbeat·PinnedGuide to Distance Metrics in Machine Learning AlgorithmsDistance Metrics used in machine learning algorithms — Distance metrics play a very important role in machine learning. A number of machine learning algorithms, both supervised and unsupervised, use distance metrics to calculate the similarity between two data points. These distance metrics calculate mathematics-driven distance between various data points available in the dataset. …Heartbeat6 min readHeartbeat6 min read
Published inHeartbeat·PinnedGuide to Activation Functions in Neural NetworksHow to choose the best activation function for your deep learning model — Activation functions play an essential part in artificial neural networks as they decide whether a neuron should be activated or not. Activating a neuron determines whether the information that the neuron is receiving is relevant and if it should be used or ignored. Activation functions are mathematical equations that help…Heartbeat6 min readHeartbeat6 min read
Published inHeartbeat·PinnedTechniques to Handle Imbalanced Data in Machine LearningDifferent ways to handle imbalanced data for a classification problem — In the machine learning process, while dealing with classification problems, you’ve probably faced situations where the number of observations for one of the target class labels is significantly lower than the observations of other target classes. …Heartbeat6 min readHeartbeat6 min read
Published inHeartbeat·PinnedHyperparameter Tuning in Machine Learning Using GridSearchCVFinding the optimal hyperparameters using grid search — Model parameters and model hyperparameters are two important things that we define while building a machine learning model. …Heartbeat5 min readHeartbeat5 min read
Published inBetter AI·Updated May 13Member-onlyTransfer Learning in Neural NetworkA hands-on guide to transfer learning in deep learning — Transfer learning is a machine learning technique that allows us to use a pre-trained model as a starting point to develop a new model, rather than building and training a new machine learning model from scratch. The main goal of the transfer learning technique is to utilise the knowledge and…Neural Networks6 min readNeural Networks6 min read
Published inPredict·May 13Member-only7 MacOS Applications That are Highly Useful but UnderratedLet’s discuss some useful MacOS apps that can make you more productive — Mac is known for its sleek design, powerful performance, and user-friendly interface, which makes it a popular choice for both personal and professional use. It is very intuitive with an easy-to-use interface, which makes it appealing to users who are not tech-savvy. If you have your own Apple device such…Mac4 min readMac4 min read
Published inLevel Up Coding·Mar 29Member-only9 Python Code Snippets That Can be Used to Solve Everyday ProblemsMust check these code snippets — Python is a versatile programming language that can be used to solve a wide variety of daily problems. Its versatility and ease of use make it a great choice for solving a wide variety of everyday problems. In this article, we will go through some examples that will show how…Python6 min readPython6 min read
Published inLevel Up Coding·Jan 30Member-only10 Pandas Functions That You Need to Know TodayMust know pandas library functions in python — Pandas is a library in Python that makes it easy to work with datasets. It provides tools to organize, analyze and clean up datasets. It helps us to sort, filter and make calculations on that data so that we can get the information we need. Pandas is widely used in…Python4 min readPython4 min read
Published inLevel Up Coding·Jan 16Member-only9 Python Code Refactoring Tips to Write Cleaner CodeTips to make your code faster, cleaner, and maintainable — Code refactoring is one of the most interesting and important parts of your code. Refactoring your code not only makes your code more readable but also reduces the number of unnecessary lines. In this article, we will go through some best practices that will help you write Python code in…Python4 min readPython4 min read
