Predictive modeling with deep learning is a skill that modern developers need to know. PyTorch is the premier open-source deep learning framework developed and maintained by Facebook. At its core, PyTorch is a mathematical library that allows you to perform efficient computation and automatic differentiation on graph-based models. Achieving this directly is challenging, although thankfully, […]
Deep Learning with PyTorch Learn Basic Deep Learning with Minimal Code in PyTorch 2.0 Why Are Deep Learning Models So Powerful? …the secret is “Representation Learning“ Deep learning techniques are so powerful because they learn the best way to represent the problem while learning how to solve the problem. This is called representation learning. Representation […]
Machine learning is a broad topic. Deep learning, in particular, is a way of using neural networks for machine learning. A neural network is probably a concept older than machine learning, dating back to the 1950s. Unsurprisingly, there were many libraries created for it. The following aims to give an overview of some of the […]
TensorFlow is a Python library for fast numerical computing created and released by Google. It is a foundation library that can be used to create Deep Learning models directly or by using wrapper libraries that simplify the process built on top of TensorFlow. In this post, you will discover the TensorFlow library for Deep Learning. […]
Optimization for Machine Learning Finding Function Optima with Python …so What is Function Optimization? Function optimization is to find the maximum or minimum value of a function. The function may have any structure as long as it produces numerical values. If we got a function as a blackbox how can we find its maximum or […]
Ensemble Learning Algorithms With Python Make Better Predictions with Bagging, Boosting, and Stacking …so What is Ensemble Learning? Ensemble learning algorithms combine the predictions of two or more models. The idea of ensemble learning is closely related to the idea of the “wisdom of crowds“. This is where many different independent decisions, choices or estimates […]
Genetic Programming (GP) is an algorithm for evolving programs to solve specific well-defined problems. It is a type of automatic programming intended for challenging problems where the task is well defined and solutions can be checked easily at a low cost, although the search space of possible solutions is vast, and there is little intuition […]
Are you getting different results for your machine learning algorithm? Perhaps your results differ from a tutorial and you want to understand why. Perhaps your model is making different predictions each time it is trained, even when it is trained on the same data set each time. This is to be expected and might even […]
Deep learning is not a magic bullet, but the techniques have shown to be highly effective in a large number of very challenging problem domains. This means that there is a ton of demand by businesses for effective deep learning practitioners. The problem is, how can the average business differentiate between good and bad practitioners? […]
Deep Learning for Time Series Forecasting Predict the Future with MLPs, CNNs and LSTMs in Python …why deep learning? The Promise of Deep Learning for Time Series Forecasting Traditionally, time series forecasting has been dominated by linear methods because they are well understood and effective on many simpler forecasting problems. Deep learning neural networks are […]
