Keras Developer – Income and Opportunity

Before we learn about the money, let’s get this question out of the way: What Is Keras? Let’s have a look at the definition from the official Keras website: “Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes … Read more

PyTorch Developer – Income and Opportunity

Before we learn about the money, let’s get this question out of the way: What Is PyTorch? Let’s have a look at the definition from the official PyTorch website: “An open source machine learning framework that accelerates the path from research prototyping to production deployment. More specifically, PyTorch is an optimized tensor library for deep … Read more

How to Develop LARS Regression Models in Python?

What is LARS regression? Regression is the analysis of how a variable (the outcome variable) depends on the evolution of other variables (explanatory variables). In regression, we are looking for the answer to the question of what is the function that can be used to predict the value of another variable Y by knowing the … Read more

How to Install TensorFlow on PyCharm?

TensorFlow is one of the most popular open-source libraries for machine learning and deep neural networks in Python—initiated by the machine learning engineers at Google! Problem Formulation: Given a PyCharm project. How to install the TensorFlow library in your project within a virtual environment or globally? Here’s a solution that always works: Open File > … Read more

How to Classify Star Wars Lego Images using CNN and Transfer Learning

This tutorial is about training deep learning (DL) models to classify Star Wars Lego images. We use the TensorFlow library to create and compare the image classifiers. Are you looking for interesting deep learning projects that are suitable for beginners? Do not worry, this is not another MNIST image classification tutorial. Instead, we are going … Read more

[Cheat Sheet] 6 Pillar Machine Learning Algorithms

This machine learning cheat sheet gives you a visual overview of 6 must-know machine learning algorithms (and where to learn more). Linear Regression: train your linear model to predict output values. K-Means Clustering: apply it on unlabeled data to find clusters and patterns in your data. K-Nearest Neighbors: use a similarity metric to find the … Read more

Logistic Regression in Python Scikit-Learn

Logistic regression is a popular algorithm for classification problems (despite its name indicating that it is a “regression” algorithm). It belongs to one of the most important algorithms in the machine learning space. Linear Regression Background Let’s review linear regression. Given the training data, we compute a line that fits this training data so that … Read more

Random Forest Classifier with sklearn

Does your model’s prediction accuracy suck but you need to meet the deadline at all costs? Try the quick and dirty “meta-learning” approach called ensemble learning. In this article, you’ll learn about a specific ensemble learning technique called random forests that combines the predictions (or classifications) of multiple machine learning algorithms. In many cases, it … Read more

SVM sklearn: Python Support Vector Machines Made Simple

Support Vector Machines (SVM) have gained huge popularity in recent years. The reason is their robust classification performance – even in high-dimensional spaces: SVMs even work if there are more dimensions (features) than data items. This is unusual for classification algorithms because of the curse of dimensionality – with increasing dimensionality, data becomes extremely sparse … Read more

Python Scikit-Learn Decision Tree [Video + Blog]

Decision Trees are powerful and intuitive tools in your machine learning toolbelt. Decision trees are human-readable – in contrast to most other machine learning techniques. You can easily train a decision tree and show it to your supervisors who do not need to know anything about machine learning in order to understand how your model … Read more