Before we learn about the money, let’s get this question out of the way: What Is a Chatbot Developer? A chatbot developer creates software to automate communication with customers and users. An example chatbot application is in customer service for an eCommerce website. Chatbot developers use machine learning and artificial intelligence techniques to communicate with … Read more
In this guide, I’ve compiled the top 7 freelancing niches I found highly profitable based on my experience working as a business owner and freelancer myself, hiring hundreds of freelance developers for my company, and teaching thousands of freelancing students through our books and courses. Each niche is presented with a video where I show … Read more
Before we learn about the money, let’s get this question out of the way: What Is Deep Learning ? Let’s have a look at the definition of Deep Learning Deep learning is a subset of machine learning using artificial neural network (ANN) models with more than three layers. ANNs are inspired by the behavior of … Read more
Before we learn about the money, let’s get this question out of the way: What Is Machine Learning? Let’s have a look at the definition: Machine learning (ML) is a subfield of artificial intelligence (AI) that focuses on the automatic creation of models from training data that predict outcomes accurately. The automatic creation of an … Read more
Related Article: Keras Developer — Income and Opportunity PyTorch Developer — Income and Opportunity Before we learn about the money, let’s get this question out of the way: What Is TensorFlow? Let’s have a look at the definition from the official TensorFlow website: “An end-to-end open source machine learning platform. The core open source library … Read more
This tutorial is about applying object segmentation in five lines of code. We show a beginner-friendly code implementation using the PixelLib library on Google Colab. Does machine learning have to be hard? Well, back then when everything must be coded from scratch, yes. But today, we are stepping on the shoulders of giants. Lots of … Read more
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
Disclaimer: The bot built here should be used only as a learning tool. If you choose to do real trading on Binance, then you have to build your own criteria and logic for trading. The author is not responsible for any losses incurred if you choose to use the code developed here on Binance. Note: … Read more
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
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 is a popular algorithm for classification problems (despite its name indicating that it is a âregressionâ algorithm). It belongs to one of the most important algorithms in the machine learning space. Linear Regression Background Letâs review linear regression. Given the training data, we compute a line that fits this training data so that … Read more
Does your model’s prediction accuracy suck but you need to meet the deadline at all costs? Try the quick and dirty âmeta-learningâ 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