Kubeflow Pipelines: A Step-by-Step Guide Kubeflow Pipelines is a platform for building, deploying, and managing end-to-end machine learning workflows. It streamlines the process of creating and executing ML pipelines, making it easier for data scientists and engineers to collaborate on model development and deployment. In this tutorial, we will guide you through the process of setting up Kubeflow Pipelines on your local machine using MiniKF and running a simple pipeline in Python. Prerequisites A computer with at least 8GB RAM…
AutoML: Automated Machine Learning in Python
AutoML: Automated Machine Learning in Python AutoML (Automated Machine Learning) is a branch of machine learning that uses artificial intelligence and machine learning techniques to automate the entire machine learning process. AutoML automates tasks such as data preparation, feature engineering, algorithm selection, hyperparameter tuning, and model evaluation. AutoML enables non-experts to build and deploy machine learning models with minimal effort and technical knowledge. Automated Machine Learning in Python Python is a popular language for machine learning, and several libraries support…
Bayesian Machine Learning: Probabilistic Models and Inference in Python
Bayesian Machine Learning: Probabilistic Models and Inference in Python Bayesian Machine Learning is a branch of machine learning that incorporates probability theory and Bayesian inference in its models. Bayesian Machine Learning enables the estimation of model parameters and prediction uncertainty through probabilistic models and inference techniques. Bayesian Machine Learning is useful in scenarios where uncertainty is high and where the data is limited or noisy. Probabilistic Models and Inference in Python Python is a popular language for machine learning, and…
Active Learning: Learning with Limited Labeled Data in Python (Scikit-learn, Active Learning Lib)
Active Learning: Learning with Limited Labeled Data in Python (Scikit-learn, Active Learning Lib) Active Learning is a machine learning approach that enables the selection of the most informative data points to be labeled by an oracle, thereby reducing the number of labeled data points required to train a model. Active Learning is useful in scenarios where labeled data is limited or expensive to acquire. Active Learning can help improve the accuracy of machine learning models with fewer labeled data points.…
Transfer Learning: Leveraging Pre-Trained Models for New Tasks in Python (+Keras).
Transfer Learning: Leveraging Pre-Trained Models for New Tasks in Python (+Keras). Transfer Learning is a technique in Deep Learning that enables a pre-trained model to be reused on a new task that is similar to the original task. Transfer Learning can save time and computational resources by leveraging the knowledge gained from the original task. The pre-trained model can be fine-tuned or used as a feature extractor for the new task. Using Pre-Trained Models in Keras Keras is a popular…
Unsupervised Learning: Clustering and Dimensionality Reduction in Python
Unsupervised Learning: Clustering and Dimensionality Reduction in Python Unsupervised learning is a type of machine learning where the model is not provided with labeled data. The model learns the underlying structure and patterns in the data without any specific guidance on what to look for. Clustering and Dimensionality Reduction are two important techniques in unsupervised learning. Clustering Clustering is a technique where the model tries to identify groups in the data based on their similarities. The objective is to group…
Using Python and TensorFlow to Build a Basic Chatbot
Using Python and TensorFlow to Build a Basic Chatbot Chatbots are becoming increasingly popular as a way for businesses to interact with their customers. Chatbots can provide customer support, answer questions, and even make appointments. One way to create a chatbot is to use a neural network, which can be trained to recognize patterns in user input and generate appropriate responses. In this tutorial, we’ll use Python and the TensorFlow library to build a basic chatbot using a neural network.…