Becoming Human

MAY 15, 2023

The two most common types of supervised learning are classification , where the algorithm predicts a categorical label, and regression , where the algorithm predicts a numerical value. It is highly configurable and can integrate with other tools like Git, Docker, and AWS.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Pickl AI

NOVEMBER 28, 2024

These techniques span different types of learning and provide powerful tools to solve complex real-world problems. Supervised Learning Supervised learning is one of the most common types of Machine Learning, where the algorithm is trained using labelled data.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Mlearning.ai

JUNE 1, 2023

This is inherently a supervised learning problem. Hyperparameter tuning - To improve the current model, I would utilize hyperparameter tuning jobs using AWS/Azure, since they offer parallel runs and early stopping functionality. Load model to the cloud (AWS/Azure) Rearchitect the CNN using examples from research papers.

Deep Learning 52

Deep Learning Deep Learning Azure AWS 52

Pickl AI

JULY 12, 2024

Machine Learning algorithms are trained on large amounts of data, and they can then use that data to make predictions or decisions about new data. There are three main types of Machine Learning: supervised learning, unsupervised learning, and reinforcement learning.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Pickl AI

NOVEMBER 18, 2024

The main types are supervised, unsupervised, and reinforcement learning, each with its techniques and applications. Supervised Learning In Supervised Learning , the algorithm learns from labelled data, where the input data is paired with the correct output. spam email detection) and regression (e.g.,

Machine Learning 52

Machine Learning Machine Learning Decision Trees Algorithm 52

Pickl AI

APRIL 26, 2024

Machine learning is a subset of artificial intelligence that enables computers to learn from data and improve over time without being explicitly programmed. Explain the difference between supervised and unsupervised learning. Have you worked with cloud-based data platforms like AWS, Google Cloud, or Azure?

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Dataconomy

MARCH 13, 2023

There are several types of AI algorithms, including supervised learning, unsupervised learning, and reinforcement learning. The quality and quantity of data are crucial for the success of an AI system. Algorithms:  AI algorithms are used to process the data and extract insights from it.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Natural Language Processing Algorithm 98