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 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

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

SEPTEMBER 18, 2024

Algorithm and Model Development Understanding various Machine Learning algorithms—such as regression , classification , clustering , and neural networks —is fundamental. You should be comfortable with cross-validation, hyperparameter tuning, and model evaluation metrics (e.g., accuracy, precision, recall, F1-score).

Machine Learning 52

Machine Learning Machine Learning Algorithm Natural Language Processing 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

The MLOps Blog

APRIL 20, 2023

Annotation and labeling: accurate annotations and labels are essential for supervised learning. Bookmark for later Deploying Computer Vision Models: Tools & Best Practices Continuous learning and improvement Your job is not finished once your CV model is deployed, in fact, in many ways, it has just started.

ML 64

ML ML Data Quality Cross Validation 64