Flipboard

JUNE 17, 2025

Mastering machine learning processes, such as data preprocessing, feature engineering, and model training, is critical for developing adaptive systems and staying competitive. Core concepts such as algorithms , neural networks , and natural language processing (NLP) are essential for designing AI solutions tailored to specific challenges.

AI 73

AI AI Machine Learning Machine Learning 73

Flipboard

JUNE 13, 2025

To excel in ML, you must understand its key methodologies: Supervised Learning: Involves training models on labeled datasets for tasks like classification (e.g., Cloud Computing: Scaling AI Solutions Cloud computing platforms like AWS, Google Cloud, and Microsoft Azure are indispensable for deploying and scaling AI models.

Artificial Intelligence 73

Artificial Intelligence Artificial Intelligence Exploratory Data Analysis Machine Learning 73

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 Algorithm Decision Trees 52