Towards AI

AUGUST 16, 2023

Data description: This step includes the following tasks: describe the dataset, including the input features and target feature(s); include summary statistics of the data and counts of any discrete or categorical features, including the target feature. Training: This step includes building the model, which may include cross-validation.

AI 98

AI AI Machine Learning Machine Learning 98

Dataconomy

JUNE 29, 2023

These packages enable developers to leverage state-of-the-art techniques in areas such as image recognition, natural language processing, and reinforcement learning, opening up a wide range of possibilities for solving complex problems. It is commonly used in exploratory data analysis and for presenting insights and findings.

Machine Learning 113

Machine Learning Machine Learning Deep Learning Deep Learning 113

Pickl AI

JULY 12, 2024

Neural networks are inspired by the structure of the human brain, and they are able to learn complex patterns in data. Deep Learning has been used to achieve state-of-the-art results in a variety of tasks, including image recognition, Natural Language Processing, and speech recognition.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Pickl AI

DECEMBER 16, 2024

Long Short-Term Memory (LSTM) A type of recurrent neural network (RNN) designed to learn long-term dependencies in sequential data. Facebook Prophet A user-friendly tool that automatically detects seasonality and trends in time series data. Making Data Stationary: Many forecasting models assume stationarity.

AI 52

AI AI Machine Learning Machine Learning 52

Heartbeat

MAY 29, 2023

LLMs are one of the most exciting advancements in natural language processing (NLP). We will explore how to better understand the data that these models are trained on, and how to evaluate and optimize them for real-world use.

Machine Learning 78

Machine Learning Machine Learning Natural Language Processing Data Preparation 78

Pickl AI

SEPTEMBER 12, 2024

Clustering: An unsupervised Machine Learning technique that groups similar data points based on their inherent similarities. Cross-Validation: A model evaluation technique that assesses how well a model will generalise to an independent dataset. NLP enables machines to understand and interpret text and speech.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52