Pickl AI

OCTOBER 15, 2024

Summary: Statistical Modeling is essential for Data Analysis, helping organisations predict outcomes and understand relationships between variables. It encompasses various models and techniques, applicable across industries like finance and healthcare, to drive informed decision-making.

Decision Trees 52

Decision Trees Hypothesis Testing Clustering Data Analysis 52

Pickl AI

OCTOBER 3, 2024

Explore More: Use of Data Analytics by Uber to Enhance Supply Efficiency and Service Quality How Predictive Analytics Works Predictive analytics is a sophisticated branch of Data Analysis that uses historical data, statistical algorithms, and Machine Learning techniques to forecast future outcomes.

Predictive Analytics 52

Predictive Analytics Analytics Analytics Machine Learning 52

Pickl AI

DECEMBER 12, 2024

Introduction Boosting is a powerful Machine Learning ensemble technique that combines multiple weak learners, typically decision trees, to form a strong predictive model. It identifies the optimal path for missing data during tree construction, ensuring the algorithm remains efficient and accurate. Lower values (e.g.,

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Pickl AI

NOVEMBER 18, 2024

Key steps involve problem definition, data preparation, and algorithm selection. Data quality significantly impacts model performance. For example, linear regression is typically used to predict continuous variables, while decision trees are great for classification and regression tasks.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Towards AI

JULY 19, 2023

That post was dedicated to an exploratory data analysis while this post is geared towards building prediction models. Feel free to try other algorithms such as Random Forests, Decision Trees, Neural Networks, etc., Data Preparation Photo by Bonnie Kittle […] among unsupervised models.

Machine Learning 40

Machine Learning Machine Learning K-nearest Neighbors Support Vector Machines 40

Pickl AI

NOVEMBER 5, 2024

Companies can tailor products and services to individual preferences based on extensive Data Analysis. Augmented Analytics Combining Artificial Intelligence with traditional analytics allows businesses to gain insights more quickly by automating data preparation processes.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 52

Heartbeat

MAY 29, 2023

In this article, we will explore the essential steps involved in training LLMs, including data preparation, model selection, hyperparameter tuning, and fine-tuning. We will also discuss best practices for training LLMs, such as using transfer learning, data augmentation, and ensembling methods.

Machine Learning 78

Machine Learning Machine Learning Natural Language Processing Data Preparation 78

Pickl AI

NOVEMBER 28, 2024

Decision Trees These trees split data into branches based on feature values, providing clear decision rules. Data Transformation Transforming data prepares it for Machine Learning models. It’s simple but effective for many problems like predicting house prices.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

DagsHub

APRIL 21, 2024

A traditional machine learning (ML) pipeline is a collection of various stages that include data collection, data preparation, model training and evaluation, hyperparameter tuning (if needed), model deployment and scaling, monitoring, security and compliance, and CI/CD.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

Pickl AI

DECEMBER 4, 2024

Augmented Analytics Augmented analytics is revolutionising the way businesses analyse data by integrating Artificial Intelligence (AI) and Machine Learning (ML) into analytics processes. Understand data structures and explore data warehousing concepts to efficiently manage and retrieve large datasets.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52