Pickl AI

JANUARY 29, 2024

Key Components In Data Science, key components include data cleaning, Exploratory Data Analysis, and model building using statistical techniques. AI comprises Natural Language Processing, computer vision, and robotics. Emphasises programming skills, understanding of algorithms, and expertise in Data Analysis.

Data Science 52

Data Science ML Machine Learning Artificial Intelligence 52

Bugra Akyildiz

MAY 25, 2024

The blog post acknowledges that while GPT-4o represents a significant step forward, all AI models including this one have limitations in terms of biases, hallucinations, and lack of true understanding. OpenAI has wrote another blog post around data analysis capabilities of the ChatGPT.

ChatGPT 59

ChatGPT Machine Learning Data Analysis OpenAI 59

Pickl AI

SEPTEMBER 3, 2024

Explainable AI As ANNs are increasingly used in critical applications, such as healthcare and finance, the need for transparency and interpretability has become paramount. Business Intelligence Analyst Business intelligence analysts use Data Analysis and visualisation techniques to support decision-making within organisations.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 52

Pickl AI

JANUARY 13, 2025

Using simple language, it explains how to perform data analysis and pattern recognition with Python and R. Practical examples using Python and R. Explains real-world applications like fraud detection. Includes Python-based coding exercises. Explains underlying mathematical concepts.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Machine Learning 52

Pickl AI

MAY 15, 2024

Understanding the Challenges of Scaling Data Science Projects Successfully transitioning from Data Analyst to Data Science architect requires a deep understanding of the complexities that emerge when scaling projects. But as data volume and complexity increase, traditional infrastructure struggles to keep up.

Data Scientist 52

Data Scientist Data Science Machine Learning Data Quality 52

Pickl AI

APRIL 2, 2024

Unsupervised Learning: Finding patterns or insights from unlabeled data. Tools and Technologies Python/R: Popular programming languages for data analysis and machine learning. Tableau/Power BI: Visualization tools for creating interactive and informative data visualizations.

Data Science 52

Data Science Data Scientist Machine Learning Big Data 52

Pickl AI

NOVEMBER 18, 2024

Here are some key components to consider: Programming Languages Two of the most widely used programming languages for Machine Learning are Python and R. Python’s simplicity and vast ecosystem of libraries make it the go-to choice for both beginners and professionals. Let’s explore some of the key trends.

Machine Learning 52

Machine Learning Algorithm Data Quality Neural Network 52

Viso.ai

APRIL 25, 2024

Deep learning models are black-box methods by nature, and even though those models succeeded the most in CV tasks, explainability is still poorly assessed. Explainable AI improves the transparency of those models making them more trustworthy. Do the data agree with harmful stereotypes?

Computer Vision 52

Computer Vision Categorization Algorithm Machine Learning 52