Towards AI

NOVEMBER 4, 2024

Predicting the elections, however, presents challenges unique to it, such as the dynamic nature of voter preferences, non-linear interactions, and latent biases in the data. The points to cover in this article are as follows: Generating synthetic data to illustrate ML modelling for election outcomes.

Machine Learning 118

Machine Learning Machine Learning Exploratory Data Analysis EDA 118

Towards AI

AUGUST 16, 2023

In general, the results of current journal articles on AI (even peer-reviewed) are irreproducible. Data preparation: This step includes the following tasks: data preprocessing, data cleaning, and exploratory data analysis (EDA). 85% or more of AI projects fail [1][2].

AI 96

AI AI Machine Learning Machine Learning 96

Dataconomy

AUGUST 16, 2023

” The answer: they craft predictive models that illuminate the future ( Image credit ) Data collection and cleaning : Data scientists kick off their journey by embarking on a digital excavation, unearthing raw data from the digital landscape. The magic of “What does a data scientist do?”

Data Scientist 172

Data Scientist Data Science Machine Learning Machine Learning 172

Pickl AI

MAY 30, 2024

Quality data is foundational for accurate analysis, ensuring businesses stay competitive in the digital landscape. Data Science and Data Analysis play pivotal roles in today’s digital landscape. This article will explore these cycles, from data acquisition to deployment and monitoring.

Data Analysis 52

Data Analysis Data Analysis Data Science Exploratory Data Analysis 52

Becoming Human

MAY 15, 2023

You have to learn only those parts of technology that are useful in data science as well as help you land a job. Don’t worry; you have landed at the right place; in this article, I will give you a crystal clear roadmap to learning data science. Because this is the only effective way to learn Data Analysis.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Heartbeat

MAY 29, 2023

A small portion of the LLM ecosystem; image from scalevp.com In this article, we will provide a comprehensive guide to training, deploying, and improving LLMs. In this article, we will explore the essential steps involved in training LLMs, including data preparation, model selection, hyperparameter tuning, and fine-tuning.

Machine Learning 78

Machine Learning Machine Learning Natural Language Processing Data Preparation 78

Pickl AI

OCTOBER 17, 2023

ChatGPT’s ability to interpret natural language improves Data Science processes from analysis to model building, underscoring its significance in enabling Data Scientists to fully use data. We will also explore the opportunities and factors to be taken into account while using ChatGPT for Data Science.

Data Scientist 52

Data Scientist Machine Learning Machine Learning Data Science 52