Pickl AI

JULY 18, 2023

With technological developments occurring rapidly within the world, Computer Science and Data Science are increasingly becoming the most demanding career choices. Moreover, with the oozing opportunities in Data Science job roles, transitioning your career from Computer Science to Data Science can be quite interesting.

Computer Science 52

Computer Science Computer Science Data Science Machine Learning 52

IBM Journey to AI blog

DECEMBER 20, 2023

ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. K-means clustering is commonly used for market segmentation, document clustering, image segmentation and image compression.

Machine Learning 97

Machine Learning Machine Learning Supervised Learning Clustering 97

Pickl AI

MAY 30, 2024

Understanding Data Science Data Science involves analysing and interpreting complex data sets to uncover valuable insights that can inform decision-making and solve real-world problems. You will collect and clean data from multiple sources, ensuring it is suitable for analysis.

Data Analysis 52

Data Analysis Data Analysis Data Science Exploratory Data Analysis 52

ODSC - Open Data Science

OCTOBER 18, 2023

The process begins with a careful observation of customer data and an assessment of whether there are naturally formed clusters in the data. It continues with the selection of a clustering algorithm and the fine-tuning of a model to create clusters.

Machine Learning 52

Machine Learning Machine Learning Clustering Data Science 52

Mlearning.ai

MAY 23, 2023

Blind 75 LeetCode Questions - LeetCode Discuss Data Manipulation and Analysis Proficiency in working with data is crucial. This includes skills in data cleaning, preprocessing, transformation, and exploratory data analysis (EDA). in these fields.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

JULY 25, 2023

Their primary responsibilities include: Data Collection and Preparation Data Scientists start by gathering relevant data from various sources, including databases, APIs, and online platforms. They clean and preprocess the data to remove inconsistencies and ensure its quality.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

JULY 12, 2024

Natural Language Processing (NLP) This is a field of computer science that deals with the interaction between computers and human language. NLP tasks include machine translation, speech recognition, and sentiment analysis. Feature Engineering : Creating or transforming new features to enhance model performance.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52