Flipboard

NOVEMBER 27, 2023

Artificial intelligence has been steadily infused into various parts of the Synopsys EDA tool suite for the last few years. What started in 2021 with DSO.ai, a tool created to accelerate, enhance and reduce the costs associated with the place-and-route stage of semiconductor design (sometimes …

EDA 138

EDA Artificial Intelligence Artificial Intelligence AI 138

Towards AI

AUGUST 16, 2023

AI engineering is the discipline focused on developing tools, systems, and processes to enable the application of artificial intelligence in real-world contexts, which combines the principles of systems engineering, software engineering, and computer science to create AI systems.

AI 98

AI AI Machine Learning Machine Learning 98

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. It combines elements of statistics, mathematics, computer science, and domain expertise to extract meaningful patterns from large volumes of data.

Data Analysis 52

Data Analysis Data Analysis Data Science Exploratory Data Analysis 52

Dataconomy

AUGUST 16, 2023

Exploratory Data Analysis (EDA) : Like intrepid explorers wandering through an uncharted forest, data scientists traverse the terrain of data with curiosity. Suppose you have a bachelor’s degree in a related field, such as computer science, mathematics, or statistics.

Data Scientist 172

Data Scientist Data Science Machine Learning Machine Learning 172

Pickl AI

JULY 25, 2023

Exploratory Data Analysis (EDA) EDA is a crucial step where Data Scientists visually explore and analyze the data to identify patterns, trends, and potential correlations. in fields like Computer Science, Statistics, or related disciplines. Most Data Scientists hold advanced degrees (Master’s or Ph.D.)

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Mlearning.ai

MAY 23, 2023

This includes skills in data cleaning, preprocessing, transformation, and exploratory data analysis (EDA). Blind 75 LeetCode Questions - LeetCode Discuss Data Manipulation and Analysis Proficiency in working with data is crucial. Familiarity with libraries like pandas, NumPy, and SQL for data handling is important. in these fields.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 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. Computer Vision This is a field of computer science that deals with the extraction of information from images and videos.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52