Towards AI

AUGUST 25, 2023

In ML, there are a variety of algorithms that can help solve problems. In graduate school, a course in AI will usually have a quick review of the core ML concepts (covered in a previous course) and then cover searching algorithms, game theory, Bayesian Networks, Markov Decision Processes (MDP), reinforcement learning, and more.

Machine Learning 98

Machine Learning Machine Learning AI AI 98

Pickl AI

NOVEMBER 4, 2024

Its versatility enables it to be applied in various domains, including web development, automation, Data Analysis, and more. Popularity of Python in Data Science Python dominates the programming landscape, holding a worldwide market share of 17.7% in 2022, according to the PYPL Index.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

ODSC - Open Data Science

MARCH 18, 2025

Sinan Ozdemir, AI & LLM Expert | Author | Founder + CTO of LoopGenius A former Director of Data Science at Directly and AI advisor to Tola Capital, he brings deep expertise in LLMs, machine learning, and algorithm development.

Data Science 64

Data Science Machine Learning Machine Learning Data Scientist 64

ODSC - Open Data Science

APRIL 3, 2023

Skills like effective verbal and written communication will help back up the numbers, while data visualization (specific frameworks in the next section) can help you tell a complete story. Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

Mlearning.ai

FEBRUARY 24, 2023

Unfortunately, we have more weight data than production data which means that the usability of the weight data is bound by the that of the production data. Also, if you look at the last gap, you can clearly see the separation between the first and the second harvest of 2022.

ML 52

ML ML Data Wrangling Algorithm 52

Iguazio

OCTOBER 20, 2024

In 2022, “AI everywhere” has enabled zero marginal cost of content generation. This starts from data wrangling and constructing data pipelines all the way to monitoring models and conducting risk reviews using "policy as code". Finally, the LLM answers questions about payment methods.

AI 96

AI AI Database Data Wrangling 96