Smart Data Collective

JUNE 4, 2021

Data science is analyzing and predicting data, It is an emerging field. Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. Since the field covers such a vast array of services, data scientists can find a ton of great opportunities in their field.

Data Science 104

Data Science Exploratory Data Analysis Machine Learning Machine Learning 104

Data Science Blog

FEBRUARY 23, 2023

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves.

Supervised Learning 264

Supervised Learning Machine Learning Machine Learning Deep Learning 264

Pickl AI

AUGUST 1, 2023

Topic Modeling Topic modeling is a text-mining technique used to uncover underlying themes or topics within a large collection of documents. It helps in discovering hidden patterns and organizing text data into meaningful clusters. Cluster similar documents based on their content and explore relationships between topics.

Data Analysis 52

Data Analysis Data Analysis Python Support Vector Machines 52

Snorkel AI

OCTOBER 6, 2023

But the most important challenges center on data. When it comes to AI, your proprietary data is your moat. Using your data properly creates a competitive advantage no one can take away. The generalized nature of their training data and the semi-random nature of their outputs create unignorable shortfalls in accuracy.

Data Science 69

Data Science Supervised Learning Data Mining Data Mining 69

Snorkel AI

OCTOBER 6, 2023

But the most important challenges center on data. When it comes to AI, your proprietary data is your moat. Using your data properly creates a competitive advantage no one can take away. The generalized nature of their training data and the semi-random nature of their outputs create unignorable shortfalls in accuracy.

Data Science 59

Data Science Supervised Learning Data Mining Data Mining 59

Pickl AI

JULY 17, 2023

Machine Learning is a subset of artificial intelligence (AI) that focuses on developing models and algorithms that train the machine to think and work like a human. It entails developing computer programs that can improve themselves on their own based on expertise or data. It can be either agglomerative or divisive.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Clustering 52