Smart Data Collective

JUNE 4, 2021

Since the field covers such a vast array of services, data scientists can find a ton of great opportunities in their field. Data scientists use algorithms for creating data models. These data models predict outcomes of new data. Data science is one of the highest-paid jobs of the 21st century.

Data Science 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

Data Science Dojo

AUGUST 28, 2023

The scope of LLMOps within machine learning projects can vary widely, tailored to the specific needs of each project. Some projects may necessitate a comprehensive LLMOps approach, spanning tasks from data preparation to pipeline production. Model fine-tuning Model training: Once the data is prepared, the LLM is trained.

Exploratory Data Analysis 195

Exploratory Data Analysis Data Preparation Machine Learning Machine Learning 195

Pickl AI

JUNE 5, 2025

Key Responsibilities of a Data Scientist in India While the core responsibilities align with global standards, Indian data scientists often face unique challenges and opportunities shaped by the local market: Data Acquisition and Cleaning: Extracting data from diverse sources including legacy systems, cloud platforms, and third-party APIs.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

DataRobot

DECEMBER 16, 2021

and train models with a single click of a button. Advanced users will appreciate tunable parameters and full access to configuring how DataRobot processes data and builds models with composable ML. Explanations around data, models , and blueprints are extensive throughout the platform so you’ll always understand your results.

AI 98

AI AI Exploratory Data Analysis Clustering 98

Heartbeat

MARCH 21, 2023

In the context of time series, model monitoring is particularly important as time series data can be highly dynamic because change is definite over time in ways that can impact the accuracy of the model. Comet Comet is a platform for experimentation that enables you to monitor your machine-learning experiments.

Exploratory Data Analysis 59

Exploratory Data Analysis EDA Machine Learning Machine Learning 59

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. Big Data Technologies: Hadoop, Spark, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Mlearning.ai

JUNE 16, 2023

It also can minimize the risks of miscommunication in the process since the analyst and customer can align on the prototype before proceeding to the build phase Design: DALL-E, another deep learning model developed by OpenAI to generate digital images from natural language descriptions, can contribute to the design of applications.

AI 52

AI AI Data Analysis Data Analysis 52