ODSC - Open Data Science

MAY 31, 2023

The combination of data streaming and machine learning (ML) enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache Kafka ecosystem. Editor’s note: Kai Waehner is a speaker for ODSC Europe this June.

Data Lakes 131

Data Lakes Machine Learning Machine Learning Apache Kafka 131

Dataconomy

JULY 24, 2023

They use these insights to predict future trends, optimize operations, and influence strategic decisions. It involves developing algorithms that can learn from and make predictions or decisions based on data. Machine learning Machine learning is a key part of data science. Specializing can make you stand out from other candidates.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

Pickl AI

NOVEMBER 28, 2024

Introduction Machine Learning ( ML ) is revolutionising industries, from healthcare and finance to retail and manufacturing. As businesses increasingly rely on ML to gain insights and improve decision-making, the demand for skilled professionals surges. This growth signifies Python’s increasing role in ML and related fields.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

ODSC - Open Data Science

OCTOBER 7, 2024

Techniques such as parallel data processing and distributed data storage systems, like Hadoop or cloud-native solutions, allow data scientists to ingest and store large volumes of data effectively. Preprocessing might include handling missing values, scaling data, or encoding categorical variables.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

IBM Journey to AI blog

JULY 6, 2023

Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on learning from what the data science comes up with. Some examples of data science use cases include: An international bank uses ML-powered credit risk models to deliver faster loans over a mobile app. What is machine learning?

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Pickl AI

APRIL 28, 2023

Here is the tabular representation of the same: Technical Skills Non-technical Skills Programming Languages: Python, SQL, R Good written and oral communication Data Analysis: Pandas, Matplotlib, Numpy, Seaborn Ability to work in a team ML Algorithms: Regression Classification, Decision Trees, Regression Analysis Problem-solving capability Big Data: (..)

Data Scientist 52

Data Scientist Data Science Hypothesis Testing Decision Trees 52

ODSC - Open Data Science

JANUARY 7, 2025

As MLOps become more relevant to ML demand for strong software architecture skills will increase aswell. Machine Learning As machine learning is one of the most notable disciplines under data science, most employers are looking to build a team to work on ML fundamentals like algorithms, automation, and so on.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40