ODSC - Open Data Science

FEBRUARY 2, 2023

The role of a data scientist is in demand and 2023 will be no exception. To get a better grip on those changes we reviewed over 25,000 data scientist job descriptions from that past year to find out what employers are looking for in 2023. Data Science Of course, a data scientist should know data science!

Data Science 98

Data Science Data Scientist Big Data Machine Learning 98

O'Reilly Media

JANUARY 17, 2023

Because if companies use code to automate business rules, they use ML/AI to automate decisions. Given that, what would you say is the job of a data scientist (or ML engineer, or any other such title)? But first, let’s talk about the typical ML workflow. I’ll share my answer in a bit.

Automation 145

Automation Robotics Data Scientist ML 145

ODSC - Open Data Science

FEBRUARY 24, 2023

There are many well-known libraries and platforms for data analysis such as Pandas and Tableau, in addition to analytical databases like ClickHouse, MariaDB, Apache Druid, Apache Pinot, Google BigQuery, Amazon RedShift, etc. These tools will help make your initial data exploration process easy.

Data Analysis 126

Data Analysis Data Science Business Intelligence Python 126

Towards AI

FEBRUARY 15, 2024

AI Engineers: Your Definitive Career Roadmap Become a professional certified AI engineer by enrolling in the best AI ML Engineer certifications that help you earn skills to get the highest-paying job. AI engineers usually work in an office environment as part of a team.

AI Engineer 111

AI Engineer Software Engineer Artificial Intelligence Artificial Intelligence 111

ODSC - Open Data Science

FEBRUARY 13, 2025

Attendees left with a clear understanding of how AI can enhance data analysis workflows and improve decision-making in business intelligence applications. Cloning NotebookLM with Open WeightsModels Niels Bantilan, Chief ML Engineer atUnion.AI

Large Language Models 52

Large Language Models AI AI Automation 52

AWS Machine Learning Blog

SEPTEMBER 18, 2023

This post shows how Arup partnered with AWS to perform earth observation analysis with Amazon SageMaker geospatial capabilities to unlock UHI insights from satellite imagery. SageMaker geospatial capabilities make it easy for data scientists and machine learning (ML) engineers to build, train, and deploy models using geospatial data.

Data Scientist 123

Data Scientist ML Machine Learning ML Engineer 123

AWS Machine Learning Blog

FEBRUARY 7, 2025

In this post, we assign the functions in terms of the ML lifecycle to each role as follows: Lead data scientist Provision accounts for ML development teams, govern access to the accounts and resources, and promote standardized model development and approval process to eliminate repeated engineering effort.

ML 65

ML Data Scientist ML Engineer Data Science 65

ODSC - Open Data Science

FEBRUARY 20, 2023

We’ll also have a series of introductory sessions on AI literacy, intros to programming, etc.

Data Science 96

Data Science Machine Learning ML Engineer Python 96

deepsense.ai

APRIL 18, 2023

As it does every year, the event is focused on the exchange of experiences between machine learning practitioners and, most importantly, an effective update of knowledge in the rapidly changing discipline of data analysis. As a part of the conference deepsense.ai

Machine Learning 52

Machine Learning Data Scientist Large Language Models ML Engineer 52

AWS Machine Learning Blog

APRIL 7, 2025

This not only speeds up content production but also allows human writers to focus on more creative and strategic tasks. - **Data Analysis and Summarization**: These models can quickly analyze large volumes of data, extract relevant information, and summarize findings in a readable format. Choose Delete again to confirm.

Machine Learning 89

Machine Learning Large Language Models Python Automation 89

Pickl AI

JANUARY 30, 2023

Since the rise of Data Science, it has found several applications across different industrial domains. However, the programming languages that work at the core of Data Science play a significant role in it. Hence for an individual who wants to excel as a data scientist, learning Python is a must.

Python 97

Python DevOps Machine Learning Data Science 97

Heartbeat

OCTOBER 23, 2023

Revolutionizing Healthcare through Data Science and Machine Learning Image by Cai Fang on Unsplash Introduction In the digital transformation era, healthcare is experiencing a paradigm shift driven by integrating data science, machine learning, and information technology.

Data Scientist 52

Data Scientist Machine Learning Big Data Algorithm 52

Pickl AI

JANUARY 29, 2024

ML focuses on enabling computers to learn from data and improve performance over time without explicit programming. Key Components In Data Science, key components include data cleaning, Exploratory Data Analysis, and model building using statistical techniques. billion in 2022 to a remarkable USD 484.17

Data Science 52

Data Science ML Machine Learning Artificial Intelligence 52

AWS Machine Learning Blog

MARCH 30, 2023

Therefore, it’s no surprise that determining the proficiency of goalkeepers in preventing the ball from entering the net is considered one of the most difficult tasks in football data analysis. The result is a machine learning (ML)-powered insight that allows fans to easily evaluate and compare the goalkeepers’ proficiencies.

Machine Learning 92

Machine Learning Data Scientist ML Data Science 92

Pickl AI

AUGUST 28, 2024

Introduction In the rapidly evolving landscape of Machine Learning , Google Cloud’s Vertex AI stands out as a unified platform designed to streamline the entire Machine Learning (ML) workflow. This unified approach enables seamless collaboration among data scientists, data engineers, and ML engineers.

Machine Learning 52

Machine Learning ML Engineer ML Automation 52

AWS Machine Learning Blog

MARCH 1, 2023

These are all implemented as a single ML pipeline using Amazon SageMaker Pipelines , and all the ML trainings are managed via Amazon SageMaker Experiments. ML engineers no longer need to manage this training metadata separately. Muhyun Kim is a data scientist at Amazon Machine Learning Solutions Lab.

Automation 101

Automation ETL Data Drift ML 101

ODSC - Open Data Science

JULY 19, 2023

Machine Learning Operations (MLOps) can significantly accelerate how data scientists and ML engineers meet organizational needs. A well-implemented MLOps process not only expedites the transition from testing to production but also offers ownership, lineage, and historical data about ML artifacts used within the team.

Machine Learning 52

Machine Learning Data Drift Data Science Data Scientist 52

Pickl AI

NOVEMBER 28, 2024

Fundamental Programming Skills Strong programming skills are essential for success in ML. This section will highlight the critical programming languages and concepts ML engineers should master, including Python, R , and C++, and an understanding of data structures and algorithms. during the forecast period.

Machine Learning 52

Machine Learning Neural Network ML Engineer Algorithm 52

AWS Machine Learning Blog

APRIL 12, 2023

To be able to iterate quickly, we needed a compute environment that was familiar to our data scientists and ML engineers. He has a background in physics, machine learning, and data analysis, and previously worked at NASA’s Jet Propulsion Laboratory.

Neural Network 83

Neural Network Machine Learning ML ML Engineer 83

The MLOps Blog

OCTOBER 20, 2023

Nevertheless, many data scientists will agree that they can be really valuable – if used well. And that’s what we’re going to focus on in this article, which is the second in my series on Software Patterns for Data Science & ML Engineering. Data on its own is not sufficient for a cohesive story.

Data Scientist 52

Data Scientist Python Explainability ETL 52

Mlearning.ai

APRIL 17, 2023

A step-by-step error analysis for a classification problem, including data analysis and recommendations When it comes to artificial intelligence interviews, one of the most important questions is, “What are the phases of an AI model’s life cycle?” In this dataset, the proportion of not churned customers is 73%.

Machine Learning 52

Machine Learning Categorization Data Analysis Neural Network 52

Pickl AI

JUNE 6, 2024

Summary: Data scrubbing is identifying and removing inconsistencies, errors, and irregularities from a dataset. It ensures your data is accurate, consistent, and reliable – the cornerstone for effective data analysis and decision-making. Overview Did you know that dirty data costs businesses in the US an estimated $3.1

Machine Learning 40

Machine Learning Algorithm Business Intelligence Data Quality 40

Viso.ai

DECEMBER 21, 2023

Each of these individuals serves as an inspiration for aspiring AI and ML engineers breaking into the field. A principal data scientist to several companies, he’s been recognized by Time magazine and Fast Company as one of the most influential and creative people in the field. million students online.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 52

The MLOps Blog

MAY 9, 2023

One of the most prevalent complaints we hear from ML engineers in the community is how costly and error-prone it is to manually go through the ML workflow of building and deploying models. Building end-to-end machine learning pipelines lets ML engineers build once, rerun, and reuse many times.

ML 98

ML Machine Learning Metadata Data Science 98

AWS Machine Learning Blog

NOVEMBER 18, 2024

Large language models (LLMs) can help uncover insights from structured data such as a relational database management system (RDBMS) by generating complex SQL queries from natural language questions, making data analysis accessible to users of all skill levels and empowering organizations to make data-driven decisions faster than ever before.

LLM 101

LLM Generative AI Data Science Data Scientist 101