Mlearning.ai

FEBRUARY 9, 2023

Working as a Data Scientist — Expectation versus Reality! 11 key differences in 2023 Photo by Jan Tinneberg on Unsplash Working in Data Science and Machine Learning (ML) professions can be a lot different from the expectation of it. You could be working entirely on data analytics under a Data Scientist job title.

Data Scientist 52

Data Scientist Data Science ML Machine Learning 52

DataRobot Blog

SEPTEMBER 13, 2022

According to IDC , 83% of CEOs want their organizations to be more data-driven. Data scientists could be your key to unlocking the potential of the Information Revolution—but what do data scientists do? What Do Data Scientists Do? Data scientists drive business outcomes.

Data Scientist 52

Data Scientist Automation ML Machine Learning 52

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

AWS Machine Learning Blog

FEBRUARY 13, 2024

Let’s demystify this using the following personas and a real-world analogy: Data and ML engineers (owners and producers) – They lay the groundwork by feeding data into the feature store Data scientists (consumers) – They extract and utilize this data to craft their models Data engineers serve as architects sketching the initial blueprint.

ML 130

ML Machine Learning ML Engineer Data Scientist 130

The MLOps Blog

JUNE 27, 2023

Some popular end-to-end MLOps platforms in 2023 Amazon SageMaker Amazon SageMaker provides a unified interface for data preprocessing, model training, and experimentation, allowing data scientists to collaborate and share code easily. A self-service infrastructure portal for infrastructure and governance.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

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 66

ML Data Scientist ML Engineer Data Science 66

AWS Machine Learning Blog

APRIL 7, 2025

Conclusion In this post, we explored how SageMaker JumpStart empowers data scientists and ML engineers to discover, access, and deploy a wide range of pre-trained FMs for inference, including Metas most advanced and capable models to date. Search for the embedding and text generation endpoints.

Machine Learning 89

Machine Learning Large Language Models Python Automation 89

AWS Machine Learning Blog

JANUARY 6, 2023

The vendors evaluated for this MarketScape offer various software tools needed to support end-to-end machine learning (ML) model development, including data preparation, model building and training, model operation, evaluation, deployment, and monitoring. AI life-cycle tools are essential to productize AI/ML solutions.

Data Scientist 88

Data Scientist ML Machine Learning Explainability 88

AWS Machine Learning Blog

AUGUST 31, 2023

Implementing these guardrails is getting harder for enterprises because the ML processes and activities within enterprises are becoming more complex due to the inclusion of deeply involved processes that require contributions from multiple stakeholders and personas. Ram Vittal is a Principal ML Solutions Architect at AWS.

ML 121

ML Data Scientist Machine Learning Data Science 121

Pickl AI

APRIL 19, 2023

Different industries from education, healthcare to marketing, retail and ecommerce require Machine Learning Engineers. Job market will experience a rise of 13% by 2026 for ML Engineers Why is Machine Learning Important? What Does a Machine Learning Engineer Do? Accordingly, an entry-level ML engineer will earn around 5.1

Machine Learning 52

Machine Learning ML Engineer Data Scientist ML 52

AWS Machine Learning Blog

NOVEMBER 14, 2024

About the authors Ram Vittal is a Principal ML Solutions Architect at AWS. He is passionate about building secure and scalable AI/ML and big data solutions to help enterprise customers with their cloud adoption and optimization journey to improve their business outcomes.

ML 99

ML Machine Learning Auto-complete Auto-classification 99

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

AWS Machine Learning Blog

FEBRUARY 29, 2024

Configuration files (YAML and JSON) allow ML practitioners to specify undifferentiated code for orchestrating training pipelines using declarative syntax. The following are the key benefits of this solution: Automation – The entire ML workflow, from data preprocessing to model registry, is orchestrated with no manual intervention.

Automation 122

Automation Python Machine Learning ML 122

Pickl AI

JANUARY 30, 2023

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. The role of Python is not just limited to Data Science. In fact, Python finds multiple applications.

Python 97

Python DevOps Machine Learning Data Science 97

AWS Machine Learning Blog

JUNE 26, 2023

SageMaker Role Manager offers predefined personas and ML activities combined to streamline your permission generation process, allowing your ML practitioners to perform their responsibilities with the least privilege permissions. It comes with a set of predefined policy templates for different personas and ML activities.

ML 90

ML Data Scientist Machine Learning Automation 90

AWS Machine Learning Blog

MARCH 30, 2023

The new Bundesliga Match Fact is the result of an in-depth analysis by a team of football experts and data scientists from the Bundesliga and AWS. During live matches, ball recovery times are also provided to commentators through the data story finder and visually shown to fans at key moments in broadcast.

Machine Learning 93

Machine Learning Data Scientist Data Science Metadata 93

AWS Machine Learning Blog

APRIL 19, 2023

Businesses are increasingly using machine learning (ML) to make near-real-time decisions, such as placing an ad, assigning a driver, recommending a product, or even dynamically pricing products and services. ML models often require features from multiple feature groups. Each one can have dozens, hundreds, or even thousands of features.

ML 94

ML Data Scientist Big Data Machine Learning 94

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

OCTOBER 2, 2024

However, a more holistic organizational approach is crucial because generative AI practitioners, data scientists, or developers can potentially use a wide range of technologies, models, and datasets to circumvent the established controls. Tanvi Singhal is a Data Scientist within AWS Professional Services.

Generative AI 125

Generative AI Data Ingestion AI AI 125

Flipboard

MARCH 7, 2023

The main benefit is that a data scientist can choose which script to run to customize the container with new packages. There are also limited options for ad hoc script customization by users, such as data scientists or ML engineers, due to permissions of the user profile execution role.

Python 123

Python Data Science Data Scientist ML 123

AWS Machine Learning Blog

MARCH 30, 2023

About the Authors Javier Poveda-Panter is a Senior Data Scientist for EMEA sports customers within the AWS Professional Services team. He enables customers in the area of spectator sports to innovate and capitalize on their data, delivering high-quality user and fan experiences through machine learning and data science.

Machine Learning 92

Machine Learning Data Scientist ML Data Science 92

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

Snorkel AI

MAY 24, 2023

chief data scientist, a role he held under President Barack Obama from 2015 to 2017. Bush, and has co-authored several books on data science. Rebekah Westerlind , one of the founding engineers at Snorkel, currently serves as a tech lead/manager on the Snorkel ML engineering team. Learn more, live!

Machine Learning 52

Machine Learning Data Scientist Computer Vision ML 52

Snorkel AI

MAY 24, 2023

chief data scientist, a role he held under President Barack Obama from 2015 to 2017. Bush, and has co-authored several books on data science. Rebekah Westerlind , one of the founding engineers at Snorkel, currently serves as a tech lead/manager on the Snorkel ML engineering team. Learn more, live!

Machine Learning 52

Machine Learning Data Scientist Computer Vision ML 52

Pickl AI

JULY 14, 2023

Big Data and Deep Learning (2010s-2020s): The availability of massive amounts of data and increased computational power led to the rise of Big Data analytics. Deep Learning, a subfield of ML, gained attention with the development of deep neural networks. They promote and enhance the state of the art in AI.

Neural Network 52

Neural Network Software Engineer Artificial Intelligence Artificial Intelligence 52

AWS Machine Learning Blog

AUGUST 31, 2023

Implementing these guardrails is getting harder for enterprises because the ML processes and activities within enterprises are becoming more complex due to the inclusion of deeply involved processes that require contributions from multiple stakeholders and personas. Ram Vittal is a Principal ML Solutions Architect at AWS.

ML 52

ML Data Scientist Machine Learning Data Science 52

AWS Machine Learning Blog

NOVEMBER 9, 2023

Machine Learning Engineer with AWS Professional Services. She is passionate about developing, deploying, and explaining AI/ ML solutions across various domains. Prior to this role, she led multiple initiatives as a data scientist and ML engineer with top global firms in the financial and retail space.

Data Drift 125

Data Drift Auto-complete ML Automation 125

Pickl AI

JUNE 6, 2024

The Applications of a Clean Sweep: Where Data Scrubbing Shines Data scrubbing isn’t a niche operation reserved for data scientists in ivory towers. Machine Learning (ML) Machine Learning algorithms are like powerful engines, but they rely on clean fuel – clean data – to function effectively.

Machine Learning 40

Machine Learning Algorithm Business Intelligence Data Quality 40

Snorkel AI

JULY 5, 2023

We thought we’d structure this more as a conversation where we walk you through some of our thinking around some of the most common themes in data centricity in applied AI. Is more data always better? And the important thing here is really the predictive signal in the data. Maybe I’ll start us off here Robert?

Large Language Models 52

Large Language Models Metadata Machine Learning AI 52

Snorkel AI

JULY 5, 2023

We thought we’d structure this more as a conversation where we walk you through some of our thinking around some of the most common themes in data centricity in applied AI. Is more data always better? And the important thing here is really the predictive signal in the data. Maybe I’ll start us off here Robert?

Large Language Models 52

Large Language Models Metadata Machine Learning AI 52

AWS Machine Learning Blog

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Generative AI 139

Generative AI ML LLM AI 139

AWS Machine Learning Blog

SEPTEMBER 26, 2024

Amazon SageMaker Studio provides a single web-based visual interface where different personas like data scientists, machine learning (ML) engineers, and developers can build, train, debug, deploy, and monitor their ML models. Vijay Velpula is a Data Architect with AWS Professional Services.

ML 118

ML ML Engineer Data Scientist Big Data 118

The MLOps Blog

AUGUST 11, 2023

Getting a workflow ready which takes your data from its raw form to predictions while maintaining responsiveness and flexibility is the real deal. At that point, the Data Scientists or ML Engineers become curious and start looking for such implementations.

ML 52

ML Machine Learning Data Ingestion Deep Learning 52

AWS Machine Learning Blog

DECEMBER 17, 2024

Amazon SageMaker helps data scientists and machine learning (ML) engineers build FMs from scratch, evaluate and customize FMs with advanced techniques, and deploy FMs with fine-grain controls for generative AI use cases that have stringent requirements on accuracy, latency, and cost. Connect with Hin Yee on LinkedIn.

LLM 98

LLM Prompt Engineer Prompt Engineering Generative AI 98

AWS Machine Learning Blog

NOVEMBER 13, 2024

With the unification of SageMaker Model Cards and SageMaker Model Registry, architects, data scientists, ML engineers, or platform engineers (depending on the organization’s hierarchy) can now seamlessly register ML model versions early in the development lifecycle, including essential business details and technical metadata.

Metadata 112

Metadata ML Software Engineer Machine Learning 112