AWS Machine Learning Blog

SEPTEMBER 12, 2024

Organizations that want to build their own models or want granular control are choosing Amazon Web Services (AWS) because we are helping customers use the cloud more efficiently and leverage more powerful, price-performant AWS capabilities such as petabyte-scale networking capability, hyperscale clustering, and the right tools to help you build.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU. Around this time, industry observers reported NVIDIA’s strategy pivoting from its traditional gaming and graphics focus to moving into scientific computing and data analytics.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Data Science Fundamentals Going beyond knowing machine learning as a core skill, knowing programming and computer science basics will show that you have a solid foundation in the field. Computer science, math, statistics, programming, and software development are all skills required in NLP projects.

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Deep Learning Deep Learning Data Science Natural Language Processing 111

Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Cloud Computing : Utilizing cloud services for data storage and processing, often covering platforms such as AWS, Azure, and Google Cloud.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

DECEMBER 25, 2024

Data Science is an interdisciplinary field that focuses on extracting knowledge and insights from structured and unstructured data. It combines statistics, mathematics, computer science, and domain expertise to solve complex problems. In contrast, Data Science demands a stronger technical foundation. Masters or Ph.D.

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Data Science Analytics Analytics Data Scientist 52

O'Reilly Media

OCTOBER 19, 2021

Cloud-based data warehouses, such as Snowflake , AWS’ portfolio of databases like RDS, Redshift or Aurora , or an S3-based data lake , are a great match to ML use cases since they tend to be much more scalable than traditional databases, both in terms of the data set sizes as well as query patterns. Software Development Layers.

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ML ML Data Scientist AWS 145

ODSC - Open Data Science

APRIL 4, 2025

To get started with LLM-automated labeling, select a foundational model from OpenAI, AWS Bedrock, Microsoft Azure, HuggingFace, or other providers available in Datasaurs LLM Labs. About the Author on LLM-Automated Labeling Ivan Lee graduated with a Computer Science B.S.

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Natural Language Processing Machine Learning Machine Learning Artificial Intelligence 52

Pickl AI

OCTOBER 3, 2024

They evaluate business requirements and decide on the best cloud platform and architecture, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud. Cloud Platforms Familiarity with major cloud platforms such as AWS, Microsoft Azure, and Google Cloud is necessary.

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Cloud Computing Azure AWS Computer Science 52

Pickl AI

APRIL 21, 2025

Exploring the Ocean If Big Data is the ocean, Data Science is the multifaceted discipline of extracting knowledge and insights from data, whether it’s big or small. It’s an interdisciplinary field that blends statistics, computer science, and domain expertise to understand phenomena through data analysis.

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Big Data Big Data Data Science Machine Learning 52

Mlearning.ai

MAY 23, 2023

Check out this course to build your skillset in Seaborn —  [link] Big Data Technologies Familiarity with big data technologies like Apache Hadoop, Apache Spark, or distributed computing frameworks is becoming increasingly important as the volume and complexity of data continue to grow. in these fields.

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Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

JULY 30, 2024

Summary: Bioinformatics Scientists apply computational methods to biological data, using tools like sequence analysis, gene expression analysis, and protein structure prediction to drive biological innovation and improve healthcare outcomes. Cloud Computing Cloud computing involves using remote servers to store and process large datasets.

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Cloud Computing Machine Learning Machine Learning Power BI 52

Data Science 101

AUGUST 30, 2023

Career advice was not especially good at that time (or I didn’t know what questions to ask) so I had no idea what jobs or careers were out there, but I knew that computers were interesting to me. At the time computer science was presented as a very theoretical degree so I plumped for electronics which seemed more practical.

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Computer Science Computer Science Azure AWS 111

ODSC - Open Data Science

MAY 1, 2023

Hagay Lupesko VP Engineering, MosaicML | Expert in Generative AI Training and Inference, Former Leader at Meta AI and AWS In his role as VP of Engineering, Hagay Lupesko focuses on making generative AI training and inference efficient, fast, and accessible.

Data Science 52

Data Science Machine Learning Machine Learning Azure 52

PyImageSearch

OCTOBER 16, 2023

AWS , GCP , Azure , DigitalOcean , etc.) Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Or requires a degree in computer science? You can use Docker to create, handle, manipulate, and run containers on your system locally. That’s not the case.

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Deep Learning Deep Learning Machine Learning Machine Learning 130

Pickl AI

JANUARY 13, 2025

Key Skills Experience with cloud platforms (AWS, Azure). Cloud Computing Skills Familiarize yourself with cloud platforms like AWS , Google Cloud , or Microsoft Azure to manage infrastructure and deploy AI models efficiently. They ensure that AI systems are scalable and efficient.

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AI AI Machine Learning Machine Learning 52

Pickl AI

JULY 25, 2023

Cloud Platforms: AWS, Azure, Google Cloud, etc. in fields like Computer Science, Statistics, or related disciplines. On the other hand, Data Engineers often have a background in Computer Science, Software Engineering, or a related field, but a Bachelor’s degree may suffice in some cases.

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Data Engineering Data Engineering Data Engineer Data Engineering 52

ODSC - Open Data Science

JANUARY 7, 2025

Just as a writer needs to know core skills like sentence structure and grammar, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and soon. Theyre looking for people who know all related skills, and have studied computer science and software engineering.

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Data Scientist Data Science Machine Learning Machine Learning 40

Flipboard

OCTOBER 9, 2023

AWS , GCP , Azure , DigitalOcean , etc.) Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Or requires a degree in computer science? You can use Docker to create, handle, manipulate, and run containers on your system locally. That’s not the case.

Machine Learning 153

Machine Learning Machine Learning Deep Learning Deep Learning 153

Pickl AI

JULY 12, 2024

Natural Language Processing (NLP) This is a field of computer science that deals with the interaction between computers and human language. Computer Vision This is a field of computer science that deals with the extraction of information from images and videos.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Pickl AI

MAY 17, 2023

Learning the use of cloud platforms like AWS, Microsoft Azure and Google Cloud can benefit your career as a Data Scientist. Get Experience, Practice and Meet Fellow Data Scientists With hands-on experience in using different tools of Data Science and applying your skills requires immense practice through projects and assignments.

Data Scientist 52

Data Scientist Data Science Data Wrangling Python 52

Pickl AI

APRIL 2, 2024

Data science is the process of extracting the valuable minerals – the insights – that can transform your business. It’s a blend of statistics, computer science, and domain knowledge used to extract knowledge and create solutions from data. Data science for business leaders isn’t about becoming a coding pro.

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Data Science Machine Learning Machine Learning Predictive Analytics 52

Dataconomy

MARCH 13, 2023

Here are some of the essential tools and platforms that you need to consider: Cloud platforms Cloud platforms such as AWS , Google Cloud , and Microsoft Azure provide a range of services and tools that make it easier to develop, deploy, and manage AI applications.

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Artificial Intelligence Artificial Intelligence Natural Language Processing Algorithm 98

Pickl AI

SEPTEMBER 18, 2024

Most professionals in this field start with a bachelor’s degree in computer science, Data Science, mathematics, or a related discipline. Academic Background A strong academic foundation is essential for anyone aspiring to become a Machine Learning Engineer. accuracy, precision, recall, F1-score).

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Machine Learning Machine Learning Algorithm Natural Language Processing 52

The MLOps Blog

OCTOBER 3, 2023

Mikiko Bazeley: Most people are really surprised to hear that my background in college was not computer science. For example, you can use BigQuery , AWS , or Azure. How awful are they?” How did you manage to jump from a more analytical, scientific type of role to a more engineering one?

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ML ML Data Scientist Machine Learning 52