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.

ML 140

ML ML Data Scientist AWS 140

O'Reilly Media

NOVEMBER 26, 2024

Beyond the out-of-control cost, there is evidence that degrees do not map to the skills needed in today’s job market, and there’s an increasing disconnect—particularly in computer science—between the skills employers want and the skills colleges teach.

Cloud Computing 80

Cloud Computing AWS Azure Machine Learning 80

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.

Cloud Computing 52

Cloud Computing Azure AWS Computer Science 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.

Data Science 52

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.

Cloud Computing 52

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.

Computer Science 111

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

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.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 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.

Deep Learning 113

Deep Learning Deep Learning Machine Learning Machine Learning 113

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 SQL 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.

Artificial Intelligence 98

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).

Machine Learning 52

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?

ML 52

ML ML Data Scientist Machine Learning 52

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.

AWS 101

AWS AI AI Clustering 101

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.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52