Snowflake

JANUARY 23, 2024

Many developers and enterprises looking to use machine learning (ML) to generate insights from data get bogged down by operational complexity. The platform includes Snowpark ML to train machine learning models and run inference using Snowflake’s compute power.

Machine Learning 120

Machine Learning Metadata Python Telecommunication 120

AltexSoft

MARCH 22, 2022

Meanwhile, synthetic data can be a good alternative to rely on when it comes to training machine learning models. Synthetic data is artificial data that mimics real-world observations and is used to train machine learning models in those cases when actual data is difficult or expensive to get. What is synthetic data?

Machine Learning 52

Machine Learning IT Medical Insurance 52

Knowledge Hut

NOVEMBER 27, 2023

Developing technical skills is essential, starting with foundational knowledge in mathematics, including calculus and linear algebra, which underpin machine learning and deep learning concepts. Through the article, we will learn what data scientists do, and how to transits to a data science career path.

Data Science 52

Data Science Datasets Machine Learning Algorithm 52

ThoughtSpot

JANUARY 31, 2024

Recent advances in AI and machine learning are not only changing the way we interact with data, but also pushing those of us who build analytics and BI platforms to think critically about how our products can best serve our customers moving forward. It’s an exciting time to be in the world of data and business intelligence.

BI 88

BI Business Intelligence Machine Learning Data 88

Cloudera

DECEMBER 17, 2020

When it comes to machine learning (ML) in the enterprise, there are many misconceptions about what it actually takes to effectively employ machine learning models and scale AI use cases. Accelerating the Full Machine Learning Lifecycle With Cloudera Data Platform. Laurence Goasduff, Gartner.

Machine Learning 81

Machine Learning Data Science Data Pipeline Raw Data 81

U-Next

SEPTEMBER 19, 2022

If you are a Data Scientist, you’re well aware of the numerous SQL statements, excel formulas, functions, and algorithms in your profession. Read this to uncover the best references for Python, SQL, Machine Learning, seaborn and more. Machine Learning. Supervised Learning Algorithm Cheat sheet.

Data Science 40

Data Science Algorithm Machine Learning SQL 40

Knowledge Hut

NOVEMBER 28, 2023

AI and Machine Learning AI and machine learning, along with application and knowledge of algorithms, continues to be an important part of data engineer skills. Knowledge of distributed systems helps you understand consensus algorithms and coordinating protocols.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52