Machine Learning Engineering

Price: $39.49
(as of Dec 15,2024 20:50:11 UTC – Details)

Publisher ‏ : ‎ True Positive Inc. (September 5, 2020)
Language ‏ : ‎ English
Paperback ‏ : ‎ 310 pages
ISBN-10 ‏ : ‎ 1999579577
ISBN-13 ‏ : ‎ 978-1999579579
Item Weight ‏ : ‎ 1.3 pounds
Dimensions ‏ : ‎ 7.5 x 0.73 x 9.25 inches

Machine Learning Engineering: Bridging the Gap Between Data Science and Software Engineering

Machine learning engineering is a rapidly growing field that combines the principles of data science and software engineering to develop scalable and reliable machine learning models. It involves building, deploying, and maintaining machine learning systems that can analyze and make predictions from large datasets.

In machine learning engineering, professionals work on developing algorithms, creating data pipelines, and implementing models that can effectively learn from data and make accurate predictions. They also focus on optimizing and fine-tuning these models to improve performance and efficiency.

One of the key challenges in machine learning engineering is bridging the gap between data science and software engineering. Data scientists focus on developing algorithms and analyzing data, while software engineers focus on building robust and scalable systems. Machine learning engineers need to have a strong understanding of both disciplines to effectively build and deploy machine learning models in production.

Machine learning engineering requires a deep understanding of machine learning algorithms, programming languages such as Python and R, and tools and frameworks such as TensorFlow and PyTorch. It also requires knowledge of software engineering principles, cloud computing, and data engineering.

Overall, machine learning engineering is a dynamic and fast-paced field that offers exciting opportunities for professionals who are passionate about leveraging data and technology to solve complex problems. By combining the principles of data science and software engineering, machine learning engineers play a crucial role in developing cutting-edge machine learning systems that drive innovation and drive business growth.
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