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TensorFlow serves as a core platform and library for machine learning. TensorFlow's APIs use Keras to allow users to make their own machine-learning models. [33] [43] In addition to building and training their model, TensorFlow can also help load the data to train the model, and deploy it using TensorFlow Serving. [44]
Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of Python 2. [37] Python consistently ranks as one of the most popular programming languages, and has gained widespread use in the machine learning community. [38] [39] [40] [41]
The Techdegree program is a guided learning program that is designed to help students prepare for entry-level development jobs. [13] There are currently Techdegree programs available in Front End Web Development, Full Stack JavaScript, User Experience (UX) Design, PHP, and Python Development [14]
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]
Amazon SageMaker AI is a cloud-based machine-learning platform that allows the creation, training, and deployment by developers of machine-learning (ML) models on the cloud. [1] It can be used to deploy ML models on embedded systems and edge-devices. [2] [3] The platform was launched in November 2017. [4]
[4] [5] Compared to the GitHub Copilot tool, [3] [4] the software can code, debug, plan and problem solve via machine learning techniques. [5] Devin AI works through a user prompting the software with a task in natural language , with the software responding by showing its plan while implementing the code. [ 3 ]
TechGig was founded in 2010 by Times Business Solutions(A Division of Times Internet) as technology community website on competitive programming, technology jobs, webinars and tech news. [3] Programmers can take up skill tests and mock interviews in C, C++, C#, Java, .Net, MySQL, Linux, Unix, Ajax, Python, LAMP, JSON and other technologies. [4]
Dask is an open-source Python library for parallel computing.Dask [1] scales Python code from multi-core local machines to large distributed clusters in the cloud. Dask provides a familiar user interface by mirroring the APIs of other libraries in the PyData ecosystem including: Pandas, scikit-learn and NumPy.