8 of The Most Popular Machine Learning Tools | DataCamp
Dec 22, 2023 · Explore the top 8 machine learning tools essential for modern ML practitioners. From Azure to Vertex AI, discover their key features and uses.
TensorFlow
An end-to-end open source machine learning platform for everyone. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources.
15 Machine Learning Tools to Know - Built In
Machine learning tools and solutions are making it easier than ever to harness machine learning and its power. Check out these 15 must-know tools.
What is Machine Learning? Definition, Types, Tools & More
Jul 19, 2023 · Machine learning is a key tool in a data scientist's arsenal, allowing them to make predictions and uncover patterns in data. Key skills: Statistical analysis; Programming (Python, R) Machine learning; Data visualization; Problem-solving; Essential tools: Python; R; SQL; Hadoop; Spark; Tableau; Machine learning engineer
Machine Learning Crash Course - Google Developers
Google's fast-paced, practical introduction to machine learning, featuring a series of lessons with video lectures, interactive visualizations, and hands-on practice exercises.
Introduction to TensorFlow
TensorFlow is easier to use with a basic understanding of machine learning principles and core concepts. Learn and apply fundamental machine learning practices to develop your skills.
Keras: Deep Learning for humans
Deep learning for humans. Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages.
Machine Learning Tools - MachineLearningMastery.com
Aug 15, 2020 · Machine learning tools make applied machine learning faster, easier and more fun. Faster: Good tools can automate each step in the applied machine learning process. This means that the time from ideas to results is greatly shortened. The alternative is that you have to implement each capability yourself. From scratch.
What Is Machine Learning (ML)? | IBM
Apr 25, 2019 · Machine learning (ML) is a branch of artificial intelligence (AI) and computer science that focuses on the using data and algorithms to enable AI to imitate the way that humans learn, gradually improving its accuracy. How does machine learning work?
Machine Learning Service - Amazon SageMaker - AWS
With SageMaker, you can build, train and deploy ML models at scale using tools like notebooks, debuggers, profilers, pipelines, MLOps, and more – all in one integrated development environment (IDE). SageMaker supports governance requirements with simplified access control and transparency over your ML projects.
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