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Gain practical data science skills with Bertelsmann's 17-week course. Learn to build machine learning models, run data pipelines, design experiments, and deploy solutions to the cloud.
Master foundational machine learning skills with Kaggle's 13-week course. Learn to deploy models to production environments and solve real-world tasks. Capstone project included.
Dive into Deep Learning with Kaggle's online program. Learn TensorFlow, Keras, and TPU usage in 1-2 hours of study material.
Intro to Machine Learning Lesson 1: How Models Work. Lesson 2: Basic Data Exploration. Lessons 3: Your First Machine Learning Model. and Lesson 4: Model Validation. Lesser known as AutoML. Kaggle.com: AutoML is an open-source version of the popular Caffe…
In this series of videos, Kaggle Data Scientist, Rachael, will walk you through how to use SQL.
Learn With Me: Getting Started with Tensor Processing Units (TPUs) Kaggle.TPU Notebook Walkthrough: Introduction to TFRecords. Getting Curious: What it takes to build a TPU. Accelerator Power Hour for data science professionals with Kaggling Grandmasters…
Learn Dashboarding with Notebooks with Kaggle! In this course, you will learn about what information to include, best practices for making dashboards, running notebooks with Kaggle API, scheduling notebook runs using cloud services, and testing and valid…
Kaggle's 13-week course offers a comprehensive introduction to machine learning with TensorFlow, covering supervised, unsupervised, and deep learning. Expect hands-on projects and a 10-hour weekly commitment.
Learn foundational machine learning skills with Kaggle's 13-week course. Master supervised, unsupervised, and deep learning, and deploy models in a production environment.
In this course, you'll learn about different types of supervised learning and how to use them to solve real-world problems.
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