PUBLICATIONS
THE DATA SCIENCE WORKSHOP
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The Data Science Workshop focuses on building up your practical skills so that you can understand how to develop simple machine learning models in Python or even build an advanced model for detecting potential bank frauds with effective modern data science. You'll learn from real examples that lead to real results.
Throughout The Data Science Workshop, you'll take an engaging step-by-step approach to understanding data science. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend training a model using sci-kit learn. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding.
THE DATA SCIENCE WORKSHOP
Interactive - on sale, hurry now!
Nobody likes going through hundreds of pages of dry theory, or struggling with uninteresting examples that don’t compile. We've got you covered. Any time, any device.
Learn by doing real-world development, supported by detailed step-by-step examples, screencasts, and knowledge checks.
Become a verified practitioner, building your credentials by completing exercises, activities, and assessment checks.
Manage your learning based on your personal schedule, with content structured to easily let you pause and progress at will.
You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend training a model using sci-kit learn.
You'll build and iterate on your code like a software developer, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead.
DEEP LEARNING WITH TF 2.0 IN 7 STEPS
Screencast - on sale, hurry now!
Seven short lessons and exercises to get you started with deep learning using TensorFlow 2.0 faster than other courses!
Learn how to get started with TensorFlow 2.0 in a unique and enticing way, using an ambitious approach that's perfect for learning and implementing deep learning models. Using TensorFlow at a high level, you will learn to implement Convolutional Neural Networks (CNN), as well as sequence networks such as Long Short-Term Memory (LSTM) and Recurrent Neural Networks (RNN).