PUBLICATIONS
ARDUINO DATA COMMUNICATIONS
Learn how to configure databases, MQTT, REST APIs, and store data over LoRaWAN, HC-12, and GSM
In our modern, internet-connected world, where billions of devices constantly collect and send data to systems to be stored and processed, it’s surprising how the intricacies of data transmission and storage are often overlooked in the IoT domain. With Arduino Data Communications, you'll bridge the knowledge gap and become an expert in collecting data from IoT sensors, transmitting data, and configuring your own databases. This book is an exploration of IoT’s inner workings, guiding you through the process of setting up an end-to-end system that you can employ to prototype your own IoT solutions, using easy-to-follow examples. It begins with a general overview of the Arduino ecosystem, acquainting you with various sensors and shields and unveiling the art of data collection. You’ll then explore data formats and methods to store data, both locally and on database servers. As you progress through the chapters, you’ll learn how to set up REST and MQTT infrastructure to communicate with databases and get hands-on with LoRaWAN, Ethernet, cellular, HC-12, and RS-485. The final chapters are your training ground for real-world projects, imparting the essential knowledge you need to tackle complex challenges with confidence. By the end of this Arduino book, you'll have seamlessly configured an end-to-end system, all while immersing yourself in practical scenarios that bring the world of IoT to life.
THE DATA SCIENCE WORKSHOP
A New Interactive Approach to Learning Data Science - Book
You already know you want to learn data science, and a smarter way to learn data science is to learn by doing. 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. Every physical print copy of The Data Science Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your data science book. Fast-paced and direct, The Data Science Workshop is the ideal companion for data science beginners. You'll learn about machine learning algorithms like a data scientist, 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.
THE DATA SCIENCE WORKSHOP
You already know you want to learn data science, and the best way to learn data science is to learn by doing.
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.
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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!
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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).
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