๐ Maker Innovations | 32-Book Series
Paperback Edition
๐ Get Your Copy on Amazon:
https://t.co/Lx8BJIUthK
๐ Beginning STM32: Developing Advanced Embedded Applications Beyond Arduino
Ready to take your embedded systems programming skills to the next level? Discover how to harness the power of the STM32 microcontroller family using FreeRTOS, libopencm3, and GCCโand move beyond the limitations of the traditional Arduino environment.
๐น What Youโll Learn:
โ Set up and use the libopencm3 and FreeRTOS development environment
โ Initialize peripherals, manage interrupts, and develop multitasking applications
โ Work with FreeRTOS tasks, queues, and mutexes
โ Use DMA to drive an SPI-based OLED display with an analog meter
โ Read RC control PWM signals using hardware timers
โ Explore USB, CAN bus, RTC, GPIO, and other STM32 peripherals
โ Expand your code capabilities using external Flash memory
โ Interface with IยฒC devices, including the PCF8574 GPIO expander
๐ฏ Who Is This Book For?
This book is ideal for experienced embedded engineers, engineering students, electronics enthusiasts, hobbyists, and makers who want to explore the ARM architecture and develop advanced microcontroller applications beyond Arduino.
๐ With clear explanations, practical examples, and end-of-chapter exercises, Beginning STM32 offers a hands-on introduction to professional embedded development.
๐ก Learn ARM. Master STM32. Build Beyond Arduino.
#MakerInnovations #BeginningSTM32 #STM32 #EmbeddedSystems #FreeRTOS #ARM #Microcontrollers #Electronics #EmbeddedProgramming #GCC #Arduino #Engineering #IoT #TechBooks
Most enterprise strategy requires Design Thinking and an Agile approach to UX: โThink Big, Start Smallโ, โStart with the End in Mindโ, and โFail Fast to Learn Fast.โ
๐๐๐๐ฅ
Start with this beautiful "Design Thinking Playbook" at https://t.co/yZM98oQAlN
โจโจโจโจโจ
Model to Meaning โ How to interpret Statistical Models with R and Python: https://t.co/xu0fSSeqEj
โ Concrete workflows, task-specific software, and detailed case studies, presented using real-world data and code examples.
Enter โStatlandโ โ and into a world of curiosity where logic becomes landscape, shadows hold patterns, and every valley hums with hidden meaning: https://t.co/MdGqMUGY4K
#Statistics#DataLiteracy#DataScience
Ontology Pipeline โ Framework for Knowledge Engineering and Building Knowledge Infrastructures: https://t.co/pPu00wgmAi
Amazon description: โOne of the biggest shifts happening in our industry is that enterprise data management is expanding into enterprise knowledge management. AI is accelerating that transition because it depends on more than well-managed data. It depends upon context, shared meaning, trusted relationships, and the ability to organize the vast stores of unstructured knowledge that exist across every large enterprise. As AI becomes the primary interface to enterprise information, knowledge management will become the foundation that unlocks trustworthy AI at scale.โ
The Game Theory Method โ Concepts, Worked Examples, and Exercises for Strategic Thinkers | Nash Equilibrium, Mixed Strategies, Sequential and Bayesian Games: https://t.co/dmrVQFRtRd
Benfordโs Law: https://t.co/UVhrvInKTg
Fraud detection is just one of its many practical powerful applications!
Amazon Summary:
โThis book provides the first comprehensive treatment of Benford's law, the surprising logarithmic distribution of significant digits discovered in the late nineteenth century. Establishing the mathematical and statistical principles that underpin this intriguing phenomenon, the text combines up-to-date theoretical results with overviews of the lawโs colorful history, rapidly growing body of empirical evidence, and wide range of applications.
An Introduction to Benfordโs Law begins with basic facts about significant digits, Benford functions, sequences, and random variables, including tools from the theory of uniform distribution. After introducing the scale-, base-, and sum-invariance characterizations of the law, the book develops the significant-digit properties of both deterministic and stochastic processes, such as iterations of functions, powers of matrices, differential equations, and products, powers, and mixtures of random variables. Two concluding chapters survey the finitely additive theory and the flourishing applications of Benfordโs law.
Carefully selected diagrams, tables, and close to 150 examples illuminate the main concepts throughout. The text includes many open problems, in addition to dozens of new basic theorems and all the main references. A distinguishing feature is the emphasis on the surprising ubiquity and robustness of the significant-digit law. This text can serve as both a primary reference and a basis for seminars and courses.โ
Model Selection and Inference โ Practical Information-Theoretic Approach: https://t.co/GJzJwvwQ4p
Classic text on data analysis, parameter estimation, statistical modeling, and optimal (parsimonious) model selection.
Building Statistical Models in Python: Develop useful models for regression, classification, time series, and survival analysis
๐ Get Now: https://t.co/Cm7V7fAo3z
Foundations of Statistical Algorithms: With References to R Packages (Chapman & Hall/CRC Computer Science & Data Analysis)
๐ Get Now: https://t.co/TYWkNhPC3W
Absolute Beginner's Guide to Python Programming: Master Coding Quickly with Hands-On, Real-World Projects, Step-By-Step Guidance, and Comprehensive Learning for All Ages
๐ Get Now: https://t.co/8B90WVISJd
Learn Python in One Day and Learn It Well (2nd Edition): Python for Beginners with Hands-on Project. The only book you need to start coding in Python ... (Learn Coding Fast with Hands-On Project)
๐ Get Now: https://t.co/GD9YvfBF3x