​​#book_of_the_day

The Future of Machine Intelligence: Perspectives from Leading Practitioners

Advances in both theory and practice are throwing the promise of machine learning into sharp relief. The field has the potential to transform a range of industries, from self-driving cars to intelligent business applications. Yet machine learning is so complex and wide-ranging that even its definition can change from one person to the next.

The series of interviews in this exclusive report unpack concepts and innovations that represent the frontiers of ever-smarter machines. You’ll get a rare glimpse into this exciting field through the eyes of some of its leading minds.

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Database Design, 2nd Edition

This book covers database systems and database design concepts. It provides short, easy-to-read explanations of how to get database design right the first time. It also offers numerous examples to help you avoid the many pitfalls that entrap new and not-so-new database designers.

Database design is not an exact science. Many are surprised to find that problems with their databases are caused by poor design rather than by difficulties in using the database management software. This book helps you ask and answer important questions about your data so you can understand the problem you are trying to solve and create a pragmatic design capturing the essentials while leaving the door open for refinements and extension at a later stage.

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#IoT #AI #ML #AR #Future #Hacking #WiFi #Security #Blockchain #book_of_the_day

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*Scientific Computing - Jeffrey R. Chasnov*

Jeffrey R. Chasnov wrote:
"What follows are my lecture notes for Math 164: Scientific Computing, taught at Harvey Mudd College during Spring 2013 while I was on a one semester sabbatical leave from the Hong Kong University of Science & Technology. These lecture notes are based on two courses previously taught by me at HKUST: Introduction to Scientific Computation and Introduction to Numerical Methods.

Math 164 at Harvey-Mudd is primarily for Math majors and supposes no previous knowledge of numerical analysis or methods. This course consists of both numerical methods and computational physics. The numerical methods content includes standard topics such as IEEE arithmetic, root finding, linear algebra, interpolation and least-squares, integration, differentiation, and differential equations. The physics content includes nonlinear dynamical systems with the pendulum as a model, and computational fluid dynamics with a focus on the steady two-dimensional flow past either a rectangle or a circle."

#book_of_the_day Industry 4.0: The Industrial Internet of Things

#book_of_the_day Reversing. Secrets of Reverse Engineering - Eldan Eliam

#book_of_the_day Master ML Algorithms - Jason Brownlee

#book_of_the_day Artificial Intelligence with Python
Book by Prateek Joshi

#book_of_the_day Internet of Things with Arduino Blueprints
Pradeeka Seneviratne

#book_of_the_day A Textbook of Digital Electronics

#book_of_the_day Machine Learning with TensorFlow
Author: Nishant Shukla

#book_of_the_day Raspberry Pi Made Simple (3rd Edition)

#book_of_the_day From Machine-To-Machine to the Internet of Things. Introduction to a New Age of Intelligence

Algorithms for Clustering Data #Book #Clustering

📔 Title: Programming Machine Learning: From Coding to Deep Learning

#book #ML #Python #EN

🌐 Lang.: English
🧔 Author: Paolo Perrotta
🕘 Year: 2020
📑 Pages: 326
#️⃣ ISBN: 978-1-68050-660-0

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Introduction to Data Science

📚 Book

#book #beginner #r

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