Machine Learning: A Hands-On, Project-Based Introduction to Machine Learning for Absolute Beginners: Mastering Engineering ML Systems using Scikit-Learn and TensorFlow

By | iot, machinelearning

Can Machines Really Learn? 

Machine learning (ML) is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. 

Machine learning has become an essential pillar of IT in all aspects, even though it has been hidden in the recent past. We are increasingly being surrounded by several machine learning-based apps across a broad spectrum of industries. From search engines to anti-spam filters to credit card fraud detection systems, list of machine learning applications is ever-expanding in scope and applications. 

The goal of this book is to provide you with a hands-on, project-based overview of machine learning systems and how they are applied over a vast spectrum of applications that underpins AI technology from Absolute Beginners to Experts. 

This book is a fast-paced, thorough introduction to Machine Learning that will have you writing programs, solving problems, and making things that work in no time. 

This book presents algorithms and approaches in such a way that grounds them in larger systems as you learn about a variety of topics, including:

  • Supervised and Unsupervised learning methods
  • Artificial Neural Networks
  • Hands-on projects based on Real-world applications
  • Bayesian learning method
  • Reinforcement learning
  • And much more

By the end of this book, you should have a strong understanding of machine learning so that you can pursue any further and more advanced learning.

Learning Outcomes: By the end of this book, you will be able to:

  • Identify potential applications of machine learning in practice
  • Describe the core differences in analyses enabled by regression, classification, and clustering
  • Select the appropriate machine learning task for a potential application
  • Apply regression, classification, and clustering
  • Represent your data as features to serve as input to machine learning models
  • Utilize a dataset to fit a model to analyze new data
  • Build an end-to-end application that uses machine learning at its core
  • Implement these techniques in Python

If you’ve been thinking seriously about digging into ML, this book will get you up to speed. Why wait any longer?


What Are The Potential Dangers Of Quantum Computing?

By | iot

The development of quantum computers may create serious cyber-security threats. The NSA has recently released statements expressing their concern over the potential of quantum computing to foil the cryptography protecting all data to date. Furthermore, the use of quantum computers may become widespread before many people expect.

What Are The Potential Dangers Of Quantum Computing?

A powerful quantum computer could crack the cryptographic algorithms that keep our data safe. While managed detection and response services are highly effective at keeping today’s data safe, these services wouldn’t be able to protect data from a quantum computer. Quantum computers could even break the algorithms that are used by New York’s stock exchange. This could lead to the collapse of the stock market.

How Do Quantum Computers Work?

Quantum computers use quarks as bits (qubits) rather than bits made of silicon. The device’s bits are the smallest particles in the universe, and this will make it possible for quantum computers to have a larger number of bits than conventional devices.

Quantum computers could have drives that contain hundreds of millions of terabytes or more. It’s even possible that mobile devices could be this powerful!

Also, quantum computers use a code that is different than binary code. In fact, quarks …

Read More on Datafloq

Source link

Handheld Laser 2D Barcode Scanner USB QR Code Reader MaxiCode, DataMatrix, PDF417 Wired codes scaning for POS sysytem – RD-8099

By | iot, machinelearning

Scannning Performance Characteristics
Light Source: indicator light: 528 nm LED;light: 630 nm
Field of View: 34° V x 46° H
Scan Angle : Roll 360°, Pitch ±65°, Yaw ±60°
Scan Performance
5mil(Code 39) 9.0-12.0cm
13mil(100% UPC/EAN) 3.0-30.5cm
20mil(Code 39) 3.0-42.0cm
10mil (PDF417) 5.0-22.5cm
10mil(Datamatrix) 5.2-24.0cm
Symbology Decode Capability

2D: MaxiCode, DataMatrix (ECC 200), QR Code

UPC/EAN with supplementals, Code 39, Code 39 Full ASCII, Tri-optic Code 39, RSS variants, UCC/EAN 128, Code 128, Code 128 Full ASCII, Code 93, Codabar (NW1), Interleaved 2 of 5, Discrete 2 of 5, MSI, Codell, IATA, Bookland EAN, Code 32
PDF417: PDF417, microPDF417 and composite codes
Postal: U.S. Postnet and Planet, U.K., Japan, Australian, and Dutch
Print Contrast: >25%
Interfaces : USB
Imaging Characteristics
Image (Pixels): 0.35 Megapixel ,752 pixels H x 480 pixels V
Graphics Format: Bitmap, Jpeg, Tiff
Image Transfer Speed: USB 1.1: Up to 12 Megabits/s ,RS232: Up to 115 kb baud rate
Image Transfer Time: Typical USB application is 0.2 seconds with a compressed Jpeg of 100 kb
Physical Characteristics/User Environment
Voltage and Current: 5±10%V DC/ 350 mA
Operating Temperature: 0° – 50° C
Storage Temperature: -40° – 70° C
Humidity: 5% -95%
Drop/Shock Specifications: Withstands 2000g to concrete
Includes Barcode Scanner and USB Cable
Symbology Decode Capability: 1D: UPC/EAN with supplementals, Code 39, Code 39 Full ASCII, Tri-optic Code 39, RSS variants, UCC/EAN 128, Code 128, Code 128 Full ASCII, Code 93, Codabar (NW1), Interleaved 2 of 5,Discrete 2 of 5, MSI, Codell, IATA, Bookland EAN, Code 32
PDF417: PDF417, microPDF417 and composite codes
2D: MaxiCode, DataMatrix (ECC 200), QR Code


3 Big Data Privacy Risks and What They Mean to Everyday Users

By | iot

When the internet was conceived, many people believed it was the pinnacle of digital communications. It enabled users to share information despite being continents away seamlessly. And as the online repository of unstructured data grew to a massive scale, technology pioneers began connecting the dots and took digital information-sharing to a whole new level.

Today, big data has become one of the most promising concepts in the tech space. You can find it everywhere — from music streaming services to hospitals that store medical records digitally. Big data analytics also enable businesses to refine their lead and customer engagement strategies as well as execute data-driven marketing campaigns.

But what if you’re an everyday user who’s never even heard of big data before? What if you’re simply an employee who’s in no position to worry about big data analytics?

Chances are, you might consider giving up some of your information to certain brands in exchange for personalized services and experiences. This, however, could open up gaping holes in your online security and privacy. After all, the World Wide Web is no stranger to embarrassing data breaches that endanger the information of users such as yourself.

Without further ado, here is a closer look at three …

Read More on Datafloq

Source link

TensorFlow: The Cookbook

By | iot, machinelearning

Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role… In EVERY company, organization and department.

Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, ‘What are we really trying to accomplish here? And is there a different way to look at it?’

For more than twenty years, The Art of Service’s Self-Assessments empower people who can do just that – whether their title is marketer, entrepreneur, manager, salesperson, consultant, business process manager, executive assistant, IT Manager, CxO etc… – they are the people who rule the future. They are people who watch the process as it happens, and ask the right questions to make the process work better.

This book is for managers, advisors, consultants, specialists, professionals and anyone interested in TensorFlow assessment.

All the tools you need to an in-depth TensorFlow Self-Assessment. Featuring 616 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which TensorFlow improvements can be made.

In using the questions you will be better able to:

– diagnose TensorFlow projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices

– implement evidence-based best practice strategies aligned with overall goals

– integrate recent advances in TensorFlow and process design strategies into practice according to best practice guidelines

Using a Self-Assessment tool known as the TensorFlow Scorecard, you will develop a clear picture of which TensorFlow areas need attention.

Included with your purchase of the book is the TensorFlow Self-Assessment downloadable resource, which contains all questions and Self-Assessment areas of this book in a ready to use Excel dashboard, including the self-assessment, graphic insights, and project planning automation – all with examples to get you started with the assessment right away. Access instructions can be found in the book.

You are free to use the Self-Assessment contents in your presentations and materials for customers without asking us – we are here to help.