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Code repository for Artificial Intelligence with Python, published by Packt

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README.md

Artificial Intelligence with Python

This is the code repository for Artificial Intelligence with Python, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.

During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that’s based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide!

##Instructions and Navigation All of the code is organized into folders. Each folder starts with a number followed by the application name. For example, Chapter02.

The code will look like the following:

A block of code is set as follows: [default] exten => s,1,Dial(Zap/1|30) exten => s,2,Voicemail(u100) exten => s,102,Voicemail(b100) exten => i,1,Voicemail(s0) 

This book is focused on artificial intelligence in Python as opposed to the Python itself. We have used Python 3 to build various applications. We focus on how to utilize various Python libraries in the best possible way to build real world applications. In that spirit, we have tried to keep all of the code as friendly and readable as possible. We feel that this will enable our readers to easily understand the code and readily use it in different scenarios.

Click here if you have any feedback or suggestions.

If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.

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Code repository for Artificial Intelligence with Python, published by Packt

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Artificial Intelligence with Python

Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you’ll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what

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Artificial intelligence with python pdf

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Artificial Intelligence with Python

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Аннотация

Artificial intelligence is the intelligence demonstrated by machines, in contrast to the intelligence displayed by humans.
This tutorial covers the basic concepts of various fields of artificial intelligence like Artificial Neural Networks, Natural Language Processing, Machine Learning, Deep Learning, Genetic algorithms etc., and its implementation in Python.

Источник

(PYTHON) Prateek Joshi Artificial Intelligence with Python

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Download Free PDF View PDF

Download Free PDF View PDF

Download Free PDF View PDF

In the present context, there is one big issue regarding energy conservation. In fact, it is a valid question-why do we need to conserve energy? It is not at all wrong if the answer would be to save money. But certainly, it is not the only reason. Less electricity uses leads to less burning of fossil fuels. Although it is possible to generate electricity from the renewable and clean natural resources like water, wind, and sun, most of the electricity is generated by burning fossil fuels like coals and oil which are non-renewable natural resources and cannot be replenished once they get used up. They are not clean sources of energy either and are responsible for emitting greenhouse gases as well as causing pollution. Energy conservation also helps to prevent the threats to the ecosystem caused during procurement of coal and oil spills. There is an effort to reduce fossil fuel consumption by the means of nuclear reaction. Though it can generate a large amount of electricity, yet it is not the best solution as it produces radioactive waste products. Thus, decreasing the demand for electricity is very essential. To increase energy efficiency, the home automation system can play a significant role. The lighting system, as well as other electric appliances, could be made to automatically turn off whenever they are not in use even if the user forgets to switch them off. Earlier such systems have been implemented using various approaches in which specific sensor is used to measure a specific parameter. Use of those sensors make the circuit more complex and it may always not be reliable. This led to the idea of using a camera as a sensor. Using video surveillance, the changes in the captured area is measured as a result of which we can perform the desired automation. It is much reliable than the use of other sensors. Computer vision has made it possible to acquire, process, analyze and extract high-level understanding for digital images and videos. Computers can capture and process the images with details far better than human beings. In this study, YOLOv3 is implemented as an object detection system for human detection and finding if the appliances are on or off. This system replaces the use of predominant sensors by computer vision. With the advanced tracking by detection technique- Deep SORT, the movement of human beings is constantly tracked in order to increase the reliability of the system. Also, the modification of person re-identification model is presented to improve the performance of Deep SORT tracking.

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