Would you like to learn how to use Python to generate machine learning models but you think it would be too difficult? Or perhaps you want to automate simple things with your computer but you don’t know how to do it?Here's the deal.... As a beginner you might think that programming is complex.... Learning artificial intelligence coding can take months, and the possibility to give up before mastering it could be high. The best solution is to follow a complete programming manual with hands-on projects and practical exercises. Computer Programming Academy structured this guide as a course with seven chapters for seven days and studied special exercises for each section to apply what you have learned step-by-step. In the detail, you will learn:Why Python is considered the fundamental tool for machine learning12 machine learning models that you must study as a beginnerThe most common mistakes to avoid when you start building machine learning models with PythonThe algorithms that will make your life easier while coding artificial intelligenceA simple method to build the desired machine learning model in less than 7 daysExercises and quizzes at the end of every chapter to review immediately what you’ve learnedThe best way to learn machine learning with Python is by doing and with this manual you will work through applicable projects.... This is what this guide offers to you, even if you're completely new to programming in 2020 or you are just looking to widen your skills as programmer.The key to become a Python master is one click away! 1. Language: English. Narrator: Jeff Bower. Audio sample: http://samples.audible.de/bk/acx0/193926/bk_acx0_193926_sample.mp3. Digital audiobook in aax.
Bold is a radical, how-to guide for using exponential technologies, moonshot thinking, and crowd-powered tools to create extraordinary wealth while also positively impacting the lives of billions. Exploring the exponential technologies that are disrupting today's Fortune 500 companies and enabling upstart entrepreneurs to go from "I've got an idea" to "I run a billion-dollar company" far faster than ever before, the authors provide exceptional insight into the power of 3-D printing, artificial intelligence, robotics, networks and sensors, and synthetic biology. Drawing on insights from billionaire entrepreneurs Larry Page, Elon Musk, Richard Branson, and Jeff Bezos, the audiobook offers the best practices that allow anyone to leverage today's hyper connected crowd like never before. The authors teach how to design and use incentive competitions, launch million-dollar crowdfunding campaigns to tap into tens of billions of dollars of capital, and build communities - armies of exponentially enabled individuals willing and able to help today's entrepreneurs make their boldest dreams come true. Bold is both a manifesto and a manual. It is today's exponential entrepreneur's go-to resource on the use of emerging technologies, thinking at scale, and the awesome impact of crowd-powered tools. 1. Language: English. Narrator: Steven Kotler. Audio sample: http://samples.audible.de/bk/sans/006963/bk_sans_006963_sample.mp3. Digital audiobook in aax.
Master Python machine learning even if you don’t have a tech background! Are you interested in starting a career in the IT industry, but worry that the market is overly saturated with programmers, engineers, and various specialists? Machine learning is currently the fastest growing IT sector. It’s an artificial intelligence branch and deals with building machines that can imitate humans and even adapt. Even Mark Zuckerberg, the CEO of Facebook has spoken positively on this trend. If you haven’t heard about this already, there’s still time! This superior bundle will teach you everything you need to know about this soon-to-become the most profitable area of computer science. Thanks to the Python programming language and deep learning, even those who have never heard of this technology can use it. Here’s what you get with this book: A comprehensive guide on the machine learning and deep learning fieldsA full, step-by-step manual for using PythonSpecific, applicable manuals on machine learning algorithmsInstructions on how to use machine learning to make predictionsA guide on data science, and how to use it to improve your businessAnd so much more! The problem with most IT instruction manuals is the too-technical way in which they’re written. It’s hard for someone who doesn’t come from a tech or computer science background to familiarize themselves with the subject. This bundle is written in plain English, in an educational but understandable way. You’ll have no problem keeping up with the content, even without any programming experience. Scroll up, click, and get your copy now! 1. Language: English. Narrator: J.M. Debord. Audio sample: http://samples.audible.de/bk/acx0/185883/bk_acx0_185883_sample.mp3. Digital audiobook in aax.
Today, several commercial apps and research projects make use of machine learning, but this field is not only meant for big companies with extensive research teams, a beginner can get started, too.Machine Learning came into prominence in the 1990's, when researchers and scientists started highlighting it as a sub-field of Artificial Intelligence (AI), detailing how such techniques borrow concepts from AI, probability, and statistics, which perform far better when compared to fixed rule-based models requiring a lot of manual time and effort.Of course, as we have pointed out earlier, Machine Learning didn’t just come out of nowhere in the 1990's. It is a multi-disciplinary field that has gradually evolved over time and is still evolving as we speak.Meanwhile, Python is growing and becoming a dominant platform to use with machine learning. The primary reason for adopting Python is because it is a general purpose programming language which can be used both for R&D and in production.Python Machine Learning for Beginners dives into the basics of machine learning using an approachable, well-known programming language, Python.In this guide, we will review the purpose of Machine Learning and where it applies to the real world and will also cover popular Machine Learning topics, such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms.The following are some of the major topics covered in Python Machine Learning for Beginners:Understanding The Basics of Machine LearningMachine Learning as a Multi-Disciplinary FieldThe Different Types of Machine LearningPython Ecosystem for Machine LearningGetting Familiar with Python and SciPyLoading Machine Learning DataUnderstanding Your Data with Descriptive StatisticsUnderstanding Your Data with VisualizationPreparing Your Data for Machine Learningl 1. Language: English. Narrator: Jean-Paul Rennault. Audio sample: http://samples.audible.de/bk/acx0/168247/bk_acx0_168247_sample.mp3. Digital audiobook in aax.
Without any trace of doubt, machine learning and Python are two of the most exciting and interesting fields of study at the moment.There are a lot of reasons to fear the advent of the artificial intelligence (AI) era as well starting with the fact that it comes with serious ethical implications and ending with the fact that nobody can tell you just how far AI will go and how “sentient” it will become. This audiobook will not aim to be a manual in Python or programming in general but an incursion into the realm of these subjects - a short trip to make you curious about what Python and data analysis are all about, why they are used in association, and even how they are used, at times.I know you will take the information presented here and use it to the best of your abilities, helping yourself create the future you want for your children, nephews, or neighbors. In this book, you will learn:How to improve productivity and efficiency with PythonHow to use Python and how to analyze SEO dataWhat is the importance of data scienceWhy data analysis is so important and what is the OOP modelWhat you need to know about machine learning and coding basicsHow to control the flow of program with loopsAnd much more...If you are ready to embrace Python, even as a complete beginner, you are a daring soul who deserves to be part of the amazing future we’re building in this industry. Hopefully, this audiobook will instill all these sentiments in you, and it will make you ask all the important questions, too. What’s next?Click the "buy now" button to start learning Python.The future is at your fingertips. Use it wisely! 1. Language: English. Narrator: Russell Newton. Audio sample: http://samples.audible.de/bk/acx0/172998/bk_acx0_172998_sample.mp3. Digital audiobook in aax.
If you are looking for a comprehensive guide that explains in a simple way how to manage machine learning and AI, please keep listening.The term Machine Learning refers to the capability of a machine to learn something without any pre-existing program. Automatic learning is a way to educate an algorithm to learn from various environmental situations. Machine learning involves the usage of enormous quantities of data and an efficient algorithm enabled to adapt and enhance its capabilities according to recurring situations. From banking operations to online shopping and also on social media, we daily use machine learning data algorithms to make our experience more efficient, simple and secure.This bundle will give you all the information you need in order to leverage your knowledge and give you an excellent level of education. All the subjects will be supported by examples and practical exercises that will enable you to reinforce your level of knowledgeSpecifically you will learnWhat does machine learning and artificial intelligence meanMachine learning evolutionMachine learning applications Difference between AI and machine Learning Connection between machine learning and big dataHow to acquire new customers via simple marketing strategies Python programming Advanced programming techniques And much more.This manual has been written to meet all levels of education. If your level of knowledge is low and you don't have any previous experience, this book will empower you to learn key functionalities and navigate through various subjects smoothly. If you have already a good understanding, you will find useful insights that will help to enhance your competences. Don’t wait any longer! Download this audiobook now to get access to a complete guide. 1. Language: English. Narrator: Russell Newton. Audio sample: http://samples.audible.de/bk/acx0/208097/bk_acx0_208097_sample.mp3. Digital audiobook in aax.
Many Malware detection systems these days are using signature based techniques to detect malwares and viruses. The zero day or new infected files are not detected by these signature based Anti Viruses and their signature is generated only after they have done their damage. Hence it becomes very important for a user to constantly update the antivirus software. To overcome these problems, we have proposed a solution based on Artificial Intelligence techniques. So the clients will not require frequent updates and probability of detecting zero day infections will rise abruptly. This project is based on implementing data mining algorithms mainly C4.5 Decision Tree learner. We have generated a dataset on the basis of already known malicious executable files. A C4.5 decision tree is generated based on the generated dataset and the unknown executables are passed through the tree to classify the executable as a malicious or a benign file. The purpose is to get rid of the manual signature based Malware detection systems that require constant updated signatures and making systems artificially immune to unknown and zero day malicious executables.
The automation of manual activities was a long-time imagination of human beings. With the development of computers, this dream is coming to be realized. Over the past 50 years, many researches are conducted to develop machines and software that help and sometimes replace human beings. Optical Character Recognition(OCR) is one of the most successful applications of technology in the field of pattern recognition and artificial intelligence. OCR systems take scanned images of paper documents as input, and automatically convert them into digital format for computer-aided data processing. In the first part of this book, the definition, architecture, benefits, applications and issues of developing of OCR systems are covered. A total of fifteen researches are reviewed and a summary of the identified problems, objective of the study, methods, techniques and algorithms applied or innovated, scope and limitation, performance evaluation as well as the future research direction pointed by all researches are presented in an interesting manner. Finally conclusion and recommendations with references to reviewed literatures are presented.
The modern task of control of objects in the automatic and automated productions is improvement of quality and efficiency of control. Instability of parameters of an object of control in the process of work, and also constantly changing requirements to quality of regulation interfere with increase in efficiency of control and quality of regulation. In the workbook the control systems allowing to use at the same time advantages of traditional methods of control and methods of artificial intelligence are considered. The models based on integration of the classical theory of control and fuzzy logic and providing desirable control of technological objects at change of their parameters and requirements to quality of regulation are developed. The training material is directed to formation of set of professional competences at the students studying in the direction "Automation of technological processes and productions". Having studied manual material, the students will be able to apply the received skills in the professional activity when developing the innovative systems of automation directed to improvement of quality of control of technological processes and productions.