Curious about Computer Science and Cyber Security but not sure where to start? If you answered “yes,” then you should listen to this audiobook.
This audiobook includes:
Hacking: A Comprehensive, Step-by-Step Guide to Techniques and Strategies to Learn Ethical Hacking with Practical Examples to Computer Hacking, Wireless Network, Cybersecurity and Penetration Test
In this audiobook, you'll learn:
- How to secure your own wireless network
- How to sniff out hidden networks, wireless packets, and SSIDs
- And more
Hacking: The Ultimate Comprehensive Step-By-Step Guide to the Basics of Ethical Hacking
You'll learn:
- Hacking a website
- Hacking tools you must know, including password crackers
- and much more
Cybersecurity for Beginners: Learn the Fundamentals of Cybersecurity in an Easy, Step-by-Step Guide
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- What cybersecurity is
- How penetration testing works
- and much more
Excel: The Complete Ultimate Comprehensive Step-By-Step Guide to Learn Excel Programming
This audiobook includes:
Excel: The Ultimate Comprehensive Step-By-Step Guide to the Basics of Excel Programming
Excel: The Ultimate Comprehensive Step-by-Step Guide to Strategies in Excel Programming (Formulas, Shortcuts and Spreadsheets)
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Python For Data Science: The Ultimate Comprehensive Step-by-Step Guide to The Basics of Python for Data
- Over 60 programs that will walk you through step by step how to use Python in the world of data science and more
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‘Haunting.’ Jonathan Freedland
‘Powerful.’ Daniel Finkelstein
The profoundly moving and deeply intimate story of one Jewish family’s fate in the Holocaust, following the thread from Germany to Latvia and to Britain.
It was only by accident that Peter as a child discovered that his father, Fred Bradley, was in fact born Fritz Brandes. And it was only after his father’s death in 2004 that Peter was able to begin to piece together the family’s story and set out on the journey – literally and figuratively – that forms the basis of his book.
Peter’s family were German Jews. In 1938, his father was imprisoned in Buchenwald in the aftermath of Kristallnacht. He was released the following spring when he was granted a visa to settle temporarily in the UK. He arrived in London in May 1939, aged 24, penniless and alone. But when the Nazis invaded France and the Low Countries in May 1940, he was arrested by the British as an ‘enemy alien’ and shipped to an internment camp in Canada. His parents’ fate was to be very different: they were deported by train from their home in Bavaria to Latvia, to the Riga ghetto and nearby camps, where they were murdered.
Peter felt a growing need not only to find out what had happened, but also to try to understand why his grandparents’ fellow citizens had come to put them on that train. Of course antisemitism was at the root. But where did it come from? And why did it continue virtually unabated after WW2 despite such graphic evidence of the horrors it had caused? Why is it resurgent today?
Such apparently intractable questions led Peter to the forests of Latvia where his grandparents died and to dig deeply into the ancient roots of this prejudice. This book tells the story of what he learned.
If you want to take Excel to the next level, and improve your knowledge in VBA, you should learn how to implement the tools and functions that VBA offers in your work.
If your aim is to improve and automate processes using Excel VBA, you have come to the right place.
Over the course of the book, you will gather information on a wide array of tools and Excel options. The book will take you through some facts about Excel VBA and will also leave you with some tips that you can use to improve the processing speed of VBA.
This book is packed with some friendly advice on the easiest methods that you can use to develop sub procedures, and the many ways in which you can call them.
You will learn more about:
- Some facts about Excel VBA
- Additional resources that you can use to gather more information about Excel VBA
- Tips to improve the performance of Macros
- Some issues with Excel spreadsheets, and solutions to handle those errors
- Working with sub procedures
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As we become more and more reliant on wireless networks to live and work, learning how to protect your system has become vital, if only to save yourself from the pain of identity theft, of all the problems caused by having your system hacked and your data stolen.
Thankfully, there is a solution and it lies in penetration testing. A form of ethical hacking, penetration testing is a skill that you should learn, especially wireless-penetration testing and this has become more important than ever as new ways are being discovered to break into WPA2-encrypted networks.
With Kali Linux, you have all the tools you need and in Hacking : A Comprehensive, Step-By-Step Guide to Techniques and Strategies to Learn Ethical Hacking With Practical Examples to Computer Hacking, Wireless Network, Cybersecurity and Penetration Testing, you will learn, with detailed step-by-step practical examples how to protect your network from being hacked.
In this book, you'll learn:
How to set up a wireless lab to test your systemWhat the KRACK attack isHow to sniff out hidden networks, wireless packets and SSIDsHow to capture WPA-2 keys and crack themHow to attack a radius authentication systemHow to sniff traffic on a wireless networkHow to use stolen keys to decrypt encrypted trafficWhat the Honeypot and Deauthentication attacks areWhat Man-In-The-Middle and DoS attacks areHow to secure your own wireless networkWhat are you waiting for? Buy Now to get started today to learn how to protect your system from the latest and most sophisticated attacks.
Machines are created to make work easier for us, but so many have seen machines as a major barrier due to their supposed technicality.
Are you a novice trying to understand the basics of machines?Do you have prior knowledge and wish to acquire further understanding about tensorflow, scikit- learn, algorithms, decision trees, random forest, deep learning, or neural networks?Are you even a pro and wish to add to your knowledge?This audiobook is all you need. This painstakingly compiled manuscript unravels the rudiments and generality of machine learning. It is total and all-encompassing, with accurate and concise principles of machine learning. This quintessential book comprises modules that cut across various levels of knowledge in machine learning. It is an exquisite material that grants you practical knowledge of machines. It weighs more than mere words; it is gold in the manuscript.You might not know how much you know or how much you need to know until you avail yourself of essential materials. This audiobook is not all you need to understand machine learning; it is all you need to uncover the full scope of learning machines.Technicality is very relative when you have the right knowledge. Stay ahead; make a choice that will last.Would You Like To Know More? Buy this audiobook NOW!!
In today’s business world, managing databases and computing in Excel is vital for your understanding of many development processes of any firm. Accounting, finance, statistics, and advanced graphs can all be done in a simple spreadsheet! But what if you have no idea how this complicated program works?
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Do you want to impress the processes that you are working on?Do you want to make your machines more intelligent?If your answer to any of those questions is yes, then you have come to the right place.
This audiobook is a sequel to the book titled 'Machine Learning: A Step-by-Step guide.' In the first book, you gathered information on what machine learning is and the different algorithms that one needs to know. This audiobook is for those who have a basic understanding of what machine learning is.
In this audiobook, you will gather information on:
- Practical examples of machine learning
- How to build a machine learning algorithm in Python
- An introduction to deep learning and neural networks
- How to create a neural network in Python using Keras
- And much more
The audiobook breaks down the process of building a machine-learning model in Python into simple steps. These steps will help you build your very own machine-learning model from scratch. You should first build the model using the programs and scripts given in this audiobook before you build your model from scratch. If you want to learn more about what you can do with machine learning, then this is the perfect audiobook for you.
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Do you have a clear understanding of the different types of machine learning algorithms?
Do you know what a neural network is and how you can build one?
If you have heard the second audiobook in the series, the answer to both questions is YES.
If you want to gather more information about machine learning, deep learning, and neural networks, you have come to the right place.
Over the course of the audiobook, you will gather information on the following:
- The difference between machine learning and deep learning
- Python libraries
- Advantages of using Python
- Developing supervised and unsupervised machine learning algorithms in Python
- Assessing or evaluating a neural network
The information in this audiobook will help you gather a clear understanding of what machine learning is, how you can build different models, and where you can use these models. You can use the programs given in the audiobook as a sample or a base for building your own. If you are still learning how to code in Python, you can simply copy the code in the books and analyze different input data sets.
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Do you know how to build a Machine Learning Algorithm in Python?
Have you learned how to build a Neural Network in Python?
If you have heard the first three audiobooks in the series, you will know how to do both of those things. If you want to learn more about the concepts related to Machine learning and some of the subjects and concepts that are linked to Machine Learning, you have come to the right place.
Over the course of the book, you will gather information on the following:
- Subjects linked to Machine Learning
- Artificial Intelligence
- Big Data
- Building Generic Algorithms in Python
- Activation functions used to build Neural Networks
- Building a Neural Network in R
The information in this audiobook will help you learn more about Machine Learning. You should now be able to link some of the concepts in Machine Learning with the work you do or want to do. Once you practice the models in this audiobook, you can build your very own models in either R or Python.
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Learn how to do Excel VBA Programming in a Step-by-Step Guide.Do you work in Excel VBA Programming?Are its complications causing you pain and distress?You are not alone!Many people who are using Excel VBA are struggling to get to grips with it beyond the beginner stage. As you attempt to go further and deeper into this programming, it becomes more complex, leading to many people simply giving up on it.
But help is here, with Excel VBA: Intermediate Lessons in Excel VBA Programming for Professional Advancement, a book that is designed as the answer to your problems and that contains great advice and tips on:
- How to use data from Excel
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Excel VBA is an exciting and productive program once you get properly acquainted with it. And if you are seeking professional advancement in your chosen career, then this is a vital tool you must know more about.
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Do You want to learn Excel VBA skills from the ground up?Are You a total novice when it comes to programming?This audiobook will guide You on the right path!Learning any language is difficult. Learning a computer language can look like an impossible task for some of us. But, there is always an answer when a problem presents itself.Now, You can learn Excel VBA with this in-depth book, Excel VBA: A Step-By-Step Tutorial for Beginners to Learn Excel VBA Programming from Scratch, which will teach you all the basics, including:
- Making Use of Data from Excel
- If/Then Statements and Variables
- Looping
- Understanding Strings
- Errors to Watch Out For While Debugging
- Easy Mistakes to Make
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Do you want to know more about Machine Learning and what it means for the future?Could Machine Learning help your business to perform better?
Machine Learning is not a new idea. It stems back as far as the 1950s and involves computers ‘learning’ from basic algorithms without the need for them to be specifically programmed to do so.
If that sounds a bit like science-fiction, it isn’t. Machine Learning is real and is gathering pace and in Machine Learning: A Comprehensive, Step-by-Step Guide to Learning and Understanding Machine Learning Concepts, Technology and Principles for Beginners, you can grasp what this means with chapters on:
- What Machine Learning is
- Basic facts about Machine Learning
- Types of Machine Learning
- Real life applications of Machine Learning
- Artificial Intelligence
- And much more…
The way that technology is moving, combined with the pace of change, means that Machine Learning that is both complex and innovative will be with us very soon.
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