Exploring how blockchains make cryptocurrencies work Buying, and buying things with, bitcoin Investing in the Ethereum blockchain and Ether coin Putting money into the cryptocurrency market Building a computing rig capable of mining cryptocurrency. It takes a knowledgeable guiding hand to understand how Ethereum works and what it does — and Ethereum For Dummies provides that guidance.
Written by one of the leading voices in the blockchain community and best selling author of Blockchain For Dummies, this book demystifies the workings of Ethereum and shows how it can enhance security, transactions, and investments. As an emerging application of blockchain technology, Ethereum attracts a wide swath of professionals ranging from financial pros who see it as a way to enhance their business, security analysts who want to conduct secure transactions, programmers who build apps that employ the Ethereum blockchain, or investors interested in cashing in on the rise of cryptocurrency.
Ethereum For Dummies offers a starting point to all members of this audience as it provides easy-to-understand explanation of the tools and techniques of using Ethereum.
Understand the fundamentals of Ethereum Build smart contracts Create decentralized applications Examine public and private chains If you need to get a grip on one of the biggest applications of blockchain technology, this book makes it easier. Score: 4. The soaring value of cryptocurrencies provides a massive incentive for individuals, dummies and businesses to join the party.
Those who cashed in during the meteoric rise of digital currencies, like bitcoin, know just how much difference the right investment decisions can make. However, it is never too late for anyone to make a killing with cryptocurrency, bitcoin inclusive. There are many reasons why people are adopting digital currencies in droves besides the profit potential. First, cryptocurrencies, like Bitcoin, are incredibly secure.
Technology aficionados and enthusiasts worldwide would agree that the blockchain, the ledger which underpins cryptocurrencies is hugely secure, especially for digital currencies like bitcoin. The blockchain has been carefully built to make it hard for robbers to change or tamper with data. Second, your transactions cannot be traced back to you unless you publicize your wallet address.
Third, there is no paperwork involved, unlike what is obtainable with traditional bank accounts. You can start trading cryptocurrencies without providing proof of address, ID card, or passport. However, the opposite may hold if you intend to trade large sums. But if you are trading small amounts, all you will be needing is your wallet and address. Fourth, as cryptocurrencies are highly anonymous, you do not have to worry about identity theft when dealing in them.
Besides, cryptocurrency transactions are completed within few minutes, unlike traditional debt settlement systems which always take time. Now that you have an idea on how cryptocurrencies can benefit you, this eBook aims to provide even more information to help you grow digital currency literacy and critical thinking further. How many times have you tried to find out about the true history of cryptocurrencies, how many times have you heard of it, but have received different versions and opinions, without receiving a clear overview of what they are and how they work?
Would you like to try using cryptocurrencies, but don't know where to start? Reading this book, made up of two texts, one of a historical nature and the other consisting of a manual, you will learn: the history of cryptocurrencies the principles behind blockchains the strengths and weaknesses of blockchains and cryptocurrencies to manage cryptocurrencies from a practical point of view Even if today the topic may seem difficult, don't worry.
The two texts were written for beginners and in a language that aims to be simple and understandable. Buy this book now! Are you ready to start investing in Bitcoin today?
If yes, this book is for you. Do you know that Bitcoin and other cryptocurrencies are the highest assets that have made a lot of investors and traders billionaire in the past decade?
If you are looking out for an investment opportunity that would fetch you income in the next five years, I will suggest you embrace cryptocurrency if you have'nt done that yet. Many people have the mindset that Bitcoin is a scam and that the government would ban it.
It's funny how we think about cryptocurrency while other people are already making a fortune out of it. Now let me tell you that the government can never ban Bitcoin and other cryptocurrencies because they are digital assets that the government cannot control. Most big companies who understand and see the future in the blockchain technology are already accepting cryptocurrencies as payment means.
Although Bitcoin and other cryptocurrencies are volatile, I must tell you that experts crypto traders make millions of dollars from the volatility of Bitcoin and other altcoins. The market is in the volatility. Why do you need this book? This book resulted from my experience in crypto trading and investment, which comes with many packages that show you a clear picture of the word "Blockchain Technology" and its works.
Facebook, Instagram, Uber, Twitter, E-commerce - the list is endless. What is interesting is that all this data goes right back to whoever owns the product. They then use that information to improve their products. It is this process of gathering data that is referred to as Data Mining.
What you need to understand is that the more data you collect, the more value you can deliver. The more value you provide, the more revenue your business generates. Here, we will discuss what data mining is all about and how you can use that data to make a lot of difference in your business and the world around you.
Come with me and let's get down to work! This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis.
It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics.
This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. If not the bible, it is at the least a definitive manual on the subject. Every chapter of this new edition has been updated with screenshots and steps that align with SPSS You'll learn how to set up the software and organize your workflow, then delve deep into analysis to discover the power of SPSS capabilities.
You'll discover the mechanics behind the calculations, perform predictive analysis, produce informative graphs, and maximize your data, even if it's been awhile since your last statistics class. SPSS is the leading statistical software for social sciences, marketing, health care, demography, government, education, data mining, and more.
This powerful package gives you the tools you need to get more out of your data, and this book is your beginner-friendly guide to getting the most out of the software. Install and configure SPSS and learn the basics of how it works Master the process of getting data into SPSS and manipulating it to produce results See how to display data in dozens of different graphic formats to fit specific needs Make SPSS manufacture the numbers you want and take advantage of the many analysis options Discover ways to customize the SPSS interface and the look of your results, edit graphics and pivot tables, and program SPSS with Command Syntax Statistical analysis is crucial to so many industries, and accuracy and efficiency are crucial.
SPSS offers you the capability to deliver, but you still must know how to take utmost advantage of the tools at your fingertips. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process. Furthermore, the increasing amount of data in recent science, industry and business applications, calls to the requirement of more complex tools to analyze it.
Thanks to data preprocessing, it is possible to convert the impossible into possible, adapting the data to fulfill the input demands of each data mining algorithm. Data preprocessing includes the data reduction techniques, which aim at reducing the complexity of the data, detecting or removing irrelevant and noisy elements from the data. A comprehensive look from a practical point of view, including basic concepts and surveying the techniques proposed in the specialized literature, is given.
Each chapter is a stand-alone guide to a particular data preprocessing topic, from basic concepts and detailed descriptions of classical algorithms, to an incursion of an exhaustive catalog of recent developments. The in-depth technical descriptions make this book suitable for technical professionals, researchers, senior undergraduate and graduate students in data science, computer science and engineering.
The mathematical analysis component of the typical mathematical curriculum for computer science students omits these very important ideas and techniques which are indispensable for approaching specialized area of machine learning centered around optimization such as support vector machines, neural networks, various types of regression, feature selection, and clustering. It covers the entire range of data mining algorithms prediction, classification, and association , data mining products and applications, stages.
The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor.
The second section, data mining algorithms, shows how algorithms are constructed to solve specific problems in a principled manner. The algorithms covered include trees and rules for classification and regression, association rules, belief networks, classical statistical models, nonlinear models such as neural networks, and local "memory-based" models. The third section shows how all of the preceding analysis fits together when applied to real-world data mining problems.
Topics include the role of metadata, how to handle missing data, and data preprocessing. Data mining refers to a set of technologies and techniques by which IT professionals search large databases of information such as those contained by SQL Server for patterns and trends. Traditionally important in finance, telecommunication, and other information-intensive fields, data mining increasingly helps companies better understand and serve their customers by revealing buying patterns and related interests.
It is becoming a foundation for e-commerce and knowledge management. Unique book on a hot data management topic Part of Digital Press's SQL Server and data mining clusters Author is an expert on both traditional and Microsoft data mining technologies. Software tools and programming language packages take data input and deliver data mining results directly, presenting no insight on working mechanics and creating a chasm between input and output. This is where Excel can help.
Excel allows you to work with data in a transparent manner. When you open an Excel file, data is visible immediately and you can work with it directly. Intermediate results can be examined while you are conducting your mining task, offering a deeper understanding of how data is manipulated and results are obtained. You will learn how Excel has an advantage in data mining when the data sets are not too large. The book also discusses Google Colab, which makes it possible to write Python code in the cloud.
Get started with data science and Python Visualize information Wrangle data Learn from data The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.
Unleash the power of Python for your data analysis projects with For Dummies! Python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization.
Python for Data Science For Dummies shows you how to take advantage of Python programming to acquire, organize, process, and analyze large amounts of information and use basic statistics concepts to identify trends and patterns.
Your logical, linear guide to the fundamentals of data science programming Data science is exploding—in a good way—with a forecast of 1. It clearly pays dividends to be in the know. This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models.
It helps you decide which programming languages are best for specific data science needs. It also gives you the guidelines to build your own projects to solve problems in real time. All the answers to your data science questions Over half of all businesses are using data science to generate insights and value from big data. How are they doing it?
Find solutions to your real-life challenges as you uncover the stories and value hidden within data. Combine business sense, statistics, and computers in a new and intuitive way, thanks to Big Data Predictive analytics is a branch of data mining that helps predict probabilities and trends.
Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in fields such as advertising, fraud detection, politics, and others. This practical book does not bog you down with loads of mathematical or scientific theory, but instead helps you quickly see how to use the right algorithms and tools to collect and analyze data and apply it to make predictions.
Topics include using structured and unstructured data, building models, creating a predictive analysis roadmap, setting realistic goals, budgeting, and much more. Shows readers how to use Big Data and data mining to discover patterns and make predictions for tech-savvy businesses Helps readers see how to shepherd predictive analytics projects through their companies Explains just enough of the science and math, but also focuses on practical issues such as protecting project budgets, making good presentations, and more Covers nuts-and-bolts topics including predictive analytics basics, using structured and unstructured data, data mining, and algorithms and techniques for analyzing data Also covers clustering, association, and statistical models; creating a predictive analytics roadmap; and applying predictions to the web, marketing, finance, health care, and elsewhere Propose, produce, and protect predictive analytics projects through your company with Predictive Analytics For Dummies.
Find the right big data solution for your business ororganization Big data management is one of the major challenges facingbusiness, industry, and not-for-profit organizations.
Data setssuch as customer transactions for a mega-retailer, weather patternsmonitored by meteorologists, or social network activity can quicklyoutpace the capacity of traditional data management tools. If youneed to develop or manage big data solutions, you'll appreciate howthese four experts define, explain, and guide you through this newand often confusing concept.
You'll learn what it is, why itmatters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importanceto businesses, not-for-profit organizations, government, and ITprofessionals Authors are experts in information management, big data, and avariety of solutions Explains big data in detail and discusses how to select andimplement a solution, security concerns to consider, data storageand presentation issues, analytics, and much more Provides essential information in a no-nonsense,easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helpsyou take charge of big data solutions for your organization.
Anyone who masters the principles of machine learning is mastering a big part of our tech future and opening up incredible new directions in careers that include fraud detection, optimizing search results, serving real-time ads, credit-scoring, building accurate and sophisticated pricing models—and way, way more. Unlike most machine learning books, the fully updated 2nd Edition of Machine Learning For Dummies doesn't assume you have years of experience using programming languages such as Python R source is also included in a downloadable form with comments and explanations , but lets you in on the ground floor, covering the entry-level materials that will get you up and running building models you need to perform practical tasks.
It takes a look at the underlying—and fascinating—math principles that power machine learning but also shows that you don't need to be a math whiz to build fun new tools and apply them to your work and study. Understand the history of AI and machine learning Work with Python 3. An introductory textbook offering a low barrier entry to data science; the hands-on approach will appeal to students from a range of disciplines.
An Excel dashboard report is a visual presentation of critical data and uses gauges, maps, charts, sliders, and other graphical elements to present complex data in an easy-to-understand format.
Excel Data Analysis For Dummies explains in depth how to use Excel as a tool for analyzing big data sets. Delve into your data for the key to success Data mining is quickly becoming integral to creating value andbusiness momentum. The ability to detect unseen patterns hidden inthe numbers exhaustively generated by day-to-day operations allowssavvy decision-makers to exploit every tool at their disposal inthe pursuit of better business. By creating models and testingwhether patterns hold up, it is possible to discover newintelligence that could change your business's entire paradigm fora more successful outcome.
Data Mining for Dummies shows you why it doesn't take adata scientist to gain this advantage, and empowers averagebusiness people to start shaping a process relevant to theirbusiness's needs. In this book, you'll learn the hows and whys ofmining to the depths of your data, and how to make the case forheavier investment into data mining capabilities. The book explainsthe details of the knowledge discovery process including: Model creation, validity testing, and interpretation Effective communication of findings Available tools, both paid and open-source Data selection, transformation, and evaluation Data Mining for Dummies takes you step-by-step through areal-world data-mining project using open-source tools that allowyou to get immediate hands-on experience working with large amountsof data.
You'll gain the confidence you need to start making datamining practices a routine part of your successful business. Ifyou're serious about doing everything you can to push your companyto the top, Data Mining for Dummies is your ticket toeffective data mining. Get ahead of the curve—learn about big data on the blockchain Blockchain came to prominence as the disruptive technology that made cryptocurrencies work.
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