Bøger af Richard Hurley

If you want to learn about predictive analytics without having to read a boring textbook, then keep reading... Companies are collecting more data from ever. With the ease of collecting all that data, all the different sources where you can receive the data, and the inexpensive storage, it makes sense to collect as much data as possible. But without a good analysis of that data, and without some time to really figure out what trends and insights are inside all of it, that data becomes worthless. This is where predictive analytics is going to come in handy. You will be able to actually take all of the data that you have been collecting and storing, and see what insights are in there to lead some of your business decisions in the future. This guidebook is going to look at predictive analytics, and some of the topics we will explore concerning this topic include: The basics of predictive analysis.How to predict events that are going to happen in the future with big data and data mining.How to predict events that are going to happen in the future with the help of data analysis and statistics.A look at machine learning and how this process can help make predictions.How to avoid prediction traps, avoid bias, and make the best decisions with this analysis.Some of the top reasons to implement this kind of analysis in your business.The steps you can take to create your own predictive analysis model.And much, much more!Working on predictive analytics is going to be one of the best ways that your business can use the data you have to look more deeply inside, and sort through the different predictions you can make. Click the "add to cart" button to start your learning!

If you want to learn about data science and big data, then keep reading...Two manuscripts in one book: Data Science: What You Need to Know About Data Analytics, Data Mining, Regression Analysis, Artificial Intelligence, Big Data for Business, Data Visualization, Database Querying, and Machine LearningBig Data: A Guide to Big Data Trends, Artificial Intelligence, Machine Learning, Predictive Analytics, Internet of Things, Data Science, Data Analytics, Business Intelligence, and Data MiningThis book will discuss everything that you need to know when it comes to working in the field of data science. This world has changed, and with the modern technology that we have, it is easier than ever for companies to amass a large amount of data on the industry, on their competition, on their products, and their customers. Gathering the data is the easy part, though. Being able to sort through this data and understand what it is saying is going to be a unique challenge all on its own. This is where the process and field of data science can come in. There is so much that we can explore and learn about when it comes to the world of data science, and this ultimate guide is here to help you navigate through these specialties. You will see just how important the ideas of data mining, data analytics, and even artificial intelligence are to our world as a whole today. Some of the topics covered in part 1 of this book include: What is Data Science?What Exactly Does a Data Scientist Do?A Look at What Data Analytics Is All AboutWhat is Data Mining and How Does It Fit in with Data Science?Regression AnalysisWhy is Data Visualization So Important When It Comes to Understanding Your Data?How to work with Database QueryingA Look at Artificial IntelligenceWhat is Machine Learning and How Is It Different from Artificial Intelligence?What is the Future of Artificial Intelligence and Machine Learning?And much more!Some of the topics covered in part 2 of this book include: What is big data, and why is it important?The five V's behind big dataHow big data is already impacting your life, and where big data may be headedHow big data and your everyday devices and appliances will come together in unexpected ways via the Internet of ThingsHow companies and governments are using predictive analytics to get ahead of the competition or improve serviceHow big data is used for fraud detectionHow big data can train intelligent computer systemsThe many ways large corporations are benefiting from big data and the tools that use it like machine learning, AI, and predictive analyticsUpcoming trends in big data that are sure to have a large impact on your future Artificial intelligence, and how big data drives its developmentWhat machine learning is and how it is tied to big dataThe relationship between big data, data analytics, and business intelligenceInsights into how big data impacts privacy issuesThe pros and cons regarding big dataAnd much, much more!So if you want to learn more about data science and big data, click the "add to cart" button!

If you want to learn about big data, then keep reading... Do you want to understand what big data is all about, but you don't get all the hype? Are you intrigued by the idea of building a career around big data and data science, but you just don't understand it? If so, this book could be what you are looking for. In this book, we will explore the hot concept of big data and explain it for beginners like yourself. If you know nothing about big data now, you will come away with a good overview of the subject and how it integrates into the other hot technologies of the day widely adopted by business, such as artificial intelligence, predictive analytics, and machine learning. Even if you don't intend to get directly involved in big data, understanding it will be very important in the coming years. It is one of the most important phenomena to hit in many years. It took some time for technology to catch up so that big data could be analyzed and processed, but now we are in the midst of a data revolution. Big data powers many of the world's most powerful companies, including Facebook, Amazon, and Google, among others. In this book, you will learn: What is big data, and why is it important?The five V's behind big dataHow big data is already impacting your life, and where big data may be headedHow big data and your everyday devices and appliances will come together in unexpected ways via the Internet of ThingsHow companies and governments are using predictive analytics to get ahead of the competition or improve serviceHow big data is used for fraud detectionHow big data can train intelligent computer systemsThe many ways large corporations are benefiting from big data and the tools that use it like machine learning, AI, and predictive analyticsUpcoming trends in big data that are sure to have a large impact on your future Artificial intelligence, and how big data drives its developmentWhat machine learning is and how it is tied to big dataThe relationship between big data, data analytics, and business intelligenceInsights into how big data impacts privacy issuesThe pros and cons regarding big dataAnd much, much more!If you want to learn about this new, exciting, and rapidly developing technology, then download this book right now! You will not be baffled by big data any longer, and you will understand the behavior of large companies far better than you ever did before.

If you want to learn about Data Science, then keep reading... This book will discuss everything that you need to know when it comes to working in the field of data science. This world has changed, and with the modern technology that we have, it is easier than ever for companies to amass a large amount of data on the industry, on their competition, on their products, and their customers. Gathering the data is the easy part, though. Being able to sort through this data and understand what it is saying is going to be a unique challenge all on its own. This is where the process and field of data science can come in. There is so much that we can explore and learn about when it comes to the world of data science, and this ultimate guide is here to help you navigate through these specialties. You will see just how important the ideas of data mining, data analytics, and even artificial intelligence are to our world as a whole today. This book will discuss the following topics: What is Data Science?What Exactly Does a Data Scientist Do?A Look at What Data Analytics Is All AboutWhat is Data Mining and How Does It Fit in with Data Science?Regression AnalysisWhy is Data Visualization So Important When It Comes to Understanding Your Data?How to work with Database QueryingA Look at Artificial IntelligenceWhat is Machine Learning and How Is It Different from Artificial Intelligence?What is the Future of Artificial Intelligence and Machine Learning?And much more!So if you want to learn more about data science, click "buy now"!

If you want to learn about business intelligence and predictive analytics, then keep reading... Two manuscripts in one book: Business Intelligence: An Essential Beginner's Guide to BI, Big Data, Artificial Intelligence, Cybersecurity, Machine Learning, Data Science, Data Analytics, Social Media and Internet MarketingPredictive Analytics: The Secret to Predicting Future Events Using Big Data and Data Science Techniques Such as Data Mining, Predictive Modelling, Statistics, Data Analysis, and Machine LearningIn the modern business world, the pace of action continues to quicken. Businesses need to be able to get actionable insights from their data in order to make the right decisions to act rapidly and effectively. In this book, you will be introduced to the concept of business intelligence. Business intelligence is closely connected to data, and so as part of our journey, we are going to see how modern companies are using big data, together with artificial intelligence, machine learning, and pattern recognition in order to build systems of data-driven decision making. After we get a handle on what business intelligence is, we will learn how it ties together with the next computer revolution (happening right before our eyes). We will discuss the use of artificial intelligence, machine learning, and pattern recognition to retrieve insights from the large amounts of data that companies are routinely collecting, storing, and using. We will also explore the roles that social media and internet marketing are playing in the growth of business intelligence, and how companies like Facebook are helping other companies act on data in powerful ways. Some of the topics covered in part 1 of this book include: An Introduction to BI, Big Data, AI, and MoreAn Overview of Business IntelligenceBI and AIBI and Big DataBI And Machine LearningData ScienceCybersecurityBI and Data MiningBI and Social MediaBI and Internet MarketingAnd much much more!Some of the topics covered in part 2 of this book include: The basics of predictive analysis.How to predict events that are going to happen in the future with big data and data mining.How to predict events that are going to happen in the future with the help of data analysis and statistics.A look at machine learning and how this process can help make predictions.How to avoid prediction traps, avoid bias, and make the best decisions with this analysis.Some of the top reasons to implement this kind of analysis in your business.The steps you can take to create your own predictive analysis model.And much, much more!So if you want to learn more about business intelligence and predictive analytics, click the "add to cart" button!

Do you want to learn about business intelligence but don't feel like reading a boring textbook? In the modern business world, the pace of action continues to quicken. Businesses need to be able to get actionable insights from their data in order to make the right decisions to act rapidly and effectively. In this book, you will be introduced to the concept of business intelligence. Business intelligence is closely connected to data, and so as part of our journey, we are going to see how modern companies are using big data, together with artificial intelligence, machine learning, and pattern recognition in order to build systems of data-driven decision making. After we get a handle on what business intelligence is, we will learn how it ties together with the next computer revolution (happening right before our eyes). We will discuss the use of artificial intelligence, machine learning, and pattern recognition to retrieve insights from the large amounts of data that companies are routinely collecting, storing, and using. We will also explore the roles that social media and internet marketing are playing in the growth of business intelligence, and how companies like Facebook are helping other companies act on data in powerful ways. Here's just a tiny fraction of what you'll discover: An Introduction to BI, Big Data, AI, and MoreAn Overview of Business IntelligenceBI and AIBI and Big DataBI And Machine LearningData ScienceCybersecurityBI and Data MiningBI and Social MediaBI and Internet MarketingAnd much much more!So if you want to learn more about Business Intelligence, click the "add to cart" button!

If you want to learn about big data, then keep reading...Do you want to understand what big data is all about, but you don't get all the hype?Are you intrigued by the idea of building a career around big data and data science, but you just don't understand it?If so, this book could be what you are looking for.In this book, we will explore the hot concept of big data and explain it for beginners like yourself.If you know nothing about big data now, you will come away with a good overview of the subject and how it integrates into the other hot technologies of the day widely adopted by business, such as artificial intelligence, predictive analytics, and machine learning.Even if you don't intend to get directly involved in big data, understanding it will be very important in the coming years. It is one of the most important phenomena to hit in many years. It took some time for technology to catch up so that big data could be analyzed and processed, but now we are in the midst of a data revolution.Big data powers many of the world's most powerful companies, including Facebook, Amazon, and Google, among others.In this book, you will learn: What is big data, and why is it important? The five V's behind big data How big data is already impacting your life, and where big data may be headed How big data and your everyday devices and appliances will come together in unexpected ways via the Internet of Things How companies and governments are using predictive analytics to get ahead of the competition or improve service How big data is used for fraud detection How big data can train intelligent computer systems The many ways large corporations are benefiting from big data and the tools that use it like machine learning, AI, and predictive analytics Upcoming trends in big data that are sure to have a large impact on your future Artificial intelligence, and how big data drives its development What machine learning is and how it is tied to big data The relationship between big data, data analytics, and business intelligence Insights into how big data impacts privacy issues The pros and cons regarding big data And much, much more!If you want to learn about this new, exciting, and rapidly developing technology, then download this book right now! You will not be baffled by big data any longer, and you will understand the behavior of large companies far better than you ever did before.

Do you want to learn about business intelligence but don't feel like reading a boring textbook?In the modern business world, the pace of action continues to quicken. Businesses need to be able to get actionable insights from their data in order to make the right decisions to act rapidly and effectively.In this book, you will be introduced to the concept of business intelligence. Business intelligence is closely connected to data, and so as part of our journey, we are going to see how modern companies are using big data, together with artificial intelligence, machine learning, and pattern recognition in order to build systems of data-driven decision making.After we get a handle on what business intelligence is, we will learn how it ties together with the next computer revolution (happening right before our eyes). We will discuss the use of artificial intelligence, machine learning, and pattern recognition to retrieve insights from the large amounts of data that companies are routinely collecting, storing, and using.We will also explore the roles that social media and internet marketing are playing in the growth of business intelligence, and how companies like Facebook are helping other companies act on data in powerful ways.Here's just a tiny fraction of what you'll discover: An Introduction to BI, Big Data, AI, and More An Overview of Business Intelligence BI and AI BI and Big Data BI And Machine Learning Data Science Cybersecurity BI and Data Mining BI and Social Media BI and Internet Marketing And much much more!So if you want to learn more about Business Intelligence, click the "add to cart" button!

If you want to learn about data science and big data, then keep reading...Two manuscripts in one book:Data Science: What You Need to Know About Data Analytics, Data Mining, Regression Analysis, Artificial Intelligence, Big Data for Business, Data Visualization, Database Querying, and Machine LearningBig Data: A Guide to Big Data Trends, Artificial Intelligence, Machine Learning, Predictive Analytics, Internet of Things, Data Science, Data Analytics, Business Intelligence, and Data MiningThis book will discuss everything that you need to know when it comes to working in the field of data science. This world has changed, and with the modern technology that we have, it is easier than ever for companies to amass a large amount of data on the industry, on their competition, on their products, and their customers. Gathering the data is the easy part, though. Being able to sort through this data and understand what it is saying is going to be a unique challenge all on its own. This is where the process and field of data science can come in.There is so much that we can explore and learn about when it comes to the world of data science, and this ultimate guide is here to help you navigate through these specialties. You will see just how important the ideas of data mining, data analytics, and even artificial intelligence are to our world as a whole today.Some of the topics covered in part 1 of this book include:What is Data Science?What Exactly Does a Data Scientist Do?A Look at What Data Analytics Is All AboutWhat is Data Mining and How Does It Fit in with Data Science?Regression AnalysisWhy is Data Visualization So Important When It Comes to Understanding Your Data?How to work with Database QueryingA Look at Artificial IntelligenceWhat is Machine Learning and How Is It Different from Artificial Intelligence?What is the Future of Artificial Intelligence and Machine Learning?And much more!Some of the topics covered in part 2 of this book include:What is big data, and why is it important?The five V’s behind big dataHow big data is already impacting your life, and where big data may be headedHow big data and your everyday devices and appliances will come together in unexpected ways via the Internet of ThingsHow companies and governments are using predictive analytics to get ahead of the competition or improve serviceHow big data is used for fraud detectionHow big data can train intelligent computer systemsThe many ways large corporations are benefiting from big data and the tools that use it like machine learning, AI, and predictive analyticsUpcoming trends in big data that are sure to have a large impact on your futureArtificial intelligence, and how big data drives its developmentWhat machine learning is and how it is tied to big dataThe relationship between big data, data analytics, and business intelligenceInsights into how big data impacts privacy issuesThe pros and cons regarding big dataAnd much, much more!So if you want to learn more about data science and big data, click the "add to cart" button!

If you want to learn about predictive analytics without having to read a boring textbook, then keep reading...Companies are collecting more data from ever. With the ease of collecting all that data, all the different sources where you can receive the data, and the inexpensive storage, it makes sense to collect as much data as possible. But without a good analysis of that data, and without some time to really figure out what trends and insights are inside all of it, that data becomes worthless.This is where predictive analytics is going to come in handy. You will be able to actually take all of the data that you have been collecting and storing, and see what insights are in there to lead some of your business decisions in the future.This guidebook is going to look at predictive analytics, and some of the topics we will explore concerning this topic include:The basics of predictive analysis.How to predict events that are going to happen in the future with big data and data mining.How to predict events that are going to happen in the future with the help of data analysis and statistics.A look at machine learning and how this process can help make predictions.How to avoid prediction traps, avoid bias, and make the best decisions with this analysis.Some of the top reasons to implement this kind of analysis in your business.The steps you can take to create your own predictive analysis model.And much, much more!Working on predictive analytics is going to be one of the best ways that your business can use the data you have to look more deeply inside, and sort through the different predictions you can make. Click the "add to cart" button to start your learning!