Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (Icmlbda) 2021), Misra Rajiv, Shyamasundar Rudrapatna K., Chaturvedi Amrita
Автор: Solomon Michael G. Название: Blockchain Data Analytics for Dummies ISBN: 1119651778 ISBN-13(EAN): 9781119651772 Издательство: Wiley Рейтинг: Цена: 4117.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Get ahead of the curve-learn about big data on the blockchain Blockchain came to prominence as the disruptive technology that made cryptocurrencies work. Now, data pros are using blockchain technology for faster real-time analysis, better data security, and more accurate predictions. Blockchain Data Analytics For Dummies is your quick-start guide to harnessing the potential of blockchain.
Inside this book, technologists, executives, and data managers will find information and inspiration to adopt blockchain as a big data tool. Blockchain expert Michael G. Solomon shares his insight on what the blockchain is and how this new tech is poised to disrupt data.
Set your organization on the cutting edge of analytics, before your competitors get there! Learn how blockchain technologies work and how they can integrate with big dataDiscover the power and potential of blockchain analyticsEstablish data models and quickly mine for insights and resultsCreate data visualizations from blockchain analysis Discover how blockchains are disrupting the data world with this exciting title in the trusted For Dummies line!
Описание: Data Processing with Optimus helps you learn how to load, clean, and transform data easily with Optimus. This book is a step-by-step guide for preparing data to perform key data science tasks such as machine learning, analytics, feature engineering, and reporting to help you to build end-to-end real-world applications with ease.
Описание: This book, Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data - That You Don`t, presents you with a step-by-step approach to Data Science as well as secrets only known by the best Data Scientists.
Автор: Pani Subhendu Kumar, Tripathy Somanath, Jandieri George Название: Applications of Machine Learning in Big-Data Analytics and Cloud Computing ISBN: 8770221820 ISBN-13(EAN): 9788770221825 Издательство: Taylor&Francis Рейтинг: Цена: 14851.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Cloud Computing and Big Data technologies have become the new descriptors of the digital age. The global amount of digital data has increased more than nine times in volume in just five years and by 2030 its volume may reach a staggering 65 trillion gigabytes. This explosion of data has led to opportunities and transformation in various areas such as healthcare, enterprises, industrial manufacturing and transportation. New Cloud Computing and Big Data tools endow researchers and analysts with novel techniques and opportunities to collect, manage and analyze the vast quantities of data.
In Cloud and Big Data Analytics, Swarm Intelligence and Deep Learning are two developing type of Machine Learning techniques that show enormous potential for solving complex business problems. Deep Learning enables computers to analyze large quantities of unstructured and binary data and to deduce relationships without requiring specific models or programming instructions.
This book introduces the state-of-the-art trends and advances in the use of Machine Learning in Cloud and Big Data Analytics. The book will serve as a reference for data scientists, systems architects, developers, new researchers and graduate level students in Computer and Data Science. The book will describe the concepts necessary to understand current Machine Learning issues, challenges and possible solutions as well as upcoming trends in Big Data Analytics.
Описание: If you want to learn about the Internet of Things, then keep reading... You were just woken up in the middle of the night by smart lightbulbs in your house blasting at full power for no reason. Your bleary-eyed investigation shows they tried to download a firmware update and failed. At that moment, Alexa starts quietly whispering sweet nonsense to herself in the corner and Roomba starts slamming into the nearest wall. What do you do? Is your house haunted or have the machines finally started an uprising? Neither - it's just another day in the IoT wonderland. This book reveals the concepts and methods powering perhaps the most ambitious technological concept of the twenty-first century - the Internet of Things (IoT) - and parades all the ridiculously named gadgets techies imagined to saturate the market before the competition. Mystical, cheap and scalable, the idea of IoT attracts creative grifters of all shapes and sizes to try their luck in pushing yet another completely unnecessary gadget to the market in hopes of fleecing gullible buyers. Some of the topics you'll find in the book are:
Origins of IoT
IoT Security
Ethical Hacking
Internet of Things
Under The Cushy Foot of Tech Giants
The Power of Infinite Funds
IoT Toys
Bio-robotics
Predictive Analytics
Machine Learning
Artificial Intelligence
Cybersecurity
Big Data
Business Intelligence
Augmented Reality
Virtual Reality
Our Future
And much, much more
If you want to learn more about the Internet of Things, then scroll up and click "add to cart"
Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics. The book is divided into two parts: Part 1 covers big data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of deep learning and machine learning, and provides an outlook on future directions of research and development. The entire book takes a case study approach, providing a wealth of real-world case studies in the application chapters to act as a foundational reference for biomedical engineers, computer scientists, healthcare researchers, and clinicians.
Автор: J. Joshua Thomas, Pinar Karagoz, B. Bazeer Ahamed, Название: Deep Learning Techniques and Optimization Strategies in Big Data Analytics ISBN: 1799811921 ISBN-13(EAN): 9781799811923 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 35897.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there's a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.
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Do you want to know everything about Data science?
This guidebook is going to provide you with all of the information that you need to learn more about data science, what this process is all about, and how you can use the Python language to put it all to work for you Even if you have no idea how to program or any idea of what to do with all of that data you have been collecting, this guidebook will give you all of the tools you need to be successful
There are a lot of different parts that come with data science and being able to put them all together can really help us to do better with helping our customers, finding new products to bring to market, and more. And with the help of this guidebook, we can hopefully find the best ways to beat out the competition and see the results that will work for us. It takes some time, and a good data analysis with the right algorithms from Python, but it can be one of the best ways to make some smart and sound decisions for your business.
Working with data science is becoming even more prevalent as the years go on, and businesses all over the world, and in many different industries, are using this to help them see more success. Whether you want to make predictions, provide better customer service, or learn other valuable insights about your business, data science with the help of Python, can make this happen. When you are ready to see what Python data science can do for your business, make sure to check out this guidebook to get started.
The process of Python data science is not an easy one and learning how to make this work for your needs, and to put all of the parts together can make a big difference in the way that you run your business, and how much success you will see when it comes to your business growing in the future. When you are ready to learn more about working with Python data science and how to make this work for your business, make sure to check out this guidebook to get started.
There are so many parts that come with a data science project, and we are going to take some time to discuss them all in this guidebook. We are going to look at some of the basics that come with this data science project, and why it is so beneficial to so many companies to at least check it out and see what it has to offer them. At the same time, we are also going to explore how to set up your own environment to get started with data science, and some of the best libraries that are out there to help us succeed with the use of data science and Python put together.
This book covers:
What Is Data Science?
How Can I Use Data Science?
The Best Python Libraries for Data Science
Setting Up Your Virtual Environments for Data Science
The Importance of the NumPy Arrays
Gathering and Collecting Your Data
Loading and Preparing Your Dataset
Data Mining
Completing the Data Analysis
How Machine Learning Can Help
How to Work with Data Visualization
Many businesses are able to benefit when they work with data analysis for some of their own needs. It will help them to learn more about their customers, their industry, and so much more. When you are ready to learn more about what data science can do for you and to figure out whether this is a process your business should spend some time on, make sure to check out this guidebook to help you get started.
★ 55% OFF for Bookstores NOW at $ 22,97 instead of $ 32.97 LAST DAYS ★
Your Customers Never Stop to Use this Awesome book
Do you want to know everything about Data science?
This guidebook is going to provide you with all of the information that you need to learn more about data science, what this process is all about, and how you can use the Python language to put it all to work for you Even if you have no idea how to program or any idea of what to do with all of that data you have been collecting, this guidebook will give you all of the tools you need to be successful
There are a lot of different parts that come with data science and being able to put them all together can really help us to do better with helping our customers, finding new products to bring to market, and more. And with the help of this guidebook, we can hopefully find the best ways to beat out the competition and see the results that will work for us. It takes some time, and a good data analysis with the right algorithms from Python, but it can be one of the best ways to make some smart and sound decisions for your business.
Working with data science is becoming even more prevalent as the years go on, and businesses all over the world, and in many different industries, are using this to help them see more success. Whether you want to make predictions, provide better customer service, or learn other valuable insights about your business, data science with the help of Python, can make this happen. When you are ready to see what Python data science can do for your business, make sure to check out this guidebook to get started.
The process of Python data science is not an easy one and learning how to make this work for your needs, and to put all of the parts together can make a big difference in the way that you run your business, and how much success you will see when it comes to your business growing in the future. When you are ready to learn more about working with Python data science and how to make this work for your business, make sure to check out this guidebook to get started.
There are so many parts that come with a data science project, and we are going to take some time to discuss them all in this guidebook. We are going to look at some of the basics that come with this data science project, and why it is so beneficial to so many companies to at least check it out and see what it has to offer them. At the same time, we are also going to explore how to set up your own environment to get started with data science, and some of the best libraries that are out there to help us succeed with the use of data science and Python put together.
This book covers:
What Is Data Science?
How Can I Use Data Science?
The Best Python Libraries for Data Science
Setting Up Your Virtual Environments for Data Science
The Importance of the NumPy Arrays
Gathering and Collecting Your Data
Loading and Preparing Your Dataset
Data Mining
Completing the Data Analysis
How Machine Learning Can Help
How to Work with Data Visualization
Many businesses are able to benefit when they work with data analysis for some of their own needs. It will help them to learn more about their customers, their industry, and so much more. When you are ready to learn more about what data science can do for you and to figure out whether this is a process your business should spend some time on, make sure to check out this guidebook to help you get started.
Описание: The 12 full papers presented together with 15 short papers in this volume were carefully reviewed and selected from a total of 71 submissions. The papers reflect a wide range of topics in the field of data integration, data warehousing, data analytics, and recently big data analytics, in a broad sense.
Session 1: Novel machine learning methods for IoT security
The Innovation of UI Design Courses in Higher Vocational Colleges Based on the Internet Perspective
Predicting the Getting-on and Getting-off Points Based on the Trafic Big Data
The Prediction analysis of Passengers Boarding and Alighting Points Based on the Big Data of Urban Traffic
Verifiable Random Number Based on B-Spline Curve
An Improved Particle Swarm Optimization Algorithm Based on DFC&HRS
Application and Practice of ID3 Algorithms in College Students' Education
Construction of Human Knee Joint Mechanics Model and Study on Mechanical Characteristics of Flexion movement based on neural network algorithm
Application of Artificial Intelligence Technology in Physical Fitness Test of College Students
Theoretical Research on College Students' Professional Literacy Design Based on Deep Learning
Artificial Intelligence is the Technical Guarantee of Network Security
Intelligent Question Answering System of Medical Knowledge Map Based on Deep Learning
Construction and Practice of Red Teaching Resources Based on Machine Learning
Reasonable Approach and Development Trend of Artificial Intelligence Sports Development
Returnee Migrant Workers' Entrepreneurship Based on Artificial Intelligence
Improvement of College Teachers' Teaching Ability under the Background of the Development of Artificial Intelligence Platform
Influence Factors of Using Modern Teaching Technology in the Classroom of Junior Middle School Teachers under the Background of Artificial Intelligence--Analysis Based on HLM
Analysis and Design of Personalized Learning System Based on Decision Tree Technology
Deep Learning Classification and Recognition Model Construction of Face Living Image Based on Multi-Feature Fusion
A Prediction Method of Blood Glucose Concentration Based On Nonlinear Auto-Regressive Model
Signal Processing Based On Machine Learning Optical Communication
Refined Management of Installation Engineering Cost based on Artificial Intelligence Technology
Application of Artificial Intelligence Technology in International Trade Finance
An Improved Genetic Algorithm for Vehicle Routing Problem
A Machine-Learning Based Store Layout Strategy in Shopping Mall
Risk Analysis in Online Peer-to-Peer Loaning Based on Machine Learning: A Decision Tree Implementation on PPDai.com
The Application of BP Neural Network in the Opioid Crisis
Design of Personalized Intelligent Learning Assistant System under Artificial Intelligence Background
Application of Artificial Intelligence in Intelligent Decision-making of Human Resource Allocation
Research on Early Warning of Security Risk of Hazardous Chemicals Storage Based on BP-PSO
The Application of Artificial Intelligence and Machine Learning in Financial Stability
Application of alternative routing configuration mechanism based on Genetic Algorithm in power communication network
Safety Situation Assessment of Underwater Nodes based on BP Neural Network
Session 2: Big data analytics for IoT security
The Innovation of College Counsellor's Work Based On Big Data Analysis
Analysis of India's Big Data Industry
The Application of Computer Virtual Technology in Modern Sports Training
The Research on the Development and Utilization of Hospital Archive Information in the Big Data Era
Integration and Optimization of College English Teaching Information Resources in the Context of Big Data
Discussion on the Training of Cross-border E-commerce Application Talents Based on the Internet Era
Level of Technology Innovation Development and Promotion Strategies of High Technology Industry in Hubei Province Based on Smart City
Wisdom Medi
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