Machine Learning Concepts Tools And Data Visualization

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Machine Learning

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Author : Minsoo Kang
language : en
Publisher: World Scientific Publishing Company
Release Date : 2021

Machine Learning written by Minsoo Kang and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Artificial intelligence categories.

This set of lecture notes, written for those who are unfamiliar with mathematics and programming, introduces the reader to important concepts in the field of machine learning. It consists of three parts. The first is an overview of the history of artificial intelligence, machine learning, and data science, and also includes case studies of well-known AI systems. The second is a step-by-step introduction to Azure Machine Learning, with examples provided. The third is an explanation of the techniques and methods used in data visualization with R, which can be used to communicate the results collected by the AI systems when they are analyzed statistically. Practice questions are provided throughout the book.

Machine Learning Concepts Tools And Data Visualization

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Author : Minsoo Kang
language : en
Publisher: World Scientific
Release Date : 2021-03-16

Machine Learning Concepts Tools And Data Visualization written by Minsoo Kang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-16 with Computers categories.

This set of lecture notes, written for those who are unfamiliar with mathematics and programming, introduces the reader to important concepts in the field of machine learning. It consists of three parts. The first is an overview of the history of artificial intelligence, machine learning, and data science, and also includes case studies of well-known AI systems. The second is a step-by-step introduction to Azure Machine Learning, with examples provided. The third is an explanation of the techniques and methods used in data visualization with R, which can be used to communicate the results collected by the AI systems when they are analyzed statistically. Practice questions are provided throughout the book.

Data Visualization And Interpretation Using Machine Learning

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Author : Anjan Kumar Reddy Ayyadapu
language : en
Publisher: Xoffencerpublication
Release Date : 2024-04-18

Data Visualization And Interpretation Using Machine Learning written by Anjan Kumar Reddy Ayyadapu and has been published by Xoffencerpublication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-18 with Computers categories.

Among the various definitions of artificial intelligence, "machine-made intelligence" and "an artificial embodiment of some or all of the intellectual abilities possessed by humans" are two examples of what is meant by the term. Among the different explanations of artificial intelligence, the following are some essential points: "machines endowed with human-level intellect that can comprehend human-level reasoning, conduct, and thought processes." It is commonly believed that the ability to "apply prior knowledge and experience to achieve challenging new tasks" is what distinguishes a person as intelligent. One may make the case that this is a reference to the inherent wisdom that people possess in the end. In addition to being connected to the capacity for learning, this ability can be leveraged to respond in a flexible manner to a variety of situations and obstacles. A person's learning ability can be defined as their capability to learn new things in a short amount of time and in a comprehensive manner, or to acquire the same information in a more sophisticated manner. There is a correlation between prior knowledge and academic achievement, intellectual reasoning, and behavior; hence, intelligence may be molded via the process of being exposed to new material and training. It is for this reason that "the ability to solve problems" is frequently considered to be the starting point and ultimate definition of intelligence. When it comes to addressing a wide variety of problems, we require individuals who possess a high level of intelligence. Consider the game of chess as an illustration. You'll need to draw on knowledge from a broad variety of sources, such as books, internet resources, and other players, in order to make accurate guesses and put them into action. In order to carry out these acts, a high level of cognitive capacity is required, and it is via intelligencebased learning that new ways of thinking are developed. "Thought" is defined as "consciousness" in scientific contexts, which in turn characterize it as "experience" of an object in its whole.

Machine Learning Application And Challenges

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Author : Prateek Agrawal
language : en
Publisher: Xoffencer international book publication house
Release Date : 2024-08-22

Machine Learning Application And Challenges written by Prateek Agrawal and has been published by Xoffencer international book publication house this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-22 with Computers categories.

Machine learning, often known as ML, has brought about a revolution in a variety of industries by empowering computers to recognize patterns and draw conclusions from data without the need for explicit programming. Applications of this technology include a wide range of domains, including healthcare, where it is used to assist in the diagnosis of illnesses, the prediction of patient outcomes, and the customization of treatment programs. ML models improve the identification of fraudulent activity, algorithmic trading, and risk assessment in the financial sector. In addition, the technology is used to power recommendation systems in the entertainment and e-commerce industries, which serve to optimize user experiences by anticipating preferences. When it comes to autonomous cars, machine learning algorithms evaluate enormous volumes of sensor data in order to navigate and make judgments in real time. The application of machine learning, on the other hand, confronts substantial hurdles. Both the quality and amount of the data are very important; faulty models might be the result of lacking or biased data. An additional challenge is ensuring that complicated models are both transparent and interpretable. This is particularly important in key applications such as healthcare and finance, where it is essential to have a solid grasp of decision-making processes. There are also worries over privacy that occur as a result of the enormous data collecting that is necessary, which calls for stringent data security measures. In addition, the incorporation of machine learning systems into preexisting infrastructures may be a difficult and expensive process, requiring a significant amount of computing resources and a high level of knowledge. The continual breakthroughs in machine learning research and technology continue to increase its potential and application, providing creative solutions across a variety of areas, altering industries, and solving complex global concerns. This is despite the hurdles that have been presented. The continual breakthroughs in machine learning research and technology continue to increase its potential and application, providing creative solutions across a variety of areas, altering industries, and solving complex global concerns. This is despite the hurdles that have been presented. In the field of climate science, for instance, machine learning is used to model and forecast weather patterns, monitor deforestation, and maximize the utilization of renewable energy sources. The use of precision farming methods, the prediction of yield outcomes, and the monitoring of plant health are all ways in which it improves crop management with regard to agriculture.

Encyclopedia Of Data Science And Machine Learning

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Author : Wang, John
language : en
Publisher: IGI Global
Release Date : 2023-01-20

Encyclopedia Of Data Science And Machine Learning written by Wang, John and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-20 with Computers categories.

Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.

The Role Of Ai In Battery Management Of Electric Vehicles

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Author : Dr. Manish K. Saini
language : en
Publisher: Xoffencerpublication
Release Date : 2024-03-07

The Role Of Ai In Battery Management Of Electric Vehicles written by Dr. Manish K. Saini and has been published by Xoffencerpublication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-07 with Juvenile Nonfiction categories.

It is unfortunate that the rapid growth of the economy has resulted in problems such as pollution, traffic congestion, and energy shortages, all of which have contributed to a decline in the quality of life of the general population. As a result of its low emissions, energy consumption, and pollution levels, new energy cars have caught the attention of numerous national governments throughout the globe. In China, these vehicles have reached a national strategic level. Every year, China's dependency on crude oil that is imported from other countries increases. According to the National Energy Administration, China's dependency on imported crude oil reached 73% in the year 2020. This has a major effect on energy security since it is higher than the universally accepted threshold of 50% for energy security. Considering that China is experiencing a shortage of energy, the country puts a high strategic significance on the research and development of vehicles that utilize new energy. A public statement of China's national objectives has been made in recent years. These targets include attaining carbon neutrality in the year 2060 and reaching a carbon peak in the year 2030. In terms of the long-term sustainability of the automotive industry, new energy vehicles are the connecting element that holds everything together. In order to address the energy and environmental issues, the development of alternative-energy vehicles is a potential answer. To restate, China will not be able to achieve its goal of being carbon neutral unless it makes significant investments in alternative fuel vehicles. This is due to the fact that there is no amount of hype about a new energy revolution. The term "new energy vehicle" refers to a vehicle that incorporates the most recent advancements in power control and drive technology with the established technology that is present in traditional cars. The power generation process is accomplished by the utilisation of unconventional vehicle fuel or a mix of conventional vehicle gasoline and an on-board power plant.

Hands On Machine Learning With Scikit Learn Keras And Tensorflow

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Author : Aurélien Géron
language : en
Publisher: O'Reilly Media
Release Date : 2019-09-05

Hands On Machine Learning With Scikit Learn Keras And Tensorflow written by Aurélien Géron and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-05 with Computers categories.

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets

Artificial Intelligence And Machine Learning Concepts Tools And Case Studies

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Author :
language : en
Publisher: Chyren Publication
Release Date : 2025-06-25

Artificial Intelligence And Machine Learning Concepts Tools And Case Studies written by and has been published by Chyren Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-25 with Antiques & Collectibles categories.

Smart Computing And Communication

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Author : Meikang Qiu
language : en
Publisher: Springer Nature
Release Date : 2022-03-14

Smart Computing And Communication written by Meikang Qiu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-14 with Computers categories.

This book constitutes the proceedings of the 6th International Conference on Smart Computing and Communication, SmartCom 2021, which took place in New York City, USA, during December 29–31, 2021.* The 44 papers included in this book were carefully reviewed and selected from 165 submissions. The scope of SmartCom 2021 was broad, from smart data to smart communications, from smart cloud computing to smart security. The conference gathered all high-quality research/industrial papers related to smart computing and communications and aimed at proposing a reference guideline for further research. * Conference was held online due to the COVID-19 pandemic.

Choosing Chinese Universities

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Author : Alice Y.C. Te
language : en
Publisher: Routledge
Release Date : 2022-10-07

Choosing Chinese Universities written by Alice Y.C. Te and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-07 with Education categories.

This book unpacks the complex dynamics of Hong Kong students’ choice in pursuing undergraduate education at the universities of Mainland China. Drawing on an empirical study based on interviews with 51 students, this book investigates how macro political/economic factors, institutional influences, parental influence, and students’ personal motivations have shaped students’ eventual choice of university. Building on Perna’s integrated model of college choice and Lee’s push-pull mobility model, this book conceptualizes that students’ border crossing from Hong Kong to Mainland China for higher education is a trans-contextualized negotiated choice under the "One Country, Two Systems" principle. The findings reveal that during the decision-making process, influencing factors have conditioned four archetypes of student choice: Pragmatists, Achievers, Averages, and Underachievers. The book closes by proposing an enhanced integrated model of college choice that encompasses both rational motives and sociological factors, and examines the theoretical significance and practical implications of the qualitative study. With its focus on student choice and experiences of studying in China, this book’s research and policy findings will interest researchers, university administrators, school principals, and teachers.