Zero To Machine Learning Hero
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Machine Learning Hero
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Author : Cuantum Technologies LLC
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-01-16
Machine Learning Hero written by Cuantum Technologies LLC and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-16 with Computers categories.
Learn machine learning through hands-on Python projects, covering core concepts, essential libraries, and real-world applications for aspiring data scientists. Key Features Comprehensive coverage of machine learning fundamentals and advanced topics Real-world projects to apply skills in practical scenarios Integration of Python libraries for data science and AI development Book DescriptionThis book takes you on a journey through the world of machine learning, beginning with foundational concepts such as supervised and unsupervised learning, and progressing to advanced topics like feature engineering, hyperparameter tuning, and dimensionality reduction. Each chapter blends theory with practical exercises to ensure a deep understanding of the material. The book emphasizes Python, introducing essential libraries like NumPy, Pandas, Matplotlib, and Scikit-learn, along with deep learning frameworks like TensorFlow and PyTorch. You’ll learn to preprocess data, visualize insights, and build models capable of tackling complex datasets. Hands-on coding examples and exercises reinforce concepts and help bridge the gap between knowledge and application. In the final chapters, you'll work on real-world projects like predictive analytics, clustering, and regression. These projects are designed to provide a practical context for the techniques learned and equip you with actionable skills for data science and AI roles. By the end, you'll be prepared to apply machine learning principles to solve real-world challenges with confidence.What you will learn Build machine learning models using Python libraries Apply feature engineering and preprocessing techniques Visualize datasets with Matplotlib and Seaborn Optimize machine learning models with hyperparameter tuning Implement clustering and dimensionality reduction methods Work on real-world projects for practical experience Who this book is for Aspiring data scientists, software developers, and tech enthusiasts seeking to master machine learning concepts and Python libraries. Basic Python knowledge is recommended but not required, as foundational topics are covered.
Zero To Machine Learning Hero
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Author : HUSN. ARA
language : en
Publisher:
Release Date : 2024
Zero To Machine Learning Hero written by HUSN. ARA and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.
Zero To Hero In Machine Learning
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Author : Ravindu Perera
language : en
Publisher:
Release Date : 2020-05-20
Zero To Hero In Machine Learning written by Ravindu Perera and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-20 with categories.
Machine Learning is just not a topic for computer science geeks. There's no area that ML can't be applied. These days ML is used in banking, astronomy, medicare, transportation, agriculture, fashion designing, IoT and robotics sector etc. So there's no limit for ML applications and this is still one of the main research areas. So there will be so many improvements in the near future.You don't need any previous ML knowledge to refer this book because this book targets every beginner in ML and Data Science domain such as enthusiastic kids, school ICT students, university students, business analysts, business developers and marketing officers.In "Zero to Hero in Machine Learning" book, we learn*What ML is*ML types*ML algorithms*How to use Jupyter Notebook for coding and Azure Notebooks*How to work with images and a little bit in computer vision*The step by step procedure to train a machine*Data science techniques*How some regression and classification algorithms really works*To train a machine by coding in Azure Notebooks.*How to improve your machine learning and data science skills
Artificial Intelligence Based Design Of Reinforced Concrete Structures
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Author : Won-Kee Hong
language : en
Publisher: Elsevier
Release Date : 2023-04-29
Artificial Intelligence Based Design Of Reinforced Concrete Structures written by Won-Kee Hong and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-29 with Technology & Engineering categories.
Artificial Intelligence-Based Design of Reinforced Concrete Structures: Artificial Neural Networks for Engineering Applications is an essential reference resource for readers who want to learn how to perform artificial intelligence-based structural design. The book describes, in detail, the main concepts of ANNs and their application and use in civil and architectural engineering. It shows how neural networks can be established and implemented depending on the nature of a broad range of diverse engineering problems. The design examples include both civil and architectural engineering solutions, for both structural engineering and concrete structures. Those who have not had the opportunity to study or implement neural networks before will find this book very easy to follow. It covers the basic network theory and how to formulate and apply neural networks to real-world problems. Plenty of examples based on real engineering problems and solutions are included to help readers better understand important concepts. - Helps civil engineers understand the fundamentals of AI and ANNs and how to apply them in simple reinforced concrete design cases - Contains practical case study examples on the application of AI technology in structural engineer - Teaches readers how to apply ANNs as solutions for a broad range of engineering problems - Includes AI-based software [MATLAB], which will enable readers to verify AI-based examples
Introducing Machine Learning
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Author : Dino Esposito
language : en
Publisher: Microsoft Press
Release Date : 2020-01-31
Introducing Machine Learning written by Dino Esposito and has been published by Microsoft Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-31 with Computers categories.
Master machine learning concepts and develop real-world solutions Machine learning offers immense opportunities, and Introducing Machine Learning delivers practical knowledge to make the most of them. Dino and Francesco Esposito start with a quick overview of the foundations of artificial intelligence and the basic steps of any machine learning project. Next, they introduce Microsoft’s powerful ML.NET library, including capabilities for data processing, training, and evaluation. They present families of algorithms that can be trained to solve real-life problems, as well as deep learning techniques utilizing neural networks. The authors conclude by introducing valuable runtime services available through the Azure cloud platform and consider the long-term business vision for machine learning. · 14-time Microsoft MVP Dino Esposito and Francesco Esposito help you · Explore what’s known about how humans learn and how intelligent software is built · Discover which problems machine learning can address · Understand the machine learning pipeline: the steps leading to a deliverable model · Use AutoML to automatically select the best pipeline for any problem and dataset · Master ML.NET, implement its pipeline, and apply its tasks and algorithms · Explore the mathematical foundations of machine learning · Make predictions, improve decision-making, and apply probabilistic methods · Group data via classification and clustering · Learn the fundamentals of deep learning, including neural network design · Leverage AI cloud services to build better real-world solutions faster About This Book · For professionals who want to build machine learning applications: both developers who need data science skills and data scientists who need relevant programming skills · Includes examples of machine learning coding scenarios built using the ML.NET library
Modern Electronics Devices And Communication Systems
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Author : Rajeev Agrawal
language : en
Publisher: Springer Nature
Release Date : 2023-02-18
Modern Electronics Devices And Communication Systems written by Rajeev Agrawal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-18 with Technology & Engineering categories.
This book presents select and peer-reviewed proceedings of the International Conference on Smart Communication and Imaging Systems (MEDCOM 2021). The contents explore the recent technological advances in the field of next-generation electronics devices and communication systems. The topics include the design and development of smart, secure, and reliable future communication networks; satellite, radar, and microwave techniques for intelligent communication. The book also covers methods and applications of GIS and remote sensing; medical image analysis and its applications in smart health. This book can be useful for students, researchers, and professionals working in the field of communication systems and image processing.
Exponential Progress
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Author : Farabi Shayor
language : en
Publisher: IntelXSys
Release Date : 2020-05-15
Exponential Progress written by Farabi Shayor and has been published by IntelXSys this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-15 with Science categories.
Authored by London-based Chartered Scientist, Exponential Progress takes readers on a journey through over seven decades of progress, as technology has shaped and controlled everything from banking and business to education, medicine, and the very basis of the human genome. It is a must read for anyone look to learn about fascinating emerging technologies that will disrupt our lives over the next ten years. ★★★★★ Humanity is progressing towards a world that will be dominated by the end-results the scientific inventions that will evolve over the next decade. Technological progress has accelerated over the past decade – it was slow and buggy at the beginning, but the rate of improvement is now exponential. The growth is accelerating faster than we could have ever imagined. From a business perspective, these ground-breaking technologies are expected to be the best investments for the next decade. That is why investors and entrepreneurs are tenacious to grow rapidly. But where did it all start? How far have we come in the past 70 years since we developed the first digital computer? Thousands of innovators are in the process of developing the building blocks of these technologies, that will radically grow over the next decade and potentially dominate the century. But now, civilisation has reached a point when this progress cannot be controlled. The author cuts to the core of what humanity has achieved since the invention of the digital computer, where the new jaw-dropping technological innovation will come from, and where the line is drawn between fact and fad.★★ This nonfiction meticulously looks back at the history, analyse current progress and what the researchers have achieved until now. The author attempts to comprehend the need for advancement and in parallel, the potential over the next decade, and reflecting on the necessity of control. If you are interested in new technologies, this will be one of the best books to read. ◆◆Prepared to be mind-blown with the ideas you are going to find.◆◆ Farabi, the author of Exponential Progress, is the Head of Research at IntelXSys™ and working as one of the Research Experience Leads for Clinical Research and Innovation (CRI) module at the Imperial College London. He has worked with over 100 companies as a technology consultant and spoken at a number of international conferences around the world.
Artificial Neural Network Based Designs Of Prestressed Concrete And Composite Structures
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Author : Won‐Kee Hong
language : en
Publisher: CRC Press
Release Date : 2023-09-25
Artificial Neural Network Based Designs Of Prestressed Concrete And Composite Structures written by Won‐Kee Hong and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-25 with Technology & Engineering categories.
This book introduces artificial neural network (ANN)-based Lagrange optimization techniques for a structural design of prestressed concrete structures based on Eurocode 2, and composite structures based on American Institute of Steel Construction and American Concrete Institute standards. The book provides robust design charts for prestressed concrete structures, which are challenging to achieve using conventional design methods. Using ANN-based design charts, the holistic design of a post-tensioned beam is performed to optimize design targets (objective functions), while calculating 21 forward outputs, in arbitrary sequences, from 21 forward inputs. Applies the powerful tools of ANN to the optimization of prestressed concrete structures and composite structures including columns and beams Multi-objective optimizations (MOO) of prestressed concrete beams are performed using an ANN-based Lagrange algorithm Offers a Pareto frontier using an ANN-based MOO for composite beams and composite columns sustaining multi-biaxial loads Heavily illustrated in color and with diverse practical design examples in line with EC2, ACI, and ASTM codes The book offers optimal solutions for structural designers and researchers, enabling readers to construct design charts to minimize their own design targets under various design requirements based on any design code.
Data Intelligence And Cognitive Informatics
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Author : I. Jeena Jacob
language : en
Publisher: Springer Nature
Release Date : 2021-01-08
Data Intelligence And Cognitive Informatics written by I. Jeena Jacob and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-08 with Technology & Engineering categories.
This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2020), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during 8–9 July 2020. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems.
Artificial Intelligence Programming With Python
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Author : Perry Xiao
language : en
Publisher: John Wiley & Sons
Release Date : 2022-02-21
Artificial Intelligence Programming With Python written by Perry Xiao and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-21 with Computers categories.
A hands-on roadmap to using Python for artificial intelligence programming In Practical Artificial Intelligence Programming with Python: From Zero to Hero, veteran educator and photophysicist Dr. Perry Xiao delivers a thorough introduction to one of the most exciting areas of computer science in modern history. The book demystifies artificial intelligence and teaches readers its fundamentals from scratch in simple and plain language and with illustrative code examples. Divided into three parts, the author explains artificial intelligence generally, machine learning, and deep learning. It tackles a wide variety of useful topics, from classification and regression in machine learning to generative adversarial networks. He also includes: Fulsome introductions to MATLAB, Python, AI, machine learning, and deep learning Expansive discussions on supervised and unsupervised machine learning, as well as semi-supervised learning Practical AI and Python “cheat sheet” quick references This hands-on AI programming guide is perfect for anyone with a basic knowledge of programming—including familiarity with variables, arrays, loops, if-else statements, and file input and output—who seeks to understand foundational concepts in AI and AI development.