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JAVA-ML Welcome to our collection of the latest and most popular Java and machine learning books. We feature titles covering topics like natural language processing, data engineering, Streamlit, dbt, data quality, and more. Whether you're looking to skill up with hands-on guides for practitioners or stay on top of the newest techniques with our bestselling releases, we've got you covered. Our catalog includes books for students just getting started as well as data scientists and developers seeking to take their knowledge to the next level. Learn from industry experts through practical examples and code samples you can apply to real-world projects right away. Supercharge your machine learning models and Java development workflow with insights from O'Reilly's top authors.

Popular Authors (10)

Raghav Bali

Raghav Bali is a Staff Data Scientist at Delivery Hero, a leading food delivery service headquartered in Berlin, Germany. With 12+ years of expertise, he specializes in research and development of enterprise-level solutions leveraging Machine Learning, Deep Learning, Natural Language Processing, and Recommendation Engines for practical business applications.nBesides his professional endeavors, Raghav is an esteemed mentor and an accomplished public speaker. He has contributed to multiple peer-reviewed papers and authored multiple well received books. Additionally, he holds co-inventor credits on multiple patents in healthcare, machine learning, deep learning, and natural language processing.

Most popular book of Raghav Bali

Generative AI with Python and PyTorch

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Serg Masís

Serg Masís has been at the confluence of the internet, application development, and analytics for the last two decades. Currently, he's a climate and agronomic data scientist at Syngenta, a leading agribusiness company with a mission to improve global food security. Before that role, he co-founded a start-up, incubated by Harvard Innovation Labs, that combined the power of cloud computing and machine learning with principles in decision-making science to expose users to new places and events. Whether it pertains to leisure activities, plant diseases, or customer lifetime value, Serg is passionate about providing the often-missing link between data and decision-making—and machine learning interpretation helps bridge this gap robustly.

Most popular book of Serg Masís

Interpretable Machine Learning with Python

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Amita Kapoor

Amita Kapoor, a seasoned expert in Artificial Intelligence, serves as the Chief Artificial Intelligence Officer at Retured, bringing over 25 years of experience in AI, data science, and neuroscience. Her consultancy, NePeur, stands testament to her leadership in applying AI across diverse industries, enhancing operational efficiency and business intelligence. Amita is also a devoted board member of Neuromatch Academy, where she plays a crucial role in making neuroscience and deep learning education accessible to all. Holding a PhD from the University of Delhi, she has dedicated her career to education, authoring numerous articles and papers, and creating impactful online classes. Her significant contributions extend to pioneering projects in intelligent vehicle fleet management, home surveillance through AI-powered face detection, and robust data anonymization solutions. Connect with Amita on LinkedIn.

Most popular book of Amita Kapoor

Hands-On Artificial Intelligence for IoT

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Mark J. Price

Mark J. Price is a Microsoft Specialist: Programming in C# and Architecting Microsoft Azure Solutions, with over 20 years' experience. Since 1993, he has passed more than 80 Microsoft programming exams and specializes in preparing others to pass them. Between 2001 and 2003, Mark was employed to write official courseware for Microsoft in Redmond, USA. His team wrote the first training courses for C# while it was still an early alpha version. While with Microsoft, he taught "train-the-trainer" classes to get other MCTs up-to-speed on C# and .NET. Mark holds a Computer Science BSc. Hons. Degree.

Most popular book of Mark J. Price

C# 13 and .NET 9 – Modern Cross-Platform Development Fundamentals

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Imran Ahmad

Imran Ahmad is the author of the “50 Algorithms every programmer should know”. He has been a part of cutting-edge research about algorithms and machine learning for many years. He completed his PhD in 2010, in which he proposed a new linear programming-based algorithm that can be used to optimally assign resources in a large-scale cloud computing environment. In 2017, Imran developed a real-time analytics framework named StreamSensing. He has since authored multiple research papers that use StreamSensing to process multimedia data for various machine learning algorithms. Imran is currently working at Advanced Analytics Solution Center (A2SC) at the Canadian Federal Government as a data scientist. He is using machine learning algorithms for critical use cases. Imran is a visiting professor at Carleton University, Ottawa. He has also been teaching for Google and Learning Tree for the last few years.

Most popular book of Imran Ahmad

50 Algorithms Every Programmer Should Know

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Yogesh Raheja, Thinknyx Technologies

Thinknyx® Technologies is a recognized brand providing IT consulting & implementation services, delivering comprehensive Information Technology and Soft Skills Trainings and providing Talent Acquisition (Recruitment) solutions to diverse organizations worldwide. With over a decade of core industry experience, they have successfully aided their customers in strategic planning and flawless execution of solutions around IT and Non-IT initiatives.nYogesh Raheja is the Founder and a senior Solutions Architect at Thinknyx Technologies and an instructor of video courses. Yogesh has been a trusted advisor for numerous organizations, guiding them through their DevOps journey, infrastructure as code, containerization, cloud computing, Automation solutions and AI/ML/Generative AI with his expertise. He has also authored several globally published books (like "Effective DevOps with AWS", "Automation with SaltStack", "Automation with Puppet 5" and "Automation with Ansible") published by Packt, Wiley, and OrangeAVA.

Most popular book of Yogesh Raheja, Thinknyx Technologies

AI Ecosystem for the Absolute Beginners - Hands-On

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Sebastian Raschka

Sebastian Raschka is an Assistant Professor of Statistics at the University of Wisconsin-Madison focusing on machine learning and deep learning research. As Lead AI Educator at Grid AI, Sebastian plans to continue following his passion for helping people get into machine learning and artificial intelligence.

Most popular book of Sebastian Raschka

Machine Learning with PyTorch and Scikit-Learn

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Maaike van Putten

Maaike is a software consultant and trainer with a passion for sharing her expertise to empower others in their careers. Her love for software development shows in the numerous software development projects she participated in and the many certifications she obtained. She has designed and delivered a broad spectrum of training courses catering to beginners and seasoned developers in Java, Python, C# and many other languages and frameworks. Next to that, she has authored multiple books and online courses through multiple platforms reaching over 500,000 learners across the globe.

Most popular book of Maaike van Putten

JavaScript from Beginner to Professional

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Tarek A. Atwan

Tarek A. Atwan is a data analytics expert with over 16 years of international consulting experience, providing subject matter expertise in data science, machine learning operations, data engineering, and business intelligence. He has taught multiple hands-on coding boot camps, courses, and workshops on various topics, including data science, data visualization, Python programming, time series forecasting, and blockchain at various universities in the United States. He is regarded as a data science mentor and advisor, working with executive leaders in numerous industries to solve complex problems using a data-driven approach.

Most popular book of Tarek A. Atwan

Time Series Analysis with Python Cookbook

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Laurence Svekis

Laurence Svekis is an experienced web application developer. He has worked on multiple enterprise-level applications, hundreds of websites, business solutions, and many unique and innovative web applications. He has expertise in HTML, CSS, JavaScript, jQuery, Bootstrap, PHP, and MySQL and is also passionate about web technologies, web application development, programming, and online marketing with a strong focus on social media and SEO. He is always willing to help his students experience what technology has to offer and looks forward to sharing his knowledge and experiences with the world.

Most popular book of Laurence Svekis

JavaScript from Beginner to Professional

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Popular Authors (10)

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