Navigating the Stock Market. A Practical Guide for Buying, Selling, and AI Risk Management

Mercury Learning and Information, Arshad Khan

This book is perfect for investors, financial analysts, and portfolio managers. It simplifies stock market investing, offering strategies and practical advice for all levels. Key topics include research, buying and selling strategies, and using AI for risk management. The book equips you with essential knowledge and tools for successful stock investing.The course begins with planning, research, and screening, then moves to buying strategies and identifying winning characteristics. It covers company and sector analysis, selling techniques, stock prices, valuation, profitability, market behavior, and technical analysis. Advanced topics include monitoring the economy, market indicators, and avoiding investment mistakes.Understanding these concepts is crucial for informed investment decisions. The final chapters focus on risk management and leveraging AI in stock investing, addressing AI risks and mitigation strategies. This book guides readers from basic to advanced stock market concepts, blending theory with practical skills, making it essential for mastering stock investing.

Google Gemini for Python. Coding with Bard: Mastering Python with Google's AI Tools

Mercury Learning and Information, Oswald Campesato

This book bridges Python 3 programming and Generative AI, equipping readers with the skills to navigate both domains confidently. It starts with Python basics, covering data types, number formatting, text manipulation, loops, functions, data structures, NumPy, Pandas, conditional logic, and reserved words. You'll also learn about handling user input, managing exceptions, and working with command-line arguments.The journey continues into Generative AI, distinguishing it from Conversational AI. It introduces popular platforms and models, including Bard (now called Gemini) and its competitors, providing insights into their capabilities, strengths, weaknesses, and applications. The final chapters show how to generate various Python 3 code samples using Gemini.Understanding these concepts is crucial for modern programming and AI applications. This book transitions readers from basic Python programming to advanced AI techniques, blending theoretical knowledge with practical skills. Companion files with source code and figures enhance the learning experience, making this an essential resource for mastering Python 3 and Generative AI.

The AI Marketing Playbook. Mastering the Latest AI Tools and Techniques for Next-Gen Marketing Success

Mercury Learning and Information, Mark Lamplugh

This book offers a comprehensive guide to integrating AI into modern marketing strategies, transforming how businesses engage with audiences. It begins with an overview of AI’s role in marketing, its evolution, and its benefits in driving innovation. Early chapters cover foundational topics like AI, machine learning, and data preparation for effective AI implementation.The book then explores practical applications, such as analyzing customer behavior for personalized experiences and using AI-powered chatbots for improved customer service. You’ll learn to apply image and video recognition for visual marketing and leverage AI for social media strategies that boost engagement. The book also covers predictive analytics, AI-driven email marketing, and techniques to optimize SEO and content marketing.Further chapters focus on automating marketing processes and using AI to support sales enablement with actionable insights. The final chapter discusses ethical considerations and the future of AI in marketing, emphasizing the balance between automation and human creativity. This book equips marketing professionals and business leaders with the tools to harness AI’s potential for impactful marketing strategies.

Python 3 and Data Analytics Pocket Primer. A Quick Guide to NumPy, Pandas, and Data Visualization

Mercury Learning and Information, Oswald Campesato

This book, part of the best-selling Pocket Primer series, introduces readers to the fundamental concepts of data analytics using Python 3. The course begins with a concise introduction to Python, covering essential programming constructs and data manipulation techniques. This foundation sets the stage for deeper dives into data analytics, emphasizing the importance of data cleaning, a critical step in any data analysis process.Following the Python basics, the course explores powerful libraries such as NumPy and Pandas for efficient data handling and manipulation. It then delves into statistical concepts, providing the necessary background for understanding data distributions and analytical methods. The course culminates in data visualization techniques using Matplotlib and Seaborn, demonstrating how to effectively communicate insights through graphical representations.Throughout the course, numerous code samples and practical examples are provided, reinforcing learning and offering hands-on experience. Companion files with source code and figures are available online, supporting the learning journey. This comprehensive guide equips both beginners and seasoned professionals with the skills needed to excel in data analytics.

Computational Physics. A Comprehensive Guide to Numerical Methods in Physics

Mercury Learning and Information, Darren Walker

This updated edition introduces computational physics for performing experiments on the computer. It provides a grounding in scientific programming with examples in the context of physics problems. Using C++ as the primary language, it covers interpolation, integration, and solving differential equations, from simple concepts to advanced topics. The book includes a chapter on high-performance computing and parallel programming.Understanding computational physics is crucial for data manipulation and real-world simulations. The book starts with introductory topics and progresses to advanced material, including a C++ library and sample programs. Readers will learn problem-solving methods and constructing models.This journey equips readers with skills for scientific tasks, demonstrating efficient problem-solving and model construction. The practical approach ensures users can apply these concepts in real-world scenarios, making it an essential resource for those interested in computational physics.

A.I. Revealed. Exploring AI foundations, advanced applications, and ethical considerations

Mercury Learning and Information, Erik Herman

Unlock the transformative power of artificial intelligence in this comprehensive journey through its foundational principles and practical applications. Start by grasping the essentials of AI and machine learning, progressing to advanced topics like deep learning, neural networks, and cutting-edge applications in natural language processing and computer vision. Each concept is delivered with real-world relevance, ensuring a clear understanding of the theory and its implementation.Dive deeper into the ethical dimensions of AI, exploring critical issues such as bias and fairness. Gain insights into how AI is revolutionizing industries through case studies, bridging the gap between theoretical knowledge and practical application. The course culminates with an exploration of emerging technologies and the future of AI, equipping you with foresight into its transformative potential.Whether you're taking your first steps in AI development or seeking to enhance your existing skills, this course offers a structured pathway to mastery. With hands-on guidance, you'll develop a robust foundation and confidence to contribute meaningfully in the rapidly evolving field of artificial intelligence.

Python 3 and Machine Learning Using ChatGPT / GPT-4. Harness the Power of Python, Machine Learning, and Generative AI

Mercury Learning and Information, Oswald Campesato

This book bridges the gap between theoretical knowledge and practical application in Python programming, machine learning, and using ChatGPT-4 in data science. It starts with an introduction to Pandas for data manipulation and analysis. The book then explores various machine learning classifiers, from kNN to SVMs. Later chapters cover GPT-4's capabilities, enhancing linear regression analysis, and using ChatGPT in data visualization, including AI apps, GANs, and DALL-E.The journey begins with mastering Pandas and machine learning fundamentals. It progresses to applying GPT-4 in linear regression and machine learning classifiers. The final chapters focus on using ChatGPT for data visualization, making complex results accessible and understandable.Understanding these concepts is crucial for modern data scientists. This book transitions readers from basic Python programming to advanced applications of ChatGPT-4 in data science. Companion files with source code, datasets, and figures enhance learning, making this an essential resource for mastering Python, machine learning, and AI-driven data visualization.

Embedded Vision. Mastering Advanced Techniques for Real-Time Image Processing and Analysis

Mercury Learning and Information, S. R. Vijayalakshmi, S. Muruganand

Embedded vision integrates computer vision into machines using algorithms to interpret images or videos. This book serves as an introductory guide for designing vision-enabled embedded products, with applications in AI, machine learning, industrial, medical, automotive, and more. It covers hardware architecture, software algorithms, applications, and advancements in cameras, processors, and sensors.The course begins with an overview of embedded vision, followed by industrial and medical vision applications. It then delves into video analytics, digital image processing, and camera-image sensors. Subsequent chapters cover embedded vision processors, computer vision, and AI integration. The final chapter presents real-time vision-based examples.Understanding these concepts is vital for developing advanced vision-enabled machines. This book takes readers from the basics to advanced topics, blending theoretical knowledge with practical applications. It is an essential resource for mastering embedded vision technology across various industries.