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➽ AI-Assisted Programming for Web and Machine Learning: Unlock the power of AI-assisted programming to streamline web development and machine learning. Learn to enhance frontend and backend coding, optimize ML models, and automate tasks using GitHub Copilot and ChatGPT. Perfect for boosting productivity and refining workflows. Start your free trial for access, renewing at $19.99/month.
➽ Machine Learning and Generative AI for Marketing: Leverage AI and Python to revolutionize your marketing strategies with predictive analytics and personalized content creation. Learn to combine advanced segmentation techniques and generative AI to boost customer engagement while ensuring ethical AI practices. Perfect for driving real business growth. Start your free trial for access, renewing at $19.99/month.
➽ Amazon DynamoDB - The Definitive Guide: Master Amazon DynamoDB with this comprehensive guide, learning key-value data modeling, optimized strategies for transitioning from RDBMS, and efficient read consistency. Discover advanced techniques like caching and analytics integration with AWS services to boost performance, while minimizing latency and costs. Start your free trial for access, renewing at $19.99/month.
➽ Microsoft Power BI Performance Best Practices - Second Edition: Master Power BI performance optimization with this guide, learning to build efficient data models, apply row-level security, and troubleshoot issues using DAX Studio and VertiPaq Analyzer. Implement formal performance management strategies to ensure scalable, high-performing solutions. Start your free trial for access, renewing at $19.99/month.
➽ Polars Cookbook: Unlock faster, more efficient data analysis with Python Polars through step-by-step recipes. Master data manipulation, advanced querying, and performance optimization. Learn to handle large datasets, perform complex transformations, and integrate Polars with other tools. Start your free trial for access, renewing at $19.99/month.
➽ 15 Math Concepts Every Data Scientist Should Know: Master key data science algorithms through Python-based examples, boosting your solutions by applying and creating algorithms. Learn foundational and advanced mathematical techniques for solving real-world data challenges, with practical Python applications. Start your free trial for access, renewing at $19.99/month.
➽ Generative AI-Powered Assistant for Developers: Unlock the full potential of Amazon Q Developer with this comprehensive guide. Learn to auto-generate code across multiple languages, enhance productivity, and streamline workflows with generative AI. Includes real-world examples with AWS integration tips. Start your free trial for access, renewing at $19.99/month.
➽ Python Feature Engineering Cookbook - Third Edition: Streamline your machine learning workflows with this comprehensive guide to feature engineering. Learn to craft powerful features from tabular, transactional, and time-series data, develop reproducible pipelines, and optimize transformations to save time. Includes real-world examples for practical application. Start your free trial for access, renewing at $19.99/month.
Eager for more insights? Add these powerful resources to your reading list.
➽ Bayesian Analysis with Python - Third Edition: Gain hands-on expertise in Bayesian modeling with PyMC, Bambi, and ArviZ. Explore hierarchical models, regression, and BART while applying best practices through practical exercises. Perfect for mastering real-world data science challenges. Includes a free PDF with book purchase.
➽ Multiphysics Modeling Using COMSOL 5 and MATLAB: Master COMSOL and MATLAB integration with this comprehensive guide. Learn to set up and solve multiphysics models, from 0D to 3D, through practical examples. Advanced techniques like bioheat and Perfectly Matched Layer models are included, enhancing real-world engineering applications.
➽ Python 3 Data Visualization Using ChatGPT / GPT-4: Master Python programming and data visualization with this comprehensive guide. Learn fundamentals and advanced techniques using libraries like Matplotlib and Seaborn. Explore AI integration with ChatGPT/GPT-4 for dynamic visualizations. Companion files with code, datasets, and figures enhance your hands-on learning experience, making this an essential resource for data scientists and Python practitioners.
➽ Dealing With Data Pocket Primer: This complete guide covers data science fundamentals, from probability and statistics to advanced NLP and data visualization. Featuring practical examples, clear explanations, and companion files with source code, it’s the perfect resource for mastering data management and analysis efficiently.
Here are some more fresh reads, handpicked just for you:
⏩ Data Visualization for Business Decisions
⏩ Enterprise Transformation to Artificial Intelligence and the Metaverse
⏩ Python 3 and Data Visualization