{"product_id":"ai-for-data-scientists-optimize-your-machine-learning-pipelines-9798308809005","title":"AI for Data Scientists: Optimize Your Machine Learning Pipelines","description":"\u003cp\u003e • Author(s): Thompson Carter\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Artificial Intelligence - General\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eAI for Data Scientists: Optimize Your Machine Learning Pipelines\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eSupercharge your data science workflows with \u003ci\u003eAI for Data Scientists\u003c\/i\u003e, a practical guide to optimizing machine learning pipelines for efficiency, scalability, and performance. Whether you're a data scientist, ML engineer, or AI researcher, this book provides actionable insights into automating, fine-tuning, and deploying machine learning models effectively.\u003c\/p\u003e\u003cp\u003eFrom feature engineering to hyperparameter tuning, \u003ci\u003eAI for Data Scientists\u003c\/i\u003e covers cutting-edge techniques and tools to streamline your AI workflows and maximize model performance.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You'll Learn: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eOptimizing Data Pipelines: \u003c\/b\u003e Automate data cleaning, preprocessing, and transformation for scalable machine learning workflows.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eFeature Engineering Strategies: \u003c\/b\u003e Extract and select the most relevant features to enhance model accuracy and efficiency.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHyperparameter Tuning: \u003c\/b\u003e Use techniques like Grid Search, Random Search, and Bayesian Optimization to fine-tune model performance.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eAutomated Machine Learning (AutoML): \u003c\/b\u003e Leverage AutoML tools like H2O.ai, Google AutoML, and Auto-Sklearn to streamline model selection and training.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eModel Selection \u0026amp; Evaluation: \u003c\/b\u003e Choose the best algorithms using cross-validation, AUC-ROC curves, and precision-recall metrics.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eParallel and Distributed Computing: \u003c\/b\u003e Speed up data processing and model training using tools like Dask, Spark, and TensorFlow.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eEnsemble Learning: \u003c\/b\u003e Combine multiple models using techniques like bagging, boosting, and stacking for improved predictive accuracy.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eDeep Learning Pipelines: \u003c\/b\u003e Build and optimize deep learning workflows using TensorFlow, PyTorch, and Keras.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMLOps \u0026amp; CI\/CD for ML Models: \u003c\/b\u003e Implement continuous integration and deployment pipelines for production-ready AI systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eAI Model Monitoring \u0026amp; Maintenance: \u003c\/b\u003e Track model performance over time and detect data drift to ensure long-term reliability.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eExplainable AI (XAI): \u003c\/b\u003e Improve model transparency using SHAP, LIME, and other interpretability techniques.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eEthical AI \u0026amp; Bias Mitigation: \u003c\/b\u003e Identify and reduce algorithmic bias to build fair and responsible AI systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eReal-World AI Applications: \u003c\/b\u003e Apply AI-powered solutions to business intelligence, healthcare, finance, and marketing analytics.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eWho Is This Book For?\u003c\/b\u003e\u003cbr\u003eThis book is perfect for data scientists, machine learning engineers, and AI professionals looking to optimize ML workflows, improve model efficiency, and streamline deployment.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhy Choose This Book?\u003c\/b\u003e\u003cbr\u003eWith its hands-on approach, real-world examples, and deep technical insights, \u003ci\u003eAI for Data Scientists\u003c\/i\u003e bridges the gap between machine learning theory and practical AI implementation.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eStart optimizing your machine learning workflows today with \u003ci\u003eAI for Data Scientists: Optimize Your Machine Learning Pipelines\u003c\/i\u003e-your essential guide to efficient AI model development.\u003c\/b\u003e\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":45554024513687,"sku":"9798308809005","price":1806.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798308809005.webp?v=1768587542","url":"https:\/\/atlanticbooks.com\/products\/ai-for-data-scientists-optimize-your-machine-learning-pipelines-9798308809005","provider":"Atlantic Books","version":"1.0","type":"link"}