کتاب زبان انگلیسی لو کد ای آی
زبان انگلیسی
کتاب زبان انگلیسی Low Code AI اثر Gwendolyn Stripling توسط انتشارات O'Reilly Media به چاپ رسیده است.
Take a data-first and use-case-driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems.
Business and data analysts get a project-based introduction to ML/AI using a detailed, data-driven approach: loading and analyzing data; feeding data into an ML model; building, training, and testing; and deploying the model into production. Authors Michael Abel and Gwendolyn Stripling show you how to build machine learning models for retail, healthcare, financial services, energy, and telecommunications.
چرا خرید از آژانس کتاب؟
خرید از آژانس کتاب به شما این اطمینان را می‌دهد که نسخه اصلی و به‌روز کتاب زبان انگلیسی Low Code AI چاپ سیاه و سفید را دریافت خواهید کرد. ما با ارائه خدمات سریع، ارسال امن و قیمت مناسب، تجربه خریدی آسان و مطمئن را برای شما فراهم می‌آوریم.
برای خرید این کتاب و مشاهده کتاب‌های دیگر، به فروشگاه آنلاین آژانس کتاب مراجعه کنید.
کتاب زبان انگلیسی Low Code AI اثر Gwendolyn Stripling توسط انتشارات O'Reilly Media به چاپ رسیده است.
Take a data-first and use-case-driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems.
Business and data analysts get a project-based introduction to ML/AI using a detailed, data-driven approach: loading and analyzing data; feeding data into an ML model; building, training, and testing; and deploying the model into production. Authors Michael Abel and Gwendolyn Stripling show you how to build machine learning models for retail, healthcare, financial services, energy, and telecommunications.
