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Scrolling tab | Developing AI models with the Python Machine Learning client for SAP HANA

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cleanFiles/bookmap_Developing_AI_models_with_the_Machine_Lear_en-US_learning-sap-com_lsc-prod.zip (MMCP-DROPZONE) - 2024-10-24T11:21:34.000Z

Understanding the Foundations of Data Analysis and Predictive Modeling

Applying Classification, Regression, and Time Series Analysis

Assessment

Carrying out Data Analysis and Predictive Modeling

Distinguishing Between Supervised and Unsupervised Learning

Implementing a Machine Learning Workflow

Navigating Machine Learning: Supervised vs. Unsupervised and Workflow Implementation

Developing AI Models with the Python Machine Learning Client for SAP HANA

Desarrollo de modelos de IA con el cliente de aprendizaje automático de Python para SAP HANA

Développement de modèles d'IA avec le client d'apprentissage automatique Python pour SAP HANA

Desenvolvimento de modelos de IA com o cliente de machine learning Python para SAP HANA

Python Machine Learning Client for SAP HANA を使用した AI モデルの開発

使用面向 SAP HANA 的 Python 机器学习客户端开发 AI 模型

SAP HANA용 Python 기계 학습 클라이언트를 통한 AI 모델 개발

KI-Modelle mit dem Python-Client für maschinelles Lernen für SAP HANA entwickeln

At the end of this course, participants will be able to understand how machine learning is implemented in SAP HANA with regression, classification and time series analysis, by using the relevant SAP HANA libraries, SAP HANA Predictive Analysis Library (PAL) and SAP HANA Automated Predictive Library (APL).

1_ke44kxx9 (video-connector) - 2024-07-26T08:54:49.807Z

Developing AI models with the Machine Learning clients for SAP HANA

Are you a developer or a data scientist eager to develop AI models using the Python Machine Learning Client for SAP HANA? Then this course is made just for you. Introducing developing AI models with the Python Machine Learning Client for SAP HANA, a self-paced learning journey designed to enhance your skills. Learn to proficiently utilise powerful machine learning functions, such as the ones in the Automated Predictive Library, APL, and the Predictive Analysis Library, PAL, to perform regression, classification and time series analysis. Gain a comprehensive understanding of the fundamental concepts and practical applications of HANA's embedded machine learning libraries. By the end of this learning journey, you'll be able to confidently integrate these capabilities into your machine learning software projects. As developers and data scientists, you'll discover how to use the Python machine learning client for SAP HANA to build and train regression classification and time series models. So what are you waiting for? Embark on this transformative journey and become a leader in the AI-driven future. Enroll now and start your path to mastering AI with SAP HANA. Join us today and shape the future of technology.