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OCR AS and A Level Computer Science

Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models

Driving data quality with data contracts: a comprehensive guide to building reliable, trusted and effective data platforms

Machine Learning for Emotion Analysis: Understand the Emotion Behind Every Story

Algorithmen: in Java

Informatik: Eine Einfuhrende Ubersicht Zweiter Teil - 91

Handbuch fur die Telekommunikation

Grundkurs SAP R/3(R): Lern- und Arbeitsbuch mit durchgehendem Fallbeispiel - Konzepte, Vorgehensweisen und Zusammenhange mit Geschaftsprozessen

Grundkurs Betriebssysteme: Architekturen, Betriebsmittelverwaltung, Synchronisation, Prozesskommunikation

Client/server-Architektur: Organisation und Methodik der Anwendungsentwicklung

Management von IT-Architekturen: Informationssysteme im Fokus von Architekturplanung und -entwicklung

Vorkurs Informatik: Der Einstieg ins Informatikstudium

Einfuhrung in Die Stochastik: Mit Elementen Der Bayes-statistik Und Ansatzen Fur Die Analyse Unscharfer Daten

SPSS fur Windows: Datenanalyse unter Windows

Programmentwicklung

Vorlesungen Uber Informatik: Band 2: Objektorientiertes Programmieren Und Algorithmen

Die Doktorarbeit: Vom Start zum Ziel: Lei(d)tfaden fur Promotionswillige

Informatik Fur Ingenieure: C/c++, Mikrocomputertechnik, Datennetze

The statistics and machine learning with R workshop: the essential guide on efficient and effective modeling for data scientists

Azure Data Factory Cookbook: A data engineer's guide to building and managing ETL and ELT pipelines with data integration

Data ingestion with Python cookbook: a practical guide helping you ingest, monitor, and identify errors in the data ingestion process

Data wrangling with SQL: a hands-on guide to manipulating, wrangling, and engineering data using SQL

Natural language understanding with Python: building human-like understanding with large language models

Data Labeling in Machine Learning with Python: Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models

Handbook of Mathematical Models with Python: Elevate your machine learning projects with NetworkX, PuLP, and linalg

Deep learning with MXNet cookbook: deep dive into a variety of recipes to build, train, and deploy scalable AI models on Apache MXNet

Creators of Intelligence: Industry Secrets from AI Leaders That Can Be Easily Applied to Build and Ace Your Data Science Career

Management der Software-Entwicklung: Projektkompass fur die Erstellung von leistungsfahigen IT-Systemen

Algorithmische Konzepte Der Informatik: Berechenbarkeit, Komplexitatstheorie, Algorithmik, Kryptographie. Eine Einfuhrung

Data Engineering With AWS: Acquire the Skills to Design and Build AWS-Based Data Transformation Pipelines Like a Pro

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