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Sinopsis
Unlock the power of data-driven decision-making with "Machine Learning for Business: Implement Data-Driven Solutions with Python" by Thompson Carter. This groundbreaking guide is your key to harnessing the transformative potential of artificial intelligence in today's competitive business landscape.
In this cutting-edge book, you'll discover:
• How to leverage Python, the most versatile programming language, to create robust machine learning models
• Step-by-step tutorials for implementing real-world business solutions
• Strategies for optimizing operations, predicting market trends, and personalizing customer experiences
• Techniques to analyze big data and extract actionable insights
• Methods for automating complex processes and increasing efficiency
Whether you're a business leader, data scientist, or aspiring entrepreneur, this book will equip you with the skills to revolutionize your business through the power of machine learning. Don't let your competition outpace you in the AI race – grab your copy today and transform your business for the digital age!
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MACHINE LEARNING FOR BUSINESS: Implement Data-Driven Solutions with Python
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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MACHINE LEARNING FOR BUSINESS: Implement Data-Driven Solutions with Python
Impresión bajo demandaLibrería: California Books, Miami, FL, Estados Unidos de America
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Machine Learning for Business (Paperback)
Librería: CitiRetail, Stevenage, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. Unlock the power of data-driven decision-making with "Machine Learning for Business: Implement Data-Driven Solutions with Python" by Thompson Carter. This groundbreaking guide is your key to harnessing the transformative potential of artificial intelligence in today's competitive business landscape. In this cutting-edge book, you'll discover: - How to leverage Python, the most versatile programming language, to create robust machine learning models- Step-by-step tutorials for implementing real-world business solutions- Strategies for optimizing operations, predicting market trends, and personalizing customer experiences- Techniques to analyze big data and extract actionable insights- Methods for automating complex processes and increasing efficiency Whether you're a business leader, data scientist, or aspiring entrepreneur, this book will equip you with the skills to revolutionize your business through the power of machine learning. Don't let your competition outpace you in the AI race - grab your copy today and transform your business for the digital age! Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798304049207
Cantidad disponible: 1 disponibles
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Machine Learning for Business (Paperback)
Librería: Grand Eagle Retail, Fairfield, OH, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. Unlock the power of data-driven decision-making with "Machine Learning for Business: Implement Data-Driven Solutions with Python" by Thompson Carter. This groundbreaking guide is your key to harnessing the transformative potential of artificial intelligence in today's competitive business landscape. In this cutting-edge book, you'll discover: - How to leverage Python, the most versatile programming language, to create robust machine learning models- Step-by-step tutorials for implementing real-world business solutions- Strategies for optimizing operations, predicting market trends, and personalizing customer experiences- Techniques to analyze big data and extract actionable insights- Methods for automating complex processes and increasing efficiency Whether you're a business leader, data scientist, or aspiring entrepreneur, this book will equip you with the skills to revolutionize your business through the power of machine learning. Don't let your competition outpace you in the AI race - grab your copy today and transform your business for the digital age! Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798304049207
Cantidad disponible: 1 disponibles