Machine Learning Approaches for Evaluating Statistical Information in the Agricultural Sector
Vitor Joao Pereira Domingues Martinho
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Ameya Deshpande
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Learn Data Science from Scratch : Mastering ML and NLP with Python in a step-by-step approach
Pratheerth Padman
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Building Transformer Models with PyTorch 2.0 : NLP, computer vision, and speech processing with PyTorch and Hugging Face
Prem Timsina
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Learn Python Generative AI : Journey from autoencoders to transformers to large language models
Zonunfeli Ralte
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Modern Data Mining with Python : A risk-managed approach to developing and deploying explainable and efficient algorithms using ModelOps
Dushyant Singh Sengar
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Optimizing AI and Machine Learning Solutions : Your ultimate guide to building high-impact ML/AI solutions
Mirza Rahim Baig
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Practical Tableau : 100 Tips, Tutorials, and Strategies from a Tableau Zen Master
Ryan Sleeper
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Marcos Lopez de Prado
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Machine Learning for Hackers
Drew Conway
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Daniel Drescher
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Phil Bernstein
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Eric, M.D. Topol
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Visualize This : The FlowingData Guide to Design, Visualization, and Statistics
Nathan (UCLA) Yau
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Mary Lacity
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Grokking Deep Reinforcement Learning
Miguel Morales
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Thomas H. Davenport
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Text Mining with R
Julia Silge
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Add to BasketElements of Causal Inference : Foundations and Learning Algorithms
Jonas (Associate Professor of Statistics, University of Copenh Peters
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Grokking Deep Learning
Andrew W Trask
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