Machine Learning

manning.com / catalog / Data Science / Machine Learning
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Ajay Thampi , 2022
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Benjamin Soltoff , 2022
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Benjamin Soltoff , 2022
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Benjamin Soltoff , 2022
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Benjamin Soltoff , 2022
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Benjamin Soltoff , 2022
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Taurius Litvinavicius , 2022
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Mateusz Sadowski , 2022
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Mateusz Sadowski , 2022
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Mateusz Sadowski , 2022
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Qingquan Song, Haifeng Jin, and Xia Hu , 2022
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Omer Shlomovits , 2022
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Jonathan Peck and Alex Gascon , 2022
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Shaked Zychlinski , 2022
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Shaked Zychlinski , 2022
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Shaked Zychlinski , 2022
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Shaked Zychlinski , 2022
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Shaked Zychlinski , 2022
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Matheus Facure , 2022
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Matheus Facure , 2022
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Matheus Facure , 2022
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Matheus Facure , 2022
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Sujit Pal , 2022
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Sujit Pal , 2022
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Sujit Pal , 2022
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Sujit Pal , 2022
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Joris Limonier , 2022
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Abdullah Karasan , 2022
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Abdullah Karasan , 2022
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Stylios Kampakis and Shreesha Jagadeesh , 2022
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Stylios Kampakis and Shreesha Jagadeesh , 2022
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Stylios Kampakis and Shreesha Jagadeesh , 2022
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Stylios Kampakis and Shreesha Jagadeesh , 2022
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Stylios Kampakis and Shreesha Jagadeesh , 2022
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Jiahao Weng , 2022
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Jiahao Weng , 2022
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Xiaotian Han , 2021
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Aneesha Bakharia , 2021
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Aneesha Bakharia , 2021
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Dive into the transformative world of Machine Learning, where cutting-edge algorithms meet practical applications. From fundamental neural networks to advanced deep learning techniques, explore comprehensive resources that cover supervised, unsupervised, and reinforcement learning approaches. Master essential tools like TensorFlow, learn to build and deploy intelligent systems, and discover specialized applications in drug discovery, fraud detection, and anomaly identification. Delve into emerging technologies including Large Language Models (LLMs), transformers, and knowledge graphs, while gaining hands-on experience with computer vision, natural language processing, and automated decision-making systems. Whether you're interested in building chatbots, implementing computer vision solutions, or developing scalable machine learning platforms, find the expertise to turn data into actionable intelligence. For a more detailed breakdown, take a look at the following categories: Computer Vision Distributed Machine Learning Interpretable Machine Learning Knowledge Graphs Machine Learning Algorithms Natural Language Processing Natural Language Processing (NLP) Quantum Computing/Programming