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AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence
Introduces machine learning and artificial intelligence to programmers, primarily focusing on TensorFlow. It covers fundamental concepts such as neural networks, computer vision, and natural language processing (NLP), explaining how models learn from data rather than explicit rules. The text explores advanced topics like convolutional neural networks (CNNs) for image recognition, recurrent neural networks (RNNs) for sequence data and text generation, and techniques for time series prediction. Additionally, it details the deployment of TensorFlow Lite models on mobile platforms like Android and iOS, introduces TensorFlow.js for browser-based ML, discusses TensorFlow Serving for scalable model deployment, and addresses critical aspects of AI ethics, fairness, and federated learning.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Machine-Learning-Coders-Programmers-Intelligence/dp/1492078190?&linkCode=ll1&tag=cvthunderx-20&linkId=7fe6390276c1c9bb9463011e2a82a339&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Machine-Learning-Coders-Programmers-Intelligence/dp/1492078190?&linkCode=ll1&tag=cvthunderx-20&linkId=7fe6390276c1c9bb9463011e2a82a339&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
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By CyberSecurity Summary
2.2
55 ratings
Introduces machine learning and artificial intelligence to programmers, primarily focusing on TensorFlow. It covers fundamental concepts such as neural networks, computer vision, and natural language processing (NLP), explaining how models learn from data rather than explicit rules. The text explores advanced topics like convolutional neural networks (CNNs) for image recognition, recurrent neural networks (RNNs) for sequence data and text generation, and techniques for time series prediction. Additionally, it details the deployment of TensorFlow Lite models on mobile platforms like Android and iOS, introduces TensorFlow.js for browser-based ML, discusses TensorFlow Serving for scalable model deployment, and addresses critical aspects of AI ethics, fairness, and federated learning.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Machine-Learning-Coders-Programmers-Intelligence/dp/1492078190?&linkCode=ll1&tag=cvthunderx-20&linkId=7fe6390276c1c9bb9463011e2a82a339&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Machine-Learning-Coders-Programmers-Intelligence/dp/1492078190?&linkCode=ll1&tag=cvthunderx-20&linkId=7fe6390276c1c9bb9463011e2a82a339&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
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