DeepLearning.AI Data Engineering Professional Certificate

 The Data Engineering Professional Certificate from DeepLearning.AI on Coursera is designed for anyone looking to break into the data engineering field. This program covers essential topics like data pipelines, SQL, Python, and cloud technologies....

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Mathematics for Machine Learning and Data Science Specialization

 Unlocking the Power of Machine Learning with Coursera's Mathematics for Machine Learning SpecializationMachine learning has become one of the most sought-after fields in tech today, from automating processes to building intelligent systems...

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Sequences, Time Series and Prediction

 Exploring the Power of TensorFlow for Sequences, Time Series, and PredictionIn the world of machine learning, TensorFlow has proven to be an invaluable tool for tackling complex problems, and one of its key strengths is its ability to...

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tensorflow: Advanced Techniques Specialization

 Master TensorFlow with Coursera’s Advanced Techniques SpecializationTensorFlow is one of the most powerful and widely-used frameworks in machine learning, enabling developers and researchers to build, train, and deploy machine learning...

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Machine Learning Specialization

 Exploring Coursera's Machine Learning Specialization: A Comprehensive GuideMachine learning (ML) has become one of the most in-demand fields in technology today. From self-driving cars to personalized recommendations on streaming platforms,...

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Generative Adversarial Networks (GANs) Specialization

 Unleashing Creativity with Coursera’s Generative Adversarial Networks (GANs) SpecializationGenerative Adversarial Networks (GANs) are a groundbreaking technology in the field of artificial intelligence, known for their ability to create...

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Understanding Deep Learning: Building Machine Learning Systems with PyTorch and TensorFlow: From Neural Networks (CNN, DNN, GNN, RNN, ANN, LSTM, GAN) to Natural Language Processing (NLP)

 Dive into the core of deep learning and machine learning with this hands-on guide that provides a solid foundation for anyone from data scientists to AI enthusiasts. This book, meticulously structured for clarity and depth, unravels the...

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Deep Learning with PyTorch : Image Segmentation

 Deep Learning with PyTorch: Unveiling Image SegmentationMastering Image Segmentation Using PyTorch through Hands-on LearningIntroductionImage segmentation is a critical task in computer vision that goes beyond classifying images. Instead...

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DeepLearning.AI TensorFlow Developer Professional Certificate

 Master AI Development with TensorFlow: A Guide to Coursera's TensorFlow in Practice Professional Certificate 🧠🚀IntroductionMachine learning is revolutionizing industries, and TensorFlow has become one of the most widely used frameworks...

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Modern Computer Vision with PyTorch - Second Edition: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI

 The definitive computer vision book is back, featuring the latest neural network architectures and an exploration of foundation and diffusion modelsPurchase of the print or Kindle book includes a free eBook in PDF formatKey Features-...

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Mastering PyTorch - Second Edition: Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond

 Master advanced techniques and algorithms for machine learning with PyTorch using real-world examplesUpdated for PyTorch 2.x, including integration with Hugging Face, mobile deployment, diffusion models, and graph neural networksPurchase...

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Deep Learning with Python: A Comprehensive guide to Building and Training Deep Neural Networks using Python and popular Deep Learning Frameworks

 Deep Learning with Python is a comprehensive guide to building and training deep neural networks using Python and popular deep learning frameworks. Whether you are a beginner or an experienced data scientist, this book provides a detailed...

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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition 3rd Edition, Kindle Edition

 Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning.Purchase of the print or Kindle book includes a free eBook in the PDF format.Key FeaturesThird edition...

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Deep Learning with Python, Second Edition

Unlock the groundbreaking advances of deep learning with this extensively revised edition of the bestselling original. Learn directly from the creator of Keras and master practical Python deep learning techniques that are easy to apply in the...

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AI for Medicine Specialization

 What you'll learnDiagnose diseases from x-rays and 3D MRI brain imagesPredict patient survival rates more accurately using tree-based modelsEstimate treatment effects on patients using data from randomized trialsAutomate the task of labeling...

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Linear Regression with Python

 What you'll learnCreate a linear model, and implement gradient descent.Train the linear model to fit given data using gradient descent.Join Free:Linear Regression with PythonAbout this Guided ProjectIn this 2-hour long project-based course,...

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Neural Networks and Deep Learning

 Build your subject-matter expertiseThis course is part of the Deep Learning SpecializationWhen you enroll in this course, you'll also be enrolled in this Specialization.Learn new concepts from industry expertsGain a foundational understanding...

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The Little Book of Deep Learning François Fleuret (Free PDF)

 Unlock the Power of Deep Learning Embark on an extraordinary journey into the realm of cutting-edge technology with The Little Book of Deep Learning . Discover the secrets behind one of the most revolutionary advancements of our time,...

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The Principles of Deep Learning Theory (Free PDF)

 This textbook establishes a theoretical framework for understanding deep learning models of practical relevance. With an approach that borrows from theoretical physics, Roberts and Yaida provide clear and pedagogical explanations of how...

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