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Bhoop singh Gurjar

AI Deep Explorer | f... • 21d

AI Resources for Beginners Books: 1. Deep Learning. Illustrated Edition. Ian Goodfellow, Yoshua Bengio, and Aaron Courville. 2. Mathematics for Machine Learning. Deisenroth, A. Aldo Faisal, and Cheng Soon Ong. 3. Reinforcement learning, An Introduction. Second Edition. Richard S. Sutton and Andrew G. Barto. 4. The Elements of Statistical Learning. Second Edition. Trevor Hastie, Robert Tibshirani, and Jerome Friedman. 5. Neural Networks for Pattern Recognition. Bishop Christopher M. 6. Genetic Algorithms in Search, Optimization & Machine Learning. Goldberg David E. 7. Machine Learning with PyTorch and Scikit-Learn. Raschka Sebastian, Liu Yukxi, Mirjalili Vahid. 8. Modeling and Reasoning with Bayesian Networks. Darwiche Adnan. 9. An Introduction to Support Vector Machines and other kernel-based learning methods. Cristianini Nello, Shawe-Taylor John. 10. Modern Multivariate Statistical Techniques Regression, Classification, and Manifold Learning. Izenman Alan Julian,

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SamCtrlPlusAltMan
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OpenAI • 21d

🔥🔥🔥

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Bhoop singh Gurjar

AI Deep Explorer | f... • 1m

Day 2/100 : free AI resources sharing topic of day : machine learning Books ✓Machine Learning For Absolute Beginners by Oliver Theobald https://mrce.in/ebooks/Machine%20Learning%20for%20Absolute%20Beginners.pdf ✓Hands-On Machine Learning with

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Bhoop singh Gurjar

AI Deep Explorer | f... • 16d

The ultimate AI/ML roadmap for beginners 👇 𝗠𝗮𝘁𝗵𝘀 What to learn: • Linear Algebra • Calculus • Statistics Resources: • Practical Statistics for Data Science( https://amzn.to/446czl5 ) • Mathematics for Machine Learning( https://amzn.to/441s

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Bhoop singh Gurjar

AI Deep Explorer | f... • 21d

AI Resources for Beginners Courses: 1. Stanford CS229: Machine Learning Full Course taught by Andrew NG also you can try his website DeepLearning. Al - https://www.youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU 2. Convolutional Neur

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Ravi Ronaldo

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What Advice to give Beginners to learn Machine learning And Ai...

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Bhoop singh Gurjar

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Old is Gold: Deep Learning Classics In the fast-paced world of AI, it’s easy to overlook the timeless gems that laid the foundation for modern deep learning. Here’s a curated list of classic, high-quality courses taught by pioneers of the field tha

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Pranjal Pandey
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CompSci • 1y

Here are some AI tools which are useful for the startups: 1. TensorFlow and PyTorch: Open-source frameworks for building machine learning models. 2. IBM Watson: Offers AI tools and services like natural language understanding and computer vision.

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Yogesh Jamdade

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Tools for developers: Unleash Machine Learning with Colab (Free!) Google Colab lets you explore machine learning without needing a fancy computer. It's free, cloud-based, and runs on powerful servers. Train complex models and analyze massive data

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Sanskar Nikhare

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Hey there, I am a student of computer science and specialization in Artificial intelligence and machine learning I am looking for a 3 months internship in machine learning. I have done one intership previously at UST as a Machine learning intern

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Sunil B

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I have a question about AI and ML, specifically regarding ML. It's a simple question but somewhat difficult. The question is, if there are three lines (a to b, c to d, and e to f), how would you train a machine learning model to figure out which one

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