AI Deep Explorer | f...ย โขย 8m
Excited to dive into Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow Machine learning is evolving rapidly, and this book is a goldmine for anyone looking to build intelligent systems using the latest tools and frameworks. From Scikit-Learn to TensorFlow 2, it covers everything from the fundamentals to deep learning applications. ๐น Practical, hands-on approach ๐น Covers essential ML concepts & real-world examples ๐น Great for both beginners & experienced practitioners Looking forward to experimenting and applying these insights to real-world problems link http://14.139.161.31/OddSem-0822-1122/Hands-On_Machine_Learning_with_Scikit-Learn-Keras-and-TensorFlow-2nd-Edition-Aurelien-Geron.pdf

AI Deep Explorer | f...ย โขย 8m
Day 2/100 : free AI resources sharing topic of day : machine learning Books โMachine Learning For Absolute Beginnersย by Oliver Theobald https://mrce.in/ebooks/Machine%20Learning%20for%20Absolute%20Beginners.pdf โHands-On Machine Learning with
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The ultimate AI/ML roadmap for beginners ๐ ๐ ๐ฎ๐๐ต๐ What to learn: โข Linear Algebra โข Calculus โข Statistics Resources: โข Practical Statistics for Data Science( https://amzn.to/446czl5 ) โข Mathematics for Machine Learning( https://amzn.to/441s
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#freelancerย โขย 4m
๐ง *Technologies for Data Science, Machine Learning & AI!* part 1 ๐ *Data Science* โช๏ธ Python โ The go-to language for Data Science โช๏ธ R โ Statistical Computing and Graphics โช๏ธ Pandas โ Data Manipulation & Analysis โช๏ธ NumPy โ Numerical Computing โช๏ธ
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CompSciย โขย 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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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 Introd
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Just completed a deep dive into how neurons and layers in neural networks mirror linear and logistic regression and how TensorFlow simply automates the math we've already learned. I revisited core concepts from linear and logistic regression and saw
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