AI Deep Explorer | f...ย โขย 3m
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 3m
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
See MoreAI Deep Explorer | f...ย โขย 2m
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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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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Python is a beginner-friendly and powerful programming language, perfect for diving into data science. Start by learning the basics like variables, loops, and functions. Explore popular libraries such as Pandas for data manipulation, NumPy for nume
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