Machine Learning | Gradient Descent (with Mathematical Derivations)

RANJI RAJ
RANJI RAJ
109 هزار بار بازدید - 5 سال پیش - Gradient descent is an optimization
Gradient descent is an optimization algorithm used to minimize some functions by iteratively moving in the direction of the steepest descent as defined by the negative of the gradient. In machine learning, we use gradient descent to update the parameters of our model. #MachineLearning #GradientDescent #datascience JOIN THE CLUB: t.me/+dsNJpCDmHZQ0OTRl ---------------------------------------------------------------------------------------------------------------------------------------- Implementation on masked data: github.com/ranjiGT/BatchLinearRegor ------------------------------------------------------------------------------------------------------------------------------------------ Chapters 🕰️ 0:00 Introduction to regression and terminologies 7:40 Relationship of Error with slope & intercept 13:00 Total Derivatives 15:46 Partial Derivatives 17:43 Differentiating LMS 25:10 Resubtitution method (Linear Algebra) ------------------------------------------------------------------------------------------------------------------------------------------- 🐍𝑷𝒚𝒕𝒉𝒐𝒏 𝑺𝒌𝒊𝒍𝒍 𝑺𝒆𝒓𝒊𝒆𝒔 👉    • Skill Series - Python   🐙𝑫𝒆𝒆𝒑 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈 👉    • Deep Learning   🦾𝑴𝒂𝒄𝒉𝒊𝒏𝒆 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈 👉   • Machine Learning   🤖𝑨𝒓𝒕𝒊𝒇𝒊𝒄𝒊𝒂𝒍 𝑰𝒏𝒕𝒆𝒍𝒍𝒊𝒈𝒆𝒏𝒄𝒆 👉   • Artificial Intelligence Tutorials   ☁️𝑪𝒍𝒐𝒖𝒅 𝑪𝒐𝒎𝒑𝒖𝒕𝒊𝒏𝒈 👉   • Cloud Computing Tutorials   📶𝑾𝒊𝒓𝒆𝒍𝒆𝒔𝒔 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒚 👉   • Wireless Technology Tutorials   🛠️𝑫𝒂𝒕𝒂 𝑴𝒊𝒏𝒊𝒏𝒈 👉   • Data Mining & Business Intelligence   ⚙️𝑺𝒊𝒎𝒖𝒍𝒂𝒕𝒊𝒐𝒏 𝑴𝒐𝒅𝒆𝒍𝒊𝒏𝒈 👉   • Simulation Modeling Tutorials   🐘𝑩𝒊𝒈 𝑫𝒂𝒕𝒂 👉   • Big Data Anaytics   ⛓️𝑩𝒍𝒐𝒄𝒌𝒄𝒉𝒂𝒊𝒏 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒚 👉   • Blockchain Technology   💡𝑰𝑶𝑻 👉   • Internet Of Things   𝓕𝓸𝓵𝓵𝓸𝔀 𝓶𝓮 𝓸𝓷 𝓘𝓷𝓼𝓽𝓪𝓰𝓻𝓪𝓶 👉 www.instagram.com/adhyapakh/ 𝓥𝓲𝓼𝓲𝓽 𝓶𝔂 𝓟𝓻𝓸𝓯𝓲𝓵𝓮 👉 www.linkedin.com/in/reng99/ 𝓢𝓾𝓹𝓹𝓸𝓻𝓽 𝓶𝔂 𝔀𝓸𝓻𝓴 𝓸𝓷 𝓟𝓪𝓽𝓻𝓮𝓸𝓷 👉 www.patreon.com/ranjiraj 𝓖𝓲𝓽𝓗𝓾𝓫👉 github.com/ranjiGT
5 سال پیش در تاریخ 1398/12/24 منتشر شده است.
109,090 بـار بازدید شده
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