Youtor
Building Machine Learning Model from Scratch
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=5vlkVjGLsLc
An overview of how to build a machine learning model from scratch. Modern machine learning libraries make model building look deceptively easy. An unnecessary emphasis (admittedly, annoying to the speaker) on tools like R, Python, SparkML, and techniques like deep learning is prevalent. Relying on tools and techniques while ignoring the fundamentals is the wrong approach to model building. • Real-world machine learning requires hard work, discipline, and rigor. The development of robust models requires due diligence during the data acquisition phase and an obsession with data quality. • Feature engineering, choice of evaluation metrics, and an understanding of the model bias/variance trade-off are often more important than the choice of tools. Experienced machine learning engineers spend most of their time dealing with data-related issues, model evaluation, and parameter tuning while spending only a fraction of their time in actual model building. This is the 80/20 rule. • Unlike most talks these days, this talk is not about deep learning. We will ignore the hype and strictly focus on the fundamentals of building robust machine learning models. • Table of Contents: • 0:00 Introduction • 6:26 Data question • 8:44 Metric question • 10:51 Repeatability question • 13:42 Customer churn • 21:48 Business question • 33:07 Modern ML libraries • 36:59 Lifecycle of an ML model • 40:07 Data beats algorithm • 48:02 Beg, borrow, and steal • 1:05:59 Measuring model performance • 1:10:29 Overfitting • 1:11:30 Train/test • 1:13:54 Cross-validation • 1:16:34 Real production data • 1:18:30 Questions • -- • At Data Science Dojo, we believe data science is for everyone. Our data science trainings have been attended by more than 10,000 employees from over 2,500 companies globally, including many leaders in tech like Microsoft, Google, and Facebook. For more information please visit: https://hubs.la/Q01Z-13k0 • 💼 Learn to build LLM-powered apps in just 40 hours with our Large Language Models bootcamp: https://hubs.la/Q01ZZGL-0 • 💼 Get started in the world of data with our top-rated data science bootcamp: https://hubs.la/Q01ZZDpt0 • 💼 Master Python for data science, analytics, machine learning, and data engineering: https://hubs.la/Q01ZZD-s0 • 💼 Explore, analyze, and visualize your data with Power BI desktop: https://hubs.la/Q01ZZF8B0 • -- • Unleash your data science potential for FREE! Dive into our tutorials, events courses today! • 📚 Learn the essentials of data science and analytics with our data science tutorials: https://hubs.la/Q01ZZJJK0 • 📚 Stay ahead of the curve with the latest data science content, subscribe to our newsletter now: https://hubs.la/Q01ZZBy10 • 📚 Connect with other data scientists and AI professionals at our community events: https://hubs.la/Q01ZZLd80 • 📚 Checkout our free data science courses: https://hubs.la/Q01ZZMcm0 • 📚 Get your daily dose of data science with our trending blogs: https://hubs.la/Q01ZZMWl0 • -- • 📱 Social media links • Connect with us: / data-science-dojo • Follow us: / datasciencedojo • Keep up with us: / data_science_dojo • Like us: / datasciencedojo • Find us: https://www.threads.net/@data_science... • -- • Also, join our communities: • LinkedIn: / 13601597 • Twitter: / 1677363761399865344 • Facebook: / aiandmachinelearningforeveryone • Vimeo: https://vimeo.com/datasciencedojo • Discord: / discord • _ • Want to share your data science knowledge? Boost your profile and share your knowledge with our community: https://hubs.la/Q01ZZNCn0 • #machinelearningmodel #machinelearning
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