The Introduction to Machine Learning with TensorFlow program covers supervised and unsupervised learning methods for machine learning. Course 1 introduces regression, perceptron algorithms, decision trees, naive Bayes, support vector machines, and evaluation metrics. Course 2 focuses on neural networks and creating an image classifier. Course 3 covers unsupervised learning methods, including clustering and dimensionality reduction for customer segmentation. Key skills include data preprocessing, model selection, and evaluation using TensorFlow and Python. Show
The Introduction to Machine Learning with TensorFlow program covers supervised and unsupervised learning methods for machine learning. Course 1 introduces regression, perceptron algorithms, decision trees, naive Bayes, support vector machines, and evaluation metrics. Course 2 focuses on neural networks and creating an image classifier. Course 3 covers unsupervised learning methods, including clustering and dimensionality reduction for customer segmentation. Key skills include data preprocessing, model selection, and evaluation using TensorFlow and Python. Last Updated August 14, 2023 Skills you'll learn: Naive bayes classifiers • Gaussian mixture models • Model evaluation • Support vector machines Prerequisites: Basic descriptive statistics • Python for data science • Basic probability Courses In This ProgramCourse 1 • 1 hour Introduction to Machine LearningCourse 2 • 3 weeks Supervised LearningIn this course, you'll learn about different types of supervised learning and how to use them to solve real-world problems. Course 3 • 3 weeks Introduction to Neural Networks with TensorFlowLearn the fundamentals of neural networks with Python and TensorFlow, and then use your new skills to create your own image classifier—an application that will first train a deep learning model on a dataset of images and then use the trained model to classify new images. Course 4 • 4 weeks Unsupervised LearningIn this course, you'll learn how to apply unsupervised learning to solve real-world problems. Taught By The Best Josh BernhardStaff Data Scientist Josh has been sharing his passion for data for over a decade. He's used data science for work ranging from cancer research to process automation. He recently has found a passion for solving data science problems within marketplace companies. After beginning his career in business, Michael utilized Udacity Nanodegree programs to build his technical skills, eventually becoming a Self-Driving Car Engineer at Udacity before switching roles to work on curriculum development for a variety of AI and Autonomous Systems programs. Mat LeonardContent Developer Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley. Andrew has an engineering degree from Yale, and has used his data science skills to build a jewelry business from the ground up. He has additionally created courses for Udacity's Self-Driving Car Engineer Nanodegree program. Jennifer has a PhD in Computer Science and a Masters in Biostatistics; she was a professor at Florida Polytechnic University. She previously worked at RTI International and United Therapeutics as a statistician and computer scientist. Dan Romuald MbangaInstructor Dan leads Amazon AI's Business Development efforts for Machine Learning Services. Day to day, he works with customers—from startups to enterprises—to ensure they are successful at building and deploying models on Amazon SageMaker. Cezanne CamachoCurriculum Lead Cezanne is an expert in computer vision with a Masters in Electrical Engineering from Stanford University. As a former researcher in genomics and biomedical imaging, she's applied computer vision and deep learning to medical diagnostic applications. Sean Carrell is a former research mathematician specializing in Algebraic Combinatorics. He completed his PhD and Postdoctoral Fellowship at the University of Waterloo, Canada. Jay is a software engineer, the founder of Qaym (an Arabic-language review site), and the Investment Principal at STV, a $500 million venture capital fund focused on high-technology startups. Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal. Juan DelgadoContent Developer Juan is a computational physicist with a Masters in Astronomy. He is finishing his PhD in Biophysics. He previously worked at NASA developing space instruments and writing software to analyze large amounts of scientific data using machine learning techniques. Ratings & ReviewsAverage Rating: 4.6 Stars (256 Reviews) The Udacity DifferenceCombine technology training for employees with industry experts, mentors, and projects, for critical thinking that pushes innovation. Our proven upskilling system goes after success—relentlessly. Demonstrate proficiency with practical projects Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.
Top-tier services to ensure learner success Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work. Is Udacity ml Nanodegree worth it?Nanodegrees are expensive – everyone seems to agree on that. But, the consensus also seems to be that Udacity's online programs are of very high quality. And, the career services and mentorship are some of its greatest strengths. With confidence, I can say that I was very satisfied with Udacity's Nanodegrees. Are Udacity courses Recognised?Udacity is not an accredited educational institution. Udacity is a private online education provider that is not accredited and does not confer any degrees. If you need any additional help, check out our Support Community! Is it worth paying for Udacity?Yes, paying for a Udacity bootcamp can be worthwhile if you can find one that helps you gain the skills and knowledge you need to land a good-paying job. Is Udacity certificate useful?The Udacity digital marketing certification is mostly valuable for tech companies like Google, AT&T, or Amazon. This online learning platform is not accredited, so it is not recognized by universities. This is something you should keep in mind if you consider using Udacity's programs to become a digital marketer. |
