As a hands-on introduction to machine learning, the crash course offered by Google is a great deal of practical experience. It starts by asking you about your previous experience in machine learning. You will be directed to the appropriate resources based on your answer, so you can maximize y...
This engineering course reviews theory and applications of machine learning to engineering applications with a survey of unsupervised and supervised learning methods. The course combines mathematical details with several case studies that provide an intuition for machine learning with methods for ...
GenAI & Machine Learning CourseDetails The program covers diverse subjects including Python programming, exploratory data analysis, supervised and unsupervised learning, deep learning, generative AI, prompt engineering, LLMs, NLP, and much more.
Related paths/tracks:Machine Learning for Predictive Analytics,Feature Engineering for Machine Learning,Supervised Learning: Classification,Supervised Learning: Linear Regression,Unsupervised Learning: Clustering Go to training Machine Learning Course Online Platform:Intellipaat Description:This machine learning...
Get information about online machine learning courses & certifications eligibility, fees, syllabus, admission, scholarship. Know complete details of admission process, scope & career opportunities, placement & salary package.
Machine Learning Engineering for Production (MLOps) Overview Class Central Tips Learn How to Sign up to Coursera courses for free 1800+ Coursera Courses That Are Still Completely Free In this Machine Learning in Production course, you will build intuition about designing a production ML system end...
Machine Learning Course Overview This Machine Learning course in collaboration with IITM Pravartak is specially designed for learners to help them upgrade their skills in ML, deep learning, NLP, generative AI, prompt engineering, and ChatGPT. What are the learning objectives of this Machine Learning...
This blog on the Machine Learning course syllabus will help you understand various requirements to enroll in different Machine Learning certification courses.
This path teaches course participants how to write distributed machine learning models that scale in TensorFlow, scale out the training of those models, and offer high-performance predictions. You will learn to convert raw data to features in a way that
Our course, Preprocessing for Machine Learning in Python, explores how to get your cleaned data ready for modeling. Step 3: Choosing the right model Once the data is prepared, the next step is to choose a machine learning model. There are many types of models to choose from, including ...