In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. By the end, you will be able to build and train Recurrent Neural Networks (RNNs) and commonly-used variants such as GRUs and … [Read more...] about Sequence Models
Computer Science
Scrum Master Certification: Scrum Methodologies
This course is designed to help Scrum beginners learn the foundational knowledge to become proficient with Agile Scrum. Throughout the course, learners will explore User Stories and how they are prioritized in Agile, Velocity, Backlog Refinement, and Market Actions. Learners will also learn about different Scrum Reports and methods of managing risks. … [Read more...] about Scrum Master Certification: Scrum Methodologies
Natural Language Processing with Classification and Vector Spaces
In Course 1 of the Natural Language Processing Specialization, you will: a) Perform sentiment analysis of tweets using logistic regression and then naïve Bayes, b) Use vector space models to discover relationships between words and use PCA to reduce the dimensionality of the vector space and visualize those relationships, and c) Write a simple English to French translation … [Read more...] about Natural Language Processing with Classification and Vector Spaces
Introduction to Mechanical Engineering Design and Manufacturing with Fusion 360
Design for manufacturing is the process of designing parts, components, or products with the understanding surrounding design requirements for a specific manufacturing method. This course explores the design for manufacture workflow and shows how to validate models and create the G code, the programming language needed to instruct the CNC machine on how to move. We practice the … [Read more...] about Introduction to Mechanical Engineering Design and Manufacturing with Fusion 360
Introduction to Data Science in Python
This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the … [Read more...] about Introduction to Data Science in Python
