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Learn the Ruby programming language and JavaScript coding from beginner to intermediate for web development - fast!
In the fast-paced world of data science and machine learning, you have to stay up-to-date and keep ahead of the competition. For this, you have to constantly be on the lookout for the latest trends in tools and techniques for data science and machine learning. You don't want to miss out on the latest trend and the tool of the future! Right now, that tool is the Julia programming language. It's the hot new language that all ML and data science experts are very excited about. Learning Julia will open up several doors for you in your career!
In this self-paced course, you will learn how to use TensorFlow 2 to build recurrent neural networks (RNNs). You will learn about sequence data, forecasting, Elman Unit, GRU, and LSTM. You will also learn how to work with image classification and how to get stock return predictions using LSTMs. We will also cover Natural Language Processing (NLP) and learn about text preprocessing and classification.
From tackling cross-cutting project concerns with Spring to integrating Spring JDBC to work with databases, this course teaches you the essentials you need to know to confidently use the Spring framework container in the workplace.
Learn Object-oriented Programming in Python-beginner-level! (Exercises + cheat sheets + better Coding)!
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