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In this episode, we'll get acquainted with a quick intro to the basics of using Git with local and remote repositories. In this video you learn how to initialize repositories, track files, stage changes, branch and merge, handle merge conflicts, stash changes, pull from and commit to remote repositories like GitHub.
In this comprehensive 24-hour-long course, you will learn to use C# to build a complete application from start to finish. Using .net and Visual Studio, we will construct a tournament tracker application that is fit to launch. The application uses Winforms, a class library, events, SQL database, text file data storage (in CSV format), custom events and more.
In this Artificial Intelligence tutorial for beginners video you will learn all the major basic concepts in Artificial Intelligence like what is ai, difference between ai, ml and dl, topology of a neural network, how to train network with backpropagation with an in depth demo on tensorflow and keras.
iRobot's Senior Vice President of HR, Russ Campanello, and Acquia's Global Manager of Talent Acquisition, Eric Gaffen, will talk about the importance of hiring and team building at their companies. In addition, watch as audience members participate in mock interviews and share the results of their experience.
This Deep Learning full course covers all the concepts and techniques that will help you become an expert in Deep Learning. First, you will learn the basics of Deep Learning and understand how to install TensorFlow, what is TensorFlow,TensorFlow Object detection API works, different Deep Learning frameworks, convolutional neural networks, recurrent neural networks in Python, Deep Learning applications and look at the essential interview questions.
Learn Data Science is this full tutorial course for absolute beginners. Data science is considered the "sexiest job of the 21st century." You'll learn the important elements of data science. You'll be introduced to the principles, practices, and tools that make data science the powerful medium for critical insight in business and research. You'll have a solid foundation for future learning and applications in your work. With data science, you can do what you want to do, and do it better. This course covers the foundations of data science, data sourcing, coding, mathematics, and statistics.