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via Udemy |
Go to Course: https://www.udemy.com/course/intro-to-tensorflow-for-ios-android/
If you're interested in diving into the exciting world of mobile machine learning and artificial intelligence, the course funded by a successful Kickstarter on Coursera is an excellent choice. Titled "Mobile Machine Learning and AI with Python and Android," this course offers a comprehensive introduction to building intelligent mobile applications using modern tools and frameworks. Course Highlights: - **Cutting-Edge Tools and Languages:** Explore PyCharm 2017.2.3, Python 3.6.2, Android Studio 3, and Java 8, ensuring you are familiar with the latest development environments. - **Practical Machine Learning Applications:** Understand how machine learning and AI are integral to everyday technology, with real-world examples and projects. - **Hands-On Projects:** Build a linear regression model, integrate machine learning into Android apps, and develop a digit recognition app using the MNIST database. - **In-Depth Frameworks:** Learn about TensorFlow 1.4.1, how it simplifies development, and how to implement it in mobile applications. - **Accessibility for Beginners:** No prior experience required. The course is designed for newcomers, providing clear explanations and step-by-step guidance. Review: This course stands out because it fills a niche that few others address—mobile machine learning. Many courses focus solely on desktop environments, but this one emphasizes building AI-powered apps specifically for mobile platforms. The instructors do an excellent job of breaking down complex concepts into understandable segments, making it suitable even for those new to programming or machine learning. The inclusion of projects like digit recognition not only reinforces learning but also provides tangible skills you can showcase. Recommendation: I highly recommend this course for aspiring developers and data enthusiasts interested in mobile AI. Whether you're aiming to create smarter apps, explore career opportunities in AI, or simply understand how machine learning impacts mobile technology, this course provides the foundational knowledge and practical skills needed. Given its beginner-friendly approach and focus on a rapidly growing field, enrolling in this course can be a great step toward staying ahead in the tech world. Enroll now to start your journey into machine learning on mobile platforms and unlock innovative possibilities in your coding career!
This course was funded by a wildly successful Kickstarter Explore PyCharm 2017.2.3 and the amazing Python 3.6.2 language Explore Android Studio 3 and the Java 8 language Discover applications of machine learning and where we use artificial intelligence and algorithms daily Learn what TensorFlow 1.4.1 is and how it makes machine learning development easier Build a linear regression model to fit a line through data Learn how to incorporate machine learning models into Android apps Build a simple digit recognition project using the MNIST handwritten digit database Learn how the TensorFlow estimator differs from other computational graphs A machine learning framework for everyone If you want to build sophisticated and intelligent mobile apps or simply want to know more about how machine learning works in a mobile environment, this course is for you. Be one of the first There are next to no courses on big platforms that focus on mobile machine learning in particular. All of them focus specifically on machine learning for a desktop or laptop environment. We provide clear, concise explanations at each step along the way so that viewers can not only replicate, but also understand and expand upon what I teach. Other courses don't do a great job of explaining exactly what is going on at each step in the process and why we choose to build models the way we do. No prior knowledge is required We will teach you all you need to know about the languages, software and technologies we use. If you have lots of experience building machine learning apps, you may find this course a little slow because it's designed for beginners. Jump into a field that has more demand than supply Machine learning changes everything. It's bringing us self-driving cars, facial recognition and artificial intelligence. And the best part is: anyone can create such innovations. Enroll now to start the next step of your career