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via Udemy |
Go to Course: https://www.udemy.com/course/complete-ios-machine-learning-masterclass/
If you're eager to dive into the world of mobile app development with a focus on cutting-edge machine learning techniques on iOS, then **The Complete iOS Machine Learning Masterclass™** on Coursera is the perfect course for you. This comprehensive program is designed to equip you with the skills needed to build professional, innovative, and "smart" mobile applications that stand out in today’s competitive app marketplace. **Course Review** This course stands out because it offers a well-structured blend of theoretical knowledge and practical application. Taught by an experienced iOS developer and educator, it emphasizes hands-on learning through the development of 7 real-world projects from scratch. You'll learn to integrate pre-trained models, develop custom AI solutions, and add sophisticated features such as image recognition, object detection, speech and language processing, voice interactions, and live video analysis. The curriculum covers foundational concepts in machine learning including image & video processing, text analysis, and speech recognition—essential skills for creating intelligent apps. The course also explores advanced frameworks such as CoreML, Vision, and GamePlayKit, and integrates popular machine learning tools like Python, Keras, TensorFlow, scikit-learn, and others. One of the most appealing aspects is how the instructor makes complex topics accessible, avoiding overwhelming theory or dry examples. Instead, the course uses engaging, real-world projects inspired by iconic tech innovations and pop culture, such as a flower classifier app and a humorous "Not-Hot Dog" classifier, making learning both fun and relevant. **Content Quality and Support** The course is praised for its clear, step-by-step guidance, with code written line-by-line to ensure deep understanding. The inclusion of detailed tutorials and practical challenges helps reinforce your learning, enabling you to confidently apply machine learning techniques in your own projects. Moreover, the instructor’s dedicated support team offers prompt responses within 48 hours, ensuring you have assistance whenever you encounter obstacles—a valuable feature for learners of all levels. **Recommendations** I highly recommend this course if: - You want to learn how to integrate machine learning into iOS apps using Swift 4 and higher. - You're interested in developing “smart” apps utilizing image and video recognition, OCR, face detection, and voice features. - You aspire to enhance your professional portfolio or pivot your career into AI and mobile app development. - You enjoy project-based and practical learning approaches that prepare you for real-world challenges. Whether you're a beginner with no prior experience or an intermediate developer looking to add AI capabilities to your apps, this course provides a solid, engaging, and practical foundation. The skills gained here will position you ahead in a rapidly evolving tech landscape where intelligent mobile apps are the future. Don’t miss out on the opportunity to master machine learning on iOS—enroll today and take a significant step toward building smarter, more competitive mobile applications!
If you want to learn how to start building professional, career-boosting mobile apps and use Machine Learning to take things to the next level, then this course is for you. The Complete iOS Machine Learning Masterclass™ is the only course that you need for machine learning on iOS. Machine Learning is a fast-growing field that is revolutionizing many industries with tech giants like Google and IBM taking the lead. In this course, you'll use the most cutting-edge iOS Machine Learning technology stacks to add a layer of intelligence and polish to your mobile apps. We're approaching a new era where only apps and games that are considered "smart" will survive. (Remember how Blockbuster went bankrupt when Netflix became a giant?) Jump the curve and adopt this innovative approach; the Complete iOS Machine Learning Masterclass™ will introduce Machine Learning in a way that's both fun and engaging. In this course, you will: Master the 3 fundamental branches of applied Machine Learning: Image & Video Processing, Text Analysis, and Speech & Language RecognitionDevelop an intuitive sense for using Machine Learning in your iOS appsCreate 7 projects from scratch in practical code-along tutorialsFind pre-trained ML models and make them ready to use in your iOS appsCreate your own custom models Add Image Recognition capability to your apps Integrate Live Video Camera Stream Object Recognition to your apps Add Siri Voice speaking feature to your apps Dive deep into key frameworks such as coreML, Vision, CoreGraphics, and GamePlayKit. Use Python, Keras, Caffee, Tensorflow, sci-kit learn, libsvm, Anaconda, and Spyder-even if you have zero experienceGet FREE unlimited hosting for one yearAnd more! This course is also full of practical use cases and real-world challenges that allow you to practice what you're learning. Are you tired of courses based on boring, over-used examples? Yes? Well then, you're in a treat. We'll tackle 5 real-world projects in this course so you can master topics such as image recognition, object recognition, and modifying existing trained ML models. You'll also create an app that classifies flowers and another fun project inspired by Silicon Valley™ Jian Yang's masterpiece: a Not-Hot Dog classifier app! Why Machine Learning on iOSOne of the hottest growing fields in technology today, Machine Learning is an excellent skill to boost your your career prospects and expand your professional tool kit. Many of Silicon Valley's hottest companies are working to make Machine Learning an essential part of our daily lives. Self-driving cars are just around the corner with millions of miles of successful training. IBM's Watson can diagnose patients more effectively than highly-trained physicians. AlphaGo, Google DeepMind's computer, can beat the world master of the game Go, a game where it was thought only human intuition could excel. In 2017, Apple has made Machine Learning available in iOS so that anyone can build smart apps and games for iPhones, iPads, Apple Watches and Apple TVs. Nowadays, apps and games that do not have an ML layer will not be appealing to users. Whether you wish to change careers or create a second stream of income, Machine Learning is a highly lucrative skill that can give you an amazing sense of gratification when you can apply it to your mobile apps and games.Why This Course Is DifferentMachine Learning is very broad and complex; to navigate this maze, you need a clear and global vision of the field. Too many tutorials just bombard you with the theory, math, and coding. In this course, each section focuses on distinct use cases and real projects so that your learning experience is best structured for mastery. This course brings my teaching experience and technical know-how to you. I've taught programming for over 10 years, and I'm also a veteran iOS developer with hands-on experience making top-ranked apps. For each project, we will write up the code line by line to create it from scratch. This way you can follow along and understand exactly what each line means and how to code comes together. Once you go through the hands-on coding exercises, you will see for yourself how much of a game-changing experience this course is.As an educator, I also want you to succeed. I've put together a team of professionals to help you master the material. Whenever you ask a question, you will get a response from my team within 48 hours. No matter how complex your question, we will be there-because we feel a personal responsibility in being fully committed to our students. By the end of the course, you will confidently understand the tools and techniques of Machine Learning for iOS on an instinctive level. Don't be the one to get left behind. Get started today and join millions of people taking part in the Machine Learning revolution. topics: ios swift 4 coreml vision deep learning machine learning neural networks python anaconda trained models keras tensorflow scikit learn core ml ios12 Swift4 scikitlearn artificial neural network ANN recurrent neural network RNN convolutional neural network CNN ocr character recognition face detection ios swift 4 coreml vision deep learning machine learning neural networks python anaconda trained models keras tensorflow scikit learn core ml ios12 Swift4 scikitlearn artificial neural network ANN recurrent neural network RNN convolutional neural network CNN ocr character recognition face detection ios swift 4 coreml vision deep learning machine learning neural networks python anaconda trained models keras tensorflow scikit learn core ml ios12 Swift4 scikitlearn artificial neural network ANN recurrent neural network RNN convolutional neural network CNN ocr character recognition face detection ios swift 4 coreml vision deep learning machine learning neural networks python anaconda trained models keras tensorflow scikit learn core ml ios12 Swift4 scikitlearn artificial neural network ANN recurrent neural network RNN convolutional neural network CNN ocr character recognition face detection ios swift 4 coreml vision deep learning machine learning neural networks python anaconda trained models keras tensorflow scikit learn core ml ios12 Swift4 scikitlearn artificial neural network ANN recurrent neural network RNN convolutional neural network CNN ocr character recognition face detection