Pinaki Laskar on LinkedIn: #MachineLearning #ML #Security

What is Mobile Machine Learning and How do you deploy #MachineLearning on mobile devices? Mobile #ML, A mobile app intelligent to modify itself according to user's needs without your control, analyze big sets of different information (text, visual, audio, biometric) in order to make decisions, can tailor your app according to personal needs of every single user. How Are Developers Using Machine Learning for Mobile Apps? - For Filtering and #Security - For #ArtificialIntelligence - For Predictive #Analytics ML & Mobile - Deploying Models on The Edge, Virtually all cutting edge technologies can benefit from it, - Improve unsupervised #algorithms - Enhance personalization - Increase adoption of #quantumcomputing - Improve #cognitive services - Rise of #robots Strategic Implications of ML and Mobile, Training #Data - Data which has been tagged, categorized, or otherwise sorted by humans. Software - The #software library which builds the machine learning models by evaluating training data. Hardware: The CPUs and GPUs which run the software's calculations.