Top 10 Machine Learning Certification & Training Programs (#7)

Colleagues, as reported by BuiltIn the average salary for a Machine Learning Engineer is $145,159. Number 7 on our Top 10 countdown is the Intro to Machine Learning with Tensorflow program from Udacity. Learn foundational machine learning algorithms, starting with data cleaning and supervised models. Then, move on to exploring deep and unsupervised learning. At each step, get practical experience by applying your skills to code exercises and projects. Training modules - each with an hands-on project - include: 1) Supervised Learning - learn about supervised learning, a common class of methods for model construction (Project: Find Donors for CharityML - CharityML is a fictitious charity organization located in the heart of Silicon Valley that was established to provide financial support for people eager to learn machine learning. Your goal will be to evaluate and optimize several different supervised learners to determine which algorithm will provide the highest donation yield while also reducing the total number of letters being sent to ask for donations.), 2) Deep Learning - learn the foundations of neural network design and training in TensorFlow (Project: Create Your Own Image Classifier - As a machine learning engineer at a fictional self-driving car startup, you have been asked to help decide whether to build or buy an object detection algorithm for objects that may be on the side of the road. A company, Detectocorp, claims an 80% accuracy rate on the CIFAR-10 dataset, a benchmark used to evaluate the state of the art for computer vision systems. Use a neural network to recognize objects in images and evaluate the model's performance compared to Detect Corps model.), and 3) Unsupervised Learning - learn to implement unsupervised learning methods for different kinds of problem domains (Project: Create Customer Segments - determine if any similarities exist between customers and use those similarities to segment customers into distinct categories using various clustering techniques. This segmentation is used to help the business make more informed marketing and product decisions.). 

Enroll today (teams & execs welcome): https://tinyurl.com/42e8wsak 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (share & subscribe)  [] 

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