SKILL PATH
Become a Machine Learning Engineer
Machine Learning skills are some of the most sought-after in the modern job market. Modern ML Engineers make dozens of thousands of dollars more per year than other developers. This path will teach you the essential ML techniques to stand out from the competition. By the end, you'll have job-ready skills in data pipeline creation, model deployment, and inference.
22 hours
299 Lessons
Learning Objectives
Learn to analyze and manipulate data in Pandas and Numpy.
Dive into Deep Learning with TensorFlow and Keras.
Understand the basics of image recognition using variations of Convolutional neural networks (CNN).
Get the hang of Natural Language Processing and related concepts.
Build advanced data pipelines and execute models using TensorFlow.
Learn to design ML-based systems such as search ranking, recommender systems, and others.
Path Contents
Contributors:
Your method is simple, straight to the point and I can practice with it everywhere, even from my phone, that's something I have never had in other learning platforms.
I highly recommend Educative. The courses are well organized and easy to understand.
I prefer Educative courses because they have a nice mix of text & images. I find that with full video courses, it can often be too easy to go into passive learning mode.
I prefer Educative courses because they have a nice mix of text & images. I find that with full video courses, it can often be too easy to go into passive learning mode.
Your method is simple, straight to the point and I can practice with it everywhere, even from my phone, that's something I have never had in other learning platforms.
I highly recommend Educative. The courses are well organized and easy to understand.
I prefer Educative courses because they have a nice mix of text & images. I find that with full video courses, it can often be too easy to go into passive learning mode.
