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Netflix or Coursera? How to finish Andrew Ng's 1st Deep Learning Course in 7 days

@machinelearnbot

If you love Andrew Ng's first Coursera course on machine learning as much as I do, you were equally hyped when you heard that deeplearning.ai Since everybody's on a tight schedule, let's try the impossible and finish a course that is laid out to last one month in one week. Let's not rush through though, but actually understand the material. And of course, we'll do it while continuing our 40h/week job. What are the advantages of finishing the course quickly you ask?



The Best Answers to Your Most Crucial Deep Learning Questions

#artificialintelligence

Talk to someone with programming skills and discuss any subject about deep learning with them so that you could quickly jump in as a newbie. Though some people figure out various libraries embedding math is used universally, you needn't understand the theory to implement deep learning tasks, I still recommend you learn some math knowledge like partial derivative. Some resources could give you a good starting point like Stanford's online course CS231n, Deep Learning at Oxford 2015and Andrew Ng's Coursera class. Also, some interesting online books like Neural Networks and Deep Learning could also give you an assistance to deep learning. Facilities and toolkits should also be available.


Unsupervised Deep Learning in Python Udemy

@machinelearnbot

This course is the next logical step in my deep learning, data science, and machine learning series. I've done a lot of courses about deep learning, and I just released a course about unsupervised learning, where I talked about clustering and density estimation. So what do you get when you put these 2 together?



If launching a career in AI is your thing, this online course can get you started

Mashable

Just to let you know, if you buy something featured here, Mashable might earn an affiliate commission. From self-driving cars and a cucumber sorter to disaster-prediction programs and cancer-detection systems, current applications of artificial intelligence technology would have The Jetsons blushing and Asimov deeply shook. According to one survey of industry experts at an AI conference, intelligent machines will be able to perform any intellectual task a human can perform by the year 2050. As such, there's a growing need among companies for AI professionals that know the ins and outs of machine learning (ML) -- giving a device access to data and letting it learn for itself -- as well as its newer subset, deep learning. Capable of making independent decisions about unstructured data, deep learning networks have been described by Forbes as being capable of unlocking "the treasure trove of unstructured big data for those with the imagination to use (them)."



TensorFlow 101: Introduction to Deep Learning - Udemy

@machinelearnbot

Serengil received his MSc in Computer Science from Galatasaray University in 2011. He has been working as a software developer for a fintech company since 2010. Currently, he is a member of AI and Machine Learning team as a Data Scientist. His current research interests are Machine Learning and Cryptography. He has published several research papers about these motivations.


An Overview of 3 Popular Courses on Deep Learning

@machinelearnbot

I have been actively focusing on specialising Deep Learning for the last 2 years. My personal interest towards Deep learning started around 2015 when Google open sourced Tensorflow. Tried quickly couple of examples from the Tensorflow documentation and left with a feeling that Deep learning is difficult, partly because the framework was new and required better hardware and tons of patience. Fast forward to 2017 I have spent 100's of hours working on Deep learning projects and the technology has become more and more accessible due to several advancements in software (ease of usage -- Keras, PyTorch), hardware(GPU becoming commercially viable for someone like me sitting in India - Not still cheap), availability of data, good books and MOOCs. After completing the 3 most popular MOOCS in deep learning from Fast.ai, deeplearning.ai/Coursera


The 3 popular courses on DeepLearning – Towards Data Science – Medium

@machinelearnbot

Fast forward to 2017 I have spent 100's of hours working on Deep learning projects and the technology has become more and more accessible due to several advancements in software(ease of usage -- Keras, PyTorch), hardware(GPU becoming commercially viable for someone like me sitting in India -Not still cheap), availability of data, good books and MOOCS. After completing the 3 most popular MOOCS in deep learning from Fast.ai, deeplearning.ai/Coursera In this post I talk about 5 aspects of each course which will help you decide. I came across this course when reading an article in kddnudgets . For the first time I heard about Jeremy Howard, searched about him in Wikipedia and was impressed .