Most amazing start: Siraj Raval youtube:
https://www.youtube.com/channel/UCWN3xxRkmTPmbKwht9FuE5A
A few blog posts that give a nice flavor of how machine learning is really becoming like super powers now.
The first by a guy from Stanford & Google and now chief of AI at Tesla, Andrej Karpathy:
http://karpathy.github.io/2015/05/21/rnn-effectiveness/
This one is from Greg Brockman, who Elon Musk and Sam Altman recruited to be a co-founder and CTO of OpenAI. It is a nice perspective as a newcomer diving into AI:
https://blog.gregbrockman.com/define-cto-openai
This is an online book by a really smart guy at YC Research, Michael Nielsen:
http://neuralnetworksanddeeplearning.com/
This is a widely popular online video course by Andrew Ng, ex Stanford, Google, and Baidu:
https://www.coursera.org/learn/machine-learning/home/welcome
This is the authoritative book on the basics of deep learning -- even Elon Musk said so :) though some newcomers see it as challenging. It's three parts, and really just part 2 gives you all the basics of deep learning. Part 1 is just review of the underlying math if you need a review, and part 3 introduces areas of new research -- but the material in part 2 gives you enough to understand and apply deep learning engineering:
http://www.deeplearningbook.org/
Andreessen Horowitz has a very informative AI Playbook:
http://aiplaybook.a16z.com/
Dive into Tensorflow, Keras, etc.:
https://www.tensorflow.org/get_started/
https://keras.io/
Now that you've gotten into it, check out the ML resources & research in my public githubs:
https://github.com/trampolinerocket?tab=repositories
https://github.com/x-rayAI
There are also many more resources listed on the awesome-artificial-intelligence repo.