On Artificial Intelligence
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On Artificial Intelligence
108 subscribers
On Artificial Intelligence
https://software.intel.com/en-us/ai-academy/students/kits 4 Different Courses for Artificial Intelligence And Deep Learning Provided By Intel
892 viewsedited  
On Artificial Intelligence
https://www.youtube.com/watch?v=dtFZrFKMiPI
YouTube
Best Laptop for Machine Learning
What kind of laptop should you get if you want to do machine learning? There are a lot of options out there and in this video i'll describe the components of an ideal laptop for ML. I'll also mention the ideal desktop, DIY machine, and cloud option. We'll…
118 views
On Artificial Intelligence
https://www.youtube.com/watch?v=9S2g7iixB9c
YouTube
Curiosity-Driven AI: How Effective Is It? | Two Minute Papers #257
The paper "Curiosity-driven Exploration by Self-supervised Prediction" and its source code is available here:
https://pathak22.github.io/noreward-rl/

Pick up cool perks on our Patreon page: https://www.patreon.com/TwoMinutePapers

We would like to thank…
109 views
On Artificial Intelligence
https://www.nytimes.com/2018/06/20/technology/deep-learning-artificial-intelligence.html
NY Times
Is There a Smarter Path to Artificial Intelligence? Some Experts Hope So (Published 2018)
A branch of A.I. called deep learning has transformed computer performance in tasks like vision and speech. But meaning, reasoning and common sense remain elusive.
120 views
On Artificial Intelligence
https://developers.google.com/machine-learning/crash-course/glossary Glossary Of Machine Learning
Google for Developers
Machine Learning Glossary  |  Google for Developers
117 views
On Artificial Intelligence
https://www.dataquest.io/blog/introduction-functional-programming-python/ Functional Programming With Python
Dataquest
Tutorial: Python Functions and Functional Programming
Learn about functions in Python and master the basics of functional Python programming in this in-depth tutorial for data scientists and programmers.
116 viewsedited  
On Artificial Intelligence
Functional-Programming-in-Python.pdf
1.6 MB
Functional Programming In Python
146 viewsedited  
On Artificial Intelligence
https://explained.ai/matrix-calculus/index.html
The Matrix Calculus You Need for Deep Learning
109 viewsedited  
On Artificial Intelligence
https://www.youtube.com/watch?v=nMK94JlKRb4
YouTube
Resume for Machine Learning
Welcome to my new course, Machine Learning Journey! If you’re a student, or between jobs, or in a different field, this 10 week course will help you learn everything you need from marketing your skills to building a solid mathematical foundation in order…
107 views
On Artificial Intelligence
https://dzone.com/articles/ten-machine-learning-algorithms-you-should-know-to?oid=linkedin
dzone.com
10 Machine Learning Algorithms You Should Know to Become a Data Scientist - DZone AI
Learn about the ten machine learning algorithms that you should know in order to become a data scientist.
102 views
On Artificial Intelligence
https://towardsdatascience.com/keras-a-thing-you-should-know-about-keras-if-you-plan-to-train-a-deep-learning-model-on-a-large-fdd63ce66bd2
119 views
On Artificial Intelligence
https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/
Oxford University Machine Learning Course
106 viewsedited  
On Artificial Intelligence
https://www.youtube.com/watch?v=8jQIKgTzQd4&list=PLkFD6_40KJIwTmSbCv9OVJB3YaO4sFwkX
Great Reinforcement Learning Course
YouTube
CS294-112 1/18/17
112 viewsedited  
On Artificial Intelligence
https://pandas.pydata.org/pandas-docs/stable/visualization.html
Great Visualization Examples, Using Panda
97 views
On Artificial Intelligence
https://jacobbuckman.com/post/tensorflow-the-confusing-parts-1/?utm_medium=email&utm_source=topic+optin&utm_campaign=awareness&utm_content=20180709+ai+nl&mkt_tok=eyJpIjoiTVRZellURmlZV05qWXpkaSIsInQiOiI3WURQRVdPTVM2RG00WnRhelRodkU1cm40Z1RRNDc4N3dpcytQS09GdElQR0Qrd21STzdzaDlsK3dmRmtwQXVMR0tNZVdTN0pueHZtZElTMjFBUkFKS1dwdng4S0pSb3ViZFhVVGxWNWhtUG1WXC9CV3M3dFBVektVY2J2eGNiWU0ifQ%3D%3D
Buckman's Homepage
Tensorflow: The Confusing Parts (1) | Buckman's Homepage
Click here to skip the intro and dive right in!
Introduction What is this? Who are you? I’m Jacob, a Google AI Resident. When I started the residency program in the summer of 2017, I had a lot of experience programming, and a good understanding of machine…
104 views
On Artificial Intelligence
https://www.youtube.com/watch?v=pQyzdwHBbqo
YouTube
Research to Code - Machine Learning tutorial
A lot of times, research papers don't have an associated codebase that you can browse and run yourself. In cases like that, you'll have to code up the paper yourself. That is easier said than done, and in this video i'll show you how you should read and dissect…
108 views
On Artificial Intelligence
https://clusterone.com/blog/2017/09/13/distributed-tensorflow-clusterone/
How to Write Distributed TensorFlow Code — with an Example on Clusterone
Clusterone
Clusterone - Blog
Clusterone - Scalable Machine Learning Platform for the AI first world
118 viewsedited  
On Artificial Intelligence
https://spacy.io/
great library for natural language processing
spacy.io
spaCy · Industrial-strength Natural Language Processing in Python
spaCy is a free open-source library for Natural Language Processing in Python. It features NER, POS tagging, dependency parsing, word vectors and more.
118 views
On Artificial Intelligence
https://simoninithomas.github.io/Deep_reinforcement_learning_Course/#syllabus
A Beginner To Expert Reinforcement Learning Course
111 views
On Artificial Intelligence
Forwarded from مرکز تحقیقات هوش مصنوعی پارت
#دوره_آموزشی
شرکت بلومبرگ هم به جمع شرکت های بزرگ دیگری که دوره های آنلاین و رایگان برگزار می کنند پیوسته و همین چند روز پیش از دوره یادگیری ماشین پیشرفته رایگان خودش رونمایی کرد.
همانطور که گفتیم خیلی از مباحث مطرح شد در این دوره پیشرفته است و مباحثی مثل GAUSSIAN MIXTURE MODELS و BAYESIAN CONDITIONAL PROBABILITY MODELS که در خیلی از دوره های آنلاین یادگیری ماشین آموزش داده نمی شوند در این دوره آموزش داده می شوند. برای همین برای گذراندن این دوره نیاز به پیش زمینه ای نسبتا قوی در ریاضیات دارید. البته پیاده سازی الگوریتم ها در این دوره اغلب به وسیله کتابخانه scikit-learn #پایتون صورت می پذیرد.

سرفصل، ویدئوها، اسلایدها، کدها و تکالیف این دوره را می توانید در آدرس زیر ببینید:
https://bloomberg.github.io/foml

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