Data Science Engineering
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Machine Learning, Data Science, Engineering, Programming.
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Forwarded from Data Science Boom
Corporates Going All in on Neural Machine Translation Research
http://bit.ly/2WmRWLl

How random can you be?
http://bit.ly/2WtyXyV

Remastering Star Trek: Deep Space Nine With Machine Learning
http://bit.ly/2WnamLQ

Machine Learning for Dummies An Amazing ML Guide
http://bit.ly/2Wl1aaR

Data Science Project - Analyzing Space Launches with Python.
http://bit.ly/2WpImaG
Forwarded from Data Science Boom
What Could Possibly Go Right? The Utopian Vision of AI
http://bit.ly/2WsAl4J

The Data Scientist Profile 2019 – Skills, Experience, Education Of 1,001 Data Scientists
http://bit.ly/2Wq4u4u

Viewing Matrices & Probability as Graphs
http://bit.ly/2HGOzM6

Infographic: 11 Steps to Transition into Data Science (for Reporting / MIS / BI Professionals)
http://bit.ly/2WsygpA

Another 10 Free Books for Machine Learning and Data Science
http://bit.ly/2Wpduac
This is a great place to share resources with other, here is Global Artificial Community platform, where you can find questions, discussions solutions only about #AI. And also there are some upcoming great features, which will really usefull for us. Visit, login, share and be more related with #AI stuff.
Forwarded from The Hacker News
The Hacker News
Advanced Breach Protection Demystified – Untold Truths On Security Beyond AV

Doing business in today's connected world means dealing with a continually evolving threat landscape.

With potential losses due to downtime following a breach, plus valuable client and proprietary information at risk, most organizations realize they cannot afford to be complacent.

This puts extra onus on security IT teams, who are continuously left scrambling, looking for the best way to
Forwarded from Data Science Boom
AI Trends for 2019: What Should we Expect?
http://bit.ly/2Wu5tRe

Machine Learning for Healthcare, MIT Spring 2019 Course
http://bit.ly/2WAW1Md

Datasets for machine learning. A list of the biggest datasets from across the web.
http://bit.ly/2HKOYNn

What’s Driving the Demand for Data Scientists?
https://whr.tn/2HKPfzT

2019 March Madness Predictions
https://53eig.ht/2HJgv1P
Forwarded from Data Science Boom
Boom! What to read on the weekend, Issue #56

25 Open Datasets for Deep Learning
http://bit.ly/2WA0nCW

Want a Job in Data Science? Here’s Why You Should Specialize
http://bit.ly/2WtdFkE

The Pareto Principle for Data Scientists
http://bit.ly/2HMByAG

The U.S. DoD wants to dominate Russia and China in Artificial Intelligence.
http://bit.ly/2Wrg93c

Facial Recognition in the Military – Current Applications
http://bit.ly/2Wwksu7

How AI is transforming the Smart Cities IoT?
http://bit.ly/2WBU0zl

The Little Black Dress
http://bit.ly/2HOez8q

The Surprising Winners and Losers of This Year’s Tax Season
https://bloom.bg/2WxqPx5

How to apply predictive analytics to premiership football to beat the bookies
http://bit.ly/2HOhrBU

Is Robotic Process Automation (RPA) Really AI?
http://bit.ly/2Wv7lt2
Forwarded from Data Science Boom
Boom! Weekly selection from DSB. Issue #47
The TOP 10 most popular links for the week

1. Another 10 Free Books for Machine Learning and Data Science
http://bit.ly/2Wpduac

2. Machine Learning for Dummies An Amazing ML Guide
http://bit.ly/2Wl1aaR

3. Nvidia AI turns sketches into photorealistic landscapes in seconds
https://tcrn.ch/2HE2K4m

4. How To Work In Data Science, AI, Big Data
http://bit.ly/2WvZBXV

5. Machine Learning for Healthcare, MIT Spring 2019 Course
http://bit.ly/2WAW1Md

6. AI Trends for 2019: What Should we Expect?
http://bit.ly/2Wu5tRe

7. The Data Scientist Profile 2019 – Skills, Experience, Education Of 1,001 Data Scientists
http://bit.ly/2Wq4u4u

8. Datasets for machine learning. A list of the biggest datasets from across the web.
http://bit.ly/2HKOYNn

9. What's the difference between data science, machine learning, and artificial intelligence?
http://bit.ly/2HLp0Jz

10. Data Science Project - Analyzing Space Launches with Python.
http://bit.ly/2WpImaG
Forwarded from Data Science Boom
Boom! Monthly selection from DSB. Issue #11
The TOP 10 most popular links for the month (March 2019)

1. This resume does not exist
http://bit.ly/2O8cN2d

2. Best Deep Learning Books: Updated for 2019
http://bit.ly/2EHy2oc

3. A Data Cleaner`s Cookbook
http://bit.ly/2EKyi60

4. Another 10 Free Books for Machine Learning and Data Science
http://bit.ly/2Wpduac

5. The A.I. Diet. Forget government-issued food pyramids. Let an algorithm tell you how to eat.
https://nyti.ms/2F99dBN

6. Game of Thrones in Words
https://tabsoft.co/2VAY1n3

7. The best of ML. 40 of the best resources for Machine Learning
http://bit.ly/2NS1Z8h

8. The Most Complete List of Best AI Cheat Sheets
http://bit.ly/2O4O1Qg

9. ML study path, focused on TensorFlow and Scikit-Learn
http://bit.ly/2FhWTPY

10. Machine Learning for Dummies An Amazing ML Guide
http://bit.ly/2Wl1aaR
Forwarded from Programming Resources via @like
Papers With Code highlights trending ML research and the code to implement it.
تو این سایت کسایی رو که مقاله دادن و پیاده سازی‌هاشون رو در اختیار عموم قرار دادن لیست کرده (به همراه خود مقاله و کد پیاده‌سازی شده)

#paper #neural_network #state_of_the_art #machine_learning
thanks to: @aznourian
@pythony

https://paperswithcode.com
Forwarded from Data Science Boom
Using AI to help increase blood donations
http://bit.ly/2HT082O

Turing Award Won by 3 Pioneers in Artificial Intelligence
https://nyti.ms/2HU0mGJ

Common statistical tests are linear models (or: how to teach stats)
http://bit.ly/2WBtDt7

Towards Robust and Verified AI: Specification Testing, Robust Training, and Formal Verification
http://bit.ly/2WytczM

Strategies for working with new data
http://bit.ly/2HU0KoF
​​Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening

Paper claims model to perform better than human.

ArXiV: https://arxiv.org/abs/1903.08297
GitHub (code & models): https://github.com/nyukat/breast_cancer_classifier

#BreastCaner #healthcare #DL #CV
​​🔥DeepMind released dataset for training algebraic perception

Mathematics Dataset is a large-scale extendable dataset of mathematical questions, for training (and evaluating the abilities of) neural models that can solve algebraic problems (reason algebraically).

ArXiV: https://arxiv.org/abs/1904.01557
GitHub: https://github.com/deepmind/mathematics_dataset
Forwarded from Data Science Boom
AI disaster won’t look like the Terminator. It’ll be creepier.
http://bit.ly/2WNjR7c

Asking the Right Questions with Machine Learning
http://bit.ly/2G3ax9V

Artificial Intelligence in Healthcare – A Comprehensive Overview
http://bit.ly/2G01F4W

Nuts and Bolts of Reinforcement Learning: Introduction to Temporal Difference (TD) Learning
http://bit.ly/2WMPaPS

DeepMind and Google: the battle to control artificial intelligence
http://bit.ly/2WPBJP9
Forwarded from Data Science Boom
Boom! What to read on the weekend, Issue #57

16 OpenCV Functions to Start your Computer Vision journey (with Python code)
http://bit.ly/2WQLf4C

Top 15 Data Science Podcasts Worth Listening To
http://bit.ly/2I19tFU

R vs Python for Data Visualization
http://bit.ly/2I1AA3u

Two new planets discovered using artificial intelligence
http://bit.ly/2WMend1

Reinforcement Learning vs. Differentiable Programming
http://bit.ly/2WIEEsG

Artificial intelligence: the art world’s weird and wonderful new medium
http://bit.ly/2I2HzcB

For Data Warehouse Performance, One Big Table or Star Schema?
http://bit.ly/2WNxinJ

How to Discover the AI Initiatives of Fortune 500 Companies
http://bit.ly/2I2SQcS

Why Differential Privacy Should Be Top of Mind for Data Science and Governance Teams
http://bit.ly/2WNxkMn

AI Learning Accelerator by ODSC
http://bit.ly/2WPWMkC
Make Trump Sing Again

Generated by a Trump TTS model trained based off the paper "Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis", where given a reference audio the model will try to replicate that style.

ArXiV: https://arxiv.org/pdf/1803.09017.pdf
Youtube: https://youtu.be/3rgAVT8b4fw

#tts #song #speech #DL
Forwarded from Data Science Boom
The Data Science Career Guide
http://bit.ly/2I5ew8d

19 Data and Analytics Predictions Through 2025
http://bit.ly/2WS5te4

Common Data Mistakes to Avoid
http://bit.ly/2IaKL5U

spaCy Cheat Sheet: Advanced NLP in Python
http://bit.ly/2WX2pgN

The Emotions Recognized in Vocal Bursts (interactive map)
http://bit.ly/2WOtBhM
Forwarded from Data Science Boom
Top 10 Coding Mistakes Made by Data Scientists
http://bit.ly/2WWLc77

What the car industry’s AI problem tells us about the future of work
http://bit.ly/2I8NzAr

"Data Scientist" is the hottest profession of 2019 according to job-listing data
http://bit.ly/2X121xY

800 scientists say it’s time to abandon “statistical significance”
http://bit.ly/2I8nJMZ

Putting data back into context
http://bit.ly/2X6xmzp
Computer Vision news from RSIP VISION. April 2019