PhD fellow in Theoretical Machine Learning
University of Copenhagen, Denmark

More Details: https://www.marktechpost.com/job/phd-fellow-in-theoretical-machine-learning/
Department of Computer Science, Faculty of Science at University of Copenhagen is offering a PhD scholarship in Theoretical Machine Learning commencing 01.10.2019 or as soon as possible thereafter.

Deep Learning and Medical Imaging: Part 2 🎯]
If you're a crafty AI engineer who wants to play with code to learn how things work, just keep reading !
In this post, you'll learn how to use PyTorch to train an Anterior Ligament Cruciate tear classifier that successfully detects these injuries from the MRNet MRI dataset with a very high performance (AUC > 0.95)
You'll dive into the code and go through various tips and tricks ranging from transfer learning to data augmentation, stacking and handling medical images.
You'll also learn about optimization tricks as well as how to organize code efficiently with neural architecture design.
Link to part 2: https://ahmedbesbes.com/automate-the-diagnosis-of-knee-injuries-with-deep-learning-part-2-building-an-acl-tear-classifier.html
Github repo with full code: https://github.com/ahmedbesbes/mrnet

#deeplearning #mediclaimaging #computervision

Can Unconditional Language Models Recover Arbitrary Sentences?
Subramani et al.: https://arxiv.org/abs/1907.04944
#ArtificialIntelligence #LanguageModels #MachineLearning

Natural Adversarial Examples

Hendrycks et al.: https://arxiv.org/abs/1907.07174) arxiv.org/abs/1907.07174

Dataset and code: https://github.com/hendrycks/natural-adv-examples

#MachineLearning #ComputerVision #PatternRecognition

Job Opening for Machine Learning Engineer in Bangladesh!!

Vacancy: 4 or more.
Salary: 40,000 BDT to 80,000 BDT
Employment Status: Full time.
Job Location: Dhaka Division, Bangladesh

(Joining date for selected candidates will be around November, 2019)

Job position: Machine Learning Engineer

Job Responsibilities:
1. Directing clients to a solution with Machine learning
2. Research on state of the art architecture or new model
3. Data analysis and visualization

Educational Requirements:
○ Bachelor of Science (BSc) in Computer Science or Applied Mathematics.
○ (Master’s/PhD with research experience in machine learning field is highly appreciable.)

Skill & Experience Requirements:
○ Practical knowledge of AI techniques such as machine learning, deep learning, optimization algorithms.
○ Experience of using machine learning framework such as TensorFlow, Keras, PyTorch, Chainer, etc.
○ Fluency in Python, R or C ++.
○ Sound knowledge of Linear Algebra, basic of Statistics, Data Structure, basic Computer Science Algorithms.
○ Basic Computer Science knowledge, e.g. operating system, computer architecture, networking, etc.
○ Software development experience in projects and teams.
○ Development experience using version control system by Git et al., AWS or GCP, Docker.

Compensation and Other Benefits
○ Performance bonus
○ Weekly 2 holidays
○ Festival Bonus: 2
○ Lunch Facilities
○ Salary Review: Yearly

Application Deadline: 21 July, 2019

How to apply:
Please find further details and apply from the following link: https://www.chowagiken.co.jp/job/

Note: Chowa Giken Company Seminar will be held in 19th July, 2019
from 11:00-12:00 BDT (1H) at BJIT LTD 6 floor seminar room.
If you are interested to apply for our position, we would be appreciated your participation

NIPS 2017 Invited talk

"Deep Reinforcement Learning with Subgoals"

By David Silver: https://vimeo.com/249557775

#ArtificialIntelligence #DeepLearning #MachineLearning #NeuralNetworks #ReinforcementLearning

If you're curious how hair recoloring worked on FaceApp, this might give you a hint! (CVPR 2019)

https://www.profillic.com/paper/arxiv:1907.06740

Find The Most Updated and Free Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Mathematics, Python, R Programming Resources.

Full List: https://www.marktechpost.com/free-resources/

📷CS109 Data Science- Harvard

📷Data Science Essentials- Microsoft

📷Learning from Data – California Institute of Technology

📷The Mathematics of Machine Learning by UC Berkeley

📷"Foundations of Data Science" Book by Avrim Blum, John Hopcroft, and Ravindran Kannan

📷Python Data Science Handbook by Jake VanderPlas

Best Paper Awards in Computer Science (since 1996)

Conferences: AAAI ACL CHI CIKM CVPR FOCS FSE ICCV ICML ICSE IJCAI INFOCOM KDD MOBICOM NSDI OSDI PLDI PODS S&P SIGCOMM SIGIR SIGMETRICS SIGMOD SODA SOSP STOC UIST VLDB WWW

By Jeff Huang : https://jeffhuang.com/best_paper_awards.html

#artificialintelligence #computerscience #machinelearning

Deep Learning to Assess Long-term Mortality From Chest Radiographs

https://jamanetwork.com/journals/jamanetworkopen/article-abstract/2738349

12 challenges of AI adoption

https://neoteric.eu/blog/12-challenges-of-ai-adoption/

Generative Deep Learning book
https://shop.oreilly.com/product/0636920189817.do

Great lecture by Prof Geoffrey Hinton at the Royal Society of Edinburgh 2019


video : https://www.youtube.com/watch?v=vQ5XR0pFV10 https://t.iss.one/ArtificialIntelligenceArticles

Self-supervised Learning for Video Correspondence Flow

Zihang Lai and Weidi Xie: https://zlai0.github.io/CorrFlow/

#MachineLearning #SelfSupervisedLearning #UnsupervisedLearning

​​A #GauGAN timelapse video as a demo for landscape generation

Link: https://www.nvidia.com/en-us/research/ai-playground/

#GAN #Video #Nvidia

"Variational Autoencoders and Nonlinear ICA: A Unifying Framework"
Khemakhem et al.: https://arxiv.org/abs/1907.04809
#MachineLearning #GenerativeModels #VariationalAutoencoders

Generating YouTube Titles Using Image Captioning
https://darshancrout.ai/post/generating-youtube-titles-using-image-captioning/

Machine Learning and Data Science Applications in Industry
https://github.com/firmai/industry-machine-learning

Photos from Crude Sketches: NVIDIA's GauGAN Explained Visually
https://adamdking.com/blog/gaugan/