Check out the new "Machine Learning Guide for 2019", which includes 20 Free Resources (blogs & videos) to Learn Machine Learning: https://lnkd.in/ejqejpA by the Open Data Science Conference (ODSC) team.

#BigData #DataScience #DataScientists #AI #DeepLearning


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🤖 Machine learning Vs Traditional programming
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When algorithms surprise us

Blog by Janelle Shane: https://lnkd.in/dQnCVa9

Original paper: https://lnkd.in/dt63hJR

#algorithm #artificialintelligence #machinelearning #reinforcementlearning #technology

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How do you go from self-play to the real world? : Transfer learning

NeurIPS 2017 Meta Learning Symposium: https://lnkd.in/e7MdpPc

"I think transfer learning is the key to general intelligence. And I think the key to doing transfer learning will be the acquisition of conceptual knowledge that is abstracted away from perceptual details of where you learned it from." — Demis Hassabis

#artificialintelligence #deeplearning #metalearning #reinforcementlearning #selfplay

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Google's Artificial Intelligence And Machine Learning Research Priorities: Freelancers, Take Note

https://www.forbes.com/sites/jonyounger/2019/01/16/googles-ai-and-ml-research-priorities-freelancers-take-note/#52abed10344c

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How to Use The Pre-Trained VGG Model to Classify Objects in Photographs 👉Discover the VGG Convolutional Neural Network Models for Image Classification https://buff.ly/2GadALk
#AI #DeepLearning #NeuralNetworks

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TOP 10 SELECTED MACHINE LEARNING RESOURCES

After long hours curated content on data science resources
selected top 10 selected machine learning resources on http://www.claoudml.co/ . The list lucrative resources to learn machine learning,

Details on http://www.claoudml.co/

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I use Reddit daily I wanted to post my best topics related to machine learning and data science that I found interesting in this platform and I'll be doing that each week.

Here you can find my favorite ones for the week 1/6/2019 to 1/12/2019


📌 What websites do you check regularly for data science/big data/ML/AI news and articles? https://lnkd.in/dzHGgZY

📌 Best book for deep learning for beginner https://lnkd.in/dpHUk6M

📌 MIT Deep Learning Basics: Introduction and Overview (Lex Fridman ) https://lnkd.in/dYrMRfr

📌 PyTorch implementations of RL Algorithms. https://lnkd.in/dvamnAp

📌 11 Great Articles About Natural Language Processing (NLP) https://lnkd.in/deG7VjR

Hope you find them helpful
And I'll be glad if you can share your favorite topics or thoughts

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"The future depends on some graduate student who is deeply suspicious of everything I have said." - Geoffrey Hinton. There couldn't be a better quote to end a lecture on deep learning state of the art with: https://lnkd.in/e4C_Ejg

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This is an excellent overview on the state of the art methods for NLP (natural language processing). An exciting area of research with wide applications.

https://lnkd.in/eKt-fKK

#analytics #machinelearning #datascience #nlp

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How to fail the Data Science business case
2. Recruiting as quick-fix — “I am looking to recruit 150 Data Scientists in the next 12 months”. I am not kidding: I did get that phone call, and it was about recruiting ‘Data-Scientists-as-consultants’. Yes, expertise matters. Yes, there is a shortage of talent. And, yes, as companies struggle to build up data science capabilities they likely will be keen on consultancy services. However, the shortage of experts is real. Moreover, a senior data scientist likely prefers building products over project work, and impact with customers over project management meetings. Overall, I have seen quite a few attempts at using recruiting-as-a-fix, often failing at implementation already, either because of an unrealistic ‘unicorn’ wishlist or because the case couldn’t be made as to why an experienced Data Scientists should join the company. Moreover, Data Scientists frequently report that they are interviewed by non-experts.
#interviews #datascientist #recruiting #machinelearning

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Machine Learning is Fun! Part 3: Deep Learning and Convolutional Neural Networks

by Adam Geitgey: https://lnkd.in/gZ6sdPW

#artificialintelligence #deeplearning #machinelearning

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My ML Tip of the Week on Overfitting

💡 What is overfitting?

Overfitting is when a model makes much better predictions on known data (data included in the training set) than unknown data (data not included in the training set).

💡 How can you combat overfitting?

👉 A few ways of combating overfitting are:
• simplify the model by use fewer parameters
• simply the model by changing the hyperparameters
• simplify the model by introducing regularization
• select a different model
• use more training data
• gather better quality data

#datascience #machinelearning

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Text preprocessing principles:

- Text normalization
- Tokenization
- Removing stop words
- Stemming
- Lemmatization
- Part-of-speech tagging (POS)
- Chunking (shallow parsing)
- Named entity recognition
- Collocation extraction
- Relationship extraction

This article describes the points mentioned above in more details
https://lnkd.in/dzeFR7e

#NLP #DeepLearning
#MachineLearning

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This slide from lex fridman is amazing. How many of these do you know?


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Here is a simple explanation of what a Q-Learning is.

You see here Q-learning with value iteration, which is a reinforcement learning technique used for learning the optimal policy in a Markov Decision Process (MDP)

The authors explain the technique which works by introducing a game where a reinforcement learning agent tries to maximize points, and through this.

Small introduction on Q-tables and the trade-off between exploration and exploitation is also given.

Credits: deeplizard , Please see full list here
https://lnkd.in/dmuaGsw
#artificialintelligence #reinforcementlearning #deeplearning #datascience

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We offer a number of fully-funded fellowship opportunities to students applying for the Master of Computer Science or PhD program in the Faculty of Computer Science at Dalhousie University, Canada. As seen on their website👇🏿
https://deepsense.ca/fellowships/

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AIMS is accepting applications for fully-funded UniofOxford PhD places to work on machine learning, vision, robotics, sensor networks and more. The deadline is 25 Jan. More details and the application site: https://www.ox.ac.uk/admissions/graduate/courses/autonomous-intelligent-machines-and-systems?wssl=1 … Please spread the word!

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Start the new year applying for a fully-funded 4-year PhD position in my lab on formal verification of ethical principles of artificial intelligence: https://umu.mynetworkglobal.com/en/what:job/jobID:241808/ … Still a few days to apply! #AI #AIethics #responsibleAI

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One of the best I’ve seen in a LONG time!

Except, The Java 8 streaming API / Java Lamda functions have completely changed how I look at the language.

Nevertheless, Python was and is my first love so... #FunctionalProgramming

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