Artificial Intelligence pinned ยซCompany: Infogain Role: Software Developer-AI(Artificial Intelligence)/ML Experience: 1-3 Years Location: Mumbai, Maharashtra https://www.infogain.com/careers/jobID=TH50120_20015 Here You Go!!! ๐คฉ All you need related to Machine Learning is here!!! Grabโฆยป
Machine Learning and Security!!!
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Instagram: @artificialintelligence_ml
YouTube: https://www.youtube.com/channel/UClHa8jp3wofpqlJsTmuXurg
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Here You Go!!! ๐คฉ
All you need related to Machine Learning is here!!!
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AI with AI
I'm Asif Immanad(AI), a mentor in the field of Artificial Intelligence(AI), which is how the channel's name, AI with AI, came out.
I've spent 12 years in the IT industry as corporate technical trainer, where I helped people understand programming languagesโฆ
I've spent 12 years in the IT industry as corporate technical trainer, where I helped people understand programming languagesโฆ
Artificial Intelligence pinned ยซhttps://youtu.be/gXtO6Ce2FQk What is Machine Learning?๐คฉ How does it works? ๐ยป
It doesnโt matter if you are beginner or new to machine learning or advanced researcher in the field of deep learning methods and their application, everybody can benefit of Lex Fridmanโs course on Deep Learning for Self-Driving Cars.
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Artificial Intelligence pinned ยซhttps://youtu.be/gXtO6Ce2FQk What is Machine Learning?๐คฉ How does it works? ๐ยป
We have job openings please share your resumes to hr@squats.in
๐๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ถ๐ฎ๐น ๐๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐ฒ๐ฟ - ๐ฅ&๐
๐ฅ๐ฒ๐พ๐๐ถ๐ฟ๐ฒ๐บ๐ฒ๐ป๐๐:
Must have 3-8+ years of experience in Machine Learning and Artificial Intelligence.
Hands on knowledge of Tensorflow, Scikit-learn, pandas, NLTK, Spacy and Keras.
Have knowledge of Development and Deployment of models.
1. ๐๐ผ๐ด๐ถ๐๐๐ถ๐ฐ ๐ฟ๐ฒ๐ด๐ฟ๐ฒ๐๐๐ถ๐ผ๐ป
2. ๐๐น๐๐๐๐ฒ๐ฟ๐ถ๐ป๐ด
3. ๐ฅ๐ฎ๐ป๐ฑ๐ผ๐บ ๐๐ผ๐ฟ๐ฒ๐๐
4. ๐ฆ๐๐ฝ๐ฝ๐ผ๐ฟ๐ ๐ฉ๐ฒ๐ฐ๐๐ผ๐ฟ ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ
5. ๐ก๐ฎรฏ๐๐ฒ ๐๐ฎ๐๐ฒ๐
6. ๐๐ก๐ก/ ๐ฅ๐๐ก๐ก
7. I๐บ๐ฎ๐ด๐ฒ๐ป๐ฒ๐
Have knowledge of self learning artificial intelligence and GANs.
Natural Language Processing is MUST.
Development experience in ChatBots is MUST.
Tools
Python (mandatory), R, core Java.
Web Frameworks:
Flask (mandatory) , Django (mandatory)
Databases:
MySQL (mandatory) , NoSQL (mandatory)
Join us:- @Artificial_intelligence_AI
๐๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ถ๐ฎ๐น ๐๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐ฒ๐ฟ - ๐ฅ&๐
๐ฅ๐ฒ๐พ๐๐ถ๐ฟ๐ฒ๐บ๐ฒ๐ป๐๐:
Must have 3-8+ years of experience in Machine Learning and Artificial Intelligence.
Hands on knowledge of Tensorflow, Scikit-learn, pandas, NLTK, Spacy and Keras.
Have knowledge of Development and Deployment of models.
1. ๐๐ผ๐ด๐ถ๐๐๐ถ๐ฐ ๐ฟ๐ฒ๐ด๐ฟ๐ฒ๐๐๐ถ๐ผ๐ป
2. ๐๐น๐๐๐๐ฒ๐ฟ๐ถ๐ป๐ด
3. ๐ฅ๐ฎ๐ป๐ฑ๐ผ๐บ ๐๐ผ๐ฟ๐ฒ๐๐
4. ๐ฆ๐๐ฝ๐ฝ๐ผ๐ฟ๐ ๐ฉ๐ฒ๐ฐ๐๐ผ๐ฟ ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ
5. ๐ก๐ฎรฏ๐๐ฒ ๐๐ฎ๐๐ฒ๐
6. ๐๐ก๐ก/ ๐ฅ๐๐ก๐ก
7. I๐บ๐ฎ๐ด๐ฒ๐ป๐ฒ๐
Have knowledge of self learning artificial intelligence and GANs.
Natural Language Processing is MUST.
Development experience in ChatBots is MUST.
Tools
Python (mandatory), R, core Java.
Web Frameworks:
Flask (mandatory) , Django (mandatory)
Databases:
MySQL (mandatory) , NoSQL (mandatory)
Join us:- @Artificial_intelligence_AI
Hiring for ML @ Episource !
I am hiring data scientists with experience levels of 1-5 years. If you are interested to work on NLP and ML for bleeding edge use cases in healthcare, please do apply.
During the course of a typical day with our team, expect to work on one or more projects around the following;
1. Deep learning NER for clinical text
2. Using transfer learning for text classification
3. Dependency parsing and textual entailment
4. Deploy ML/NLP algorithms at scale
5. Build scalable graph algorithms for semantic search
6. Large scale information extraction engines for text
7. Clinical suspecting and building models to predict patient health
8. Big data and distributed ML with PySpark on AWS EMR, and more !
Please upload your resume and fill up your details here: https://lnkd.in/fESPRB2
source https://www.linkedin.com/posts/manasranjankar_machinelearning-hiring-datascience-activity-6633337154753921024--xUD
Instagram: @artificialintelligence_ml
YouTube: https://www.youtube.com/channel/UClHa8jp3wofpqlJsTmuXurg
Telegram: https://t.me/Artificial_intelligence_AI
I am hiring data scientists with experience levels of 1-5 years. If you are interested to work on NLP and ML for bleeding edge use cases in healthcare, please do apply.
During the course of a typical day with our team, expect to work on one or more projects around the following;
1. Deep learning NER for clinical text
2. Using transfer learning for text classification
3. Dependency parsing and textual entailment
4. Deploy ML/NLP algorithms at scale
5. Build scalable graph algorithms for semantic search
6. Large scale information extraction engines for text
7. Clinical suspecting and building models to predict patient health
8. Big data and distributed ML with PySpark on AWS EMR, and more !
Please upload your resume and fill up your details here: https://lnkd.in/fESPRB2
source https://www.linkedin.com/posts/manasranjankar_machinelearning-hiring-datascience-activity-6633337154753921024--xUD
Instagram: @artificialintelligence_ml
YouTube: https://www.youtube.com/channel/UClHa8jp3wofpqlJsTmuXurg
Telegram: https://t.me/Artificial_intelligence_AI
LinkedIn
#machinelearning #hiring #datascience #nlp | Manas Ranjan Kar | 138 comments
Hiring for ML @ Episource !
I am hiring data scientists with experience levels of 1-5 years. If you are interested to work on NLP and ML for bleeding edge use cases in healthcare, please do apply.
During the course of a typical day with our team, expectโฆ
I am hiring data scientists with experience levels of 1-5 years. If you are interested to work on NLP and ML for bleeding edge use cases in healthcare, please do apply.
During the course of a typical day with our team, expectโฆ
GANILLA: Generative Adversarial Networks for Image to Illustration Translation.
Github: https://github.com/giddyyupp/ganilla
Dataset: https://github.com/giddyyupp/ganilla/blob/master/docs/datasets.md
Paper: https://arxiv.org/abs/2002.05638v1
Here You Go!!! ๐คฉ
All you need related to Machine Learning is here!!!
Grab it, Store it and share it!!!
Enjoy!!! โค๏ธ
Instagram: @artificialintelligence_ml
YouTube: https://www.youtube.com/channel/UClHa8jp3wofpqlJsTmuXurg
Telegram: https://t.me/Artificial_intelligence_AI
Github: https://github.com/giddyyupp/ganilla
Dataset: https://github.com/giddyyupp/ganilla/blob/master/docs/datasets.md
Paper: https://arxiv.org/abs/2002.05638v1
Here You Go!!! ๐คฉ
All you need related to Machine Learning is here!!!
Grab it, Store it and share it!!!
Enjoy!!! โค๏ธ
Instagram: @artificialintelligence_ml
YouTube: https://www.youtube.com/channel/UClHa8jp3wofpqlJsTmuXurg
Telegram: https://t.me/Artificial_intelligence_AI
3D Face Reconstruction with Position Map Regression Networks ๐ (with source code)
1. https://heartbeat.fritz.ai/3d-face-reconstruction-with-position-map-regression-networks-36f0ac2d3ef1
2. https://github.com/YadiraF/PRNet
Here You Go!!! ๐คฉ
All you need related to Machine Learning is here!!!
Grab it, Store it and share it!!!
Enjoy!!! โค๏ธ
Instagram: @artificialintelligence_ml
YouTube: https://www.youtube.com/channel/UClHa8jp3wofpqlJsTmuXurg
Telegram: https://t.me/Artificial_intelligence_AI
1. https://heartbeat.fritz.ai/3d-face-reconstruction-with-position-map-regression-networks-36f0ac2d3ef1
2. https://github.com/YadiraF/PRNet
Here You Go!!! ๐คฉ
All you need related to Machine Learning is here!!!
Grab it, Store it and share it!!!
Enjoy!!! โค๏ธ
Instagram: @artificialintelligence_ml
YouTube: https://www.youtube.com/channel/UClHa8jp3wofpqlJsTmuXurg
Telegram: https://t.me/Artificial_intelligence_AI
Fritz ai
3D Face Reconstruction with Position Map Regression Networks - Fritz ai
Position Map Regression Networks (PRN) is a method to jointly regress dense alignment and 3D face shape in an end-to-end manner. In this article, Iโll provide a short explanation and discuss its applications in computer vision. When I was aโฆ Continue readingโฆ
Learning to See Transparent Objects
ClearGrasp uses 3 neural networks: a network to estimate surface normals, one for occlusion boundaries (depth discontinuities), and one that masks transparent objects
Google research: https://ai.googleblog.com/2020/02/learning-to-see-transparent-objects.html
Code: https://github.com/Shreeyak/cleargrasp
Dataset: https://sites.google.com/view/transparent-objects
3D Shape Estimation of Transparent Objects for Manipulation: https://sites.google.com/view/cleargrasp
Here You Go!!! ๐คฉ
All you need related to Machine Learning is here!!!
Grab it, Store it and share it!!!
Enjoy!!! โค๏ธ
Instagram: @artificialintelligence_ml
YouTube: https://www.youtube.com/channel/UClHa8jp3wofpqlJsTmuXurg
Telegram: https://t.me/Artificial_intelligence_AI
ClearGrasp uses 3 neural networks: a network to estimate surface normals, one for occlusion boundaries (depth discontinuities), and one that masks transparent objects
Google research: https://ai.googleblog.com/2020/02/learning-to-see-transparent-objects.html
Code: https://github.com/Shreeyak/cleargrasp
Dataset: https://sites.google.com/view/transparent-objects
3D Shape Estimation of Transparent Objects for Manipulation: https://sites.google.com/view/cleargrasp
Here You Go!!! ๐คฉ
All you need related to Machine Learning is here!!!
Grab it, Store it and share it!!!
Enjoy!!! โค๏ธ
Instagram: @artificialintelligence_ml
YouTube: https://www.youtube.com/channel/UClHa8jp3wofpqlJsTmuXurg
Telegram: https://t.me/Artificial_intelligence_AI
Deep learning of dynamical attractors from time series measurements
Embed complex time series using autoencoders and a loss function based on penalizing false-nearest-neighbors.
Code: https://github.com/williamgilpin/fnn
Paper: https://arxiv.org/abs/2002.05909
Telegram
Here You Go!!! ๐คฉ
All you need related to Machine Learning is here!!!
Grab it, Store it and share it!!!
Enjoy!!! โค๏ธ
Instagram: @artificialintelligence_ml
YouTube: https://www.youtube.com/channel/UClHa8jp3wofpqlJsTmuXurg
Telegram: https://t.me/Artificial_intelligence_AI
Embed complex time series using autoencoders and a loss function based on penalizing false-nearest-neighbors.
Code: https://github.com/williamgilpin/fnn
Paper: https://arxiv.org/abs/2002.05909
Telegram
Here You Go!!! ๐คฉ
All you need related to Machine Learning is here!!!
Grab it, Store it and share it!!!
Enjoy!!! โค๏ธ
Instagram: @artificialintelligence_ml
YouTube: https://www.youtube.com/channel/UClHa8jp3wofpqlJsTmuXurg
Telegram: https://t.me/Artificial_intelligence_AI
GitHub
GitHub - williamgilpin/fnn: Embed strange attractors using a regularizer for autoencoders
Embed strange attractors using a regularizer for autoencoders - williamgilpin/fnn
New Video Uploaded !!!
Type of Machine Learning!!!
Chek out, like and Subscribe to our channel!!!
https://youtu.be/0ucFy25_YqU
Type of Machine Learning!!!
Chek out, like and Subscribe to our channel!!!
https://youtu.be/0ucFy25_YqU
YouTube
Types of Machine Learning? | #Supervised vs #Unsupervised vs #Reinforcement Learning | AI with AI
What are the types of Machine Learning?
#Supervised #Unsupervised #Reinforcement #MachineLearning
Comparison of Supervised vs Unsupervised vs Reinforcement learning, Weโll be discussing the types of machine learning and differentiate them based on a fewโฆ
#Supervised #Unsupervised #Reinforcement #MachineLearning
Comparison of Supervised vs Unsupervised vs Reinforcement learning, Weโll be discussing the types of machine learning and differentiate them based on a fewโฆ
Artificial Intelligence pinned ยซNew Video Uploaded !!! Type of Machine Learning!!! Chek out, like and Subscribe to our channel!!! https://youtu.be/0ucFy25_YqUยป
Hiring,
Cake PHP developer:-
Experience - 2-5 yrs
Salary- 3-6LPA
No.of positions- 3 (Noida), 2 (Karnal)
Immediate joiners only
Android Developer
Experience - 2-5 yrs
Salary - 3-6LPA
No.of positions- 3(Noida)
Immediate joiners only
Please drop ur profile at 6lakshmiganesh77@gmail.com...
Mention ur last ctc and expected ctc, notice period and which position u are looking for...
Cake PHP developer:-
Experience - 2-5 yrs
Salary- 3-6LPA
No.of positions- 3 (Noida), 2 (Karnal)
Immediate joiners only
Android Developer
Experience - 2-5 yrs
Salary - 3-6LPA
No.of positions- 3(Noida)
Immediate joiners only
Please drop ur profile at 6lakshmiganesh77@gmail.com...
Mention ur last ctc and expected ctc, notice period and which position u are looking for...