Artificial Intelligence && Deep Learning
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Channel for who have a passion for -
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers

With advertising offers contact: @ai_adminn
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Papers and code:

AI section of Arxiv.org is useful if you are looking for the latest research papers.

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.https://arxiv.org/list/cs.AI/recent
"BEST BOOKS TO LEARN PYTHON FROM BASICS TO ADVANCED "

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.https://kluece.ml/python.html
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A new CycleGan tutorial is ready in @TensorFlow 2.0. A very cool paper, showing how to create beautiful image transformations like:

- Horses -> zebras
- Winter -> summer
- Apples -> oranges

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@DeepLearning_AI

.https://t.co/JlDUkuuqIA
A new CycleGan tutorial is ready in @TensorFlow 2.0. A very cool paper, showing how to create beautiful image transformations like:

- Horses -> zebras
- Winter -> summer
- Apples -> oranges

JoinπŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
@DeepLearning_AI

.https://t.co/JlDUkuuqIA
List of Top blogs/Newsletter on Artificial Intelligence

Here are 15 machine learning, artificial intelligence, and deep learning blogs you should add to your reading lists

1. Machine Learning Mastery by Jason Brownlee
https://machinelearningmastery.com/about/

2. AI Trends
https://www.aitrends.com/

3. Algorithmia
https://blog.algorithmia.com/

4. AITopics (An official publication of the AAAI.)
https://aitopics.org/search

5. Open AI
https://openai.com/

6. MIT AI Blog
http://news.mit.edu/topic/artificial-intelligence2

7. DataRobot Blog 
https://blog.datarobot.com/

8. Andreessen Horowitz
http://aiplaybook.a16z.com/docs/intro/getting-started

9. Chatbots Magazine (The #1 place to learn about chatbots.)
https://chatbotsmagazine.com/

10. Machine Intelligence Research Institute (MIRI) 
https://intelligence.org/blog/

11. Chatbots Life
(Best Place to Learn About Bots)
https://chatbotslife.com/

12. 33 rd square
https://www.33rdsquare.com/

13. Artificial Intelligence Blogs
https://www.artificial-intelligence.blog/news/

14. Machine Learnings
https://machinelearnings.co/

15. C T Vision
https://ctovision.com/

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About Applied Machine Learning - Beginner to Professional Course

Course Curriculm

1. Welcome to the Applied Machine Learning Course
2. Introduction to Data Science and Machine Learning
3. Introduction to the Course
4. Setting up your system
5. Python for Data Science
6. Statistics For Data Science
7. Basics Steps of Machine Learning and EDA
8. Data Manipulation and Visualization
9. Project: EDA - Customer Churn Analysis
10. Share your Learnings
11. Build Your First Predictive Model
12. Evaluation Metrics
13. Build Your First ML Model: k-NN
14. Selecting the Right Model
15. Linear Models
16. Project: Customer Churn Prediction
17. Dimensionality Reduction (Part I)
18. Decision Tree
19. Feature Engineering
20. Share your Learnings
21. Project: NYC Taxi Trip Duration prediction
22. Working with Text Data
23. NaΓ―ve Bayes
24. Multiclass and Multilabel
25. Project: Web Page Classification
26. Basics of Ensemble Techniques
27. Advance Ensemble Techniques
28. Project: Ensemble Model on NYC Taxi Trip Duration Prediction
29. Share your Learnings
30. Advance Dimensionality Reduction
31. Support Vector Machine
32. Unsupervised Machine Learning Methods
33 AutoML and Dask
34. Neural Network
35. Model Deployment
36. Interpretability of Machine Learning Models

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.https://courses.analyticsvidhya.com/courses/applied-machine-learning-beginner-to-professional?utm_source=sendinblue&utm_campaign=July_Newsletter_2019&utm_medium=email