Artificial Neural Networks (ANN) with Keras in Python and R

Rating ⭐️: 4.5 out of 5
Duration ⏰: 11 hours on-demand video
Students πŸ‘¨β€πŸ«: 150,528
Created by: Start-Tech Academy

πŸ”— Course link

Linear Regression and Logistic Regression in Python

Rating ⭐️: 4.6 out of 5
Duration ⏰: 7.5 hours on-demand video
Students πŸ‘¨β€πŸ«: 50,422
Created by: Start-Tech Academy

πŸ”— Course link

Support Vector Machines in Python: SVM Concepts & Code

Rating ⭐️: 4.7 out of 5
Duration ⏰: 6 hours on-demand video
Students πŸ‘¨β€πŸ«: 80,685
Created by: Start-Tech Academy

πŸ”— Course link

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Image Recognition for Beginners using CNN in R Studio

Rating ⭐️: 4.3 out of 5
Duration ⏰: 11 hours on-demand video
Students πŸ‘¨β€πŸ«: 76,420
Created by: Start-Tech Academy

What you will learn:
⭐️Get a solid understanding of Convolutional Neural Networks (CNN) and Deep Learning
⭐️Build an end-to-end Image recognition project in R
⭐️Learn usage of Keras and Tensorflow libraries
⭐️Use Artificial Neural Networks (ANN) to make predictions


πŸ”— Course link

Note: Free coupon is inserted in URL. Courses are FREE FOR FIRST 1000 enrollments

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ARTIFICIAL INTELLIGENCE FOR BEGINNERS
Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about Artificial Intelligence.

In this curriculum, you will learn:

⭐️Different approaches to Artificial Intelligence, including the "good old" symbolic approach with Knowledge Representation and reasoning (GOFAI).

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⭐️Neural Architectures for working with images and text. It covers recent models but may lack a little bit on the state-of-the-art.

⭐️Less popular AI approaches, such as Genetic Algorithms and Multi-Agent Systems.

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Machine Learning Engineer Learning Path
Course Link
Hey there!!
Check out this Machine Learning Course from Google.
Here's what you can learn from it.
πŸ‘ŒA Tour of Google Cloud Hands-on Labs
πŸ‘ŒGoogle Cloud Big Data and Machine Learning Fundamentals
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πŸ‘ŒTensorFlow on Google Cloud
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πŸ˜ƒAnd a lot of interesting machine learning topics
Course Link

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FREE UDEMY COURSES

Complete Linear Regression Analysis in Python

Rating
⭐️: 4.5 out of 5
Duration ⏰: 7.5 hours on-demand video
Students πŸ‘¨β€πŸ«: 150,747
Created by: Star Tech Academy

πŸ”— Course link

Data Analytics A-Z with Python

Rating
⭐️: 4.1 out of 5
Duration ⏰: 4 hours on-demand video
Students πŸ‘¨β€πŸ«: 56,145
Created by: Yaswanth Sai Palaghat

πŸ”— Course link

Object Detection Web App with TensorFlow, OpenCV and Flask

Rating
⭐️: 4.6 out of 5
Duration ⏰: 1 hour on-demand video
Students πŸ‘¨β€πŸ«: 32,020
Created by: Yaswanth Sai Palaghat

πŸ”— Course link

Logistic Regression in R Studio

Rating
⭐️: 4.6 out of 5
Duration ⏰: 6 hours on-demand video
Students πŸ‘¨β€πŸ«: 82,771
Created by: Star Tech Academy

πŸ”— Course link

Logistic Regression in Python

Rating
⭐️: 4.3 out of 5
Duration ⏰: 7.5hours on-demand video
Students πŸ‘¨β€πŸ«: 95,949
Created by: Star Tech Academy

πŸ”— Course link

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FREE UDEMY COURSES

Artificial Neural Networks (ANN) with Keras in Python and R

Rating
⭐️: 4.3 out of 5
Duration ⏰: 11 hours on-demand video
Students πŸ‘¨β€πŸ«: 153,510
Created by: Star Tech Academy

πŸ”— Course link

Marketing Analytics: Forecasting Models with Excel

Rating
⭐️: 4.5 out of 5
Duration ⏰: 7 hours on-demand video
Students πŸ‘¨β€πŸ«: 134, 539
Created by: Star Tech Academy

πŸ”— Course link

Decision Trees, Random Forests, Bagging & XGBoost: R Studio

Rating
⭐️: 4.6 out of 5
Duration ⏰: 6 hours on-demand video
Students πŸ‘¨β€πŸ«: 60,768
Created by: Star Tech Academy

πŸ”— Course link

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FREE DATA SCIENCE, MACHINE LEARNING AND DEEP LEARNING COURSES WITH CERTIFICATES

1) Data Science 101
Rating
⭐️: 5.6k+
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TENSORFLOW FREE LEARNING RESOURCES

1) Hello, TensorFlow!
Building and training your first TensorFlow graph from the ground up.
COURSE LINK: Click Me
Source: O reily

2
) Intro to TensorFlow for Deep Learning
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Learn PyTorch for Deep Learning

Pytorch is a popular framework for doing Machine Learning in Python. You can use it to build data models, then ask questions of those models. If you're interested in Data Science, and know a bit of Python, this course is a solid place to start your journey. You'll code along at home as you learn about Datasets, Neural Networks, Computer Vision, and more.

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Fast.AI Practical Deep Learning Course!!!
This super amazing😱 free course😍 is designed for people with some coding experience who want to learn how to apply deep learning and machine learning to practical problems🀩.

Here's what you will be learning from this courseπŸ˜‰:
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πŸ˜‡Use PyTorch, the world’s fastest growing deep learning software, plus popular libraries like fastai and Hugging Face

Course Link

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Introduction to Neural Networks and Deep Learning Course

Expand your knowledge and skills in Neural Networks and Deep Learning with this online free course. Build and train deep neural networks for industry-related problems using key calculations that underlie deep learning

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Udacity Artificial Intelligence Course

Here's an interesting course where you’ll learn the basics and applications of AI, including: machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing.

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Introduction to Tensorflow and Keras

Enroll in this TensorFlow and Keras course to gain in-depth knowledge of TensorFlow, Keras, Neural Networks, and CNN. Learn to solve Deep Learning problems through sample demonstrations.

Course Link

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500+ AI, Machine learning, Deep learning ,Computer vision, NLP Projects with code

Creator
: ashishpatel26
Stars ⭐️: 10.7K
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DIVE INTO DEEP LEARNING ||d2l.ai

Here's an Interactive deep learning book with code, math, and discussions.

Implemented with PyTorch, NumPy/MXNet, and TensorFlow.

Book Link : https://d2l.ai/

GitHub Repo: https://github.com/d2l-ai/d2l-en

Stars: 15.7K

Forks:3.4K

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Binary Classification: A Deep Learning Approach

Unlock the power to predict the future with binary classification. This tutorial will guide you through the process of distinguishing between two outcomes using Deep Learning.

Click Me

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Data Science Interview Resource

Looking to ace that Data Science Interview?

This resource got you covered πŸ‘Œ

It covers a wide range of topics from machine learning and deep learning to probability and statistics , python and SQL .

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⭐️ 15 Best Machine Learning Cheat Sheet ⭐️

1- Supervised
Learning

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-supervised-learning.pdf

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https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-unsupervised-learning.pdf

3- Deep Learning

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-deep-learning.pdf

4- Machine Learning Tips and Tricks

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-machine-learning-tips-and-tricks.pdf

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https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-probabilities-statistics.pdf

6- Comprehensive Stanford Master Cheat Sheet

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/super-cheatsheet-machine-learning.pdf

7- Linear Algebra and Calculus

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-algebra-calculus.pdf

8- Data Science Cheat Sheet

https://s3.amazonaws.com/assets.datacamp.com/blog_assets/PythonForDataScience.pdf

9- Keras Cheat Sheet

https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Keras_Cheat_Sheet_Python.pdf

10- Deep Learning with Keras Cheat Sheet

https://github.com/rstudio/cheatsheets/raw/master/keras.pdf

11- Visual Guide to Neural Network Infrastructures

http://www.asimovinstitute.org/wp-content/uploads/2016/09/neuralnetworks.png

12- Skicit-Learn Python Cheat Sheet

https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf

13- Scikit-learn Cheat Sheet: Choosing the Right Estimator

https://scikit-learn.org/stable/tutorial/machine_learning_map/

14- Tensorflow Cheat Sheet

https://github.com/kailashahirwar/cheatsheets-ai/blob/master/PDFs/Tensorflow.pdf

15- Machine Learning Test Cheat Sheet

https://www.cheatography.com/lulu-0012/cheat-sheets/test-ml/pdf/

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1000 Data Science Projects
you can run on the browser with IPython.

Explore from 1000+ ready code templates to kickstart your AI projects
⭐️Classification
⭐️Regression
⭐️Clustering

πŸ”— Source link

#ai #ml #data_science #deep_learning
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Accelerating Deep Learning with GPUs (Login Required)

Training complex deep learning models with large datasets takes along time. In this course, you will learn how to use accelerated GPU hardware to overcome the scalability problem in deep learning.
You can use accelerated hardware such as Google’s Tensor Processing Unit (TPU) or Nvidia GPU to accelerate your convolutional neural network computations time on the Cloud. These chips are specifically designed to support the training of neural networks, as well as the use of trained networks (inference). Accelerated hardware has recently been proven to significantly reduce training time.

πŸ†“ Free Online Course
Rating⭐️: 4.7 out 5
🎬 video lesson
πŸƒβ€β™‚οΈ Self paced
Duration ⏰: More than 7 hours worth of material
Source: cognitiveclass
πŸ”— Course Link


#deep_Learning
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