| 1. AI, Machine Learning and Deep Learning.mp4 | 16.2 MB | ||
| 1. AI, Machine Learning and Deep Learning.srt | 5.6 KB | ||
| 1. Classification vs Regression in Machine Learning.mp4 | 20.3 MB | ||
| 1. Classification vs Regression in Machine Learning.srt | 4.2 KB | ||
| 1. Supervised Learning Overview.mp4 | 59.3 MB | ||
| 1. Supervised Learning Overview.srt | 14.1 KB | ||
| 1. Understanding RNN and LSTM Networks.mp4 | 50.8 MB | ||
| 1. Understanding RNN and LSTM Networks.srt | 14.8 KB | ||
| 1. Unsupervised Learning Overview.mp4 | 25.4 MB | ||
| 1. Unsupervised Learning Overview.srt | 3.9 KB | ||
| 1. What Is ANN.mp4 | 23 MB | ||
| 1. What Is ANN.srt | 8.2 KB | ||
| 1. What Is Data Science.mp4 | 20.2 MB | ||
| 1. What Is Data Science.srt | 6.8 KB | ||
| 1. What is CNN.mp4 | 72.4 MB | ||
| 1. What is CNN.srt | 17.6 KB | ||
| 1. What is Machine Learning.mp4 | 26.9 MB | ||
| 1. What is Machine Learning.srt | 4.9 KB | ||
| 1. What is Numpy.mp4 | 28.8 MB | ||
| 1. What is Numpy.srt | 7.6 KB | ||
| 1. What is Transfer Learning.mp4 | 85.3 MB | ||
| 1. What is Transfer Learning.srt | 19.2 KB | ||
| 10. Supervised Machine Learning Methods - 3.mp4 | 56.1 MB | ||
| 10. Supervised Machine Learning Methods - 3.srt | 15.9 KB | ||
| 11. Supervised Machine Learning Methods - 4.mp4 | 70.3 MB | ||
| 11. Supervised Machine Learning Methods - 4.srt | 19.2 KB | ||
| 12. Bias Variance Trade off.mp4 | 48.7 MB | ||
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| 13. K Nearest Neighbors Algorithm.mp4 | 36.8 MB | ||
| 13. K Nearest Neighbors Algorithm.srt | 7.9 KB | ||
| 14. Unsupervised Machine Learning Methods.mp4 | 87.9 MB | ||
| 14. Unsupervised Machine Learning Methods.srt | 27 KB | ||
| 15. Principal Component Analysis.mp4 | 27.2 MB | ||
| 15. Principal Component Analysis.srt | 4.8 KB | ||
| 16. Recommended System Algorithm.mp4 | 38.1 MB | ||
| 16. Recommended System Algorithm.srt | 6.8 KB | ||
| 17. Gathering data.mp4 | 17.6 MB | ||
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| 18. Data pre-processing.mp4 | 26 MB | ||
| 18. Data pre-processing.srt | 6.3 KB | ||
| 19. Choosing the right algorithm and model.mp4 | 148.5 MB | ||
| 19. Choosing the right algorithm and model.srt | 9.1 KB | ||
| 2. Anatomy of Neural Network.mp4 | 42.3 MB | ||
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| 2. Data literacy in Data Science.mp4 | 9.7 MB | ||
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| 2. Evaluating Performance Classification Error Metrics in Machine Learning.mp4 | 112.1 MB | ||
| 2. Evaluating Performance Classification Error Metrics in Machine Learning.srt | 23.4 KB | ||
| 2. History of Machine Learning.mp4 | 23.8 MB | ||
| 2. History of Machine Learning.srt | 8 KB | ||
| 2. Machine Learning Terminology.mp4 | 16.3 MB | ||
| 2. Machine Learning Terminology.srt | 3.2 KB | ||
| 2. Why Numpy.mp4 | 13.6 MB | ||
| 2. Why Numpy.srt | 5 KB | ||
| 20. Training and testing the model.mp4 | 83.7 MB | ||
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| 21. Evaluation.mp4 | 24.4 MB | ||
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| 3. Evaluating Performance Regression Error Metrics in Machine Learning.mp4 | 39 MB | ||
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| 3. FQA about Artificial intelligence Machine learning and deep learning.html | 3.1 KB | ||
| 3. Optimizers in Ai.mp4 | 42.3 MB | ||
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| 3. Turing Machine and Turing Test.mp4 | 40.9 MB | ||
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| 4. Machine Learning With Python.mp4 | 66.7 MB | ||
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| 4. What is Deep Learning.mp4 | 20.5 MB | ||
| 4. What is Deep Learning.srt | 7.2 KB | ||
| 4. What is TensorFlow.mp4 | 62.6 MB | ||
| 4. What is TensorFlow.srt | 20.5 KB | ||
| 5. Learning Representations From Data.mp4 | 34.9 MB | ||
| 5. Learning Representations From Data.srt | 13.6 KB | ||
| 6. Workflow of Machine Learning.mp4 | 31.7 MB | ||
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| 7. Machine Learning Methods.mp4 | 45.6 MB | ||
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| 8. Supervised Machine Learning Methods - 1.mp4 | 30.9 MB | ||
| 8. Supervised Machine Learning Methods - 1.srt | 10.6 KB | ||
| 9. Supervised Machine Learning Methods - 2.mp4 | 55.4 MB | ||
| 9. Supervised Machine Learning Methods - 2.srt | 15.7 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 83 total files | |||
Artificial Intelligence with Machine Learning, Deep Learning
https://TutGee.com
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 41 lectures (6h 15m) | Size: 1.53 GB
Artificial Intelligence (AI) with Python Machine Learning and Python Deep Learning, Transfer Learning, Tensorflow
What you'll learn:
Machine learning isn’t just useful for predictive texting or smartphone voice recognition.
Learn Artificial intelligence with Machine Learning and deep learning with Hands-On Examples
Machine Learning Terminology, machine learning a-z
What is Machine Learning?
Evaluation Metrics for Python machine learning, Python Deep learning
Supervised Learning and unsupervised learning, transfer learning, ai, artificial intelligence programming
Machine Learning with SciKit Learn
Python, python machine learning and deep learning
Machine Learning, machine learning A-Z
Deep Learning, Deep learning a-z
Machine learning is constantly being applied to new industries and new problems. Whether you’re a marketer, video game designer, or programmer
Machine learning describes systems that make predictions using a model trained on real-world data.
Machine learning is being applied to virtually every field today. That includes medical diagnoses, facial recognition, weather forecasts, image processing
It's possible to use machine learning without coding, but building new systems generally requires code.
What is the best language for machine learning? Python is the most used language in machine learning.
Engineers writing machine learning systems often use Jupyter Notebooks and Python together.
Machine learning is generally divided between supervised machine learning and unsupervised machine learning.
Python instructors on Udemy specialize in everything from software development to data analysis, and are known for their effective, friendly instruction
What are the limitations of Python? Python is a widely used, general-purpose programming language, but it has some limitations.
How is Python used? Python is a general programming language used widely across many industries and platforms.
How is Python used? Python is a general programming language used widely across many industries and platforms.
How do I learn Python on my own? Python has a simple syntax that makes it an excellent programming language for a beginner to learn.
Requirements
Determination to learn artificial intelligence and patience
Desire to master on python, machine learning a-z, deep learning a-z
Motivation to learn the the second largest number of job postings relative program language among all others
Learn to create Machine Learning and Deep Algorithms in Python Code templates included.
Desire to learn artificial intelligence, deep learning, machine learning methods, supervised learning
Desire to learn history of machine learning, ai, artificial learning
Desire to learn fundamentals of machine learning, deep learning, artificial intelligence, ai, tensorflow
Description
Hello there,
Welcome to the “Artificial Intelligence with Machine Learning, Deep Learning ” course.
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 1.8 GB | freecoursewb | 4 weeks | 11 | 5 | |
| 1.8 GB | freecoursewb | 2 months | 13 | 11 | |
| 2 GB | freecoursewb | 2 months | 27 | 34 | |
| 1.9 GB | freecoursewb | 3 months | 5 | 3 | |
| 2 GB | freecoursewb | 4 months | 15 | 8 |
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