Download Udemy - Artificial Intelligence with Machine Learning, Deep Learning torrent

Udemy - Artificial Intelligence with Machine Learning, Deep Learning

Torrent:	Udemy - Artificial Intelligence with Machine Learning, Deep Learning
Description:	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.
Downloads:	121
Category:	Other /Tutorials
Size:	1.7 GB
Show Files »	[ TutGee.com ] Udemy - Artificial Intelligence with Machine Learning, Deep Learning Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1. Intro to Artificial Intelligence with Machine Learning and Deep Learning 1. What is Machine Learning.mp4 (26.9 MB) 1. What is Machine Learning.srt (4.9 KB) 2. Machine Learning Terminology.mp4 (16.3 MB) 2. Machine Learning Terminology.srt (3.2 KB) 3. FQA about Artificial intelligence Machine learning and deep learning.html (3.1 KB) 10. In Foreign Lands Data Science 1. What Is Data Science.mp4 (20.2 MB) 1. What Is Data Science.srt (6.8 KB) 2. Data literacy in Data Science.mp4 (9.7 MB) 2. Data literacy in Data Science.srt (3.4 KB) 11. Using Numpy for Data Manipulation 1. What is Numpy.mp4 (28.8 MB) 1. What is Numpy.srt (7.6 KB) 2. Why Numpy.mp4 (13.6 MB) 2. Why Numpy.srt (5.0 KB) 2. Evalution Metrics in Machine Learning 1. Classification vs Regression in Machine Learning.mp4 (20.3 MB) 1. Classification vs Regression in Machine Learning.srt (4.2 KB) 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) 3. Evaluating Performance Regression Error Metrics in Machine Learning.mp4 (39.0 MB) 3. Evaluating Performance Regression Error Metrics in Machine Learning.srt (9.6 KB) 4. Machine Learning With Python.mp4 (66.7 MB) 4. Machine Learning With Python.srt (15.3 KB) 3. Supervised Learning 1. Supervised Learning Overview.mp4 (59.3 MB) 1. Supervised Learning Overview.srt (14.1 KB) 4. Unsupervised Learning 1. Unsupervised Learning Overview.mp4 (25.4 MB) 1. Unsupervised Learning Overview.srt (3.9 KB) 5. Fundamentals of Machine Learning 1. AI, Machine Learning and Deep Learning.mp4 (16.2 MB) 1. AI, Machine Learning and Deep Learning.srt (5.6 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) 12. Bias Variance Trade off.srt (9.8 KB) 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 (27.0 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) 17. Gathering data.srt (5.8 KB) 18. Data pre-processing.mp4 (26.0 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. History of Machine Learning.mp4 (23.8 MB) 2. History of Machine Learning.srt (8.0 KB) 20. Training and testing the model.mp4 (83.7 MB) 20. Training and testing the model.srt (6.4 KB) 21. Evaluation.mp4 (24.4 MB) 21. Evaluation.srt (7.7 KB) 3. Turing Machine and Turing Test.mp4 (40.9 MB) 3. Turing Machine and Turing Test.srt (13.4 KB) 4. What is Deep Learning.mp4 (20.5 MB) 4. What is Deep Learning.srt (7.2 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) 6. Workflow of Machine Learning.srt (10.7 KB) 7. Machine Learning Methods.mp4 (45.6 MB) 7. Machine Learning Methods.srt (16.4 KB) 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) 6. Artificial Neural Network 1. What Is ANN.mp4 (23.0 MB) 1. What Is ANN.srt (8.2 KB) 2. Anatomy of Neural Network.mp4 (42.3 MB) 2. Anatomy of Neural Network.srt (10.4 KB) 3. Optimizers in Ai.mp4 (42.3 MB) 3. Optimizers in Ai.srt (12.0 KB) 4. What is TensorFlow.mp4 (62.6 MB) 4. What is TensorFlow.srt (20.5 KB) 7. Convolutional Neural Network 1. What is CNN.mp4 (72.4 MB) 1. What is CNN.srt (17.6 KB) 8. Recurrent Neural Network and LTSM 1. Understanding RNN and LSTM Networks.mp4 (50.8 MB) 1. Understanding RNN and LSTM Networks.srt (14.8 KB) 9. Transfer Learning 1. What is Transfer Learning.mp4 (85.3 MB) 1. What is Transfer Learning.srt (19.2 KB) Bonus Resources.txt (0.4 KB) files
Added:	2021-12-19 10:01:02
Language:	English
Peers:	Seeders : 6 , Leechers : 9
Tags:	Development Data Science Udemy
Release name:	Udemy - Artificial Intelligence with Machine Learning, Deep Learning
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