Artificial Intelligence Full Course

Machine Learning Engineer Masters Program (Use Code “𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎”): //www.edureka.co/masters-program/machine-learning-engineer-training This Edureka video on “Artificial Intelligence” will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples. Following topics are covered in this video: 00:00 Introduction 02:27 History Of AI 06:45 Demand For AI 08:46 What Is Artificial Intelligence? 09:50 AI Applications 16:49 Types Of AI 20:24 Programming Languages For AI 27:12 Introduction To Machine Learning 28:08 Need For Machine Learning 31:48 What Is Machine Learning? 34:13 Machine Learning Definitions 37:26 Machine Learning Process 49:13 Types Of Machine Learning 49:21 Supervised Learning 52:00 Unsupervised Learning 53:44 Reinforcement Learning 55:29 Supervised vs Unsupervised vs Reinforcement Learning 58:23 Types Of Problems Solved Using Machine Learning 1:04:49 Supervised Learning Algorithms 1:05:17 Linear Regression 1:11:20 Linear Regression Demo 1:26:36 Logistic Regression 1:35:36 Decision Tree 1:55:18 Random Forest 2:07:31 Naive Bayes 2:14:37 K Nearest Neighbour (KNN) 2:20:31 Support Vector Machine (SVM) 2:26:40 Demo (Classification Algorithms) 2:42:36 Unsupervised Learning Algorithms 2:42:45 K-means Clustering 2:50:49 Demo (Unsupervised Learning) 2:56:40 Reinforcement Learning 3:24:36 Demo (Reinforcement Learning) 3:31:41 AI vs Machine Learning vs Deep Learning 3:33:08 Limitations Of Machine Learning 3:36:32 Introduction To Deep Learning 3:38:36 How Deep Learning Works? 3:40:48 What Is Deep Learning? 3:41:50 Deep Learning Use Case 3:43:14 Single Layer Perceptron 3:50:56 Multi Layer Perceptron (ANN) 3:52:55 Backpropagation 3:54:39 Training A Neural Network 4:01:02 Limitations Of Feed Forward Network 4:03:18 Recurrent Neural Networks 4:05:36 Convolutional Neural Networks 4:09:00 Demo (Deep Learning) 4:29:02 Natural Language Processing 4:30:53 What Is Text Mining? 4:32:43 What Is NLP? 4:33:26 Applications Of NLP 4:35:53 Terminologies In NLP 4:41:19 NLP Demo 4:47:21 Machine Learning Masters Program Python Full Course: //www.youtube.com/watch?v=WGJJIrtnfpk Statistics and Probability Tutorial: //www.youtube.com/watch?v=XcLO4f1i4Yo ———-𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠𝐬———– Python Programming Certification: //bit.ly/37rEsnA Python Certification Training for Data Science: //bit.ly/2Gj6fux ———-𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦———- Data Scientist Masters Program: //bit.ly/2t1snGM Machine Learning Engineer Masters Program: //bit.ly/3Hi1sXN ———–𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦———- Post Graduate Diploma in Artificial Intelligence Course offered by E&ICT Academy NIT Warangal: //bit.ly/3qdRRdw 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 ⏩ NEW Top 10 Technologies To Learn In 2023 – //youtu.be/udD_GQVDt5g Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: //goo.gl/6ohpTV Check out the entire Machine Learning Playlist: //bit.ly/2NG9tK4 Check out the entire Machine Learning Blog list: //bit.ly/2V2MnDW #edureka #artificialIntelligence #artificialIntelligenceTutorial #artificialIntelligenceFullCourse #artificialIntelligenceEngineer 𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: //t.me/edurekaupdates 𝐓𝐰𝐢𝐭𝐭𝐞𝐫: //twitter.com/edurekain 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: //www.linkedin.com/company/edureka 𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: //www.instagram.com/edureka_learning/ 𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: //www.facebook.com/edurekaIN/ 𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: //www.slideshare.net/EdurekaIN 𝐂𝐚𝐬𝐭𝐛𝐨𝐱: //castbox.fm/networks/505?country=IN 𝐌𝐞𝐞𝐭𝐮𝐩: //www.meetup.com/edureka/ 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: //www.edureka.co/community/ ————————————- About the Masters Program Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning. The Master’s Program Covers Topics LIke: Python Programming PySpark HDFS Spark SQL Machine Learning Techniques and Artificial Intelligence Types Tokenization Named Entity Recognition Lemmatization Supervised Algorithms Unsupervised Algorithms Tensor Flow Deep learning Keras Neural Networks Bayesian and Markov’s Models Inference Decision Making Bandit Algorithms Bellman Equation Policy Gradient Methods. ———————- Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information

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