🔥Professional Certificate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=11Apr2023MachineLearningFullCourse2023&utm_medium=DescriptionFirstFold&utm_source=youtube

🔥Artificial Intelligence Engineer Program (Discount Coupon: YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=11Apr2023MachineLearningFullCourse2023&utm_medium=DescriptionFirstFold&utm_source=youtube

In this "Machine Learning Full Course 2023" video by Simplilearn, We will begin with the fundamentals of machine learning and walk you through the advanced machine learning concepts and algorithms used in the process. we'll cover some of the essential topics like linear vs logistic regression. This "Machine Learning Course for Beginners" will give you a practical explanation of statistics and probability. At the end of this video, we will be discussing the essential interview questions and answers of machine learning to help every individual crack an interview.

In this "Machine Learning Full Course 2023", we will cover the following topics:

✅00:00- Machine Learning Full Course 2023
✅02:02- Introduction to Machine Learning
✅09:36- What is Machine Learning
✅30:04- Types of Machine Learning
✅40:51- Data and its Types
✅1:34:56- Demo on Statistic
✅2:04:56- Demo on Probability
✅2:18:10- What is Deep Learning
✅3:32:37- Linear vs. Logistic regression
✅3:58:34- What is a Confusion Matrix
✅4:16:50- Demo on Heart Attack Prediction
✅6:05:17- What is Naive Bayes
✅6:47:04- K-means Clustering
✅8:14:21- Regression Algorithm
✅8:40:22- Top 10 Applications of Machine Learning
✅8:45:11- Fake News Detection
✅9:28:26- What is OpenCV
✅10:21:56- Machine Learning Interview Questions

🔥 Explore Free Courses by Simplilearn: https://www.simplilearn.com/learn-ai-basics-skillup?tag=artifical%20intelligence?utm_campaign=11Apr2023MachineLearningFullCourse2023&utm_medium=Description&utm_source=youtube

⏩ Check out the Full Stack tutorial videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULyr_

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

#MachineLearningFullCourse #MachineLearning #ML #MachineLearningCourseForBeginners #MLFullCourse #MLCourse #MachineLearning forBeginners #MLAlgorithms #AIAndMLAlgorithms #Simplilearn

-The term machine learning (ML) is everywhere these days. From self-driving cars to voice recognition software and robotic activities. The study of machine learning (ML) focuses on software that can learn from examples.

-The growth in technology has led to increasing demand for professionals who can understand and use the vast amount of data every day. Companies like Facebook, Google, Tesla, and many more are constantly hiring machine learning professionals with Salaries going as high as $250,00.

✅ About Professional Certificate Program In AI And Machine Learning

Professionals with programming experience can benefit from this AI ML Certification Course, covering Statistics, ML, neural networks, Natural Language Processing, and Reinforcement Learning. This AI ML Course is offered using our interactive learning methodology, including live sessions from international professionals, laboratories, and industrial projects.

✅ Key Features

-Joint certificate from Purdue University and Simplilearn
-Eligible for Purdue Alumni Association Membership
-Industry-recognized IBM certificates for IBM courses
-Capstone project in 3 Domains
-25+ hands on projects on integrated labs
-8X higher live interaction with live online classes by industry experts

✅Skills covered

-Statistics
-Python
-Supervised Learning
-Unsupervised Learning
-NLP
-Neural Networks
-Computer Vision
-GANs
-Keras
-Tensorflow
-Reinforcement Learning
-Speech Recognition
-Recommendation Systems
-Ensemble Learning
-NumPy

✅Tools Covered

-Python
-Tensorflow
-Keras
-NLKT
-ScikitLearn
-MatPlotlib
-Open AI Gym
-Amazon Sagemaker
-Kubernetes
-Alexa
-Django
-Flask

✅ Enroll Now: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=11Apr2023MachineLearningFullCourse2023&utm_medium=Description&utm_source=youtube

🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688

✅ Simplilearn Success Stories: https://www.simplilearn.com/reviews?utm_campaign=11Apr2023MachineLearningFullCourse2023&utm_medium=Description&utm_source=youtube

For more information about Simplilearn’s courses, visit:
- Facebook: https://www.facebook.com/Simplilearn
- Twitter: https://twitter.com/simplilearn
- LinkedIn: https://www.linkedin.com/company/simplilearn/
- Website: https://www.simplilearn.com
- Instagram: https://www.instagram.com/simplilearn_elearning
- Telegram Mobile: https://t.me/simplilearnupdates
- Telegram Desktop: https://web.telegram.org/#/im?....p=@simplilearnupdate

Get the Simplilearn app: https://simpli.app.link/OlbFAhqMqgb

Learn the basics of computer vision with deep learning and how to implement the algorithms using Tensorflow.

Author: Folefac Martins from Neuralearn.ai
More Courses: www.neuralearn.ai
Link to Code: https://colab.research.google.....com/drive/18u1KDx-96
YouTube Channel: https://www.youtube.com/@neuralearn

⭐️ Contents ⭐️

Introduction
⌨️ (0:00:00) Welcome
⌨️ (0:05:54) Prerequisite
⌨️ (0:06:11) What we shall Learn

Tensors and Variables
⌨️ (0:12:12) Basics
⌨️ (0:19:26) Initialization and Casting
⌨️ (1:07:31) Indexing
⌨️ (1:16:15) Maths Operations
⌨️ (1:55:02) Linear Algebra Operations
⌨️ (2:56:21) Common TensorFlow Functions
⌨️ (3:50:15) Ragged Tensors
⌨️ (4:01:41) Sparse Tensors
⌨️ (4:04:23) String Tensors
⌨️ (4:07:45) Variables

Building Neural Networks with TensorFlow [Car Price Prediction]
⌨️ (4:14:52) Task Understanding
⌨️ (4:19:47) Data Preparation
⌨️ (4:54:47) Linear Regression Model
⌨️ (5:10:18) Error Sanctioning
⌨️ (5:24:53) Training and Optimization
⌨️ (5:41:22) Performance Measurement
⌨️ (5:44:18) Validation and Testing
⌨️ (6:04:30) Corrective Measures

Building Convolutional Neural Networks with TensorFlow [Malaria Diagnosis]
⌨️ (6:28:50) Task Understanding
⌨️ (6:37:40) Data Preparation
⌨️ (6:57:40) Data Visualization
⌨️ (7:00:20) Data Processing
⌨️ (7:08:50) How and Why ConvNets Work
⌨️ (7:56:15) Building Convnets with TensorFlow
⌨️ (8:02:39) Binary Crossentropy Loss
⌨️ (8:10:15) Training Convnets
⌨️ (8:23:33) Model Evaluation and Testing
⌨️ (8:29:15) Loading and Saving Models to Google Drive

Building More Advanced Models in Teno Convolutional Neural Networks with TensorFlow [Malaria Diagnosis]
⌨️ (8:47:10) Functional API
⌨️ (9:03:48) Model Subclassing
⌨️ (9:19:05) Custom Layers

Evaluating Classification Models [Malaria Diagnosis]
⌨️ (9:36:45) Precision, Recall and Accuracy
⌨️ (10:00:35) Confusion Matrix
⌨️ (10:10:10) ROC Plots

Improving Model Performance [Malaria Diagnosis]
⌨️ (10:18:10) TensorFlow Callbacks
⌨️ (10:43:55) Learning Rate Scheduling
⌨️ (11:01:25) Model Checkpointing
⌨️ (11:09:25) Mitigating Overfitting and Underfitting

Data Augmentation [Malaria Diagnosis]
⌨️ (11:38:50) Augmentation with tf.image and Keras Layers
⌨️ (12:38:00) Mixup Augmentation
⌨️ (12:56:35) Cutmix Augmentation
⌨️ (13:38:30) Data Augmentation with Albumentations

Advanced TensorFlow Topics [Malaria Diagnosis]
⌨️ (13:58:35) Custom Loss and Metrics
⌨️ (14:18:30) Eager and Graph Modes
⌨️ (14:31:23) Custom Training Loops

Tensorboard Integration [Malaria Diagnosis]
⌨️ (14:57:00) Data Logging
⌨️ (15:29:00) View Model Graphs
⌨️ (15:31:45) Hyperparameter Tuning
⌨️ (15:52:40) Profiling and Visualizations

MLOps with Weights and Biases [Malaria Diagnosis]
⌨️ (16:00:35) Experiment Tracking
⌨️ (16:55:02) Hyperparameter Tuning
⌨️ (17:17:15) Dataset Versioning
⌨️ (18:00:23) Model Versioning

Human Emotions Detection
⌨️ (18:16:55) Data Preparation
⌨️ (18:45:38) Modeling and Training
⌨️ (19:36:42) Data Augmentation
⌨️ (19:54:30) TensorFlow Records

Modern Convolutional Neural Networks [Human Emotions Detection]
⌨️ (20:31:25) AlexNet
⌨️ (20:48:35) VGGNet
⌨️ (20:59:50) ResNet
⌨️ (21:34:07) Coding ResNet from Scratch
⌨️ (21:56:17) MobileNet
⌨️ (22:20:43) EfficientNet

Transfer Learning [Human Emotions Detection]
⌨️ (22:38:15) Feature Extraction
⌨️ (23:02:25) Finetuning

Understanding the Blackbox [Human Emotions Detection]
⌨️ (23:15:33) Visualizing Intermediate Layers
⌨️ (23:36:20) Gradcam method

Transformers in Vision [Human Emotions Detection]
⌨️ (23:57:35) Understanding ViTs
⌨️ (24:51:17) Building ViTs from Scratch
⌨️ (25:42:39) FineTuning Huggingface ViT
⌨️ (26:05:52) Model Evaluation with Wandb

Model Deployment [Human Emotions Detection]
⌨️ (26:27:13) Converting TensorFlow Model to Onnx format
⌨️ (26:52:26) Understanding Quantization
⌨️ (27:13:08) Practical Quantization of Onnx Model
⌨️ (27:22:01) Quantization Aware Training
⌨️ (27:39:55) Conversion to TensorFlow Lite
⌨️ (27:58:28) How APIs work
⌨️ (28:18:28) Building an API with FastAPI
⌨️ (29:39:10) Deploying API to the Cloud
⌨️ (29:51:35) Load Testing with Locust

Object Detection with YOLO
⌨️ (30:05:29) Introduction to Object Detection
⌨️ (30:11:39) Understanding YOLO Algorithm
⌨️ (31:15:17) Dataset Preparation
⌨️ (31:58:27) YOLO Loss
⌨️ (33:02:58) Data Augmentation
⌨️ (33:27:33) Testing

Image Generation
⌨️ (33:59:28) Introduction to Image Generation
⌨️ (34:03:18) Understanding Variational Autoencoders
⌨️ (34:20:46) VAE Training and Digit Generation
⌨️ (35:06:05) Latent Space Visualization
⌨️ (35:21:36) How GANs work
⌨️ (35:43:30) The GAN Loss
⌨️ (36:01:38) Improving GAN Training
⌨️ (36:25:02) Face Generation with GANs

Conclusion
⌨️ (37:15:45) What's Next

What’s up gadget-heads and welcome to another episode of TechJoint! Today, we’re bringing you the 10 TERRIFYING Military Robots That Really Exist! For the most part, robots exist to do good things. We’ve built them to vacuum our floors, work on assembly lines and even play fetch with our dogs. But because the military has always been at the cutting edge of technology, it should come as no surprise that some of the most advanced robots in the world are being built with military applications in mind. From tiny spy robots to pure death machines, let’s look at some of these most terrifying military robots. Before we begin, make sure you hit that subscribe button and turn on notifications so you never miss out on the latest and greatest tech.

► Subscribe For More! https://goo.gl/FQqpG8


► Disclaimer: This video description contains affiliate links. Meaning, if you click on one of the product links and make a purchase, we receive a small commission. This helps us keep making more videos.Thank you for your support!

For Copyright Issues, Please Contact tech5svideos@gmail.com

Come join us in this Live Q/A where our guest is Miguel Otero Pedrido, the creator of Neural Maze!
Feel free to post your questions beforehand or ask them live!

MIT 14.02 Principles of Macroeconomics, Spring 2023
Instructor: Ricardo J. Caballero

View the complete course: https://ocw.mit.edu/courses/14....-02-principles-of-ma
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

In this lecture, Prof. Caballero discusses basic macroeconomic concepts such as aggregate output, the unemployment rate, and the inflation rate.


License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ

We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

🔥PGP in Generative AI and ML in collaboration with Illinois Tech: https://www.edureka.co/executi....ve-programs/pgp-gene
🔥Integrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-ce....rtification-programs
This is the ultimate AI full course for absolute beginners who want to understand and start building with Artificial Intelligence — step by step and from scratch.
💡 What You’ll Learn:
✅ What is AI and how it works in 2026
✅ Difference between AI, Machine Learning & Deep Learning
✅ Real-world use cases of AI (ChatGPT, Automation, Robotics, etc.)
✅ Hands-on beginner AI projects (no coding experience required)
✅ Free AI tools and platforms you can start using today
✅ How to build a career in AI
💼 Perfect for:
Students | Beginners | Developers | Entrepreneurs | Anyone curious about Artificial Intelligence
00:00:00 Introduction
00:01:48 What is Artificial Intelligence?
00:04:02 Types Of Artificial Intelligence
00:14:16AI vs Machine Learning vs Deep Learning
00:28:00 What is Deep Learning?
00:39:13 What is LLM? (Large Language Model)
00:55:43 What is AI Ethics?
01:04:19 What is Responsible AI?
01:12:33 Artificial Intelligence with Python
02:51:29 Artificial Neural Network
03:23:17 Recurrent Neural Networks
03:52:09 Convolutional Neural Network
04:12:44 Introduction to TensorFlow
04:36:21 OpenAI o3-mini Model
04:43:33 Introduction to Midjourney
05:02:05 How to use Midjourney?
05:09:48 GitHub Copilot
05:27:07 What is Vibe Coding?
05:36:17 Top 5 AI Frameworks
05:51:02 How AI is Transforming Studio Ghibli-Style Animation?
05:56:29 AI in Web Development
06:21:40 AI in Healthcare
06:30:22 AI in Retail
06:36:31 AI in Automotive
06:46:26 AI for Marketing
06:59:02 AI for Business
07:04:29 AI in Finance
07:13:06 AI for HR
07:19:28 AI in Manufacturing
07:25:55 AI in Cybersecurity
07:35:44 AI for Startup
07:44:17 AI for Testing
07:49:43 AI for Ethical Hacking
07:54:37 AI on Microsoft Azure
08:07:02 AI and Industry 4.0
08:12:03 AI Engineer Learning Path 2025
08:19:15 Top 15 AI Skills You Need to Know
08:27:35 Build AI Applicant Tracking System (ATS)
08:43:09 Artificial Intelligence Interview Questions & Answers

🚀 Subscribe for more free AI & Tech tutorials!
👍 Like this video and comment your favorite part!

#AICourse #ArtificialIntelligence #AIForBeginners #LearnAI #AIFullCourse #MachineLearning #DeepLearning #AITutorial #ai2026 #10HourAICourse #DataScience #AIEducation #AITraining #freeaicourse
🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py


📝Feel free to share your comments below.📝

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
🌕 RPA Online Training: http://bit.ly/3GFHKYB
🔵 Python Online Training: http://bit.ly/3Oubt8M
🌕 Azure Online Training: http://bit.ly/3i4P85F
🔵 GCP Online Training: http://bit.ly/3VkCzS3
🌕 Microservices Online Training: http://bit.ly/3gxYqqv
🔵 Data Science Online Training: http://bit.ly/3V3nLrc


🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
🔵 Web Development Masters Program: http://bit.ly/3U9R5va
🌕 Computer Science Bootcamp Program : http://bit.ly/3UZxPBy
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
🌕 Full Stack Developer Masters Program : http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J


🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

🌕Advanced Certificate Program in Cybersecurity with E&ICT Academy, IIT Guwahati: https://bit.ly/3Pd2utG



Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.