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Machine Learning to a hero

Track :

Programming

Lessons no : 79

For Free Certificate After Complete The Course

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What will you learn in this course?
  • Develop practical machine learning models using Python and popular libraries like scikit-learn and TensorFlow
  • Apply data preprocessing, feature engineering, and normalization techniques for optimal model performance
  • Implement supervised, unsupervised, and reinforcement learning algorithms in real-world scenarios
  • Evaluate model accuracy, precision, recall, and F1 score to select the best machine learning solutions
  • Design and deploy scalable machine learning systems for business analytics and data-driven decision making
  • Identify and mitigate common machine learning challenges such as overfitting and bias
  • Utilize visualization tools to interpret and communicate machine learning results effectively
  • Integrate machine learning workflows into existing data pipelines for automation and efficiency

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  • The Certificate is free !
Lessons | 79
Machine Learning For Software Developers
01:24:31

Machine Learning For Software Developers
Deep Dive Into Computer Vision
00:38:47

Deep Dive Into Computer Vision
Blockchain AI Decentralized Artificial Intelligence
00:12:11

Blockchain AI Decentralized Artificial Intelligence
Predicting Titanic Survivors With Machine Learning
00:51:10

Predicting Titanic Survivors With Machine Learning
ENHANCE Upscaling Images with Neural Networks
00:11:12

ENHANCE Upscaling Images with Neural Networks
On device Machine Learning With TensorFlow
00:18:04

On device Machine Learning With TensorFlow
Machine Learning Client side ML vs Server side ML
00:19:53

Machine Learning Client side ML vs Server side ML
Run Deep Learning Models in the Browser With JavaScript and ConvNetJS
00:37:08

Run Deep Learning Models in the Browser With JavaScript and ConvNetJS
Deep Learning with Go
00:49:46

Deep Learning with Go
TensorFlowJS Machine Learning In JavaScript
00:26:46

TensorFlowJS Machine Learning In JavaScript
The Fastest Path To Deep Learning
00:32:09

The Fastest Path To Deep Learning
Knowledge Graphs Deep Learning at YouTube
00:18:48

Knowledge Graphs Deep Learning at YouTube
Detecting Pikachu on Android Using Tensorflow Object Detection
00:33:32

Detecting Pikachu on Android Using Tensorflow Object Detection
Realistic AI Options For NodeJS Developers
00:23:21

Realistic AI Options For NodeJS Developers
Artificial Intelligence The Future of Software
00:36:49

Artificial Intelligence The Future of Software
AI JavaScript Rocks
00:34:30

AI JavaScript Rocks
Machine Learning at Uber Natural Language Processing Use Cases
00:22:35

Machine Learning at Uber Natural Language Processing Use Cases
Practical Machine Learning for Front End Developers
00:35:46

Practical Machine Learning for Front End Developers
PyTorch 1 0 Now and in the Future || Adam Paszke
00:31:00

PyTorch 1 0 Now and in the Future || Adam Paszke
Machine Learning Zero to Hero
00:35:33

Machine Learning Zero to Hero
CUDA In Your Python Effective Parallel Programming on the GPU
00:29:28

CUDA In Your Python Effective Parallel Programming on the GPU
The Future of Machine Learning and JavaScript
00:33:46

The Future of Machine Learning and JavaScript
The Mathematics of Natural Intelligence
00:05:31

The Mathematics of Natural Intelligence
Teaching a Machine to Code
00:42:45

Teaching a Machine to Code
The Future of Conversational Experience
00:15:41

The Future of Conversational Experience
A Deep Dive into NLP with PyTorch
01:40:18

A Deep Dive into NLP with PyTorch
Training Intelligent Game Agents Using Deep Reinforcement Learning || Imran Rashid
01:17:01

Training Intelligent Game Agents Using Deep Reinforcement Learning || Imran Rashid
Rock Paper Scissors TensorFlow js Tour
00:13:05

Rock Paper Scissors TensorFlow js Tour
Delivering Python AI Products for Businesses at Massive Scale || Eleanor Ainy
00:29:31

Delivering Python AI Products for Businesses at Massive Scale || Eleanor Ainy
Perspectives on the Future of Computing for AI
00:50:40

Perspectives on the Future of Computing for AI
Shooting Hoops with Keras and TensorFlow || Zack Akil
00:41:36

Shooting Hoops with Keras and TensorFlow || Zack Akil
Deep Learning with TensorFlow 2 0
00:32:15

Deep Learning with TensorFlow 2 0
Machine Learning Magic For Your Web App with TensorFlowJS
00:08:31

Machine Learning Magic For Your Web App with TensorFlowJS
Introduction To TensorFlow 2 0
00:40:00

Introduction To TensorFlow 2 0
Intro to Probability and Statistics
01:30:12

Intro to Probability and Statistics
Data Science Uber
00:26:10

Data Science Uber
Machine Learning Crash Course || Samuel Taylor
00:42:06

Machine Learning Crash Course || Samuel Taylor
Do You Want To Build A Forest || Thomas J Fan
00:30:58

Do You Want To Build A Forest || Thomas J Fan
A Primer on Gaussian Processes for Regression Analysis || Chris Fonnesbeck
01:30:10

A Primer on Gaussian Processes for Regression Analysis || Chris Fonnesbeck
Transfer Learning Entering a New Era in NLP || Malte Pietsch
00:45:29

Transfer Learning Entering a New Era in NLP || Malte Pietsch
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Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.