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Artificial Intelligence with Machine Learning, Deep Learning

Name: Artificial Intelligence with Machine Learning, Deep Learning
SKU: EXT-08887
Availability: InStock

Original price was: $29.00.Current price is: $10.00.

Sale Price: $10
Regular Price: $29
Size: 4.98 GB
Duration: 22.59 hours
Lessons: 166
Categories: Artificial Intelligence, Machine Learning
Brand: Expert Training
Language: English
Delivery: Instant Download
Rating: ⭐️⭐️⭐️⭐️⭐️ 4.9

SKU: EXT-08887 Category: Everything Else Tags: AI Algorithms, AI Basics, and Deep Learning, and F1 Score, and Keras, and Reinforcement Learning, Artificial Intelligence, Building Predictive Models with Python and R, Data Preprocessing and Feature Engineering Techniques, Data Science, Deep Learning, Deep Learning Fundamentals: Neural Networks and Their Architectures, Deploying Machine Learning Models in Production, Ethical Considerations in AI Development, Exploring Future Trends in AI and Machine Learning, Exploring Key Libraries: Scikit-Learn, Hands-On Projects: From Data Collection to Model Deployment, Hyperparameter Tuning and Model Optimization Techniques, Implementing Convolutional Neural Networks (CNNs) for Image Recognition, Introduction to Artificial Intelligence and Machine Learning, Machine Learning, ML, Model Evaluation Metrics: Accuracy, Neural Networks, Overview of Machine Learning Algorithms: Supervised, Precision, Predictive Analysis, Preparing for AI and Machine Learning Certifications, Real-World Applications of AI and ML: Case Studies and Industry Use Cases, Recall, Recurrent Neural Networks (RNNs) for Sequential Data and Time Series Analysis, TensorFlow, Transfer Learning and Its Applications in Deep Learning, Understanding the Differences Between AI, Unsupervised

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Description

AI with Machine Learning: Artificial Intelligence with Machine Learning, Deep Learning

AI with Machine Learning is crucial for modern technology and this course delves into both Machine Learning and Deep Learning.

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

Basic understanding of programming
Interest in data science and AI

Description: AI with Machine Learning

Master the intricacies of AI with Machine Learning, focusing on techniques like supervised and unsupervised learning, neural networks, and deep learning. This course guides you from the foundational aspects of machine learning to advanced topics such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and reinforcement learning. Gain insights into real-world applications and case studies that illustrate the transformative power of AI in industries from healthcare to finance. With practical examples and hands-on labs, this comprehensive course equips you to implement AI-driven solutions effectively.