Python & TensorFlow: Deep Dive into Machine Learning

4.8 Rating

(9 Reviews)

4 Students

Last updated: June 28, 2024
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Language: English
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Flexible Schedule

Ever imagined a program that can learn from data, recognize patterns, and make intelligent predictions? That’s the magic of Machine Learning, and Python & TensorFlow: Deep Dive into Machine Learning is your key to unlocking its potential. This comprehensive course dives deep into the theoretical foundations of Machine Learning and Deep Learning, using Python as the programming language and TensorFlow as the powerful framework.

Get ready to explore the fascinating world of supervised and unsupervised learning, unravel the complexities of Neural Networks, and master the art of model evaluation and optimization. By the end, you’ll be equipped with a solid understanding of these cutting-edge technologies, ready to tackle your own Machine Learning projects.

This course is purely theoretical, focusing on building a strong conceptual foundation. So, prepare to embark on an intellectual journey that will transform your understanding of artificial intelligence and its applications.

Learning Outcomes

  1. Grasp the core concepts of Machine Learning and Deep Learning.
  2. Understand the functionalities of Python and TensorFlow in building Machine Learning models.
  3. Explore the various algorithms used in supervised and unsupervised learning.
  4. Demystify Neural Networks and their role in Deep Learning.
  5. Learn the techniques for evaluating and optimizing Machine Learning models.
  6. Gain the theoretical knowledge to tackle your own Machine Learning projects.

Why buy this Python & TensorFlow: Deep Dive into Machine Learning course?

  1. Unlimited access to the course for forever
  2. Digital Certificate, Transcript, student ID all included in the price
  3. Absolutely no hidden fees
  4. Directly receive CPD accredited qualifications after course completion
  5. Receive one to one assistance on every weekday from professionals
  6. Immediately receive the PDF certificate after passing
  7. Receive the original copies of your certificate and transcript on the next working day
  8. Easily learn the skills and knowledge from the comfort of your home

Certification

After studying the course materials of the Python & TensorFlow: Deep Dive into Machine Learning there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99. Original Hard Copy certificates need to be ordered at an additional cost of £8.

Who is this Python & TensorFlow: Deep Dive into Machine Learning course for?

  • Aspiring Data Scientists eager to build a strong foundation in Machine Learning theory.
  • Programmers with a basic understanding of Python who want to explore Machine Learning.
  • Individuals seeking a theoretical grasp of Deep Learning concepts and how TensorFlow works.
  • Students pursuing a career in Artificial Intelligence research.
  • Anyone curious about the inner workings of Machine Learning and its potential applications.
  • Professionals looking to expand their knowledge base in the field of AI.

Prerequisites

This Python & TensorFlow: Deep Dive into Machine Learning does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Python & TensorFlow: Deep Dive into Machine Learning was made by professionals and it is compatible with all PC’s, Mac’s, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.

Career path

  • Machine Learning Engineer: £40,000 to £80,000 per year
  • Data Scientist: £35,000 to £70,000 per year
  • Artificial Intelligence (AI) Research Scientist: £50,000 to £90,000 per year
  • Deep Learning Engineer: £45,000 to £85,000 per year
  • Research Scientist (Machine Learning): £40,000 to £75,000 per year
  • AI Consultant: £45,000 to £85,000 per year

Course Curriculum

Introduction to Machine & Deep Learning
What is Machine Learning? 00:03:00
Types of Machine Learning 00:03:00
Applications of Machine Learning 00:03:00
What is Deep Learning? 00:04:00
Basics of TensorFlow & Installation
What is TensorFlow? 00:05:00
Installing and Setting up TensorFlow 00:03:00
TensorFlow Architecture 00:04:00
A refresher on APIs 00:08:00
TensorFlow APls 00:04:00
Machine Learning Part 1: Supervised Learning
What is Supervised Learning? 00:03:00
Linear Regression 00:10:00
Logistic Regression 00:13:00
Decision Trees 00:08:00
Random Forests 00:08:00
Support Vector Machines (SVMs) 00:05:00
Machine Learning Part 2: Unsupervised Learning
What is Unsupervised Learning? 00:09:00
K-Means Clustering 00:06:00
Hierarchical Clustering 00:06:00
Principal Component Analysis (PCA) 00:04:00
Deep Learning Basics with Tensorflow: Neural Networks
What are Neural Networks? 00:04:00
Basic Neural Networks 00:05:00
Convolutional Neural Networks (CNNs) 00:06:00
Recurrent Neural Networks (RNNs) 00:04:00
Building Deep Neural Networks 00:05:00
Model Evaluation & Optimization
Training and Testing Data 00:04:00
Model Evaluation Metrics 00:05:00
Overfitting and Underfitting 00:07:00
Hyperparameter Tuning 00:04:00
TensorFlow for Production
Saving and restoring models 00:04:00
Deploying TensorFlow models 00:04:00
Distributed TensorFlow 00:04:00
TensorBoard for visualization and debugging 00:06:00
Project: Image Classification
ML Project: Image Classification Model 00:05:00
Conclusion
Conclusion 00:05:00
Python & TensorFlow: Deep Dive into Machine Learning
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This course includes:

  • level Skill Level
  • course_duration Duration
    3 hours, 1 minute
  • studentsStudents
    4 Students