Python & TensorFlow: Deep Dive into Machine Learning
Python & TensorFlow: Deep Dive into Machine Learning
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Overview
Empower your career journey with our in-demand course: Python & TensorFlow: Deep Dive into Machine Learning
Boost your proficiency and propel your career forward with our meticulously crafted course, designed to be your ultimate guide to professional development. Our super-accessible modules break down complex topics into bite-sized, easy-to-understand lessons, filling your knowledge gaps and equipping you with real-world, practical skills.
Seeking career advancement and application of your skills? You’ve found the right place. This Python & TensorFlow: Deep Dive into Machine Learning is your exclusive passport to unlocking your full potential.
Enroll today and enjoy:
- 100% online flexibility: Learn at your own pace, from anywhere in the world.
- Expert support: We're by your side throughout your journey, providing guidance and assistance.
- Comprehensive curriculum: Dive deep into relevant topics aligned with industry standards.
- Practical focus: Apply your learnings to real-world scenarios and situations.
This sought-after course is your key to a successful and lucrative career. Don’t miss out on this transformative opportunity. Enroll now and take your professional life to the next level!
Course design
The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.
You are taught through a combination of
- Video lessons
- Online study materials
Exam & Retakes
It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable.
Certification
Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery).
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) | 00:02:00 | ||
| 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) | 00:05:00 | ||
| 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 | ||
With a team of industry professionals producing and delivering our course content, you can be sure the skills and knowledge you learn are applicable to your career aspirations, whether that’s in management, administration or beyond.
