Course Highlights
The transformative impact of machine learning is evident across industries. From personalised recommendations on streaming platforms to advancements in medical diagnostics, the world relies on innovative solutions. Python & TensorFlow: Deep Dive into Machine Learning introduces you to the tools and techniques behind these breakthroughs, providing skills crucial for the technology-driven job market.
Python, renowned for its simplicity and versatility, is your gateway to machine learning concepts. Combined with TensorFlow’s powerful framework, it enables you to build models capable of solving complex problems. The course walks you through foundational topics, including supervised and unsupervised learning, then progresses to advanced applications like neural networks. A highlight includes using TensorFlow to create a project focused on image classification—a skill highly valued by employers today.
Career opportunities are abundant, with roles such as data scientist and AI engineer commanding competitive salaries. By learning machine learning, Python, and TensorFlow, you position yourself as a desirable candidate in sectors like finance, healthcare, and entertainment. With technology shaping the future, these skills promise not just a job but the ability to innovate and lead change.
Embark on a journey with Python & TensorFlow: Deep Dive into Machine Learning and reshape your career path. Stay ahead of evolving trends, enhance your professional profile, and contribute to the innovations shaping tomorrow’s world.
Learning outcome
- Familiar yourself with the recent development and updates of the relevant industry
- Know how to use your theoretical knowledge to adapt in any working environment
- Get help from our expert tutors anytime you need
- Access to course contents that are designed and prepared by industry professionals
- Study at your convenient time and from wherever you want
Course media
Why should I take this course?
- Affordable premium-quality E-learning content, you can learn at your own pace.
- You will receive a completion certificate upon completing the course.
- Internationally recognized Accredited Qualification will boost up your resume.
- You will learn the researched and proven approach adopted by successful people to transform their careers.
- You will be able to incorporate various techniques successfully and understand your customers better.
Certificate of Achievement
Skill Up Recognised Certificate
Upon successful completion of the Digital Marketing Certification Course, you can request a Skill Up Recognised Certificate. This certification carries great significance and remains a testament to your skills for a lifetime.
- PDF Certificate + PDF Transcript: £14.99
- Hardcopy Certificate + Hardcopy Transcript: £19.99
- Delivery Charge: £10.00 (Applicable for International Students)
Click below to order your SkillUp Brand Recognised Certificate, complete your payment and get ready to upgrade your resume.
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CPD Quality Standards Accredited Certificate
The CPD Quality Standards Accredited Certificate of Achievement is available for application when you successfully finish the Digital Marketing Certificate Course.
Order your CPD Quality Standards Accredited Certificate by clicking the link below, then finish the purchase process to bolster your professional portfolio.
Requirements
- No formal qualifications required, anyone from any academic background can take this course.
- Access to a computer or digital device with internet connectivity.
Course Curriculum
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Additional Materials – Python & TensorFlow: Deep Dive into Machine Learning
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What is Machine Learning?
00:03:00
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Types of Machine Learning
00:03:00
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Applications of Machine Learning
00:03:00
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What is Deep Learning?
00:04:00
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What is TensorFlow?
00:05:00
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Installing and Setting up TensorFlow
00:03:00
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TensorFlow Architecture
00:04:00
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A refresher on APIs
00:08:00
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TensorFlow APls
00:04:00
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What is Supervised Learning?
00:03:00
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Linear Regression
00:10:00
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Logistic Regression
00:13:00
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Decision Trees
00:08:00
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Random Forests
00:08:00
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Support Vector Machines (SVMs)
00:05:00
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What is Unsupervised Learning?
00:09:00
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K-Means Clustering
00:06:00
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Hierarchical Clustering
00:06:00
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Principal Component Analysis (PCA)
00:04:00
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What are Neural Networks?
00:04:00
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Basic Neural Networks
00:05:00
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Convolutional Neural Networks (CNNs)
00:06:00
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Recurrent Neural Networks (RNNs)
00:04:00
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Building Deep Neural Networks
00:05:00
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Training and Testing Data
00:04:00
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Model Evaluation Metrics
00:05:00
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Overfitting and Underfitting
00:07:00
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Hyperparameter Tuning
00:04:00
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Saving and restoring models
00:04:00
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Deploying TensorFlow models
00:04:00
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Distributed TensorFlow
00:04:00
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TensorBoard for visualization and debugging
00:06:00
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ML Project: Image Classification Model
00:05:00
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Conclusion
00:05:00
14-Day Money-Back Guarantee
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Duration:3 hours, 1 minute
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Access:1 Year
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Units:35


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