This course teaches you the foundational concepts of machine learning algorithms, data cleaning, supervised and unsupervised learning, and best practices in machine learning with TensorFlow. You will gain hands-on experience with the TensorFlow framework with the practical teaching approach from our well-experienced trainers. You’ll also learn to apply your coding skills to various exercises and projects involved in machine learning with TensorFlow.
Machine Learning with Tensorflow Certification
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- Description
- Curriculum
- FAQ
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Prerequisites
To get the most out of this course, it is recommended that you have an intermediate knowledge of programming in Python. You should also have a basic knowledge of statistics and probability.
What will you gain after this course
After completion of the Machine Learning with TensorFlow Certification, you will be able to:
- Understand the foundational concepts of machine learning algorithms
- Learn data cleaning techniques
- Gain hands-on experience with TensorFlow framework
- Learn supervised and unsupervised learning techniques
- Learn best practices in machine learning
- Apply coding skills to various exercises and projects in machine learning with TensorFlow
- Download the certificate after completing the course
Jobs you can get
with a Machine Learning with Tensorflow Certification
- Machine Learning Engineer
- Data Scientist
- Artificial Intelligence Engineer
- Research Scientist
- Business Intelligence Developer
- Data Analyst
- Analytics Manager
Select your preferred training delivery mode
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Q: What is machine learning?
Machine learning is a subset of artificial intelligence that involves teaching machines to learn from data and improve their performance on a task over time.
Q: What skills are necessary for a career in machine learning?
A career in machine learning typically requires a strong foundation in mathematics, statistics, and computer science. In addition, familiarity with programming languages like Python and experience with data analysis and modeling are also important.
Q: How do I get started with machine learning?
To get started with machine learning, you can begin by learning programming languages such as Python, R, and SQL, and become familiar with machine learning libraries such as Scikit-learn and TensorFlow. You can also take online courses or attend workshops and conferences to learn more about machine learning.
Q: What ethical considerations are associated with machine learning?
Ethical considerations associated with machine learning include issues of bias and discrimination, privacy concerns, and accountability for the decisions made by machine learning models.
Q: What kind of support will I get during the course?
You will have access to assistance and support throughout the course. Additionally, you will have access to free mentorship, live chat for instant solutions, and mandatory feedback sessions.
Q: Will I have access to class recordings?
Yes, you will have access to the class recordings.
Q: What kind of roles can I expect after completing this course?
After completion of the Machine Learning Certification Course, you will be prepared for a career as a Machine Learning Engineer or Data Scientist. You can also work as a UK Data Scientist.
I. Supervised Learning
- Regression
- Perceptron Algorithms
- Decision Trees
- Naive Bayes'
- Support Vector Machines
- Ensemble of Learners
- Evaluation Metrics
- Training and Tuning Models
II. Neural Networks
- Introduction to Neural Networks
- Implementing Gradient Descent
- Training Neural Networks
- Deep Learning with PyTorch
III. Unsupervised Learning
- Clustering
- Hierarchical and Density-Based Clustering
- Gaussian Mixture Models
- Dimensionality Reduction
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Course details
Duration
5 Days / 5 Weeks
Video
London, Flexible Online
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