Machine Learning Algorithms
Advanced Machine Learning Algorithms
Neural Designers specialize in neural networks, the most powerful machine learning technique. They use it to discover relationships, recognize patterns, and predict trends from customers data. The course, Machine Learning Algorithms in 14 Days will teach You learn about 7 key algorithms in the realm of Data Science and Machine Learning. You will learn how to pre-process and optimize your data before You use it in classification and clustering algorithms. You will then find out how to predict data based on existing trends in your datasets. Over the course of 7 days, you will be introduced to seven algorithms, along with exercises that will help you learn different aspects of machine learning. This course covers algorithms such as k-Nearest Neighbors, Naive Bayes, Decision Trees, Random Forest, k-Means, Regression, and Time-Series. On completion of the course, you will understand which machine learning algorithm to pick for clustering, classification, or regression and which is best suited for your problem. You will be able to easily and confidently build and implement data science algorithms.
Outline
- Approximation: Model outputs as function of inputs
- Classification: Assign categories to given patterns
- Forecasting: Make predictions about the future
- Machine learning examples
- Exercise (Text Classification): Assign a category to open-ended text
- Exercises and group work
Course Content
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Duration 2 Weeks | |
Language/Documentation English Germany | |
Participants
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Course Highlights:
1. Algorithm Fundamentals: Explore the foundational concepts of machine learning, including supervised, unsupervised, and reinforcement learning.
2. Key Algorithms: Dive into essential machine learning algorithms, such as linear regression, decision trees, k-means clustering, support vector machines, and neural networks.
3. Hands-On Practice: Gain practical experience by working on guided exercises and projects that reinforce your understanding of these algorithms.
4. Algorithm Selection: Learn how to choose the right algorithm for specific tasks and datasets, considering factors like data type, problem type, and performance requirements.
5. Model Evaluation: Master the art of evaluating model performance through metrics like accuracy, precision, recall, and F1 score.
6. Optimization Techniques: Explore methods for fine-tuning algorithm parameters to enhance model performance and efficiency.
7. Real-World Applications: Examine case studies and examples that showcase how these algorithms are applied in various industries, from healthcare to finance.
8. Practical Tools: Familiarize yourself with widely used machine learning libraries and frameworks, including scikit-learn and TensorFlow.
9. Q&A Sessions: Engage in interactive Q&A sessions with experienced instructors, enabling you to clarify doubts and deepen your understanding.
10. Certificate of Completion: Receive a certificate upon successfully completing the workshop, demonstrating your proficiency in machine learning algorithms.
Course Requirements:
- Basic knowledge of Machine Learning will be advantageous, but not necessary
Who this course is for:
- This course is designed to help students learn all about AI from scratch, so you can take your business or career to the next level, by leveraging the power of AI! At the end of this course, you will have a comprehensive understanding of Artificial Intelligence (AI) technology and how it can be leveraged to achieve business goals in all industries
- You will learn about the many applications of AI in the business world and how to identify potential opportunities for implementation in your own organization or to enhance your career
- Developers, aspiring Data Science Professionals who are currently implementing one or two data science algorithms and want to learn more to expand their skill-set. This course will be a great enabler for those who aspire to master some of the most relevant and oft-used algorithms in Machine Learning
- This course is ideal for data analysts, software engineers, researchers, and anyone interested in mastering the power of machine learning algorithms. Join us for this focused and practical training experience, and leave with the confidence to apply machine learning algorithms to real-world challenges
Contact
If you are interested in a company-specific custom development and would like to find out more, please feel free to get in touch with us.
Give us a call on: +49 (0) 176 310 693 62
or send an email to: info@inovaitec.com
Alternatively, You can fill out our contact form here. We look forward to hearing from you.