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Advanced Data Science Machine Learning (ADSML) Certification Training
This 5-day instructor-led online Advanced Data Science Machine Learning Course in India equips learners to master modern skills for success in data-driven industries. The course covers important areas such as supervised and unsupervised learning, predictive analytics, natural language processing,
Advanced Data Science Machine Learning (ADSML) Certification Training
Expert-Led Virtual Classroom Training
Post-Training Assessment Tools
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Course Overview
This Advanced-Data Science Machine Learning (ADSML) Certification Training is designed meticulously to help learners develop advanced data science and machine learning skills. The topics offered in the curriculum include supervised and unsupervised learning, predictive analysis, natural language processing, and deep learning frameworks. The learners get practical experience with tools and various applications, like Python, TensorFlow, and Scikit, and learn how to develop effective data-driven solutions.
The course covers case studies that help develop analytical and problem-solving skills necessary for business. Other concepts like model selection, model regularization, feature selection, and feature extraction are covered in detail so you can create effective and fast machine-learning models. The training also incorporates the latest ideas, such as reinforcement learning and neural networks, to equip the learners to solve modern-day problems in the fields of AI and Big data.
Besides the technical skills, the course is designed with specific preparation for the ADSML Certification exam, which helps test your mastery of complex data science techniques. By the end of the course, learners will be able to use machine learning in different fields such as healthcare, finance, technology, and retail. They will also be well prepared to make meaningful inputs to data-oriented projects, thus opening up opportunities for career advancement.
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Course Objectives
- Get a clear concept of supervised and unsupervised learning algorithms in real-life problem-solving approaches.
- Learn how to build machine learning models using tools like Python, TensorFlow, and scikit-learn.
- Discover the prediction and forecast of trends, patterns, results, and remarkable input in data.
- Understand the NLP as the specialization that offers textual data analysis and processing solutions.
- Comprehend modern trends in deep learning frameworks and a neural network for developing intelligent systems.
- Understand reinforcement learning concepts to produce decision-making algorithms in the real world.
- Use real-world cases to create realistic and applicable machine-learning approaches for industries.
- Gain profound knowledge about the model evaluating methods to have high-quality and accurate predictions from the machine learning algorithms.
- Use exclusive resources and specific planning to practice for the ADSML certification test.
- Expand knowledge regarding feature engineering and hyper-tuning to increase the accuracy of the outcome.
- Gain knowledge to manage data science projects and be productive in organizations that deal with artificial intelligence.
Audience
- Machine learning engineers
- Data scientists
- Software developers
- AI enthusiasts
- IT professionals
- Business analysts
- Research associates
- Professionals transitioning to AI roles
- Analytics consultants
- Corporate training participants
- Beginners pursuing advanced AI studies
Prerequisite
- General understanding of programming concepts like Python and AI concepts.
- Basic skills in statistics, probability, and machine learning fundamentals.
- Work experience with data handling and analysis and data visualization tools.
Course Outline
Section 1 Data Science and Machine Learning Overview
- Brief Introduction to Data Science Ideas
- Data Science and the Steps Involved
- Machine Learning Algorithm Basics
Section 2 Data Processing and Preprocessing
- Exploratory Data Analysis
- Data Cleaning Techniques
- Feature Selection and Engineering
Section 3 Supervised Learning Approaches
- Decision Tree and Support Vector Machines
- Linear Regression Model and Logistic Regression Model
- Performance Criteria & Model Assessment
Section 4 Unsupervised Learning Approaches
- Dimensionality Reduction Methods include Principal Component Analysis (PCA) and t-distributed Stochastic Neighbor Embedding (t-SNE)
- Clustering methods like K-Means Clustering and Hierarchical clustering
- Use of Unsupervised Learning in Practice
Section 5 Deep Learning Basics
- Neural Networks: An Overview
- Recurrent Neural Network (RNNs)
- Convolutional neural networks (CNN)
Section 6 Advanced Machine Learning Concepts
- Overview of Natural Language Processing
- Tree-Based Learning Methods (Bagging, Boosting)
- Reinforcement learning principles
Section 7 Model Deployment and Monitoring Framework
- Monitoring Model Performance
- Using Models in Real-Life Conditions
- Feedback with the Focus on Efficiency Improvement
Section 8 Hands-On Project and Real-World Applications
- Analysis of Real-World Case Studies
- End-to-End Data Science Project
- Presentation of the findings of the project.
Section 9 Exam and Certification Guidance
- Practice Quizzes and Mock Exams
- Exam Format and Guidelines
- Best Practices on Completion of Certification
About The Certification
The ADSML Certification Course in India aims to establish proficiency in Data Science and Machine Learning techniques. This certification provides professionals with adequate tools to face data-related problems, learn from them, and apply them correctly.
The course covers key areas, including supervised and unsupervised learning, deep learning environments, NLP, predictive modeling, and reinforcement learning. It also covers feature selection and engineering, model tuning, and application development using real-life examples, which gives the learners practical experience.
The training also offers unique study materials, practice tests, and instructor tips to help you prepare for the exam. These materials are specifically aimed at preparing you to pass certification tests successfully and prove your knowledge of data science and machine learning.
ADSML Certification implies that you are qualified for several promising job profiles in data science sectors like technology, healthcare, finance, retail, and many more. It prepares you for careers such as data scientist, machine learning engineer, and artificial intelligence specialist. By the end of the course, you will be ready to thrive in your data science career, make important decisions, and discover more about new advancements in machine learning.
Choose Your Preferred Mode
Online Training
- Instructor-led Online Training
- Experienced Subject Matter Experts
- Approved and Quality Ensured Training Material
- 24*7 leaner assistance and support
Corporate Training
- Customized Training Across Various Domains
- Instructor-Led Skill Development Program
- Ensure Maximum ROI for Corporates
- 24*7 Learner Assistance and Support
FAQ’s
What does the ADSML Certification Training entail?
This certification confirms your proficiency in the fundamentals of modern data science and machine learning and emphasizes practical applications and unexplored approaches.
What are the most significant topics discussed in this course?
Some of the key topics covered are supervised learning, unsupervised learning, deep learning, NLP, reinforcement learning, predictive analytics, and real-life projects.
What is the role of Advanced-Data Science Machine Learning for today’s companies?
Advanced data Science Machine Learning uses predictive analytics and artificial intelligence to help businesses make decisions, improve performance, and create value.
This certification is suitable for whom?
This course is suitable for data scientists, artificial intelligence specialists, analysts, and anyone interested in developing their knowledge of modern machine learning and AI.
In which fields is Advanced Data Science Machine Learning emerging?
Tech companies, healthcare, finance, retail, and manufacturing industries mainly employ data scientists and machine learning specialists.
What does a Data Scientist do?
Data Scientist job roles include data analysis, model construction, improving learning algorithms, and creating insights.
What other certifications can I get after this?
Some of the certifications that you can pursue include AWS Certified Machine Learning Specialty, TensorFlow Developer Certification, or AI Ethics Certification.
How does real-world project exposure help in learning at Vinsys?
Vinsys provides a way to link theoretical knowledge with practical aspects so that learners can apply the skills they learn in practice.
What do I need to know before taking this course?
Applicants enrolling in this training program should have basic knowledge in programming, statistics, and data analysis.
Is it possible to customize corporate training with Vinsys?
Yes, Vinsys offers flexible arrangements of virtual or face-to-face teaching with independent learning tools adapted for the business environment.
Why Vinsys
Seasoned Instructors
Official Vendor Partnerships
Authorized Courseware
3,000+ Courses & 2,000+ Modules
In Synch with Tech-advancements
Customizable Blended Learning Options
Reviews
The Advanced Data Science and Machine Learning course helped me improve my data analytics career. The course included all deep learning models and sophisticated machine learning algorithms. The instructors at Vinsys were great, and when they taught you something new, they made it very simple for you to understand. I especially liked the practical assignments that helped me to get some practical experience in the practical application of the received knowledge.
Piyali RoyMachine Learning Engineer
I found this course to be exactly what I needed to develop my knowledge of machine learning further. The neural networks and model optimization modules were the most useful. Our team at Vinsys ensured that the sessions remained engaging and the examples used were quite helpful in mapping the information. They also offered me great study materials that were so useful in preparing for the certification exam, which I passed. Many thanks to Vinsys for this wonderful learning opportunity!
Sachin DixitData Scientist
I have done a few data science classes in the past, but this Advanced Data Science and Machine Learning course offered by Vinsys is great. The best thing I liked was that this course was application-based with lab scenarios and real-life case scenarios. The instructors were quite friendly and would make sure all the class members kept up with the flow. I believe that due to this training, I am now able to execute higher level machine learning work.
Abhishek GiriSoftware Developer
I wanted to switch to a data science position and this course was a great way to bridge the gap. In fact, Vinsys provided a very well-structured program which included feature engineering, advanced regression, and deep learning. The course also provided many practical exercises that I also found to be extremely helpful. The instructors were good and friendly and the learning environment was great. Thanks to this course, I received the certification that helped me find interesting employment opportunities.
Amol BhuvadBusiness Analyst
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