Instructor Led Live Online
Self Learning + Live Mentoring
In - Person Classroom Training
The entire training includes real-world projects and highly valuable case studies.
IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.
The following topics are covered in "Machine Learning"
Foundation:
Machine Learning Introduction: Supervised and Unsupervised Learning
Multiple Linear Regression
Decision Tree:
Naive Bayes:
Support Vector Machines:
Association Rule:
Expert:
Neural Net:
Random Forest:
Recommendation Engine:
Dimension Reduction:
Machine Learning involves training algorithms to learn patterns and make predictions or decisions without explicit programming.
Key skills for Machine Learning include programming, statistics, mathematics, data analysis, problem-solving, and domain knowledge.
Commonly used tools in Machine Learning include Python, R, TensorFlow, PyTorch, scikit-learn, and Apache Spark.
Machine Learning encompasses numerous models, including decision trees, random forests, support vector machines (SVM), neural networks, and Bayesian networks.
A Machine Learning expert course covers topics such as data preprocessing, model selection, feature engineering, algorithm implementation, and practical project work.
Job roles associated with Machine Learning include Data Scientist, Machine Learning Engineer, AI Specialist, Data Analyst, and Research Scientist.
Machine learning training in India generally falls within the price range of INR 70,000 to 1,00,000.
Yes, there is a strong demand for Machine Learning professionals due to its wide-ranging applications across industries.
The three primary types of machine learning are supervised learning, unsupervised learning, and reinforcement learning.
Machine Learning finds applications in areas like predictive analytics, recommendation systems, fraud detection, image and speech recognition, natural language processing, and autonomous vehicles.
A machine learning algorithm is a set of rules and procedures that enables a machine to learn patterns from data and make predictions or decisions.
The purpose of utilizing machine learning is to automate data analysis, gain insights, make accurate predictions, and solve complex problems efficiently.
RNN (Recurrent Neural Network) is a type of neural network specifically designed to handle sequential data by using feedback connections, making it suitable for tasks like natural language processing and time series analysis.
KNN (K-Nearest Neighbors) is a simple and intuitive algorithm for pattern recognition and classification, while RNN is a type of neural network architecture suitable for sequence data processing and time dependencies.
KNN is a lazy learning algorithm that uses instance-based learning, while SVM (Support Vector Machine) is a supervised learning algorithm that finds an optimal hyperplane to classify data with maximum margin.
DataMites Institute in Ludhiana offers several benefits for a Machine Learning training course, including experienced trainers, a comprehensive curriculum, hands-on projects, industry-relevant case studies, and placement assistance.
The Machine Learning training provided by DataMites in Ludhiana is highly recommended due to its expert trainers, practical-oriented approach, and strong focus on industry applications, ensuring a solid foundation in Machine Learning skills.
The course spans 5 months and includes 400 hours of learning along with 100 hours of live online training.
The machine learning training fee in Ludhiana differs based on the learning mode. The price for live virtual training is INR 60,000, blended mode learning is priced at INR 36,000, and on-demand classroom training costs INR 60,000.
DataMites in Ludhiana provides a variety of machine learning courses such as Machine Learning Expert Training, Machine Learning Foundation Training, Machine Learning with TensorFlow, Machine Learning with Python Training, and Machine Learning with R Training.
Enrollment for the Machine Learning Expert Course offered by DataMites in Ludhiana is open to individuals who have a background in computer science, mathematics, statistics, or related fields, making them eligible to participate.
In Ludhiana, DataMites adopts a comprehensive learning approach that includes theoretical knowledge, hands-on practice, case studies, project implementation, and model deployment. This approach guarantees a holistic learning experience for students.
DataMites provides a Flexi-Pass option that grants participants access to training sessions for a period of 3 months. This option offers extended support and guidance, allowing individuals to clarify doubts, review concepts, and enhance their overall learning experience.
To give participants an insight into the training program and an overview of what to expect, DataMites offers a complimentary demo class where they can experience a glimpse of the training sessions.
Upon the successful completion of the Machine Learning training, participants will be awarded the esteemed IABAC® certification, which holds significant global recognition and reputation in the industry.
DataMites provides participants with various convenient payment options including cash, net banking, checks, debit cards, credit cards (Visa, Mastercard, American Express), and PayPal, ensuring flexibility in the payment process.
DataMites in Ludhiana offers Machine Learning courses using a range of training approaches, including live virtual training, blended learning (combining online and classroom training), and on-demand classroom training. This provides learners with the flexibility to choose their preferred learning mode based on their convenience.
According to the Ambition Box report, the salary of a machine learning engineer in India ranges from INR 6.2 LPA.
The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -
The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.
No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.