4.8 (24,856) reviews 60,000
48,371*
NO COST EMI : 8,062 p.m for 6 Months
*Offer valid till 24th November 2024
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 is a field of artificial intelligence that focuses on developing algorithms and models that enable computers to learn from and make predictions or decisions based on data, without being explicitly programmed.
Key skills for Machine Learning include proficiency in programming languages (such as Python or R), understanding of statistics and mathematics, knowledge of data manipulation and analysis, expertise in machine learning algorithms and frameworks, and problem-solving abilities.
Commonly used tools in Machine Learning include TensorFlow, PyTorch, scikit-learn, Keras, Pandas, and Jupyter Notebooks.
Machine Learning encompasses a wide range of models, including linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks, and more. The exact number of models can vary depending on the specific categorization and context.
The Machine Learning Expert Course typically covers advanced topics in machine learning, including deep learning, reinforcement learning, natural language processing, computer vision, and practical implementation of machine learning algorithms.
Job roles associated with Machine Learning include Machine Learning Engineer, Data Scientist, Data Analyst, AI Researcher, AI Consultant, and Predictive Modeler, among others.
The cost of machine learning training in India usually falls within the range of INR 70,000 to 1,00,000 on average.
Yes, there is a high demand for Machine Learning professionals across industries. The increasing availability of data, advancements in computing power, and the need for data-driven decision-making have contributed to the growing demand for individuals skilled in Machine Learning.
The three types of Machine Learning are supervised learning, unsupervised learning, and reinforcement learning.
Machine Learning is utilized in practice for various tasks such as image and speech recognition, natural language processing, recommendation systems, fraud detection, predictive maintenance, autonomous vehicles, and personalized medicine, among many others.
While Machine Learning is a subset of Artificial Intelligence, AI is a broader field that encompasses not only machine learning but also other techniques like expert systems, rule-based systems, and symbolic reasoning. Machine Learning focuses specifically on algorithms that enable computers to learn from data.
A real-world application of Machine Learning is autonomous driving, where models are trained to analyze sensor data, recognize objects, predict behaviour, and make decisions to navigate safely and efficiently on the road.
Regression in Machine Learning refers to a type of supervised learning algorithm used for predicting continuous numeric values, based on input features and their relationships.
The potential scope and career opportunities for Machine Learning professionals are vast and diverse, including fields like healthcare, finance, e-commerce, cybersecurity, marketing, robotics, and more. It offers roles ranging from research and development to implementation and deployment of machine learning solutions.
Yes, Machine Learning involves a significant amount of mathematics, including linear algebra, calculus, probability theory, and statistics. These mathematical foundations are essential for understanding and developing machine learning algorithms and models.
DataMites Institute in Cuttack offers several advantages for a Machine Learning Training Course, including experienced trainers, a comprehensive curriculum, hands-on projects, industry-relevant case studies, and post-training support.
Individuals should consider enrolling in the Machine Learning Training provided by DataMites in Cuttack for its practical approach, industry-oriented curriculum, personalized guidance, and the opportunity to learn from experts in the field.
The course duration is 5 months, comprising 400 learning hours and 100 hours of live online training.
The machine learning training fee in Cuttack differs based on the learning mode. The cost is INR 60,000 for live virtual training, INR 36,000 for blended mode learning, and INR 60,000 for on-demand classroom training.
DataMites in Cuttack provides a variety of machine learning courses, such as Machine Learning Expert Training, Machine Learning Foundation Training, TensorFlow for Machine Learning, Python for Machine Learning Training, and R for Machine Learning Training.
Individuals with a background in computer science, mathematics, statistics, or related fields are eligible to enrol in the Machine Learning Expert Course provided by DataMites in Cuttack.
DataMites in Cuttack offers Machine Learning courses with placement assistance, providing support to students in securing job opportunities in the field of Machine Learning. The DataMites Placement Assistance Team (PAT) provides various services, including connecting students with job opportunities, assisting with resume creation, conducting mock interviews with industry professionals, and discussing interview-related questions.
In Cuttack, DataMites adopts a comprehensive learning approach that includes theoretical knowledge, practical hands-on practice, case studies, project implementation, and model deployment. This holistic approach guarantees students a well-rounded learning experience.
DataMites provides a Flexi-Pass option that grants participants access to training sessions for a duration of 3 months. This feature offers extended support and guidance, allowing individuals to clarify doubts, review concepts, and enhance their overall learning experience.
DataMites offers a complimentary demo class to provide participants with a preview of the training program and an overview of the content covered during the training sessions.
Upon successfully finishing the Machine Learning training, participants will be awarded the prestigious IABAC® certification, renowned globally for its industry recognition and esteemed reputation.
DataMites provides participants with various payment options, including cash, net banking, checks, debit cards, credit cards (Visa, Mastercard, American Express), and PayPal. These flexible payment methods ensure convenient transactions for the participants.
In Cuttack, DataMites offers Machine Learning courses through a variety of training approaches, including live virtual training, blended learning (combining online and classroom training), and on-demand classroom training. This diverse range of options allows learners to choose the learning mode that best suits their convenience and preferences.
According to an Indeed report, the salary of a machine learning engineer in India ranges from INR 8,57,029 per year.
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.
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