4.8 (24,852) reviews 60,000
36,953*
NO COST EMI : 6,159 p.m for 6 Months
*Offer valid till 28th April 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 statistical models that enable computers to learn and make predictions or decisions without being explicitly programmed.
Essential skills for machine learning include programming (e.g. Python, R), statistics and mathematics, data preprocessing, feature selection and engineering, model evaluation, and algorithmic understanding.
Commonly used tools in machine learning include Python libraries like scikit-learn, TensorFlow, and PyTorch, as well as programming environments such as Jupyter Notebook and IDEs like PyCharm.
There are numerous different models in machine learning, including linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), naive Bayes, k-nearest neighbours (KNN), and various types of neural networks.
A machine learning expert course typically covers topics like data exploration and visualization, supervised and unsupervised learning algorithms, model evaluation and selection, deep learning, natural language processing (NLP), and hands-on project experience.
Job roles associated with machine learning include machine learning engineer, data scientist, AI researcher, data analyst, research scientist, and AI consultant.
The cost of machine learning training in India typically ranges between INR 70,000 and 1,00,000.
There is a high demand for machine learning professionals globally, including in India, as organizations across various industries are increasingly adopting AI and ML technologies to gain insights, automate processes, and improve decision-making.
The three main types of machine learning are supervised learning (where the model learns from labeled data), unsupervised learning (where the model discovers patterns and structures in unlabeled data), and reinforcement learning (where the model learns by interacting with an environment and receiving rewards or penalties).
Machine learning has a wide range of uses and applications, including but not limited to predictive analytics, image and speech recognition, natural language processing, recommendation systems, fraud detection, autonomous vehicles, and personalized medicine.
Yes, CNN (Convolutional Neural Network) is a type of machine learning algorithm commonly used for image and video processing tasks, specifically designed to automatically and adaptively learn spatial hierarchies of features from input data.
Branches of machine learning include supervised learning, unsupervised learning, reinforcement learning, deep learning, transfer learning, generative models, and more, each focusing on different aspects and techniques within the field.
A machine learning algorithm refers to a specific method or procedure used to train a model on a dataset and make predictions or decisions. It includes a set of mathematical formulas, rules, or instructions that enable the model to learn from data and improve its performance over time.
Machine learning is used to solve complex problems, make predictions, extract insights from large datasets, automate processes, improve decision-making, and create intelligent systems that can learn and adapt to new information or situations.
RNN (Recurrent Neural Network) is a type of machine learning algorithm commonly used for sequential data analysis, such as natural language processing and time series prediction. It is designed to handle sequential dependencies and can retain information from previous steps in the sequence.
DataMites Institute in Dispur offers several advantages for a machine learning training course, including experienced trainers, a comprehensive curriculum, hands-on projects, flexible learning options, and industry-recognized certifications.
The machine learning training provided by DataMites in Dispur is highly recommended due to its practical approach, industry-relevant content, expert trainers, career support, and the opportunity to gain real-world experience through projects and case studies.
The training program extends over a period of 5 months, involving 400 hours of dedicated learning, including 100 hours of interactive online training.
The machine learning training fee in Dispur varies depending on the learning mode. It is priced at INR 60,000 for live virtual training, INR 36,000 for blended mode learning, and INR 60,000 for on-demand classroom training.
The machine learning training fee in Dispur varies depending on the learning mode. It is priced at 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 Dispur offers a range of machine learning courses, including Machine Learning Expert Training, Machine Learning Foundation Training, Machine Learning with TensorFlow, Machine Learning with Python Training, and Machine Learning with R Training.
The Machine Learning Expert Course offered by DataMites in Dispur is open to individuals with a background in computer science, mathematics, statistics, or related fields, making them eligible for enrollment.
DataMites follows a comprehensive learning approach in Dispur, which encompasses theoretical knowledge, practical hands-on practice, case studies, project implementation, and model deployment. This approach ensures a well-rounded learning experience for students.
DataMites offers a Flexi-Pass option, allowing participants to access training sessions for a duration of 3 months. This option provides extended support and guidance, enabling individuals to address doubts, review concepts, and enhance their learning experience.
DataMites provides a free demo class to give participants a glimpse into the training program and an overview of what they can expect during the training sessions.
Upon successful completion of the Machine Learning training, participants will receive the prestigious IABAC® certification, highly regarded globally for its industry recognition and reputation.
DataMites offers multiple payment options, including cash, net banking, checks, debit cards, credit cards (Visa, Mastercard, American Express), PayPal, ensuring convenient payment methods for participants.
DataMites provides Machine Learning courses in Dispur utilizing diverse training approaches, including live virtual training, blended learning (a mix of online and classroom training), and on-demand classroom training. This ensures learners have the flexibility to select their preferred learning mode according to their convenience.
According to the Ambition Box report, the salary of a Machine Learning Engineer in India ranges from INR 6.2 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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