Machine Learning
This course provides a brief introduction to the basic machine learning concepts and popular machine learning algorithms. At Allsoft we cover the most popular supervised learning algorithms, including linear regression, logistic regression, decision trees, k-nearest neighbors, an introduction to Bayesian learning and the naive Bayesian algorithm, support vector machines and kernels, and an introduction to neural networks Deep learning.
The science of computers without explicit programming is machine learning. Machine learning over the past decade has enabled us to advance ourselves, recognize language practices, efficiently browse the website, and understand the human genome much better. Machine learning is so ubiquitous today that you may not be familiar with it a dozen times a day. Many researchers also believe that this is the best strategy for advancing human AI.
In this lesson, you will learn about the most effective machine learning methods and how to implement them and make them work for you. Above all, you not only learn the theoretical basics of learning, but also acquire the practical know-how to apply these strategies quickly and sustainably to new challenges. Finally, you'll learn about some of the best innovation practices in Silicon Valley for machine learning and AI.
This course provides a comprehensive introduction to automated learning, data analysis, and statistical pattern recognition. Topics are: I supervised learning (algorithms, parameters / non-parametric, vector support, kernel, neural networks). (ii) Uncontrolled study (clustering, dimensionality reduction, recommendation systems, deep learning). (iii) machine learning best practices (bias / variance theory; machine learning and AI innovation process);
You will also learn how to use the learning algorithms to develop intelligent robots (perspective, surveillance), text comprehension (web search, antispam), computer vision, medical information, audio, database and other areas. The course also includes case studies and applications.
Course Details
Founded in 2001, Allsoft Solutions, Inc. is a software development and education company specializing in a wide variety of technologies. Our product development services cover an impressive range of technologies with a focus on IBM Solutions. We combine creative and convincing planning, strategy with expert knowledge in order to master the toughest challenges for companies. Our goal is to achieve 100% customer satisfaction by delivering economically optimal solutions that are tailored to each customer.
Allsoft Solutions is a step not only towards 100% placement, but also after placement towards better job offers.
Our Values:
Industry expert with domain knowledge
Young & Dynamic team with experience
Handshake with IBM technology
Course Information
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Unit-I |
Introduction to Machine Learning |
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Unit-II |
Data Pre-processing and Data Scaling Methods |
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Unit-III |
Regression |
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Unit-IV |
Classification |
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Unit-V |
Unsupervised Learning |
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Unit-VI |
Recommender Systems and Introduction to Deep Learning |
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Future Opportunity
The scope of machine learning is expanding across all areas such as banking and finance, information technology, media & entertainment, games and the automotive industry. Some job options you may be able to choose from are:
- Machine Learning Engineer
- Deep Learning Engineer
- Data Scientist
- Computer Vision Engineer
Tutor Information
At Allsoft, we have Experienced and IBM certified instructors with expertise in Python, R, machine learning, natural language processing, data and text mining.
Industry Driven projects
- Disease Prediction
- Sentiment Analysis of Product Reviews.
- Stock Prices Prediction.
- Sales Forecasting.
- Movie Ticket Pricing Prediction.
- Music Recommendation.
- Handwritten Digit Classification.
