Intro to Machine Learning
Learn foundational of Big data Analytics from Industrial mentor and get Industry ready
- 30 Days | Online or Offline
With Industries Experts From
What is Machine Learning?
Machine learning is a branch of artificial intelligence (AI) that focuses on creating applications that learn from data and improve their accuracy over time, without the need for programming. In data science, an algorithm is a series of statistical processing steps. In machine learning, algorithms are "trained" to find patterns and features in massive amounts of data in order to make decisions and predictions based on new data. The better the algorithm, the more accurate the decisions and predictions, because it processes more data. Today, examples of machine learning are everywhere around us. The digital assistant will search the Internet and play music based on our voice commands. The website recommends products, movies and songs based on what we have previously purchased, watched or heard. When we do, the robot will vacuum our floor. .. Our time has better things. The spam detector prevents spam from reaching our inbox. Medical imaging systems can help doctors detect tumors they may have missed. The first self-driving car is on the road.
Why to learn in strydo?
Enhance your skill set and boost your hirability through innovative, independent learning. Accelerate your career with the credential that fast-tracks you to job success. Ideal for those beginning a career in data science. Master the tools and methods of data analysts. Ideal for those searching for a general purpose programming language. Learn a programming language designed with data science in mind
Syllabus
Intro To Machine Learning
Principal Component Analysis
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– Why learn it.
– Geometric intuition.
– Mathematical objective function.
– Alternative formulation of PCA: distance minimization
– Eigen values and eigenvectors.
Classification and Regression Models
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– How “Classification” works?
– Data matrix notation.
– Classification vs Regression (examples)
– K-Nearest Neighbors Geometric intuition with a toy example.
– Failure cases.
– Distance measures: Euclidean(L2) , Manhattan(L1), Minkowski, Hamming
– Cosine Distance & Cosine Similarity
Classification algorithms in various situations
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- 30 Days | Online or Offline
– Introduction
– Imbalanced vs balanced datasets.
– Multi-class classification.
– k-NN, given a distance or similarity matrix.
– Train and test set differences.
– Impact of Outliers
Power of Strydo Teaching
Why Strydo ?
- 24 * 7 Customer Support
- Flexible Learning programs
- Personal Career Coach
- Technical Mentor Support Form Top Industry
- Job Assistance in Top Frim
- No Cost EMI option
- 1 - 1 MentorShip
100% Guidance to Learn
- Get in touch with experienced menrtors from various industruies
- Schedule feedback sessions with the best in industry experts
- Full support on career counselling and areas of expertise from experienced industry practioners to know what's best for your
- One to One feedback sessions to ensure better performance in job interviews
- 1 - 1 MentorShip
Say no to doubts
- Resolve all your doubts with our deticated team of experts
- Costumized feedback on day to day to-do activities
- Weekly online sessions with experts to make sure hight conceptual rigidity
- Regular live sessions by experts to clarify concept related doubts
- Personalised expert feedback on assignments and projects to clarify yourdoubts
- 1 - 1 MentorShip
Training and Instructions
- Get in touch with experienced menrtors from various industruies
- Schedule feedback sessions with the best in industry experts
- Full support on career counselling and areas of expertise from experienced industry practioners to know what's best for your
- One to One feedback sessions to ensure better performance in job interviews
Learning from top Industry Mentors
- Trained experts to foster your potential in career options and to help you chose the best
- 1 - 1 Sessions to have feedback for your betterment
- Industry professionals to prep you up for interviews by building your resume and with mock interviews
Real-World Case studies
- Huge resources and opportunities available for real time case studies
- Analyzed dynamics by the experts for classic case studies
Course model designed by industry Leaders
- Every course intends to be participative with reflections and assessment from industry experts
- Breadth and quality of each course is designed by experts
- Strydo provide value added global certification programmes ffrom HPE
Job assistance in the top frim
- Competent Job Opportunities from the leading firms
- Analyzed dynamics by the experts for classic case studies
Course Mentors
Enrich yourself with experts
- Strydo provides a new approach to learning in India, delivering and assessing courses
- Our platform gives you access to expert tutors, learning resources and encourages feedback and collaboration with your peers
- Strydo takes great pride in bringing the very best trainers and facilitators to our course session
- All strydo trainers and facilitators have extensive experience working in, and with, great companies
BENEFITS
- Customized course model
- Course Curriculum designed by Industry Leaders
- 1-1 hands on industry exposure
- Real-world case studies
- Mock Interviews
- Capstone Project
- Value added certification programs from HPE based
- Unlimited online learning from strydo cloud labs
- Easy access learning materials from strydo blogs
- Frequently asked Question
Below we answered Some Frequently asked questions on our Platform
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Basic knowledge on that particular domain, and eagerness to learn new things on that domain.
STRYDO will give you a complete assistance from explaining a concept to finishing with final documentation.
Yes, STRYDO provides internship opportunities along with Course you learning.
Students can get in-depth knowledge about their course and can hands on experience on project development.
Tech wizards from various domain, having industrial and academic experience will develop your Course Curriculum.
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