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Read MoreMachine Learning Certification Training Course
Machine Learning is the next big technology and is expected to have wide impact on our lives in coming years. It is a technology to make computers to think like human beings, to make decision making based on facts and data.
Machine Learning is the next big technology and is expected to have wide impact on our lives in coming years. It is a technology to make computers to think like human beings, to make decision making based on facts and data. Machine Learning and Artificial Intelligence are related fields.
We have designed the Machine Learning course content to suit the needs of engineering undergraduates and professional who want to pursue their career in the field of Machine Learning and Artificial intelligence in a number of domains.
Machine learning is a subfield of artificial intelligence, which is broadly defined as the capability of a machine to imitate intelligent human behavior. Artificial intelligence systems are used to perform complex tasks in a way that is similar to how humans solve problems.
A list of jobs and their associated pay is shown below:-
Shalini Yadav I joined CertEra for my PMP training and my overall experience, I must say was amazing. The training was excellent for knowledge sharing. I got all the help and support from the staff in this certification journey. CertEra people are very prompt in responding and quite professional. Farrukh Piracha Got PMP training for myself. Extremely professional people and great service. Delivered more than what they promised!!! Will strongly recommend. rahul rai To be honest , this was my first online class and completed data science course,Thank you for this amazing learning journey! Tegveer Singh I have finished cisa certification, Highly recommend to anyone looking for quality education and professional development🤗. AARIF KHAN I have just completed my pmp course. I am grateful to Certera for this incredible educational experience. Rahul Singh I recently finished my TOGAF course, and it was an incredible experience. S Yaduvanshi Amazing working environment with good colleagues and appreciable management. Best organisation I have ever had. Kashish Chandok The trainer were highly knowledgeable and experienced. Thank you certera
Supervised & Unsupervised Learning
Regression Analysis
Linear Regression and Logistic Regression
Classification
Prediction
Bayesian Classification Models
Association rules
Neural Networks
Perceptron
MLP
SVM
Modelling Regression Analysis
Creating a Clustering Model
Loan Prediction Problem
Working on Iris Data Set
Titanic Data
Boston Housing Data Set
Predict Stock Prices
Classifying MNIST digits using Logistic Regression
Intrusion Detection using Decision
CIFAR Data set
ImageNet Data Set
Credit Risk Analytics using SVM in Python
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Start by gaining a strong foundation in programming (Python or R), mathematics, and statistics. Acquire hands-on experience with machine learning algorithms and tools through projects and internships. Complete relevant certification training, stay updated with industry trends, and build a portfolio showcasing your skills and practical experience.
Proficiency in programming languages (Python or R), understanding of machine learning algorithms and models, experience with data preprocessing and feature engineering, familiarity with libraries and frameworks (e.g., TensorFlow, scikit-learn), and basic knowledge of statistics and linear algebra.
Being a Machine Learning Specialist enhances your ability to develop and deploy advanced predictive models, opens up high-demand job opportunities, increases earning potential, and positions you as a key contributor to innovative technology solutions and data-driven decision-making.
Certera Certification is accepted globally and has been recognized by top notch companies.
Data Analytics Certification validates your skills in analyzing, interpreting, and visualizing data using various tools and techniques. It demonstrates your expertise in data analytics to potential employers.
Prepare by taking relevant training courses, practicing with real-world data, and studying certification guides and practice exams. Hands-on experience with data analysis tools is crucial.
Exams typically include multiple-choice questions, practical exercises, and case studies. They test your ability to apply data analytics techniques to real-world scenarios.
Certification validity varies by provider, typically ranging from two to three years. Recertification or continuing education may be required to maintain your certification status.
Exams can be taken online or at designated test centers, depending on the certification provider. Check the specific certification website for exam scheduling and locations.
Prerequisites vary by certification but generally include a basic understanding of data analysis concepts, familiarity with relevant tools, and sometimes prior work experience or education in a related field.
Costs vary by certification and provider. Check the certification provider’s website for current pricing and payment options.
You can check your certification status and access your certificate through the certification provider’s online portal after passing the exam.
If you do not pass, review the exam results, focus on the areas where improvement is needed, and retake the exam when you feel prepared. Most certifications allow multiple attempts.
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