AI Machine Learning Online Course Training in USA

AI Machine Learning Online Training in USA Live Classes

Ai-machine learning training in the USA
Willing to grow your career as an AI- machine learning professional? Join NearLearn to get hitched with the latest technologies of Artificial intelligence and machine learning along with the in-depth knowledge of these technologies right from the emergence of the two.

$550
$520

(0% Interest on EMI)

Course Decription

Artificial intelligence and machine learning are two crucial technologies that emerged in recent years and quickly gained the highest popularity among IT sectors and even these technologies have made their irreplaceable space in other business industries too. Artificial intelligence is a mechanism that allows a system to work on the data and scripts it holds with rare manual assistance. Apart from the machinery’s decision making capability it also serves with 100% accurate and effective results and this is the main reason why most of the businesses are hiring AI-Machine learning certified professionals at a handsome pay scale. NearLearn is one of the best AI-machine learning Training Institutes in USA offering AI-machine learning Online Training in USA to enable everyone joins this course and get ready to attain an excellent job opportunity in this highly competitive world.

Our Ai-machine learning Course in USA is compiled by the experts of the industry with an experience of more than a decade ensuring a comprehensive syllabus crafting for our aspirants with the in-depth knowledge of the technologies right the basics to the most advanced level. Every session is delivered by the professionals of the industry having vast work experience and is capable to educate every module of the technologies based on real-time experiences.

Artificial intelligence and machine learning are two most important technologies in the present business world as it has the solution for their every single requirement, but it requires a master hand with excellent skills to drive these technologies based on business requirements. NearLearn is renowned for best Ai-machine learning Training in USA because we not only provide theoretical knowledge but also educate our aspirants with real-time scenarios of distinct business industries enabling them to get well-equipped with the possible solutions for every business requirements. Apart from these, there are multiple factors for which we have proven our expertise and have achieved a milestone for providing Best Ai-machine learning Training in USA.

• We have top professionals of the industry in our team to craft the syllabus and study material
• Experts with vast experience to deliver sessions and teach our aspirants with comprehensive AI and machine learning technologies, tactics, and scenarios
• Flexibility to choose your training schedule
• Real-time project assessment for better knowledge of the professional world
• Accredited Ai-machine learning Training Certification in USA

There are no prerequisites to learn the AI-machine learning course. Experts of NearLearn make sure that we offer the Best Ai-machine learning Course in USA that starts from the most basic level of this technology and help every aspirant to understand it properly regardless of the prior education. To learn AI- machine learning you just need a basic knowledge of computer, mathematics, and basic programming knowledge.

COURSES CURRICULUM

⦁ Artificial Intelligence & Machine Learning Introduction

⦁ Who uses AI?

⦁ AI v/s ML v/s Deep Learning v/s Data Science v/s NLP v/s

⦁ AI for Banking & Finance, Manufacturing, Healthcare, Retail and Supply Chain

⦁ Supervised & Unsupervised Learning

⦁ Regression & Classification Problems

⦁ Clustering, Anomaly Detection & Dimensionality Reduction

⦁ What makes a Machine Learning Expert?

⦁ What to learn to become a Machine Learning Developer?

⦁ KeyElements of DataScience

⦁ DataWarehousing

⦁ BusinessIntelligence

⦁ Data Visualization

⦁ Data Mining

⦁ Machine Learning

⦁ Artificial Intelligence

⦁ Cloud Computing

⦁ Big Data

⦁ Python Introduction

⦁ Data Structures – int, str, float, bool, complex

⦁ Data Structures – list, tuple, dict and

⦁ Control Flow – if else, for loop, while loop

⦁ Functions

⦁ OOPs

⦁ Packages & Modules

⦁ Types of Variables – Continuous and Categorical

⦁ Interval, Ratio, Ordinal and Nominal

⦁ Terms – Population, Sample, Descriptive Statistics and Inferential Statistics

⦁ Mean, Median and Mode

⦁ Range, Percentile and IQR

⦁ Variance and Standard Deviation

⦁ Correlation and Covariance

⦁ Intro to NumpyArrays

⦁ Creatingndarrays

⦁ Indexing, Data Processing using Arrays

⦁ Mathematical computingbasics

⦁ Basic statistics

⦁ File Input andOutput

⦁ Getting Started with Pandas

⦁ Data Acquisition (Import & Export)

⦁ Selection andFiltering

⦁ Combining and Merging Data Frames

⦁ Statistical analysis with Pandas Data Frame

⦁ Removing Duplicates & String Manipulation

⦁ Data Cleaning – Handling Missing values

⦁ Data Aggregation with Pandas

⦁ Introduction to Visualization

⦁ Visualization Importance

⦁ Working with Python visualization libraries

⦁ Matplotlib

⦁ Working with Seaborn

⦁ Advance Plots with Seaborn

⦁ Creating Line Plots, Bar Charts, Pie Charts, Histograms, Scatter Plots

⦁ Understanding Box plots

⦁ Understanding Probability Distributions, Violin Plots

⦁ Correlations and Heatmaps

⦁ Regression Problem Analysis

⦁ Mathematical modelling of Regression Model

⦁ Gradient Descent Algorithm

⦁ Use cases

⦁ ModelSpecification

⦁ Data Collection & Preparation

⦁ DataMugging

⦁ OutlierAnalysis

⦁ Missing value treatment

⦁ FeatureEngineering

⦁ DataTransformation

⦁ Normalization vs Standardization

⦁ CreatingDummies

⦁ Dimensionality Reduction - Principal Component Analysis

Supervised MachineLearning algorithms

-- LinearRegression

-- LogisticRegression

* Decision/Classification Treeo Ensemble Models

⦁ Programming Using python

⦁ Building simple Univariate Linear Regression Model

⦁ Multivariate Regression Model

⦁ Modelling of Data

⦁ Variable Significance Identification

⦁ Bifurcate Data into Training / Testing Data set

⦁ Build Model on Training Data Set

⦁ Predict using Testing Data Set

⦁ Validate the Model Performance

⦁ MAPE, RMSE and R2 Value

⦁ Assumptions

⦁ Reason for the Logit Transform

⦁ Logit Transformation

⦁ Hypothesis

⦁ Variable and Model Significance

⦁ Maximum Likelihood Concept

⦁ Log Odds and Interpretation

⦁ Model Specification

⦁ Confusion Matrix

⦁ Accuracy, Recall, Precision and F1 Score

⦁ Forming a Decision Tree

⦁ Components of Decision Tree

⦁ Mathematics of Decision Tree

⦁ Decision Tree Evaluation

⦁ Practical Examples & Case Study

⦁ Project: Credit Card Approval Algorithm Model

⦁ Linear Regression

⦁ Logistic Regression

⦁ Decision/Classification Tree Ensemble Models

⦁ Bagging

⦁ Boosting

⦁ Random Forest

⦁ K-Nearest Neighbours (KNN)

⦁ Naive Bayes o Neural Network (Deep Learning)

⦁ Support Vector Machine

⦁ Clustering with K-means Clustering

• Bias-Variance Trade off

• Regularization

• Parameter tuning & grid search optimization

⦁ Random Forest Mathematics

⦁ Examples & use cases using RandomForests

⦁ Hierarchical Clustering

⦁ K Means Clustering

⦁ Use Cases for K Means Clustering

⦁ Programming for K Means using Python

⦁ Cluster Size Optimization vs Definition Optimization

⦁ Projects & Case Studies

⦁ Dimensionality Reduction, Data Compression

⦁ Curse of dimensionality

⦁ Multicollinearity & Factor Analysis

⦁ Concept and Mathematical modelling

⦁ Programming with python

⦁ Neurons, ANN & Working

⦁ Single Layer Perceptron Model

⦁ Multilayer Neural Network

⦁ Feed Forward Neural Network

⦁ Cost Function Formation

⦁ Applying Gradient Descent Algorithm

⦁ Backpropagation Algorithm & MathematicalModelling

⦁ Programming Flow for backpropagation algorithm

⦁ Use Cases of ANN

⦁ Programming SLNN using Python

⦁ Programming MLNN using Python

Real life cases with Python

Reviews

FAQs

Artificial intelligence is a branch of science that enables the machine to study the environment, collect data from past actions, and take wise decisions for a certain scenario. With this technology, we can build machines with self-learning capabilities and decision-making skills. The best example of artificial intelligence is autoplay mode in games, the autoplay of your youtube list, and the biggest miracle is auto driven cars.

The best example to learn the concept of machine learning is your smartphone. As the new update arrives your phone automatically asks to update it with the latest version, or checking your history provides you suggestion, this all is done with the help of machine learning. With technology, a machine is incorporated with smartness of understanding the data, history, and study the algorithm to update or improve the machine’s performance.

Artificial intelligence and machine learning are two distinct technologies satisfying distinguished requirements on various technical vertexes. Machine learning is considered as a subset of artificial intelligence. Machine learning is based on the concept of studying the data and system algorithm for improved experience whereas, artificial intelligence uses this technology to develop its own decisions for the problem.

To allow everyone to join our Top Ai-machine learning Training in USA, we offer online training sessions. This allows aspirants of any location to join us and become a skilled artificial intelligence expert. Also, few sessions are delivered in the classroom if the module requires professional assistance to perform it.

Each session delivered by our experts is recorded and access is granted to every aspirant of our institute allowing them to listen to any session they are willing. Also, our study materials have a detailed explanation of each module explained during the session. In case you need extra or written knowledge about the same then you can also access our study materials.

Our experts are available all the time for your career growth and we are happy to assist you anytime you need. In case of any query, you can contact our experts anytime.

Along with Best Ai-machine learning Course Training in USA, our experts also educate you to face the interview with excellent skills which makes you stand out of the crowd and make the highest possibilities of your selection. We also assist you with the best resume building making your profile look professional with a detailed explanation of your skills and knowledge.

Artificial intelligence and machine learning is a vast industry with several jobs with different specification and specialization, but a certified AI-Machine learning professional can apply for any as they are skilled with every facade of these technologies. Few of the jobs that you can apply after certification are listed below:

• Data Scientist
• Machine Learning Engineer
• Research Scientist
• Business Intelligence Developer
• Artificial intelligence scientist
• And more…

This certification will be valid for a lifetime. There is no expiry date of this certification and once you attain the certificate you will be validated as a certified professional lifelong.



Sample Certificate

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  • AI Machine Learning Training - Instructor LED Live Online Classes
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