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Artificial Intelligence Online Training in USA
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Artificial Intelligence Online Training in USA
Artificial intelligence enables machines to simulate and even surpass humans’ cognitive powers. From the invention of self-driving vehicles to the growth of smart assistants such as Siri and Alexa, AI is becoming more prevalent in daily life. As a result, several technology companies in various sectors are spending on artificial intelligence technologies. Some AI applications include speech recognition, natural language processing, machine learning, deep learning, etc.
Developers employ artificial intelligence to execute manual jobs more effectively, communicate with clients, recognize patterns, and solve issues. To get started with artificial intelligence, developers must have a foundation in mathematics and be familiar with algorithms. Apart from that, Artificial Intelligence Online Training in the USA can help you get familiar with the concepts of AI and equip you with the necessary skills to perform as an AI Professional. Have a look at Brittsoft’s Artificial Intelligence Online Training Course.
Artificial Intelligence Online Course Overview
In several companies, AI is evolving how employees work and boosting productivity. Hence, Brittsoft’s Artificial Intelligence Online Certification Training will look into the history, present, and future of artificial intelligence and its possible applications in the workplace. Employing deep learning and natural language processing, they will also be capable of making the right predictions and decisions based on unstructured input such as text, photos, and videos.
Brittsoft’s Artificial Intelligence Online Training helps learners to master the most in-demand skills with practical training using real-time project scenarios. Brittsoft’s Artificial Intelligence Certification demonstrates the technical proficiency achieved throughout the training program and will act as a great resume booster.
After the completion of our certification course, you will possess a thorough grasp of AI techniques and their real-world applications. Enroll with Brittsoft’s AI Online Certification training in the USA and start your journey as an AI engineer.
Who Can Take Up The Artificial Intelligence Online Training
The Artificial Intelligence course from Brittsoft is suitable for a variety of professions, including:
- Individuals interested in pursuing a career as an AI or Machine Learning Engineer.
- Data architects who are eager to learn about AI systems and algorithms.
- Data analysts who are enthusiastic about machine learning and artificial intelligence careers.
- Professionals interested in pursuing careers in artificial intelligence or machine learning.
- Specialists who wish to get a deeper grasp of their respective professions using Artificial Intelligence.
- Professionals in the software industry and fresh graduates looking for a career change.
Prerequisites Of The Artificial Intelligence Online Training Course
Learners in this AI course must be familiar with Python programming and basic statistics to comprehend the fundamental Machine Learning and AI principles.
The Benefits Of The Artificial Intelligence Online Training Course
Artificial intelligence has become a fundamental component of all sectors. Its algorithms and upcoming breakthroughs enable businesses to flourish by expanding their capabilities. The companies employ researchers and specialists who can use machine learning, computer vision, and data processing to existing data to determine the overall growth. AI has enormous potential but requires experts with the necessary skills to harness it. It is a lucrative career that requires ongoing learning. Hence, training is essential.
We often assume that AI is only viable in science-fiction movies, even though its applications are almost limitless. But if you take a moment to look around, you’ll see that most of us use AI technology in our daily lives without ever realizing it. The widespread acceptance of AI is because AI technology is more effective at processing massive quantities of data to fulfill a given job. The greater the number of firms that want to automate their work processes, the more they must depend on Artificial Intelligence. This discipline of Computer Science will be the expertise of the 21st century as it is replacing most people’s unproductive activities.
AI offers aspirants several opportunities to further their careers. The positions are highly skilled and need both a technical background and practical experience. Hence, a comprehensive training process and the development of theoretical and practical skills are necessary to enter the AI world. Brittsoft software training center will help you develop all the skills that will help you make a lucrative career in their demanding and ever-growing sector.
Career Opportunities After Artificial Intelligence Certification
Following the completion of Artificial Intelligence Certification from Brittfost, you may apply for the following positions:
- AI Expert
- AI Data Analyst
- ML Scientist
- ML Engineer
- Data Annotation Expert
- AI Application Engineer
- AI Research Scientist
- Data Scientist
Why Choose Artificial Intelligence Online Training From Brittsoft?
Brittsoft is the leading provider of Artificial Intelligence Online Training in the USA, and our expert instructors will help you comprehend every aspect of Artificial Intelligence much better. Moreover, we are the preferred choice of every learner since we are a legitimate course provider, with our curriculum being constantly updated as per the industry norms.
By training with Brittsoft, be assured that you will cover all the concepts in a highly explanatory way with real-time project scenarios. We aim to offer our students a holistic learning experience and ensure after the conclusion of the course; they possess every skill to start a career in AI. After completing AI Certification training online, a career in AI places you on the fast track to a competitive, ever-changing profession that is likely to develop significantly and far beyond. So fast-track your career with Brittsoft.
Artificial Intelligence Syllabus
Course Curriculum
Introduction to Data Science, AI and MI
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Overview of Data Science, AI, and ML
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Use Cases in Business and Scope
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Modeling Concepts
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CRISP-DM Method
R Essentials
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Programming
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Commands and Syntax of R
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Introduction to Deep Learning & AI
What is Deep Learning?
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Need for Data Scientists
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Foundation of Data Science
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what is business intelligence
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What is Data Analysis
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What is Data Mining
What is Machine Learning?
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Analytics vs Data Science
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Types of Analytics
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Need for Data Scientists
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Value Chain
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Lifecycle Probability
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Advantage of Deep Learning over Machine learning
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Value Chain
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Analytics Project Lifecycle
DATA
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Basis of Data Categorization
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Types of Data
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Data Collection Types
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Forms of Data & Sources
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Data Quality & Changes
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What is Data Architecture
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Components of Data Architecture
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OLTP vs OLAP
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How is Data Stored?
Big Data
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What is Big Data?
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What is Big Data?
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Big Data Architecture
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Big Data Technologies
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Big Data Challenge
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Big Data Requirements
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Map Reduce Framework
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Hadoop Ecosystem
Data Science Deep Dive
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What Data Science is
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Why Data Scientists are in demand
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What is a Data Product
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Data Science Skills
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Data Science Use Cases
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Data Acuqisition
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Data formats
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Resolution Techniques
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Data Transformation
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File format Conversions
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Annonymization
Python
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Python Overview
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About Interpreted Languages
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Starting Python
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Interpreter PATH
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Using the Interpreter
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Running a Python Script
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Using Variables
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Keywords
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String Formatting
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Lists
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Tuples
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Indexing and Slicing
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Iterating through a Sequence
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Functions for all Sequences
Operators and Keywords for Sequences
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The xrange() function
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List Comprehensions
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Generator Expressions
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Dictionaries and Sets.
Numpy & Pandas
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Learning NumPy
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Introduction to Pandas
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Creating Data Frames
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Creating Functions
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Slicing/Dicing Operations.
Deep Dive – Functions & Classes & Oops
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Functions
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Function Parameters
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Global Variables
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Variable Scope
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Alternate Keys
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Lambda Functions
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Classes & OOPs
Statistics
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What is Statistics
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Descriptive Statistics
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Central Tendency Measures
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The Story of Average
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Dispersion Measures
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Data Distributions
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Central Limit Theorem
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What is Sampling
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Why Sampling
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Sampling Methods
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Inferential Statistics
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What is Hypothesis testing
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Confidence Level
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Degrees of freedom
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what is pValue
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Chi-Square test
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What is ANOVA
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Correlation vs Regression
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Uses of Correlation & Regression
Machine Learning, Deep Learning & AI using Python
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Introduction
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ML Fundamentals
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ML Common Use Cases
Clustering
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Similarity Metrics
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Distance Measure Types
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Creating predictive models
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Understanding K-Means Clustering
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Understanding TF-IDF
Implementing Association rule mining
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What is Association Rules & its use cases?
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What is Recommendation Engine & it’s working?
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Recommendation Use-case
Understanding Process flow
Decision Tree Classifier
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How to build Decision trees
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What is Classification and its use cases?
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What is Decision Tree?
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Algorithm for Decision Tree Induction
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Creating a Decision Tree
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Confusion Matrix
Random Forest Classifier
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What is Random Forests
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Features of Random Forest
Naive Bayes Classifier.
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Introduction to Naïve Bayes Classifier
Problem Statement and Analysis
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Various approaches to solve a Data Science Problem
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Pros and Cons of different approaches and algorithms.
Linear Regression
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Linear Regression Overview
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Simple Linear Regression
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Multiple Linear Regression
Logistic Regression
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Logistic Regression Overview
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Data Partitioning
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Uni variate Analysis
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Bi variate Analysis
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Multicollinearity Analysis
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Model Building
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Model Validation
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Model Performance Assessment AUC & ROC curves
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Scorecard
Support Vector Machines
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Introduction to SVMs
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SVM History
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Vectors Overview
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Decision Surfaces
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Linear SVMs
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The Kernel Trick
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Non-Linear SVMs
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The Kernel SVM
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Describe Time Series data
Time Series Analysis
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Describe Time Series data
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Format your Time Series data
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Format your Time Series data
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Time Series data
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Time Series scenarios
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Choose the model according to the Time series scenario
Machine Learning
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Machine learning algorithms Python
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Various machine learning algorithms in Python
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Apply machine learning algorithms in Python
Feature Selection and Pre-processing
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How to select the right data
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Which are the best features to use
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Additional feature selection techniques
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A feature selection case study
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Preprocessing
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How to preprocess your data
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How to scale your data
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Feature Scaling Final Project
Which Algorithms perform best
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Highly efficient machine learning algorithms
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Bagging Decision Trees
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The power of ensembles
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Random Forest Ensemble technique
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Boosting – Adaboost
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Boosting ensemble stochastic gradient boosting
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A final ensemble technique
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Model selection cross validation score
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Introduction Model Tuning
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Parameter Tuning GridSearchCV
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A second method to tune your algorithm
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How to automate machine learning
Text Mining & NLP
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Sentimental Analysis
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Case study
PySpark and MLLib
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Introduction to Spark Core
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Spark Architecture
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Working with RDDs
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Introduction to PySpark
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Machine learning with PySpark – Mllib
Deep Learning & AI using Python Deep Learning & AI
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Case Study
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Deep Learning Overview
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The Brain vs Neuron
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Introduction to Deep Learning
Introduction to Artificial Neural Networks
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The Detailed ANN
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The Activation Functions
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How do ANNs work & learn
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Gradient Descent
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Stochastic Gradient Descent
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Backpropogation
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Understand limitations of a Single Perceptron
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Understand Neural Networks in Detail
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Illustrate Multi-Layer Perceptron
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Backpropagation – Learning Algorithm
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Why Deep Networks
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Why Deep Networks give better accuracy?
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Use-Case Implementation
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Understand How Deep Network Works?
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How Backpropagation Works?
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Illustrate Forward pass, Backward pass
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Different variants of Gradient Descent
Convolutional Neural Networks
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Convolutional Operation
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Relu Layers
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What is Pooling vs Flattening
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Full Connection
What are RNNs
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Recurrent neural networks rnn
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long short term memory neural networks
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LSTMs understanding LSTMs
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long short term memory neural networks lstm in python
Restricted Boltzmann Machine (RBM) and Autoencoders
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Restricted Boltzmann Machine
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Applications of RBM
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Introduction to Autoencoders
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Autoencoders applications
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Understanding Autoencoders
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Building a Autoencoder model
Tensorflow with Python
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Introducing Tensorflow
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Introducing Tensorflow
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Why Tensorflow?
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What is tensorflow?
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Tensorflow as an Interface
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Tensorflow as an environment
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Tensors
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Computation Graph
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Installing Tensorflow
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Tensorflow training
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Prepare Data
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Tensor types
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Loss and Optimization
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Running tensorflow programs
Building Neural Networks using Tensorflowf
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Tensors
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Tensorflow data types
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CPU vs GPU vs TPU
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Tensorflow methods
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Introduction to Neural Networks
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Neural Network Architecture
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Linear Regression example revisited
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The Neuron
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The MNIST Dataset
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Coding MNIST NN
Deep Learning using Tensorflow
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Deepening the network
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Images and Pixels
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How humans recognise images
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Convolutional Neural Networks
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ConvNet Architecture
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Overfitting and Regularization
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Max Pooling and ReLU activations
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Dropout
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Strides and Zero Padding
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Coding Deep ConvNets demo
Frequently asked questions (FAQ’s):
Why should you go for Artificial Intelligence Training Online?
Multiple industries and disciplines are seeing both vertical and horizontal growth in artificial intelligence, and within a few years, all the emerging technologies will be AI-based. Artificial intelligence is prevalent, and the demand for AI specialists, particularly those with talent and experience, is increasing. AI specialists are in more demand than ever. The best part is that the AI professional sector is teeming with many employment prospects, so you may undertake various duties and functions depending on the role, your expertise, and your interests.
Why choose Brittsoft in your journey to becoming an AI Expert?
Brittsoft’s primary objective is to acquaint you with all facets of AI so that you may begin a career as an AI engineer. Our AI certification course will instill the essential industry-relevant skills needed for a professional AI Engineer to progress in their career.
How good are Brittsoft's trainers in teaching the subject?
Our trainers have years of expertise, so be assured that you will be learning from the best. In addition to imparting basic and advanced skills, they will also give end-to-end mentoring and hands-on training.
Will there be a practical environment?
Yes. Our real-time project scenarios will help to learn concepts better.
Will there be a free demo session for Artificial Intelligence before the course starts?
Yes. Once you share your details for the demo, we will notify you of all the details.