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Hands-On Introduction to Artificial Intelligence, AI Programming & Machine Learning (TTML5503)

4.6 out of 5 rating Last updated 14/11/2024   English

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Duration

3 Days

18 CPD hours

Overview

This “skills-centric” course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Throughout the course students will learn about and explore popular machine learning algorithms, their applicability and limitations; practical application of these methods in a machine learning environment; and practical use cases and limitations of algorithms.
Working in a hands-on lab environment led by our expert instructor, attendees will explore:
Getting Started with Python & Jupyter
Statistics and Probability Refresher, and Python Practice
Matplotlib and Advanced Probability Concepts
Algorithm Overview
Predictive Models
Applied Machine Learning
Recommender Systems
Dealing with Data in the Real World
Machine Learning on Big Data (with Apache Spark)
Testing and Experimental Design
GUIs and REST: Build a UI & REST API for your Models

Description

This hands-on, foundational course explores the fast-changing field of artificial intelligence (AI) programming, logic, search, machine learning, and natural language understanding. You will learn current AI / ML methods, tools, and techniques, their application to computational problems, and their contribution to understanding intelligence. You will leave this course with a practical understanding of core skills, methods and algorithms, and be prepared for continued learning in next-level, more advanced follow on courses that dive deeper into specific skillsets or tools.

Getting Started
  • Installing a Python Data Science Environment
  • Using and understanding IPython (Jupyter) Notebooks
  • Python basics - Part 1
  • Understanding Python code
  • Importing modules
  • Python basics - Part 2
  • Running Python scripts
Statistics and Probability Refresher, and Python Practice
  • Types of data
  • Mean, median, and mode
  • Using mean, median, and mode in Python
  • Standard deviation and variance
  • Probability density function and probability mass function
  • Types of data distributions
  • Percentiles and moments
Matplotlib and Advanced Probability Concepts
  • A crash course in Matplotlib
  • Covariance and correlation
  • Conditional probability
  • Bayes' theore
Algorithm Overview
  • Data Prep
  • Linear Algorithms
  • Non-Linear Algorithms
  • Ensembles
Predictive Models
  • Linear regression
  • Polynomial regression
  • Multivariate regression and predicting car prices
  • Multi-level models
Applied Machine Learning with Python
  • Machine learning and train/test
  • Using train/test to prevent overfitting of a polynomial regression
  • Bayesian methods - Concepts
  • Implementing a spam classifier with Na‹ve Bayes
  • K-Means clustering
Recommender Systems
  • What are recommender systems
  • Item-based collaborative filtering
  • How item-based collaborative filtering works
  • Finding movie similarities
  • Improving the results of movie similarities
  • Making movie recommendations to people
  • Improving the recommendation results
More Applied Machine Learning Techniques
  • K-nearest neighbors - concepts
  • Using KNN to predict a rating for a movie
  • Dimensionality reduction and principal component analysis
  • A PCA example with the Iris dataset
  • Data warehousing overview
  • Reinforcement learning
Dealing with Data in the Real World
  • Bias/variance trade-off
  • K-fold cross-validation to avoid overfitting
  • Data cleaning and normalization
  • Cleaning web log data
  • Normalizing numerical data
  • Detecting outliers
Apache Spark - Machine Learning on Big Data
  • Installing Spark
  • Spark introduction
  • Spark and Resilient Distributed Datasets (RDD)
  • Introducing MLlib
  • Decision Trees in Spark with MLlib
  • K-Means Clustering in Spark
  • TF-IDF
  • Searching Wikipedia with Spark MLlib
  • Using the Spark 2.0 DataFrame API for MLlib
Testing and Experimental Design
  • A/B testing concepts
  • T-test and p-value
  • Measuring t-statistics and p-values using Python
  • Determining how long to run an experiment for
  • A/B test gotchas
GUIs and REST
  • Build a UI for your Models
  • Build a REST API for your Models
What the Future Holds
Additional course details:

Nexus Humans Hands-On Introduction to Artificial Intelligence, AI Programming & Machine Learning (TTML5503) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward.

This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts.

Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.

While we feel this is the best course for the Hands-On Introduction to Artificial Intelligence, AI Programming & Machine Learning (TTML5503) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.

Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

FAQ for the Hands-On Introduction to Artificial Intelligence, AI Programming & Machine Learning (TTML5503) Course

Available Delivery Options for the Hands-On Introduction to Artificial Intelligence, AI Programming & Machine Learning (TTML5503) training.
  • Live Instructor Led Classroom Online (Live Online)
  • Traditional Instructor Led Classroom (TILT/ILT)
  • Delivery at your offices in London or anywhere in the UK
  • Private dedicated course as works for your staff.
How many CPD hours does the Hands-On Introduction to Artificial Intelligence, AI Programming & Machine Learning (TTML5503) training provide?

The 3 day. Hands-On Introduction to Artificial Intelligence, AI Programming & Machine Learning (TTML5503) training course give you up to 18 CPD hours/structured learning hours. If you need a letter or certificate in a particular format for your association, organisation or professional body please just ask.

What is the correct audience for the Hands-On Introduction to Artificial Intelligence, AI Programming & Machine Learning (TTML5503) training?

Students attending this class should have a grounding in Enterprise computing. Students attending this course should be familiar with Enterprise IT, have a general (high-level) understanding of systems architecture, as well as some knowledge of the business drivers that might be able to take advantage of applying AI.

Do you provide training for the Hands-On Introduction to Artificial Intelligence, AI Programming & Machine Learning (TTML5503).

Yes we provide corporate training, dedicated training and closed classes for the Hands-On Introduction to Artificial Intelligence, AI Programming & Machine Learning (TTML5503). This can take place anywhere in UK including, England, Scotland, Cymru (Wales) or Northern Ireland or live online allowing you to have your teams from across UK or further afield to attend a single training event saving travel and delivery expenses.

What is the duration of the Hands-On Introduction to Artificial Intelligence, AI Programming & Machine Learning (TTML5503) program.

The Hands-On Introduction to Artificial Intelligence, AI Programming & Machine Learning (TTML5503) training takes place over 3 day(s), with each day lasting approximately 8 hours including small and lunch breaks to ensure that the delegates get the most out of the day.

Why are Nexus Human the best provider for the Hands-On Introduction to Artificial Intelligence, AI Programming & Machine Learning (TTML5503)?
Nexus Human are recognised as one of the best training companies as they and their trainers have won and hold many awards and titles including having previously won the Small Firms Best Trainer award, national training partner of the year for UK on multiple occasions, having trainers in the global top 30 instructor awards in 2012, 2019 and 2021. Nexus Human has also been nominated for the Tech Excellence awards multiple times. Learning Performance institute (LPI) external training provider sponsor 2024.
Is there a discount code for the Hands-On Introduction to Artificial Intelligence, AI Programming & Machine Learning (TTML5503) training.

Yes, the discount code PENPAL5 is currently available for the Hands-On Introduction to Artificial Intelligence, AI Programming & Machine Learning (TTML5503) training. Other discount codes may also be available but only one discount code or special offer can be used for each booking. This discount code is available for companies and individuals.

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Training Insurance Included!

When you organise training, we understand that there is a risk that some people may fall ill, become unavailable. To mitigate the risk we include training insurance for each delegate enrolled on our public schedule, they are welcome to sit on the same Public class within 6 months at no charge, if the case arises.

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