Register today at: https://tinyurl.com/r2jegmz
Our mission is to Train and Certify the next generation of software developers and engineers worldwide in artificial intelligence and machine learning.
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Thursday, December 19, 2019
Applied Machine Learning Algorithms with Python – Take the next step in your AI career & income path
Software and Data Science colleagues, the Corporate Finance
Institute (CFI) has partnered with Machine Learning Edge to bring to you a
unique course on the applied machine learning algorithms for finance
professionals. This course will utilize the knowledge you learned from
the Python Fundamentals course to build machine learning
investor classifiers. We are going to explore real case studies from investment
banking and capital markets applications that are being used today to advise
Fortune 500 companies all over the world. By the end of the course you will be
able to: Identify overfit regression models, Compare different regularized
regression algorithms and decision tree ensemble algorithms Explain the confusion matrix and its relation to the ROC curve, Construct
training data sets, testing data sets, and model pipelines, perform advanced
data cleaning, exploration, and visualization, Engineer features based on
conditional relationships between existing features, and Build and finalize a
machine learning classifier. Core skills you will acquire are: 1) Data Cleaning
and Exploration, 2) Data Visualization with
Matplotlib and Seaborn,Seaborn Countplot Function, 4) Replace Function and Sparse
Classes, 5) Null Values, 6) Drop Null Values, 7) Boxplots with
Seaborn, 8) Saving Cleaned Data Table, 9) Regression Algorithms, 10) Liquidity
Regressor, and 12) Classification Algorithms Investor Classifiers I & II. Much career
success, Lawrence Wilson – Online Learning
Central
Saturday, December 14, 2019
Microsoft Professional Program - Data Science Orientation: Launch you Data Science career & income path
Attention all Data Scientists and Analysts, this program
is the first stop in the Data Science curriculum from Microsoft. It will help
you get started with the program, plan your learning schedule, and connect with
fellow students and teaching assistants. Along the way, you’ll get an
introduction to working with and exploring data using a variety of
visualization, analytical, and statistical techniques. Course Objectives: How
the Microsoft Data Science curriculum works, how to navigate the curriculum and
plan your course schedule, Basic data exploration and visualization techniques
in Microsoft Excel, and Foundational statistics that can be used to analyze
data. The program includes: 1) The Data Science Curriculum - Guide
to the Data Science Curriculum and Meet the Data Scientists, 2) Data Science
Fundamentals - Getting Started with Data, and 3) A Basic Introduction to
Statistics, and 4) Lab exploring Data with Excel. Much
career success, Lawrence Wilson – Artificial
Intelligence Academy
Tuesday, December 10, 2019
Data Science Specialization from John’s Hopkins University – Advance your professional & income potential
Data
Scientists and Software Engineers, launch Your Career in Data Science with this
introduction to data science, developed and taught by leading professors. Learning
Objectives include: Use R to clean, analyze, and visualize data, Navigate the
entire data science pipeline from data acquisition to publication, Use GitHub to
manage data science projects, perform regression analysis, least squares and
inference using regression models. Gain high demand, marketable skills in GitHub,
Machine Learning, R Programming and Regression Analysis. The training modules
which comprise this program are: 1) R Programming, 2) Getting and Cleaning Data,
3) Exploratory Data Analysis, 4) Reproducible Research, 5) Statistical
Inference, 6) Regression Models, 7) Practical Machine Learning, 8) Developing
Data Products, and 9) Data Science Capstone. Much
career success, Lawrence Wilson – Artificial
Intelligence Academy
Why
not enroll today? Visit: https://fxo.co/8MKj
Thursday, December 5, 2019
Model Tuning for Machine Learning – Advance your Artificial Intelligence career & income horizons
Machine
Learning Pros, this course will help your slingshot the predictive
capabilities of your models, far out-pacing the limits of out-of-box ML. From a
ground-up perspective, we'll understand how a model functions, the part of the
model that is able to fit the data on its' own, and how important additional
tuning and fitting by a trained ML engineer is. This module includes real-world
examples, coding assignments, and lots of in-depth exploration of how and why
model tuning should be done. If you understand the material in this course,
your models will improve, and the results you will be able to deliver will as
well! Exceed the performance of out-of-box machine learning models -
drastically! You will learn how to make sure you are getting the best
predictions your model can provide, if you should change your model, or even if
you could benefit from packaging multiple models together to get the best fit
for your data. This program is a crucial step towards becoming an expert data
scientist - moving from simply knowing how machine learning works, to
understanding on an intuitive level how these algorithms model data, and the state
of the art techniques that are available to improve their performance. Core
skill-based training modules include: 1)
Model Tuning Introduction, 2) Bagging, 3) Boosting, 4) Hyper-Parameters, and 5)
Stacking. Much
career success, Lawrence Wilson – Artificial
Intelligence Academy
Why
not enroll today? Visit: https://tinyurl.com/r8krgqq
Wednesday, December 4, 2019
Python Django Certification Training – Time to jumpstart your Python career & income opportunities
Software
Developers and Engineers, this Django course helps you gain expertise in Django
REST framework, Django Models, Django AJAX, Django jQuery etc. You'll
master Django web framework while working on real-time use cases and receive
Django certification at the end of the course. The Python Django Training and
Certification course is intended to help the learner obtain proficiency in
Python programming and develop real-world web applications using Django. This
course will cover both the basics and the advanced concepts like writing Python
scripts, file operations in Python, working with Databases, creating Views,
Templates, Forms, Models and REST APIs in Django. Django is a high level Python Web
framework that encourages rapid development and clean, pragmatic design. Built
by experienced developers, it takes care of much of the hassle of Web
development, so you can focus on writing your app without needing to reinvent
the wheel. It's free and open source. Learning objectives encompass: Know why
Python is popular, Setup Python environment, discuss flow control, and Write
your first Python program. Training segments include: 1) Learn about
Interpreted Languages, 2) List the Advantages/Disadvantages of Python, 3) Explore
Pydoc, 4) Start Python, 4) Discuss Interpreter PATH, 5) Use the Interpreter, 6)
Run a Python Script, 6) Use Python Scripts on UNIX/Windows, 7) Explore Python
Editors and IDEs. Much
career success, Lawrence Wilson – Artificial
Intelligence Academy
Why not
enroll today? Visit: https://fxo.co/8MLE
Tuesday, December 3, 2019
Recurrent and Recursive Neural Network Training – Ride the AI-ML tsunami to new income & career growth
Software
Developers & Engineers, this program is designed to offer the audience an
introduction to recurrent neural network, why and when use recurrent neural
network, what are the variants of recurrent neural network, use cases,
long-short term memory, deep recurrent neural network, recursive neural
network, echo state network, implementation of sentiment analysis using (Recurrent
Neural Network) RNN, and implementation of time series analysis using RNN. You
will gain a rich understanding of: Understand: What is a recurrent neural
network, Different types of networks such as recursive, echo state networks,
LSTM (Long Short-term Memory) and deep recurrent network, effectively choose
the right recurrent neural network model to solve real-world problems, and Implement
a simple recurrent neural network in Python. Core training modules which will
expand your marketable skills include: 1) Recurrent Neural Network, 2) Long-short
term memory, 3) Deep recurrent neural network, 4) Recursive neural network, 5) Echo
state networks, 6) Final exam, and 7) Implement Recurrent neural network step
by step in Python. Much
career success, Lawrence Wilson – Artificial
Intelligence Academy
Why not
enroll today? Visit: https://tinyurl.com/sxnks6d
Monday, December 2, 2019
Unsupervised Learning – Clustering: Punch your ticket to AI-ML career and earnings success
AI
& ML Professionals, this training program will focus on Clustering
algorithms and methods through practical examples and code. More importantly,
it will get you up and running quickly with a clear conceptual understanding.
The course has code and sample data for you to run and learn from. It also
encourages you to explore your own datasets using Clustering algorithms.
Prerequisites: Beginner knowledge of Python. It's used mostly for expository
reasons. You do not need to be a Python expert. Training modules include: 1) K-Means
Clustering, 2) Gaussian Mixture Models, 3) Hierarchical Clustering, 4) Methods
for Selecting Number of Clusters, 5) Evaluating the Quality of the Clustering,
5) Industry Applications, 6) Mini-Project: Pulling It All Together, and 6) Mini-Project
Solution Preview. Much
career success, Lawrence Wilson – Artificial
Intelligence Academy
Why
not enroll today? Visit: https://tinyurl.com/rm6rx5v
Saturday, November 23, 2019
AWS Certified Machine Learning-Specialty (ML-S) – Your ticket to new ML career and earnings opportunities
AI and ML Pros, this program covers the
essentials of Machine Learning on AWS and prepares a candidate to sit for the
AWS Machine Learning-Specialty (ML-S) Certification exam. Four main categories
are covered: Data Engineering, EDA (Exploratory Data Analysis), Modeling, and
Operations. The course offers the following tools to help users pass the exam: Each
lesson module includes a five-question multiple-choice quiz in the style of the
AWS ML exam. There are 39 quizzes, with a total of 195 questions. Practice Exam: A multiple-choice practice exam is
included in the style of the AWS ML exam. This exam totals 50 questions and
takes one hour to complete. You Will Learn How to perform data engineering
tasks on AWS* How to use Exploratory Data Analysis (EDA) to solve machine
learning problems on AWS, How to perform
machine learning modeling tasks on the AWS platform, How to operationalize machine learning models and
deploy them to production on the AWS platform, as well as How to think about the AWS Machine Learning-Specialty
(ML-S) Certification exam to optimize for the best outcome. Build high-demand skills
via the following training modules: 1) AWS Machine Learning-Specialty (ML-S) Certification, 2) Data
Engineering for ML on AWS, 3) Exploratory Data Analysis on AWS, 4) Machine
Learning Modeling on AWS, 5) Operationalize Machine Learning on AWS, 6) Create
a Production Machine Learning Application – AWS SageMaker, and 7) Case Studies including
Sagemaker Features, DeepLense Features, Kinesis Features, AWS Flavored Python and
Cloud9. Career
success awaits you, Lawrence Wilson – Artificial Intelligence Academy
Register
today at: https://tinyurl.com/wf3ffhl
Machine Learning with PyTorch Training – Take the next step in your professional and income growth
Software Developers and Engineers, this
intermediate level course with over six hours of video instruction will equip
you to Apply
various machine and deep learning techniques, Understand the difference between
various machine and deep learning libraries, create classifiers and Enhance an
existing classifier. It begins with
the basic concepts of machine and deep learning, then learn how it can be
applied to some popular problem domains. Training modules include: 1) What Is
Machine Learning? What Is Deep Learning? 2) Comparing Several Libraries, 3) Understanding PyTorch and using tensors, autograd, and NumPy interfaces, 4) Tasks with Networks such as feature classifiers,
regression prediction, clustering, adversarial networks and speech tagger, and
5) Enhancing an Image Classifiers with torchvision
models, Retrain pretrained models,
and modify network layers.Much
career success, Lawrence Wilson – Artificial Intelligence Academy
Why
not enroll today? Visit: https://tinyurl.com/szmb6cl
Thursday, November 14, 2019
Artificial Intelligence and Deep Learning with TensorFlow – Your ticket to earnings and career growth
Software Developers and Engineers, Deep Learning
in TensorFlow with Python Certification Training is curated by industry
professionals as per the industry requirements & demands. You will master
the concepts such as SoftMax function, Autoencoder Neural Networks, Restricted
Boltzmann Machine (RBM) and work with libraries like Keras & TFLearn. The
course has been specially curated by industry experts with real-time case. In this Deep Learning in TensorFlow with Python Training
we will learn about what is AI, explore neural networks, understand deep
learning frameworks, implement various machine learning algorithms using Deep
Networks. We will also explore how different layers in neural networks does
data abstraction and feature extraction using Deep Learning. This
training program consists of the following modules and related skills: 1) Introduction to
Deep Learning, 2) Understanding Neural Networks with TensorFlow, 3) Deep dive into
Neural Networks with TensorFlow, 4) Master Deep Networks, 5) Convolutional Neural Networks (CNN), 6) Recurrent Neural Networks (RNN), 7) Restricted
Boltzmann Machine (RBM) and Autoencoders, 8) Keras API, 8) TFLearn API, and 9) In-Class Capstone Project. Much
career success, Lawrence Wilson – Artificial Intelligence Academy
Why
not enroll today? Visit: https://fxo.co/8I4g
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