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

Register today at: https://tinyurl.com/r2jegmz

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   

Why not enroll today? Visit: https://tinyurl.com/ssnl4gu

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

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    

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

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

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  

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

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

Data Engineering with Python and AWS Lambda – Career and income success await you

Data Engineering colleagues, AWS Lambda is an event-driven, serverless computing platform provided by Amazon as a part of the Amazon Web Services. It is a computing service that runs code in response to events and automatically manages the computing resources required by that code. AWS Lambda supports securely running native Linux executables. Data Engineering with Python and AWS Lambda LiveLessons shows users how to build complete and powerful data engineering pipelines in the same language that Data Scientists use to build Machine Learning models. By embracing serverless data engineering in Python, you can build highly scalable distributed systems on the back of the AWS backplane. Users learn to think in the new paradigm of serverless, which means to embrace events and event-driven programs that replace expensive and complicated servers. This program will equip you to: Perform Data Engineering tasks on AWS, develop with Cloud9, Write AWS Lambda functions in Python, Implement cloud-native Data Engineering patterns, i.e. serverless, and Architect event-driven architectures on the AWS platform using SQS, Python Lambda, and other AWS technologies. Much career success, Lawrence Wilson – Artificial Intelligence Academy   

Enroll today at: https://tinyurl.com/y6ct4jzt      

Integrated Program in Big Data and Data Science Maters Certificate – Your gateway to new career & income potential

Colleagues, mastering the field of data science begins with understanding and working with the core technology frameworks used for analyzing big data. You’ll learn the developmental and programming frameworks Hadoop and Spark used to process massive amounts of data in a distributed computing environment, and develop expertise in complex data science algorithms and their implementation using R, the preferred language for statistical processing. The insights you will glean from the data are presented as consumable reports using data visualization platforms such as Tableau. The five courses in this program are: 1) Data Science Certification Training - R Programming, 2) Big Data Hadoop and Spark Developer, 3) Tableau Desktop 10 Qualified Associate Training, 4) Data Science with Python, and 5) Machine Learning. Electives include Data Science with SAS Training, Apache Spark and Scala, MongoDB Developer and Administrator, Apache Cassandra, and many more. Much career success,  Lawrence Wilson – Artificial Intelligence Academy   

Why not enroll today? Visit: https://tinyurl.com/yxvxgaq2

TensorFlow in Practice Specialization – Your gateway to leadership & income growth in Artificial Intelligence

AI and ML colleagues, discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework. TensorFlow is a free and open-source software library for dataflow and differentiable programming across a range of tasks. It is a symbolic math library, and is also used for machine learning applications such as neural networks. In this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. Core skills you will gain include: Computer Vision, Convolutional Neural Network, Machine Learning, Natural Language Processing. The four courses which comprise this program are: 1) Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning, 2) Convolutional Neural Networks in TensorFlow, 3) Natural Language Processing in TensorFlow, and 4) Sequences, Time Series and Prediction. Career success awaits you,  Lawrence Wilson – Artificial Intelligence Academy   

Enroll today at: https://fxo.co/7j8D     

Microsoft Cloud Workshop: Cognitive Services and Deep Learning – Expand your career & income horizons

AI and ML Pros, you will learn to combine both pre-built artificial intelligence (AI) (in the form of various Cognitive Services) with custom AI (in the form of services built and deployed with Azure Machine Learning services). You will learn to create intelligent solutions atop unstructured text data by designing and implementing a text analytics pipeline along with how to build a binary classifier using a simple neural network that can be used to classify the textual data. Also, you will learn how to deploy multiple kinds of predictive services using Azure Machine Learning and learn to integrate with the Computer Vision API and the Text Analytics API from Cognitive Services. You will be equipped with core skills in: Azure Machine Learning Services, Cognitive Services, Computer Vision API, Text Analytics API and TensorFlow. This program is comprised of two training modules: 1) Whiteboard Design Session - Cognitive Services and Deep Learning - Review the customer case study, design a proof of concept solution, and Present the solution; and 2) Hands-on lab - Cognitive Services and Deep Learning - Setup Azure Machine Learning accounts, Deploy the Summarizer as a Service, Applying TensorFlow, and Completing the solution. Much career success,  Lawrence Wilson – Artificial Intelligence Academy   

Why not enroll today? Visit: https://tinyurl.com/y4baj9yv      

Data Structures and Algorithms Specialization – Advance your Data Science career and earnings potential

Data Science Pros, this specialization is a combination of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice. You will gain tangible skills in Debugging Software, Testing Algorithms, Data Structure, Computer Programming. No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview. For each algorithm you develop and implement, we designed multiple tests to check its correctness and running time - you will have to debug your programs without even knowing what these tests are! It may sound difficult, but we believe it is the only way to truly understand how the algorithms work and to master the art of programming. The specialization contains two real-world projects: Big Networks and Genome Assembly. The six courses which comprise this program are: 1) Algorithmic Toolbox, 2) Data Structures, 3) Algorithms on Graphs, 4) Algorithms on Strings, 5) Advanced Algorithms and Complexity, and 6) Genome Assembly Programming Challenge. Much career success,  Lawrence Wilson – Artificial Intelligence Academy   

Enroll today at: https://fxo.co/7tIQ

Introduction to Artificial Intelligence – Earn your Artificial Intelligence Graduate Certificate and advance your career

Software Developers and Engineers, did you know that The average salary for Artificial Intelligence Engineer is $115,000 per year? Well, this training program provides an overview of AI to learn how Machine Learning provides the foundation for AI, and how you can leverage cognitive services in your apps. Discover how machine learning can be used to build predictive models for AI. Learn how software can be used to process, analyze, and extract meaning from natural language; and to process images and video to understand the world the way we do. Find out how to build intelligent bots that enable conversational communication between humans and AI systems. This course also helps students for Artificial Intelligence Graduate Certificate exam. You will be equipped to: 1) Build simple machine learning models with Azure Machine Learning, 2) Use Python and Microsoft cognitive services to work with text, speech, images, and video, 3) Use the Microsoft Bot Framework to implement conversational bots, 4) Implement Machine Learning Fundamentals and Azure Machine Learning Studio, 4) Get Started with Text Processing, Introduction to Natural Language Processing, Language Understanding Intelligent Service, 5) Use Computer Vision with Image Processing, and 6) Conversation as a Platform - Introduction to Bots and Building Intelligent Bots. Much career success, Lawrence Wilson - Artificial Intelligence Academy

Register today at: https://tinyurl.com/y5spmfvn     

Programming with Python for Data Science

Data Science colleagues, this program was developed in partnership with Coding Dojo and targets individuals who have introductory level Python programming experience. The course teaches students how to start looking at data with the lens of a data scientist by applying efficient, well-known mining models in order to unearth useful intelligence, using Python, one of the popular languages for Data Scientists. Topics include data visualization, feature importance and selection, dimensionality reduction, clustering, and classification. All of the data sets used in this course are gathered live-data or inspired by real-world domains that can benefit from machine learning. The course objectives are: What machine learning is and the types of problems it is adept to solving, how to represent raw data in a manner conducive to deriving valuable information, how to use various data visualization techniques, how to use principal component analysis and isomap intelligently to simplify your data, how to apply supervised learning algorithms to your data, and Concepts such as model selection, pipelining, and cross validation. Training modules include: 1) Data and Features, 2) Exploring Data, 3) Transforming Data, 4) Data Modeling, 5) Evaluating Data, and 6) Final Exam and Course Wrap-Up. Much career success, Lawrence Wilson - Artificial Intelligence Academy

Enroll today at: https://tinyurl.com/y3r53dv3     

Analyzing Big Data with Microsoft R Server and Client – Ramp-up your career and income potential

Colleagues, Microsoft R Open is the enhanced distribution of R from Microsoft Corporation. It is a complete open source platform for statistical analysis and data science. The main purpose of the course is to give students the ability to use Microsoft R Server to create and run an analysis on a large dataset, and show how to utilize it in Big Data environments, such as a Hadoop or Spark cluster, or a SQL Server database. After completing this course, students will be able to: Explain how Microsoft R Server and Microsoft R Client work, Use R Client with R Server to explore big data held in different data stores, Visualize data by using graphs and plots, Transform and clean big data sets, Implement options for splitting analysis jobs into parallel tasks, Build and evaluate regression models generated from big data, Create, score, and deploy partitioning models generated from big data, and Use R in the SQL Server and Hadoop environments. You will gain high demand, marketable skills in: 1) Microsoft R Server and R Client, 2) Exploring Big Data, 3) Visualizing Big Data, 4) Processing Big Data, 5) Parallelizing Analysis Operations, 6) Creating and Evaluating Regression Models, 7) Creating and Evaluating Partitioning Models, and 8) Processing Big Data in SQL Server and Hadoop. Career success awaits you, Lawrence Wilson - Artificial Intelligence Academy

Register today at: https://tinyurl.com/y3e3nfud   

Deep Learning Specialization - Master Deep Learning & Break into Artificial Intelligence (New career & earnings opportunities)

Colleagues, in five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.  You will gain valuable skills in: Tensorflow, Convolutional Neural Network, Artificial Neural Network, and Deep Learning. The five courses in in this Specialization include: Neural Networks and Deep Learning, Improving Deep Learning Networks with Hyperparameter Tuning, Regularization and Optimization, Structuring Deep Learning Projects, Convolution Neural Networks, and Sequence Model. Much career success, Lawrence Wilson - Artificial Intelligence Academy

Register today at: https://fxo.co/7iYo

Take your Machine Learning and Cloud career to the next level – Machine Learning Fundamentals with Amazon SageMaker on AWS

Colleagues, this Machine Learning Fundamentals with Amazon SageMaker on AWS LiveLessons training program teaches the fundamental concepts and taxonomy for machine learning. The program provides a high-level overview of the tools, languages, and libraries that Amazon SageMaker uses, including the AWS console, Jupyter Notebooks, languages such as Python, and interactive data analysis libraries such as Pandas. This course will also discuss common algorithms and models used with ML and Amazon SageMaker, which will help determine the appropriate model to use in specific business scenarios. Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly. Amazon SageMaker is a fully-managed service that covers the entire machine learning workflow to label and prepare your data, choose an algorithm, train the model, tune and optimize it for deployment, make predictions, and take action. This program is comprised of five training modules: 1) Amazon SageMaker, 2) Fundamentals Machine Learning Concepts with Practical Applications, 3) Amazon SageMaker Supporting Tools and Technologies, 4) Data and Model Management with Amazon SageMaker, and 5) Predictions and Deployment with Amazon SageMaker. Much career success, Lawrence Wilson – Artificial Intelligence Academy

Enroll today at: https://tinyurl.com/y25f8sgr    

Microsoft Cloud Data Science with Azure Machine Learning Certification – Take your career & income to the next level

AI and Cloud Pros, did you know that the average salary for a Machine Learning expert with Microsoft Azure skills is $128k per year. Explore and use R and R Server with Azure Machine Learning, and explain how to deploy & configure SQL Server to support R services. This training program teaches you how to use Azure HDInsight for big data processing, data mining, real-time analytics, and predictive modeling. The main purpose of the course is to give students the ability to analyze and present data by using Azure Machine Learning, and to provide an introduction to the use of machine learning with big data tools such as HDInsight and R Services. This course also prepares the students for the Microsoft 70-774: Perform Cloud Data Science with Azure Machine Learning certification exam. You will be equipped for Azure Machine Learning, Managing Datasets, Preparing Data for use with Azure Machine Learning, Using Feature Engineering and Selection, Building Azure Machine Learning Models, Classification and Clustering with Azure machine learning models, Using R and Python with Azure Machine Learning, Initializing and Optimizing Machine Learning Models, Using Azure Machine Learning Models, Cognitive Services, HDInsight, and R Services. Much career success, Lawrence Wilson – Artificial Intelligence Academy

Register today at: https://tinyurl.com/y56g5gj2

Machine Learning and AI with Python and Jupyter Notebook Training - Accelerate your earnings & career potential

Artificial Intelligence colleagues, this valuable training program includes over eighth hours of Video Instruction. Learn just the essentials of Python-based Machine Learning on AWS and Google Cloud Platform with Jupyter Notebook. This LiveLesson video course shows how AWS and Google Cloud Platform can be used to solve real-world business problems in Machine Learning and AI. This program will equip you to: Understand Data Science concepts and Python fundamentals for Machine Learning, how to develop a Data Engineering API with Flask and Pandas, walk through of EDA (exploratory data analysis), Explain Python and AWS, Python programming and the Google Cloud Platform. Much career success, Lawrence Wilson – Artificial Intelligence Academy

Register today at: https://tinyurl.com/yxq5pf2s

Attention Machine Learning & Cloud Professionals: Data Engineering, Big Data, and Machine Learning on GCP Specialization – Time to jumpstart your career income growth

Software Developers, this Specialization program represents the nexus of Machine Learning and Cloud Computing – two of the fastest growing segments of the global IT sector. The program teaches the following skills: Design and build data processing systems on Google Cloud Platform, Leverage unstructured data using Spark and ML APIs on Cloud Dataproc, Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow, derive business insights from extremely large datasets using Google BigQuery, Train, evaluate and predict using machine learning models using Tensorflow and Cloud ML, and Enable instant insights from streaming data. The five courses which comprise this Specialization are: 1) Google Cloud Platform Big Data and Machine Learning Fundamentals, 2) Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform, 3) Serverless Data Analysis with Google BigQuery and Cloud Dataflow, 4) Serverless Machine Learning with Tensorflow on Google Cloud Platform, and 5) Building Resilient Streaming Systems on Google Cloud Platform. Career success awaits you, Lawrence Wilson - Artificial Intelligence Academy.

Enroll today at: https://fxo.co/6Hnx

Join over 2.5m+ professionals who have enrolled in the Machine Learning program from Stanford University

Software Developers and Engineers, this program provides a broad introduction to machine learning, data mining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you will also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas. You will gain valuable skills in: Logistic Regression, Artificial Neural Network, Machine Learning (ML),  Algorithms, Machine Learning. Training Modules include: Linear Regression with One Variable, Linear Algebra Review, Linear Regression with Multiple Variables, Octave/Matlab Tutorial, Logistic Regression, Regularization, Neural Networks: Representation, Neural Networks: Learning, Advice for Applying Machine Learning, Machine Learning System Design, Support Vector Machines, Unsupervised Learning, Dimensionality Reduction, Anomaly Detection, Recommender Systems, Large Scale Machine Learning, Application Example: Photo OCR … plus multiple Electives. Much career success, Lawrence Wilson – Artificial Intelligence Academy

Enroll now at: https://fxo.co/87TG         

Attention all AI Pros: Artificial Intelligence Master’s Program from IBM & Simplilearn – Advance your career & earnings

Colleagues, this Artificial Intelligence Master’s Program, co-developed with IBM, gives training on the skills required for a successful career in AI. The average annual compensation for AI Engineer’s ranges from $92k-$149k. Throughout this exclusive training program, you will master Deep Learning, Machine Learning. Upon completion of this Master's Program, you will receive the certificates from IBM and Simplilearn in the Artificial Intelligent courses on the learning path. These certificates will testify to your skills as an expert in Artificial Intelligence. This program will equip you to: Understand the meaning, purpose, scope, stages, applications, and effects of Artificial Intelligence, Build your own intelligent agents, applying them to create practical Artificial Intelligence projects, including games, machine learning models, logic constraint satisfaction problems, knowledge-based systems, probabilistic models, and agent decision-making functions, Master the essential concepts of Python programming, including data types, tuples, lists, dicts, basic operators, and functions, Write your own Python scripts and perform basic hands-on data analysis using Jupyter notebooks, Understand Data Science processes: data wrangling, data exploration, data visualization, hypothesis building, and testing, as well as TensorFlow. Much career success, Lawrence Wilson – Artificial Intelligence Academy

Register today at https//simplilearn.sjv.io/c/1451732/571535/5076    

Data Science at Scale Training – Your ticket to new career and income opportunities

Attention All Data Scientists, gain skills in scaleable data management, evaluate big data technologies, and design effective visualizations. This Specialization covers intermediate topics in data science. You will gain hands-on experience with scaleable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts. You will also learn to visualize data and communicate results, and you’ll explore legal and ethical issues that arise in working with big data. In the final Capstone Project, developed in partnership with the digital internship platform Coursolve, you’ll apply your new skills to a real-world data science project. You will gain core skills in Python and R programming, Mapreduce and SQL. This program is organized into four courses: Data Manipulation at Scale - Systems and Algorithms, Practical Predictive Analytics - Models and Methods, Communicating Data Science Results, and the Data Science at Scale - Capstone Project. Much career success, Lawrence Wilson - Artificial Intelligence Academy

Register today at https://fxo.co/83H0

Data Science Specialization from John’s Hopkins University - Accelerate your career and income potential

Colleagues, this Data Science Specialization from one of America’s top universities will equip you to Use R to clean, analyze, and visualize data, Use GitHub to manage data science projects, Navigate the entire data science pipeline from data acquisition to publication, and Perform regression analysis, least squares and inference using regression models.This Specialization includes ten courses:  Data Scientist’s Toolbox, R Programming, Cleaning Data, Exploratory Data Analysis, Reproducible Data, Statistical Inference, Regression Models, Practical Machine Learning, Developing Data Products  and a Data Science Capstone Project. Much career success, Lawrence Wilson – Artificial Intelligence Academy

Register today at https://fxo.co/7ux5

Enroll in the “Principles of Machine Learning” Microsoft Professional Program to boost your careers and earnings

Software and Engineering Pros, in the Principles of Machine Learning from Microsoft you will gain hands-on experience building and deriving insights from machine learning models using R, Python, and Azure Machine Learning. This course is part of the Microsoft Professional Program Certificate in Data Science and Microsoft Professional Program in Artificial Intelligence. Machine learning uses computers to run predictive models that learn from existing data in order to forecast future behaviors, outcomes, and trends. In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. You will learn how to build and derive insights from these models using R, Python, and Azure Machine Learning. The five training modules in this program are: 1) Explore classification, 2) Regression in machine learning, 3) How to improve supervised models, 4) Details on non-linear modeling, and 5) Recommender systems. New income & career opportunities await you, Lawrence Wilson – Artificial Intelligence Academy

Register today at https://fxo.co/6Fqt