Natural Language Processing with Python Certification Training – Accelerate your machine learning career

Software colleagues, Natural Language Processing with Python course will take you through the essentials of text processing all the way up to classifying texts using Machine Learning algorithms. You will learn various concepts such as Tokenization, Stemming, Lemmatization, POS tagging, Named Entity Recognition, Syntax Tree Parsing and so on using Python’s most famous NLTK package. Once you delve into NLP, you will learn to build your own text classifier using the Naïve Bayes algorithm. This course is for anyone who works with data and text– with good analytical background and little exposure to Python Programming Language. It is designed to help you understand the important concepts and techniques used in Natural Language Processing using Python Programming Language.  You will be able to build your own machine learning model for text classification. Towards the end of the course, we will be discussing various practical use cases of NLP in python programming language to enhance your learning experience. You will gain high demand, marketable skills in: 1) Introduction to Text Mining and NLP, 2) Extracting, Cleaning and Pre-processing and Machine Learning, 3) Analyzing Sentence Structure, 3) Text Classification – I & II, and 4) In Class Project on Sentiment Classification.

Register today at: https://fxo.co/8m2j

Career success awaits you, Lawrence Wilson – Artificial Intelligence Academy

What are the Top 4 TensorFlow and PyTorch Training Programs to Accelerate your Python career in 2020?

Software colleagues, the dramatic growth in Python programming has boost the average annual salary for developers to $120k in the US according to DAXX (https://tinyurl.com/y6gb3dbd) while increasing the demand for compatible math libraries. TensorFlow was developed by Google Brain for internal use at Google use. It was then released under the Apache License 2.0 on November 9, 2015 A number of pieces of Deep Learning software are built on top of PyTorch, which reached a release launched in January 2020. Our top picks for TensorFlow training include: Deep Learning with TensorFlow: Application Training of Deep Neural Networks to Machine Learning (https://tinyurl.com/qoy6pvt) and Artificial Intelligence and Deep Learning with TensorFlow (https://fxo.co/8I4g). Our number 1 choice for PyTorch education is Machine Learning with PyTorch (https://tinyurl.com/szmb6cl). Finally, we highly recommend a hybrid training program entitled Deep Learning with TensorFlow, Keras, and PyTorch (https://tinyurl.com/yxxqzr9t). Now that PyTorch has reached a stable release we expect many more training programs to be launched this year.

Enroll today at the links above.

Much career success, Lawrence Wilson – Artificial Intelligence Academy

Deep Learning with TensorFlow, Keras, and PyTorch Training

Colleagues, Deep Learning with TensorFlow, Keras, and PyTorch is an introduction to that brings the revolutionary machine-learning approach to life with interactive demos from the most popular deep learning library, TensorFlow, and its high-level API, Keras, as well as the hot new library PyTorch. Essential theory is whiteboarded to provide an intuitive understanding of deep learning’s underlying foundations; i.e., artificial neural networks. Paired with tips for overcoming common pitfalls and hands-on code run-throughs provided in Python-based Jupyter Notebooks, this foundational knowledge empowers individuals with no previous understanding of neural networks to build powerful state-of-the-art deep learning models. Learn how to: Build deep learning models in all the major libraries: TensorFlow, Keras, and PyTorch, Understand the language and theory of artificial neural networks, Excel in machine vision, natural language processing, and reinforcement learning, Create algorithms with state-of-the-art performance by fine-tuning model architectures, and Complete your own Deep Learning projects. Core skills you will gain include: 1) Deep Learning and Artificial Intelligence, 2) How Deep Learning Works, 3) High-Performance Deep Learning Networks, 4) Convolutional Neural Networks, and 5) Moving Forward with Your Own Deep Learning Projects (Capstone Project).

Register today at: https://tinyurl.com/yxxqzr9t

Career success awaits you, Lawrence Wilson – Artificial Intelligence Academy

Deep Learning with TensorFlow: Application Training of Deep Neural Networks to Machine Learning Tasks

Machine Learning colleagues, take your career and income to the next level. This training program includes over 6 hours of video instruction - Deep Learning with TensorFlow is an introduction to Deep Learning that bring the revolutionary machine-learning approach to life with interactive demos from the most popular Deep Learning library, TensorFlow, and its high-level API, Keras. Essential theory is whiteboarded to provide an intuitive understanding of Deep Learning’s underlying foundations, i.e., artificial neural networks. Paired with tips for overcoming common pitfalls and hands-on code run-throughs provided in Python-based Jupyter Notebooks. Keras is an open-source neural-network library written in Python.  The Jupyter Notebook is an interactive computing environment that enables users to author notebook documents. The five learning modules include: 1) Introduction to Deep Learning, 2) How Deep Learning Works, 3) Convolutional Networks, 4) Introduction to TensorFlow, and 5) Improving Deep Networks.

Register today at: https://tinyurl.com/qoy6pvt

Career success awaits you, Lawrence Wilson – Artificial Intelligence Academy

Deep Learning with TensorFlow, Keras, and PyTorch Training

Colleagues, Deep Learning with TensorFlow, Keras, and PyTorch LiveLessons is an introduction to that brings the revolutionary machine-learning approach to life with interactive demos from the most popular deep learning library, TensorFlow, and its high-level API, Keras, as well as the hot new library PyTorch. Essential theory is whiteboarded to provide an intuitive understanding of deep learning’s underlying foundations; i.e., artificial neural networks. Paired with tips for overcoming common pitfalls and hands-on code run-throughs provided in Python-based Jupyter Notebooks, this foundational knowledge empowers individuals with no previous understanding of neural networks to build powerful state-of-the-art deep learning models. Learn how to: Build deep learning models in all the major libraries: TensorFlow, Keras, and PyTorch, Understand the language and theory of artificial neural networks, Excel in machine vision, natural language processing, and reinforcement learning, Create algorithms with state-of-the-art performance by fine-tuning model architectures, and Complete your own Deep Learning projects. Core skills you will gain include: 1) Deep Learning and Artificial Intelligence, 2) How Deep Learning Works, 3) High-Performance Deep Learning Networks, 4) Convolutional Neural Networks, and 5) Moving Forward with Your Own Deep Learning Projects (Capstone Project).

Register today at: https://tinyurl.com/yxxqzr9t

Career success awaits you, Lawrence Wilson – Artificial Intelligence Academy

Discover the Top 5 Training Programs for 2020 to Advance Your Machine Learning Career

ML and AI colleagues, we have hand-picked five of the most valuable Machine Learning programs from our repository that can boost your career and earnings opportunities in the New Year. Some 2.7m+ students have enrolled in the Machine Learning Program from Stanford University. Next, the Microsoft Principles of Machine Learning course is part of the Microsoft Professional Program for AI. For a vendor-neutral approach the Machine Learning Specialization from the University of Washington receives high marks in the industry. The Applied Machine Learning Algorithms with Python program will strengthen your programming and mathematics skills. For cloud computing professionals we have selected the Microsoft Cloud Data Science with Azure Machine Learning Certification program. Finally, with the explosive growth of Python code libraries we decided to include Machine Learning with PyTorch Training for you over-achievers. You may wish to enroll in or several of these programs based upon your career goals and skillset.   

Your success begins today, Lawrence Wilson - Artificial Intelligence Academy

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.

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

Much career success, Lawrence Wilson – Artificial Intelligence Academy   

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.

Register today at: https://tinyurl.com/wf3ffhl 

Career success awaits you,  Lawrence Wilson – Artificial Intelligence Academy   

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.

Why not enroll today? Visit: https://tinyurl.com/szmb6cl

Much career success,  Lawrence Wilson – Artificial Intelligence Academy   

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