TensorFlow: Advanced Techniques Specialization

Colleagues, master your skill set with the TensorFlow: Advanced Techniques Specialization from DeepLearning.AI. Customize your machine learning models through four hands-on courses. Understand the underlying basis of the Functional API and build exotic non-sequential model types, custom loss functions, and layers, learn optimization and how to use GradientTape & Autograph, optimize training in different environments with multiple processors and chip types, practice object detection, image segmentation, and visual interpretation of convolutions, and explore generative deep learning, and how AIs can create new content, from Style Transfer through Auto Encoding and VAEs to GANs. Gain high demand skills in Model Interpretability, Custom Training Loops, Custom and Exotic Models, Generative Machine Learning, Object Detection, Functional API, Custom Layers, Custom and Exotic Models with Functional API, Custom Loss Functions, Distribution Strategies, Basic Tensor Functionality and GradientTape for Optimization. The four skill-based training modules include: 1) Custom Models, Layers, and Loss Functions with TensorFlow, 2) Custom and Distributed Training with TensorFlow, 3) Advanced Computer Vision with TensorFlow, and 4) Generative Deep Learning with TensorFlow. 

Sign-up today (individuals & teams welcome): https://tinyurl.com/k9pnhsra 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy

Python Programming - Three Best In-Class Training Courses

Colleagues, the dramatic growth in Python programming ensures that well-trained developers and programmers have optimal career and income opportunities. Here are three hand-picked Python programs from our archives to give you a competitive advantage. First is the Practical Python Data Science Techniques program equips you to calculate the word frequencies using Data Science techniques of Python, work with Scikit-learn to solve problems in Machine Learning, and perform Cluster Analysis using Python Data Science. You will learn to perform Exploratory data analysis on your Data, Clean and process your Data to have the right shape, Tokenize your Document to words with Python, Calculate the word frequencies using Data Science Techniques of Python, Work with scikit-learn to solve every problem in Machine Learning, Perform Cluster Analysis using Python Data Science Techniques, and Build a Time Series Analysis with Panda. Next is the  Essential Machine Learning and AI with Python and Jupyter Notebook program shows you how AWS and Google Cloud Platform can be used to solve real-world business problems in Machine Learning and AI. It covers how to get started with Python via Jupyter Notebook, and then proceeds to dive into nuts and bolts of Data Science libraries in Python, including Pandas, Seaborn, scikit-learn, and TensorFlow. EDA, or exploratory data analysis, is at the heart of Machine Learning;. Software engineering fundamentals tie the series together, with key instruction on linting, testing, command-line tools, data engineering APIs. And third, the Supervised Learning - Linear Regression in Python will equip you to apply Least Squares regression and its assumptions to real world data. Then we'll improve on that algorithm with Penalized Regression and non-parametric Kernel methods Learn to apply algorithms in the following areas: Least squares, Penalized least squares, Non-parametric methods, Model selection and fit on real world applications including Insurance and Healthcare. 

Sign-up today (individuals & teams welcome):

• Practical Python Data Science Techniques

• Essential Machine Learning and AI with Python and Jupyter Notebook

• Supervised Learning - Linear Regression in Python

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy

TensorFlow 2.0 - Three Best In-Breed Programs for Career Growth

Dev colleagues, TensorFlow 2.0 continues its rapid growth as the premier algorithm library for use with Python. To gain a competitive edge in your development reer here are three hand-picked TF 2.0 programs to sharpen and expand your TensorFlow skillset. First, the Deep Learning Algorithms With TensorFlow 2.0 program will train you to build Deep Learning neural networks with TensorFlow 2.0. Deep Learning has become the dominant method for speech recognition (Google Assistant), computer vision (search for "my pictures" on Google Photos), language translation, and even game-related Artificial Intelligence (AlphaGo and DeepMind). Gain a solid understanding of Deep Learning models and use Deep Learning techniques to solve business and other real-world problems to make predictions quickly and easily. Next, the Natural Language Processing with TensorFlow 2.0 Specialization from Andrew Ng teaches the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. Gain high-demand/highly marketable skills in Natural Language Processing, Tokenization, Machine Learning, Tensorflow and RNNs. And third, the TensorFlow 2.0 for Deep Learning program provides you with the core of deep learning using TensorFlow 2.0. Train your deep learning networks from scratch, pre-process and split your datasets, train deep learning models for real-world applications, and validate the accuracy of your models. You will learn to Develop real-world deep learning applications and Classify IMDb Movie Reviews using Binary Classification Model.

Sign-up today for one or all programs (individuals & teams welcome):

• Deep Learning Algorithms With TensorFlow 2.0

• Natural Language Processing with TensorFlow 2.0 Specialization

• TensorFlow 2.0 for Deep Learning

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy