Natural Language Processing with Python

Colleagues, in the “Natural Language Processing with Python” training program you will learn to use Machine Learning, Spacy, NLTK, SciKit-Learn, Deep Learning, and more to conduct Natural Language Processing. [80 lectures • 11 hours of training]. Learn to work with Text Files with Python and how to work with PDF files in Python. Utilize Regular Expressions for pattern searching in text. Use Spacy for ultra fast tokenization. Learn about Stemming and Lemmatization. Understand Vocabulary Matching with Spacy. Use Part of Speech Tagging to automatically process raw text files. Understand Named Entity Recognition. Visualize POS and NER with Spacy. Use SciKit-Learn for Text Classification and Latent Dirichlet Allocation for Topic Modelling. Learn about Non-negative Matrix Factorization. Use the Word2Vec algorithm, NLTK for Sentiment Analysis and Deep Learning to build out your own chat bot. Skill-based training lessons cover: 1) Python Text Basics, 2) Natural Language Processing Basics, 3) Part of Speech Tagging and Named Entity Recognition, 4) Text Classification, 5) Semantics and Sentiment Analysis, 6) Topic Modeling, and 7) Deep Learning for NLP.

Enroll today (teams & executives are welcome): https://tinyurl.com/mrcauakr

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

Google AI Essentials (training)

Colleagues, the Google AI Essentials program is designed to help people across roles and industries get essential AI skills to boost their productivity, zero experience required. The course is taught by AI experts at Google who are working to make the technology helpful for everyone. In under 10 hours, they’ll do more than teach you about AI — they’ll show you how to actually use it in the real world. Stuck at the beginning of a project? You’ll learn how to use AI tools to generate ideas and content. Planning an event? You’ll use AI tools to help research, organize, and make more informed decisions. Drowning in a flooded inbox? You’ll use AI tools to help speed up those daily work tasks, like drafting email responses. You’ll also learn how to write effective prompts and use AI responsibly by identifying AI’s potential biases and avoiding harm. After you complete the course, you’ll earn a certificate from Google to share with your network and potential employers. By using AI as a helpful collaboration tool, you can set yourself up for success in today’s dynamic workplace — and you don’t even need programming skills to use it. Skill-based modules include: 1) Introduction to AI, 2) Maximize Productivity With AI Tools, 3) Discover the Art of Prompt Engineering, 4) Use AI Responsibly, and 5) Stay Ahead of the AI Curve. Learn generative AI tools to help develop ideas and content, make more informed decisions, and speed up daily work tasks. Write clear and specific prompts to get the output you want - you’ll apply prompting techniques to help summarize, create tag lines, and more. Use AI responsibly by identifying AI’s potential biases and avoiding harm. Develop strategies to stay up-to-date in the emerging landscape of AI. Gain high demand and highly marketable skills in Artificial Intelligence (AI), Prompt Engineering, Large Language Models (LLMs) and Generative AI.

Enroll today (teams & executives are welcome): https://tinyurl.com/49f59efr 

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

Machine Learning A-Z: AI, Python & R + ChatGPT Prize

Colleagues, in the “Machine Learning A-Z: AI, Python & R + ChatGPT Prize” program you will learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included. Master Machine Learning on Python & R. Have a great intuition of many Machine Learning models. Make accurate predictions and powerful analysis. Make robust Machine Learning models. Create strong added value to your business. Use Machine Learning for personal purposes. Handle specific topics like Reinforcement Learning, NLP and Deep Learning along with advanced techniques like Dimensionality Reduction. Learn which Machine Learning model to choose for each type of problem. Skill-based training modules include: 1) Data Preprocessing, 2) Regression, 3) Classification, 4) Clustering, 5) Association Rule Learning, 6) Reinforcement Learning, 7) Natural Language Processing, 8) Deep Learning, 9) Dimensionality Reduction, and 10) Model Selection & Boosting.

Enroll today (teams & executives are welcome): https://tinyurl.com/bdzbu74u 

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

Structuring Machine Learning Projects (DeepLearning.AI)

Colleagues, the “Structuring Machine Learning Projects” will equip you to diagnose errors in a machine learning system; prioritize strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning. Gain highly marketable skills in Decision-Making, Machine Learning, Deep Learning, Inductive Transfer and Multi-Task Learning. Training modules address: 1) ML Strategy (Part I): Streamline and optimize your ML production workflow by implementing strategic guidelines for goal-setting and applying human-level performance to help define key priorities - Why ML Strategy, Orthogonalization, Single Number Evaluation Metrics, Satisficing and Optimizing Metric, Train/Dev/Test Distributions, Size of the Dev and Test Sets, When to Change Dev/Test Sets and Metrics?, Why Human-level Performance?, Avoidable Bias, Understanding Human-level Performance, Surpassing Human-level Performance and Improving your Model; and Performance; and 2) ML - Strategy (Part II): Develop time-saving error analysis procedures to evaluate the most worthwhile options to pursue and gain intuition for how to split your data and when to use multi-task, transfer, and end-to-end deep learning - Carrying Out Error Analysis, Cleaning Up Incorrectly Labeled Data, Build your First System Quickly, then Iterate, Training and Testing on Different Distributions, Bias and Variance with Mismatched Data Distributions, Addressing Data Mismatch, Transfer Learning, Multi-task Learning, What is End-to-end Deep Learning?, and Whether to use End-to-end Deep Learning. 

Enroll today (teams & executives are welcome): https://imp.i384100.net/RGPGQa 

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

Machine Learning A-Z: AI, Python & R + ChatGPT Prize

Colleagues, in the “Machine Learning A-Z: AI, Python & R + ChatGPT Prize” training program you will learn to create Machine Learning Algorithms in Python and R from two Data Science experts. [386 lectures - 42 hours 48 minutes of training]. Code templates included. Master Machine Learning on Python & R. Have a great intuition of many Machine Learning models. Make accurate predictions, powerful analysis and robust Machine Learning models. Create strong added value to your business. Use Machine Learning for personal purposes. Handle specific topics like Reinforcement Learning, NLP and Deep Learning and advanced techniques like Dimensionality Reduction. Understand which Machine Learning model to choose for each type of problem. Skill-based training lessons include: 1) Data Preprocessing, 2) Regression, 3) Classification, 4) Clustering, 5) Association Rule Learning, 6) Reinforcement Learning, 7) Natural Language Processing, 8) Deep Learning, 9) Dimensionality Reduction, and 10) Logistic Regression. 

Enroll today (teams & executives are welcome): https://tinyurl.com/5dm58hae 

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

ChatGPT Complete Guide: Learn Midjourney, ChatGPT 4 & More

Colleagues, the “ChatGPT Complete Guide: Learn Midjourney, ChatGPT” program will equip you with 25+ Generative AI Tools to 10x Your Business, Productivity, Creativity | GenAI, ChatGPT, CustomGPTs, Prompt Engineering. Learn to create content, synthesize information, and learn faster than ever with effective prompt engineering, turn your creativity into paid work, generate fresh ideas, reach new audiences, and scale your projects, achieve your goals faster with ChatGPT, manage your time, prioritize tasks, and create an optimized daily schedule, generate targeted content with ChatGPT, capitalize on trends, create ads, newsletters, and media campaigns, improve your communication, leadership, problem-solving, and social skills with personalized ChatGPT feedback, easily create AI-generated speech for any use case and even clone your own voice entirely. [405 lectures • 25 hours 25 minutes of teaching]. Skill-based training modules include: 1) ChatGPT Complete Guide Introduction, 2) ChatGPT: Fundamentals and 150+ Prompting Ideas for ChatGPT, 3) ChatGPT: Prompt Engineering and Custom, 4) ChatGPT: Enhancements, Extensions, and Advanced Features, 5) ChatGPT: Simplify Complex Information, Instantly Proofread, and Re-Organize Data, 6) ChatGPT: Content Creation, Social Media, Copywriting, SEO, and Video Scripts, 7) ChatGPT: Self-Guided Learning, Qualitative and Quantitative Research, 8) Custom GPTs: Create Your Own Custom Versions of ChatGPT, 9) CustomGPTs (Previously Plugin Store): Improve ChatGPT with CustomGPTs, 9) ChatGPT Mobile App: Access the Power of ChatGPT from Your Phone, 10) ChatGPT: How LLM's Work, How GPT Was Trained, and How GPT Generates Outputs, 11) ChatGPT: Real World Use Cases, Spreadsheets, and Training ChatGPT on Writing, 12) ChatGPT: API Key Setup and Building Intelligent Assistants, 13) Gemini: AI-Powered Google Workspace Built Into Gmail, Docs, Sheets, and More, 14) Bing: AI-Powered Search, Chat Using GPT-4, and Image Creation, 15) Notion AI: Write Faster, Use AI Templates, Organize Everything In One Place, 16) Perplexity.AI: For Research and Writing, 17) Google's Vertex AI: Model Customization, Training, and Deployment, 18) Microsoft Copilot: Integrated AI Workflow, 19) Google Gemini: Fundamentals and Creative Text Generation, 20) Make.com: Create Advanced Time Saving Automations, 21) Midjourney: Setup, Settings, Workflow, Commands, Prompting, and Stylization - Reiterating, Upscaling, Aspect Ratios, and Remixing, Advanced Parameters, Editing Your Photos with Midjourney, Product Photography, Landing Pages, and Blending Two Images Together, 22) Adobe Firefly: Generative Art, Text to Image, Re-coloring, and Text Effects - Photoshop AI: Remix, Regenerate, and Reinvent your Images, 23) DALL-E 2: Keyboard Shortcuts, Inpainting, Outpainting, and Image Blending … and much more.

Enroll today (teams & executives are welcome): https://tinyurl.com/4nf3s8f3 

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

OpenAI for Beginners: Programmatic Prompting (training)

Colleagues, in the “Open AI for Beginners: Programmatic Prompting” training you will learn to programmatically prompt an AI model using OpenAI API and Python, enrich existing data using AI via OpenAI API and JSON, and generate information in a web app using an AI model via OpenAI API. Gain high-demand skills in Artificial Intelligence (AI), OpenAI, AI prompting and Large Language Models. In the Guided Learning Project you will programmatically prompt an OpenAI model using the OpenAI API, and utilize the AI to enrich data of an existing movie collection. You will use Python to prompt the davinci-003 OpenAI model based on JSON objects storing details of the user's movie collection. You will enrich the movie collection with data such as director, genre and year of release, as well as dynamically generating the movie plots, through the OpenAI model. You will also learn how to calibrate the model response using the temperature parameter. Learners in this project will create a dynamic AI-driven data enrichment and content generation system for a movie database web app. This project will help developers to implement OpenAI in their projects, using the AI model beyond ChatGPT, generating content or enriching data using an AI model. Skill-based training modules include: 1) Set up OpenAI API, 2) Experiment with the key concepts of OpenAI, 3) Prompt programmatically an OpenAI text model and generate a response, 4) Demonstrate your ability to prompt OpenAI text models via Python and OpenAI API, 5) Data enrich the movie collection with OpenAI, 6) Demonstrate your ability to enrich data with OpenAI API, 6) Generate movie plots programmatically, and 7) Enrich a music collection website with OpenAI. Recommended experience: Foundational knowledge of Python (objects, variables, functions), HTML (tags, attributes, classes), JavaScript/JSON (variables, functions, syntax).

Enroll today (teams & executives are welcome): https://imp.i384100.net/Y9r7PR 

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

Artificial Intelligence: Reinforcement Learning in Python

Colleagues, the “Artificial Intelligence: Reinforcement Learning in Python” will provide you with a complete guide to Reinforcement Learning, with Stock Trading and Online Advertising Applications. [112 lectures • 14 hours 41 minutes of training]. Apply gradient-based supervised machine learning methods to reinforcement learning. Understand reinforcement learning on a technical level. Understand the relationship between reinforcement learning and psychology. Implement 17 different reinforcement learning algorithms. Understand important foundations for OpenAI ChatGPT, GPT-4. Skill-based training modules include: 1) Return of the Multi-Armed Bandit, 2) High Level Overview of Reinforcement Learning, 3) Markov Decision Processes, 4) Dynamic Programming, 5) Monte Carlo, 6) Temporal Difference Learning, 7) Approximation Methods, 8) Interlude: Common Beginner Questions, 8) Stock Trading Project with Reinforcement Learning, 9) Setting Up Your Environment (FAQ by Student Request), 10) Extra Help With Python Coding for Beginners (FAQ by Student Request), 11) Effective Learning Strategies for Machine Learning. 

Enroll today (teams & executives are welcome): https://tinyurl.com/2xpw6ts4 

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)