“ChatGPT … ChatGPT, Bard and Beyond” (new audio & ebook)

Colleagues, the new book “ChatGPT … ChatGPT, Bard and Beyond”(Audible) (Kindle) explores how generative conversational AI has the potential to improve accessibility for people with disabilities and those who struggle with language barriers, as AI models can be trained to understand and respond to a wide range of languages and dialects. Listen or read this new book now on Amazon. Generative conversational AI represents a major shift in how we interact with technology and has the potential to improve many aspects of our lives, from customer service and support to healthcare and accessibility. 

ChatGPT is a specific implementation of Generative conversational AI technology developed by OpenAI. It is a large language model trained on vast text data, allowing it to generate human-like responses to text inputs. In the context of conversational AI, ChatGPT can be used to build chatbots, virtual assistants, and other applications that require the ability to generate text in real time. The model's size and training data allow it to develop highly relevant and human-like text, making it well-suited for various applications. As a state-of-the-art Generative conversational AI, ChatGPT is the perfect tool for organizations looking to step up their communication game. Whether you want to improve interactions with customers, employees, or other stakeholders, ChatGPT makes it easy. Want to see just how much you can achieve with this powerful tool? Key topics include: 1) ChatGPT History and Development, 2) The Technology Underlying ChatGPT, 3) Applications of ChatGPT in Natural Language Processing and Generation, 4) Using ChatGPT for Language Translation and Summarization, 5) ChatGPT in Dialogue Systems and Conversational AI, 6) Ethics and Limitations of ChatGPT, 7) Future Developments and Advancements in ChatGPT, 8) The Impact of ChatGPT on Society, and 9) Conclusions and Next Steps.

Audible (https://audible.com)

Kindle (https://tinyurl.com/yhf7ff27) 

Recommended Reading: Access the Transformative Innovation book series on Amazon today! 

 

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

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

3 - “The Race for Quantum Computing” (Audible) (Kindle) 

And download your free AI-ML-DL - Career Transformation Guide.

Regards, Genesys Digital (Amazon Author Page) https://tinyurl.com/hh7bf4m9 

Implement Search Algorithms with Python (training)

Dev colleagues, the Implement Search Algorithms with Python program will equip you to perform Linear Search,  Time Complexity of Linear Search, Finding Elements in Lists) Best Case Performance, Worst Case Performance and Average Case Performance. Skill-based training modules include: 1) Linear Search - Imagine that you are a DJ at a party. The diagram on the right shows your playlist for the event. A party guest wants to know if “Uptown Funk” by Bruno Mars is a song on your playlist, 2) Finding Elements in Lists - Linear search can be used to search for a desired value in a list. It achieves this by examining each of the elements and comparing it with the search element starting with the first element to the, 3) Best Case Performance - Linear search is not considered the most efficient search algorithm, especially for lists of large magnitudes. However, linear search is a great choice if you expect to find the target value, 4) Worst Case Performance - There are two worst cases for linear search. Case 1: when the target value, 5) Average Case Performance - If this search was used 1000 times on 1000 different lists, some of them would be the best case, some the worst. For most searches, it would be somewhere in between, 6) Time Complexity of Linear Search - Linear search runs in linear time. Its efficiency can be expressed as a linear function, with the number of comparisons to find a target increasing linearly as the size of the list, N, increases. In the Linear & Binary Search Project - learn to modify a version of binary search to look for data in a sparse dataset.

Enroll today (teams & execs welcome): https://fxo.co/Ccqx 

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

“Transformative Innovation” book series for your listening-reading pleasure: 

 

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

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

3 - The Race for Quantum Computing  (Audible) (Kindle) 

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

Advanced R Programming (training)

Colleagues, the Advanced R Programming skill-based training includes functional programming in R, robust error handling, object oriented programming, profiling and benchmarking, debugging, and proper design of functions. Upon completing this course you will be able to identify and abstract common data analysis tasks and to encapsulate them in user-facing functions. Because every data science environment encounters unique data challenges, there is always a need to develop custom software specific to your organization’s mission. You will also be able to define new data types in R and to develop a universe of functionality specific to those data types to enable cleaner execution of data science tasks and stronger reusability within a team.  Training modules address: 1) Welcome to Advanced R Programming - you will also be able to define new data types in R and to develop a universe of functionality specific to those data types to enable cleaner execution of data science tasks and stronger reusability within a team, 2) Functions - control structures in R for controlling the logical flow of an R program. We then move on to functions, their role in R programming, and some guidelines for writing good functions, 3) Functional Programming - understanding the concepts of functional programming will help you to become a better data science software developer. In addition, we cover error and exception handling in R for writing robust code, 4) Functional Programming: Lesson Choices, 5) Debugging and Profiling - examine debugging tools in R and how they can be used to identify problems in code. Profiling tools allow you to see where your code spends its time and to optimize your code for maximum efficiency, and 5) Object-Oriented Programming - define custom data types or classes and a set of functions for handling that data type in a way that you define. R has three different methods for implementing object oriented programming and we will cover them in this section. 

Enroll today (teams & execs welcome): https://tinyurl.com/3rbccwy7 

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

“Transformative Innovation” book series for your listening-reading pleasure: 

 

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

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

3 - The Race for Quantum Computing  (Audible) (Kindle) 

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

Natural Language Processing with Python Certification

Dev colleagues, the Natural Language Processing with Python Certification program covers  NLP and Python Programming - Tokenization, Stemming, Lemmatization, POS tagging, Named Entity Recognition, and Syntax Tree Parsing  using Python’s most famous NLTK package. Skill-based training modules include: 1)  Overview of Text Mining - Need of Text Mining, Natural Language Processing (NLP) in Text Mining, Applications of Text Mining, OS Module, Reading, Writing to text and word files, Setting the NLTK Environment and Accessing the NLTK Corpora. Moreover, hands-on lab exercises cover: Installing NLTK Packages using NLTK Downloader, Accessing your operating system using the OS Module in Python, Reading & Writing .txt Files from/to your Local as well as .docx Files from/to your Local, and Working with the NLTK Corpora. {Edureka}

Enroll today (teams & execs welcome): https://fxo.co/9b4a 

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

“Transformative Innovation” book series for your listening-reading pleasure: 

 

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

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

3 - The Race for Quantum Computing  (Audible) (Kindle) 

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

#python #nlp #naturallanguageprocessing #quantum #chatgpt #ai #generativeai #asi #agi #singularity #nltk #aiacademy #Tokenization #Stemming #Lemmatization #POStagging #NamedEntityRecognition #SyntaxTreeParsing #textmining

Consider the “Data Driven Organizations” Amazon Audible & Kindle Book Series from Genesys Digital

Consider the “Data Driven Organizations” Amazon Audible & Kindle Book Series from Genesys Digital

Data-Driven Organizations book series: 

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

Cheers. Order today, Genesys Digital (Amazon Author Page) https://tinyurl.com/hh7bf4m9 

Data Science Career Transformation Guide (2024 v1)

The new Data Science Career Transformation Guide includes valuable information that enables you to accelerate your career growth and income potential - Careers, Salaries, Certifications and Training programs, Publications and Portals along with Professional Communities and Networking forums. This guide focuses on Data Science, Big Data, Analytics, Pandas and Jupyter Notebooks along with the tools and the technologies to perform these functions including Python, R, dplyr, Probability and Statistics, Google BigQuery, SQL, Hadoop and Tableau.

Based upon the article “The 20 Top-Paying IT Certifications Going into 2024” Skillsoft identifies two Data Science-related certifications among the highest compensated credentials: 

• Rank #2: Google Cloud Professional - Data Engineer (Average Annual Salary: $193,621)

• Rank #7: Google Cloud Professional - Database Engineer (Average Annual Salary: $163,193)

Indeed.com lists some 599,779+ Data Scientist positions in the United States alone. 

There are three critical success factors in our career transformation model. First, Get Trained and Certified. Professionals with best in-class skill sets combined with industry-leading certifications advance more rapidly than your peers and typically earn 3%-5% above their colleagues. Second, Get Published. Relevant, succinct and insightful articles on best practices in your technical domain or functional discipline enhance your credibility and integrity. And third, Get Connected. Developing and maintaining a robust professional network - locally and globally - bolsters your career persona and positions you as the “go to” subject matter expert in your field.

Download your free Data Science - Career Transformation Guide.

“Data-Driven Organizations”  book series for your listening-reading pleasure: 

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

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