Towards AI

SEPTEMBER 11, 2023

Photo by Ross Sneddon on Unsplash In my attempt to grow my expertise as a business, thought, and analytical leader, I tried to read up, attend seminars, and strike up conversations with similar leaders in the field. Upgrade to access all of Medium.

AI 106

AI AI Data Science Machine Learning 106

ODSC - Open Data Science

OCTOBER 13, 2023

If you’re interested in learning what is on the horizon for data science, GitHub is an important platform to become familiar with. The agents within ChatDev collaborate by participating in specialized functional seminars, including tasks such as designing, coding, testing, and documenting. Interested in attending an ODSC event?

Large Language Models 52

Large Language Models Data Science LLM AI 52

Pickl AI

MARCH 19, 2023

For example, if employees do not understand the significance of data storage, they may not keep a backup of sensitive data. Hence, it becomes significant for organizations to ensure that Big Data workshops and seminars. This training includes awareness about Big Data, its significance and how to handle the information.

Big Data 52

Big Data Data Scientist Machine Learning Data Science 52

Pickl AI

SEPTEMBER 4, 2023

Networking: Attend conferences, seminars, and workshops related to statistics and data analysis. Job Search: Start your job search by looking for entry-level positions in fields such as data analysis, market research, or government agencies. This can be a valuable asset when applying for jobs or graduate programs.

Data Analysis 52

Data Analysis Machine Learning Python Continuous Learning 52

Heartbeat

NOVEMBER 23, 2023

He read books, attended seminars, and talked to experts in the field. He searched far and wide for the best and brightest minds in AI and eventually assembled a team of engineers, data scientists, and business strategists. He read books, attended seminars, and talked to experts in the field.

LLM 52

LLM Data Scientist OpenAI AI Tools 52

NYU Center for Data Science

AUGUST 24, 2023

Some people want both, and those people, if attending NYU, join the Math and Data research group at the Center for Data Science (CDS) , which, thanks to the ever-broader applicability of AI, is now working on some of the most important problems currently facing humanity.

Neural Network 75

Neural Network Data Science Machine Learning Explainability 75

Heartbeat

JULY 11, 2023

Listen to our own CEO Gideon Mendels chat with the Stanford MLSys Seminar Series team about the future of MLOps and give the Comet platform a try for free ! By harnessing the power of NLP, companies can enhance their marketing strategies and improve customer experiences. Innovation and academia go hand-in-hand.

NLP 40

NLP Natural Language Processing Chatbots Algorithm 40

Dlabs.ai

AUGUST 20, 2020

It details how to select and apply the best interpretation methods for any machine learning project — making it a valuable source of knowledge for data scientists , statisticians , machine learning engineers , and anyone interested in machine learning. But he quickly recognized the topic’s potential, so he shared it with the world.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 52

ODSC - Open Data Science

OCTOBER 26, 2023

The agents within ChatDev collaborate by participating in specialized functional seminars, including tasks such as designing, coding, testing, and documenting. Originally posted on OpenDataScience.com Read more data science articles on OpenDataScience.com , including tutorials and guides from beginner to advanced levels!

Data Science 52

Data Science Large Language Models Artificial Intelligence Artificial Intelligence 52

NYU Center for Data Science

MARCH 1, 2023

Throughout the year, CDS community members have opportunities to attend talks by researchers in the field of data science. Organized by professors, faculty fellows, and PhD students, the speaker seminar series offers insight into topics from natural language processing to politics.

Natural Language Processing 73

Natural Language Processing Data Science NLP Neural Network 73

Kavita Ganesan

SEPTEMBER 9, 2022

As this was an automation problem relating to data, the product manager (PM) immediately concluded that this was a machine learning problem. The PM then “hired” the company’s data science team to build ML models to solve the problem. The data science team agreed to the data collection task without making any promises on “models.”

Data Scientist 52

Data Scientist AI Strategy Software Engineer AI 52

Heartbeat

MARCH 21, 2023

Listen to our own CEO Gideon Mendels chat with the Stanford MLSys Seminar Series team about the future of MLOps and give the Comet platform a try for free! If your output variable is one-hot encoded you’d use categorical cross entropy, if your output variable is integers and they’re class indices, you’d use the sparse function.

Computer Vision 52

Computer Vision Categorization Deep Learning Machine Learning 52

Heartbeat

MAY 11, 2023

Listen to our own CEO Gideon Mendels chat with the Stanford MLSys Seminar Series team about the future of MLOps and give the Comet platform a try for free ! Both paths interconnect via cross-stage partial connections, which enables gradient flow. Innovation and academia go hand-in-hand. YOLO-NAS Project Template ↪️ ?️YOLO-NAS

Computer Vision 75

Computer Vision Deep Learning Data Scientist ML 75

The MLOps Blog

MARCH 21, 2023

By storing all model-training-related artifacts, your data scientists will be able to run experiments and update models iteratively. Versioning Your data science team will benefit from using good MLOps practices to keep track of versioning, particularly when conducting experiments during the development stage.

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69