Define LogisticRegression class to encapsulate the functionality of Logistic Regression The class has 5 methods: __init__, sigmoid, compute_cost, fit and predict. First let's Initialize learning rate, epochs, weights and bias attributes using the __init__ method.
MACHINE LEARNING
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Logistic Regression Implementation Guide from Scratch
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Logistic Regression clearly explained and implemented from scratch in Python:
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AI Models Show Enhanced Analysis and Multilingual Capabilities
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Each model shows increased capabilities in analysis and forecasting, nuanced content creation, code generation, and conversing in non-English languages like Spanish, Japanese, and French. pic.twitter.com/vO8hZJD4Ws
— Anthropic (@AnthropicAI) 4 mars 2024Each model shows increased capabilities in analysis and forecasting, nuanced content creation, code generation, and conversing in non-English languages like Spanish, Japanese, and French.
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Claude 3: New Generation AI Models Set Industry Benchmarks
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Today, we're announcing Claude 3, our next generation of AI models. The three state-of-the-art models—Claude 3 Opus, Claude 3 Sonnet, and Claude 3 Haiku—set new industry benchmarks across reasoning, math, coding, multilingual understanding, and vision.
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Register for SASInnovate 2024 Leading AI and Data Analytics Experience
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Register now for #SASInnovate to join 2024's leading #AI and Data #Analytics experience: https://
sas.com/gms/redirect.j
sp?detail=PLN22951_174944999
… by @SASsoftware 𝒜𝐼 & 𝒜𝓃𝒶𝓁𝓎𝓉𝒾𝒸𝓈 𝐹𝑜𝓇 𝒜𝓁𝓁 #DataScience #DecisionScience #AI #ML
PLUS
Experience all of the following: https://
linkedin.com/posts/kirkdbor
ne_ai-analytics-sasinnovate-activity-7161167090496782336-cxsz?utm_source=share&utm_medium=member_desktop
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Technical insights on LLM indexing and retrieval behavior
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It has been like this for a while for me. I tend to believe that the difference is only in the Action animation where it is either shown or not – the source is always a some sort of index. More than this – they are pre indexing some of the resources like Wikipedia more
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Five Essential Skills to Remain Relevant in Changing Landscape
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Quote from article: Here are 5 skillsets to help you stay relevant in the changing landscape: 1. Analytical thinking
2. Creative thinking
3. Leadership and social influence
4. AI and big data
5. Curiosity and lifelong learning …similar to my list: -
Games and Crowdsourcing: AI-Powered Scientific Discovery Projects
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Some major games as work efforts that got some actual results:
Folding at home: https://
foldingathome.org
Games with a purpose (sort of became Duolingo): https://
cmu.edu/homepage/compu
ting/2008/summer/games-with-a-purpose.shtml
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Galaxy Zoo: https://
zooniverse.org/projects/zooke
eper/galaxy-zoo/
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Project Discovery: https://
eveonline.com/discovery -
Alternative Timeline: Hebbian Learning Dominance in AI
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Imagine the alternative timeline if Hebbian Learning took over…
