What sucks about AI?

Sample marketing plan for a new product PDF

What is horrible with todays AI, it makes a sort of AI alchemy mixed with pseudoscience having dangerous effects as the pseudoscientific theories about racial and ethnic classifications.

,Instead of being a leading science and engineering, the mainstream, big tech AI/ML/DL is selling some math-techniques, statistic models, algorithms and black-box functions, curve-fitting, gradient descent, etc.

, as some surrogates of mind, intellect, intelligence or understanding and real learning.

,Todays big-tech AI is a big fiction, a sort of high-tech alchemy, concerned with the transmutation of biased datasets/matter/base metals into gold or find a universal elixir or narrow/general/universal intelligence.

,Some AI researchers getting an insight that machine learning algorithms, in which computers learn through trial and error, have become a form of alchemy.

AI researchers allege that machine learning is alchemyIn fact, it is largely about statistic inductive inference machines relying on big data computing, algorithmic innovations and statistical learning theory and connectionist philosophy.

,For most people it is mere building a machine learning (ML) model with an easy journey, going via data collection, curation, exploration, feature engineering, model training, evaluation, and finally, deployment.

,EDA: Exploratory Data AnalysisAI Opsu200au2014u200aManaging the End-to-End Lifecycle of AITodays AI Alchemy is coming from Machine Learning, which algorithms need to be configured and tuned for every different real-world scenario.

This makes it very manually intensive and takes a huge amount of time from a human supervising its development.

This manual process is also error-prone, not efficient, and difficult to manage.

Not to mention the scarcity of expertise out there to be able to configure and tune different types of algorithms.

,The configuration, tuning, and model selection is increasingly automated, and all big-tech, as Google, Microsoft, Amazon, IBM, are coming with the similar AutoML platforms, automating the Machine Learning model building process.

,AutoML involves automating the tasks that are required for building a predictive model based on machine learning algorithms.

These tasks include data cleansing and preprocessing, feature engineering, feature selection, model selection, and hyperparameter tuning, which can be tedious to perform manually.


pdfAnd the end-to-end ML pipeline presented is consisting of 3 key stages, while missing the source of all data, the world itself:,Automated Machine Learningu200au2014u200aAn OverviewThe key secrecy of the Big-Tech AI alchemists is the Skin-Deep Machine Learning going as Dark Deep Neural Networks, which models demand training by a large set of labeled data and neural network architectures that contain as many layers as impossible.

,Each task needs its special network architecture:,Artificial Neural Networks (ANN) for Regression and classification,Convolutional Neural Networks(CNN) for Computer Vision,Recurrent Neural Networks (RNN) for Time Series analysis,Self-organizing maps for Feature extraction,Deep Boltzmann machines for Recommendation systems,Auto Encoders for Recommendation systems,ANN was introduced as an information processing paradigm as if to be inspired by the way the biological nervous systems/brain process information.

And such ANN is represented as u201cUniversal Function Approximatorsu201d, which can learn/compute all sorts of activation functions.

Neural networks compute/learn through a specific mechanism of backpropagation and error correction during the testing phase.

Just imagine that by minimizing the error, these multi-layered systems are expected one day to learn and conceptualize ideas by themselves.

Introduction to Artificial Neural Networks(ANN)In all, a few lines of R or Python code will suffice for a piece of machine intelligence and thereu2019s a plethora of resources and tutorials online to train your quaisi-neural networks, like all sorts of deepfake networks, manipulating image-video-audio-text, with zero knowledge of the world, as Generative Adversarial Networks, BigGAN, CycleGAN, StyleGAN, GauGAN, Artbreeder, DeOldify, etc.

,They create and modify faces, landscapes, universal images, etc.

, with zero understanding what it is all about.

,Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks14 Deep and Machine Learning Uses That Made 2019 a New AI Age.

There is a myriad of digital alchemy tools and frameworks going in their own ways:,Open languages u2014 Python is the most popular, with R and Scala also in the mix.

,Open frameworks u2014 Scikit-learn, XGBoost, TensorFlow, etc.

,Approaches and techniques u2014 Classic ML techniques from regression all the way to state-of-the-art GANs and RL,Productivity-enhancing capabilities u2014 Visual modeling, AutoAI to help with feature engineering, algorithm selection and hyperparameter optimization,Development tools u2014 DataRobot, H2O, Watson Studio, Azure ML Studio, Sagemaker, Anaconda, etc.

,As a sad result, a Data Scientistu2019s working environment: scikit-learn, R, SparkML, Jupyter, R, Python, XGboost, Hadoop, Spark, TensorFlow, Keras, PyTorch, Docker, Plumbr, and the list goes on and on, is providing the whole Fake AI Stack for your alchemy of AI.

,Modern AI Stack & AI as a Service Consumption ModelsBuilding The AI StackTo conclude the answer, here is the black list of the big-tech AI alchemists, blown to a $trillion cap and properly dubbed as G-MAFIA:Google AI,About u2013 Google AIMicrosoft AI,Microsoft Artificial IntelligenceAmazon AI,AI with AWS Machine LearningFacebook AI,Facebook AIIBM AI,https://www.



com/artificial-intelligence/Apple AI,Join the Apple Machine Learning and AI team and make an impact with the products you create and the research you publish.

Again, what is impersonated as AI, in fact, a false and counterfeit AI.

At the very best, it is a sort of automatic learning technologies, ML/DL/NN pattern-recognizers, which are essentially mathematical and statistical in nature, unable to act intuitively or model their environment, being with zero intelligence, nil learning and NO understanding.

,That a totally fake AI should be somehow rectified is becoming plain even to the Turing award fakers, Hinton, LeCun and Bengio.

All three Turing Award winners agree on the criticality of Deep Learningu2019s problems.

,Yann LeCun presented the top 3 challenges to Deep Learning:nLearning with fewer labeled samplesnLearning to reasonnLearning to plan complex action sequences,Geoff Hinton u2014 Its about the problems with CNNs and why theyu2019re rubbishu201d:nCNNs not good at dealing with rotation or scalingnCNNs do not understand images in terms of objects and their partsnCNNs are brittle against adversarial examples,Yoshua Bengio u2014 u201cNeural Networks need to develop consciousnessu201d:nShould generalize faster from fewer examplesnLearn better models from the world, like common sensenGet better at u201cSystem 2u201d thinking (slower, methodological thinking as opposed to fast recognition).

,AAAI-20/IAAI-20/EAAI-20 Invited Speaker ProgramWe all face with an unprecedented case of totally fake Artificial Intelligence (FAI) led by the US G-MAFIA + Chinas BAT-Triada.



com/pulse/totally-fake-artificial-intelligence-fai-us-g-mafia-azamat-abdoullaev/These kinds of fakes are typically punished under fraud and trademark laws.

,Penalties are increased where the crime resulted in financial gain, or resulted in another party suffering a financial loss.

Counterfeiting - FindLawGoogle (Alphabet) has joined the trillion-dollar market cap, a group that has included Apple, Amazon and Microsoft.

The biggest tech companies, which include the four above and Facebook, are collectively worth $5 trillion.

,Meantime, 45 million Americans collectively owe in student loans $1.

5 trillion (6.

9% of GDP), and they are struggling to pay it back, dreaming for $100000u2013500000 fake AI/ML/DL/NN placement in any G-MAFIA or BAT-triada company.



com/in/azamat-abdoullaev-335a0881/detail/recent-activity/posts/Kiryl Persianovs answer to Is most of what people call AI actually machine learning?Universal Artificial Intelligence: AI for Everybody and Everything (AI4EE),The First GLOBAL AI Company: EIS Encyclopedic Intelligent Systems ltdKiryl Persianovs answer to How close are we to Artificial Super Intelligence?Kiryl Persianovs answer to Which company do you think will be the first to create the singularity for artificial intelligence?Universal Artificial Intelligence: AI for Everybody and Everything (AI4EE)

Sample marketing plan PDF

How do you go about developing a successful marketing strategy? Marketing strategies are typically made up of multi-faceted, comprehensive tactics, for growing your business and enhancing brand awareness.

There are many considerations and variables that go into the development of a strategy that can be successfully and consistently implemented.

,Mplans offers a library of more than 100 free sample marketing plans to build from, a slew of resources covering every aspect of planning a successful marketing strategy, and intuitive marketing planning software, Sales and Marketing Pro, to walk you through every step of the strategic planning process, all the way through budgeting, forecasting, and creating stellar presentations.

,Key Features:Visually stunning presentations, Smart forecasting and budgeting tools, Instructions and examples at every step,PlanLab is an easy-to-use software application that guides users through the full six steps of creating a marketing plan.

Guided through a series of questions with a few paragraphs of marketing advice accompanying each to help users formulate responses, along with real-world examples, users simply work through the questionnaire and responses are saved and formatted as a complete marketing plan in Microsoft Word or PDF format.

,Key Features:Clean user interface, Expert guidance in each section, Pop-up examples and diagrams offer further guidance, Add photos and content to each section as you go,

Marketing plan in business plan example

Apologies in advance for the blatant self promotion, but my company runs a site dedicated to marketing planning at http://www.


com/,The site has tons of free marketing plans and marketing plan templates you can check out.

We also sell marketing planning software that does what you are looking to do, including the ability to upload a plan to a secure, private website for online sharing with your team.

,An alternative for small business clients is to take a look at John Jantschs book: Duct Tape Marketing.

While not specifically a plan template, it guides readers through the process of creating a marketing plan.

You can find the book on Amazon here: http://www.


com/Duct-Tape-Marketing-Practical-ebook/dp/B001NXCXVC,I hope this helps.

Please feel free to follow up with more specific questions if needed.